From 1e2c8b81db163b8213151e75a77eb61c8536afb3 Mon Sep 17 00:00:00 2001 From: mumian Date: Fri, 2 Dec 2016 14:27:21 -0500 Subject: [PATCH 01/90] Saurin's domain-joined hdi article --- .../hdinsight-domain-joined-architecture.md | 139 ++++++++++++++++++ .../image1.png | Bin 0 -> 61139 bytes .../image2.png | Bin 0 -> 101450 bytes .../image3.png | Bin 0 -> 67283 bytes 4 files changed, 139 insertions(+) create mode 100644 articles/hdinsight/hdinsight-domain-joined-architecture.md create mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/image1.png create mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/image2.png create mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/image3.png diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md new file mode 100644 index 0000000000000..e67c1acd73b9d --- /dev/null +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -0,0 +1,139 @@ +--- +title: Domain-joind HDInsight architecture| Microsoft Docs +description: Learn .... +services: hdinsight +documentationcenter: '' +author: saurinsh +manager: jhubbard +editor: cgronlun +tags: azure-portal + +ms.assetid: 7dc6847d-10d4-4b5c-9c83-cc513cf91965 +ms.service: hdinsight +ms.devlang: na +ms.topic: hero-article +ms.tgt_pltfrm: na +ms.workload: big-data +ms.date: 10/31/2016 +ms.author: saurinsh + +--- +# Plan Domain-joined HDInsight clusters + +Today, HDInsight is a single user cluster, which works fine for most companies who have smaller application teams building their BigData workloads. However, as Hadoop is gaining popularity, a lot of enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams are sharing clusters. Thus, multi-user clusters are one of the most requested functionality in HDInsight. + +Instead of building our own multi-user authentication, and authorization, HDInsight has decided to rely on the most popular identity provider – Active Directory. After integrating HDInsight with active directory, multiple users from active directory will be able to communicate with the cluster using their active directory credentials. The powerful security groups functionality in active directory can be used to manage multi-user authorization in HDInsight. HDInsight will map the active directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, etc) will seamlessly work for the logged in user. + +## What are different ways that HDInsight can be integrated with Active Directory? (Title is too long to fit into the TOC) + +When HDInsight is integrated with active directory, the HDInsight Linux nodes will be domain-joined to the active directory domain. HDInsight will create service principals for the hadoop services running on the cluster and place them within a specified Organizational Unit in the active directory. HDInsight will also create reverse DNS mappings in the active directory domain for the IP addresses of the nodes that are joined to the domain. + +To achieve this setup, there are multiple architectures that you can follow. The details about these architectures are provided below. You will need to decide which architecture works better for you. + +1. HDINSIGHT INTEGRATED WITH ACTIVE DIRECTORY RUNNING ON AZURE IAAS + + This is by far the simplest architecture for integrating HDInsight with active directory. The architecture diagram is provided below. In this architecture, you will have your active directory domain controller running on a (or multiple) VMs in Azure. Usually these VMs will be within a Virtual network. You can setup a new Virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you will need to peer these virtual networks using VNET to VNET peering. + + ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image1.png) + + Pre-requisites that need to be setup on active directory + + * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. + * LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). + * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). + * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions: + + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. + +2. HDINSIGHT INTEGRATED WITH A CLOUD-ONLY AZURE ACTIVE DIRECTORY. + + For a cloud-only azure active directory, you will need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using azure active directory domain services (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. + + The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you will need access to Classic portal, and will need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which will need to be peered with the classic VNET using VNET to VNET peering. + + > [!NOTE] + > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. + + ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) + + Pre-requisites that need to be setup on active directory + + * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). + * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * Password hashes must be synced from AAD to AD DS. + * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions + + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. + +3. HDINSIGHT INTEGRATED WITH AN ON-PREMISES ACTIVE DIRECTORY VIA VPN SETUP. + + This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a VPN connection from Azure to on-premises network. The architecture diagram for this setup is shown below. + + ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image3.png) + + + Pre-requisites that need to be setup on the on-premises active directory + + * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. + * LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). + * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). + * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions + + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. + +4. HDINSIGHT INTEGRATED WITH AN ON-PREMISES ACTIVE DIRECTORY SYNCED TO AN AZURE ACTIVE DIRECTORY + + This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You will need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using azure active directory domain services (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. + + The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you will need access to Classic portal, and will need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which will need to be peered with the classic VNET using VNET to VNET peering. + + > [!NOTE] + > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. + + ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) + + Pre-requisites that need to be setup on active directory + + * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). + * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * Password hashes must be synced from AAD to AD DS. + * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions + + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. + +5. HDINSIGHT INTEGRATED WITH A NON-DEFAULT AZURE ACTIVE DIRECTORY (RECOMMENDED ONLY AS A PLAYGROUND SCENARIO). + + This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the active directory, it may be beneficial to just create a new azure active directory in the subscription. Since this is an AAD that you created, you will have full permissions to this AAD to configure the AD DS. + + The architecture diagram for this setup is shown below. The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. + + The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you will need access to Classic portal, and will need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which will need to be peered with the classic VNET using VNET to VNET peering. + + > [!NOTE] + > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. + + ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) + + Pre-requisites that need to be setup on active directory + + * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. + * LDAPS must be setup when you configure AD DS. You can create a self-signed certificate to configure LDAPS. However, to use a self-signed certificate, you will need to request an exception from hdipreview@microsoft.com. + * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * Password hashes must be synced from AAD to AD DS. + * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions + + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. + +## Next steps +* For configuring a Domain-joined HDInsight cluster, see [Configure Domain-joined HDInsight clusters](hdinsight-domain-joined-configure.md). +* For managing a Domain-joined HDInsight clusters, see [Manage Domain-joined HDInsight clusters](hdinsight-domain-joined-manage.md). +* For configuring Hive policies and run Hive queries, see [Configure Hive policies for Domain-joined HDInsight clusters](hdinsight-domain-joined-run-hive.md). +* For running Hive queries using SSH on Domain-joined HDInsight clusters, see [Use SSH with Linux-based Hadoop on HDInsight from Linux, Unix, or OS X](hdinsight-hadoop-linux-use-ssh-unix.md#connect-to-a-domain-joined-hdinsight-cluster). + diff --git 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SLES for SAP 11 SP3+ |In Kernel |Package: In [Cloud:Tools](https://build.opensuse.org/project/show/Cloud:Tools) repo under "python-azure-agent"
Source Code: [GitHub](http://go.microsoft.com/fwlink/p/?LinkID=250998) | -| openSUSE |openSUSE 13.2+ |In Kernel |Package: In [Cloud:Tools](https://build.opensuse.org/project/show/Cloud:Tools) repo under "python-azure-agent"
Source Code: [GitHub](https://github.com/Azure/WALinuxAgent) | +| SUSE Linux Enterprise |SLES 11 SP4, SLES 12 SP1+ and

SLES for SAP |In Kernel |Package: In [Cloud:Tools](https://build.opensuse.org/project/show/Cloud:Tools) repo under "python-azure-agent"
Source Code: [GitHub](http://go.microsoft.com/fwlink/p/?LinkID=250998) | +| openSUSE |openSUSE Leap 42.1+ |In Kernel |Package: In [Cloud:Tools](https://build.opensuse.org/project/show/Cloud:Tools) repo under "python-azure-agent"
Source Code: [GitHub](https://github.com/Azure/WALinuxAgent) | | Ubuntu |Ubuntu 12.04, 14.04, 16.04, 16.10 |In Kernel |Package: In repo under "walinuxagent"
Source Code: [GitHub](https://github.com/Azure/WALinuxAgent) | ## Partners From f7a52e5b5f48258f86d0ad27405e76a506a9aca7 Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 16:07:22 -0800 Subject: [PATCH 44/90] Refresh linux-intro-on-azure --- .../virtual-machines/virtual-machines-linux-intro-on-azure.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/virtual-machines/virtual-machines-linux-intro-on-azure.md b/articles/virtual-machines/virtual-machines-linux-intro-on-azure.md index 54535dd6c60f0..62b74e0b9e860 100644 --- a/articles/virtual-machines/virtual-machines-linux-intro-on-azure.md +++ b/articles/virtual-machines/virtual-machines-linux-intro-on-azure.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 08/24/2016 +ms.date: 02/02/2017 ms.author: szark --- From e9c9008c33d653f351b7c3786d5896ac03ba004c Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 16:09:43 -0800 Subject: [PATCH 45/90] Refresh these legacy docs --- .../virtual-machines-linux-use-root-privileges.md | 2 +- articles/virtual-machines/virtual-machines-linux-usernames.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/virtual-machines/virtual-machines-linux-use-root-privileges.md b/articles/virtual-machines/virtual-machines-linux-use-root-privileges.md index 6dacfe1eaaf6b..c29ccd4ec55a7 100644 --- a/articles/virtual-machines/virtual-machines-linux-use-root-privileges.md +++ b/articles/virtual-machines/virtual-machines-linux-use-root-privileges.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 10/17/2016 +ms.date: 02/02/2017 ms.author: szark --- diff --git a/articles/virtual-machines/virtual-machines-linux-usernames.md b/articles/virtual-machines/virtual-machines-linux-usernames.md index 641ce7a4450e0..f0c110bb93952 100644 --- a/articles/virtual-machines/virtual-machines-linux-usernames.md +++ b/articles/virtual-machines/virtual-machines-linux-usernames.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 10/17/2016 +ms.date: 02/02/2017 ms.author: szark --- From 268b83879f906fc4327675eeb64da59d30fdb590 Mon Sep 17 00:00:00 2001 From: Sabotta Date: Thu, 2 Feb 2017 16:22:51 -0800 Subject: [PATCH 46/90] Update virtual-machines-windows-portal-sql-server-provision.md updated images --- .../virtual-machines-windows-portal-sql-server-provision.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md index 968c137353688..1981e12693413 100644 --- a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md +++ b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md @@ -47,6 +47,9 @@ In this tutorial, you will: 2. On the Azure portal, click **New**. The portal opens the **New** blade. The SQL Server VM resources are in the **Compute** group of the Marketplace. 3. In the **New** blade, click **Compute** and then click **See all**. 4. In the **Filter** text box type SQL Server, and press the ENTER key. + +![Azure Virtual Machines Blade](./media/virtual-machines-windows-portal-sql-server-provision/azure-compute-blade.png) + 5. Review the available SQL Server templates. 6. Each template identifies a SQL Server version and an operating system. Select one of these images from the list. Then review the details blade that provides a description of the virtual machine image. From 25e7773e3a6cc0f669785f02c99aea949e1b564d Mon Sep 17 00:00:00 2001 From: Sabotta Date: Thu, 2 Feb 2017 16:23:22 -0800 Subject: [PATCH 47/90] Update virtual-machines-windows-portal-sql-server-provision.md updated ms.date field --- .../sql/virtual-machines-windows-portal-sql-server-provision.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md index 1981e12693413..3eb48e935760a 100644 --- a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md +++ b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md @@ -15,7 +15,7 @@ ms.topic: hero-article ms.tgt_pltfrm: vm-windows-sql-server ms.workload: infrastructure-services -ms.date: 01/17/2017 +ms.date: 02/02/2017 ms.author: jroth --- From c3f5f1bc6571ac9b0ec4cc6d4c0e264c2f915b63 Mon Sep 17 00:00:00 2001 From: Carl Rabeler Date: Fri, 3 Feb 2017 07:43:25 -0800 Subject: [PATCH 48/90] Update sql-database-geo-replication-security-config.md --- .../sql-database-geo-replication-security-config.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/sql-database/sql-database-geo-replication-security-config.md b/articles/sql-database/sql-database-geo-replication-security-config.md index 7f1cd9b2b8a8d..ee5c29e37c537 100644 --- a/articles/sql-database/sql-database-geo-replication-security-config.md +++ b/articles/sql-database/sql-database-geo-replication-security-config.md @@ -3,7 +3,7 @@ title: Configure Azure SQL Database security for disaster recovery | Microsoft D description: This topic explains security considerations for configuring and managing security after a database restore or a failover to a secondary server in the event of a data center outage or other disaster services: sql-database documentationcenter: na -author: Caranosov1960lRabeler +author: anosov1960 manager: jhubbard editor: monicar From 37e4700e51f8f606fe28c5ba72356eb9b8d9b78b Mon Sep 17 00:00:00 2001 From: Jeff Stokes Date: Fri, 3 Feb 2017 11:15:12 -0500 Subject: [PATCH 49/90] sa-weird-code-block-issue --- ...ytics-twitter-sentiment-analysis-trends.md | 27 ++++++++++++++++--- 1 file changed, 23 insertions(+), 4 deletions(-) diff --git a/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md b/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md index fbbbf75098f71..1e557633e5934 100644 --- a/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md +++ b/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md @@ -14,10 +14,10 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: big-data -ms.date: 01/24/2017 +ms.date: 02/03/2017 ms.author: jeffstok - --- + # Social media analysis: Real-time Twitter sentiment analysis in Azure Stream Analytics Learn how to build a sentiment analysis solution for social media analytics by bringing real-time Twitter events into Azure Event Hubs. You'll write an Azure Stream Analytics query to analyze the data. You'll then either store the results for later perusal or use a dashboard and [Power BI](https://powerbi.com/) to provide insights in real time. @@ -42,6 +42,7 @@ Use the following steps to create an event hub. 4. Under **SHARED ACCESS POLICIES**, create a new policy with **MANAGE** permissions. ![Shared Access Policies where you can create a policy with Manage permissions.](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-ananlytics-shared-access-policies.png) + 5. Click **SAVE** at the bottom of the page. 6. Go to the **DASHBOARD**, click **CONNECTION INFORMATION** at the bottom of the page, and then copy and save the connection information. (Use the copy icon that appears under the search icon.) @@ -62,16 +63,20 @@ Follow these steps to set up the application: [Steps to generate an OAuth access token](https://dev.twitter.com/oauth/overview/application-owner-access-tokens) Note that you will need to make an empty application to generate a token. + 3. Replace the EventHubConnectionString and EventHubName values in TwitterClient.exe.config with the connection string and name of your event hub. The connection string that you copied earlier gives you both the connection string and the name of your event hub, so be sure to separate them and put each in the correct field. For example, consider the following connection string: - Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey;EntityPath=yourhub +` Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey;EntityPath=yourhub` The TwitterClient.exe.config file should contain your settings as in the following example: +``` add key="EventHubConnectionString" value="Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey" add key="EventHubName" value="yourhub" +``` It is important to note that the text "EntityPath=" does **not** appear in the EventHubName value. + 4. *Optional:* Adjust the keywords to search for. As a default, this application looks for "Azure,Skype,XBox,Microsoft,Seattle". You can adjust the values for **twitter_keywords** in TwitterClient.exe.config, if desired. 5. Run TwitterClient.exe to start your application. You will see Tweet events with the **CreatedAt**, **Topic**, and **SentimentScore** values being sent to your event hub. @@ -88,6 +93,7 @@ Now that Tweet events are streaming in real time from Twitter, we can set up a S * **REGION**: Select the region where you want to run the job. Consider placing the job and the event hub in the same region to ensure better performance and to ensure that you will not be paying to transfer data between regions. * **STORAGE ACCOUNT**: Choose the Azure storage account that you would like to use to store monitoring data for all Stream Analytics jobs that run within this region. You have the option to choose an existing storage account or to create a new one. 3. Click **STREAM ANALYTICS** in the left pane to list the Stream Analytics jobs. + ![Stream Analytics service icon](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-service-icon.png) The new job will be shown with a status of **CREATED**. Notice that the **START** button on the bottom of the page is disabled. You must configure the job input, output, and query before you can start the job. @@ -105,11 +111,13 @@ Now that Tweet events are streaming in real time from Twitter, we can set up a S * **EVENT HUB NAME**: Select the name of the event hub. * **EVENT HUB POLICY NAME**: Select the event hub policy that you created earlier in this tutorial. * **EVENT HUB CONSUMER GROUP**: Type the name of the consumer group that you created earlier in this tutorial. + 5. Click the right button. 6. Specify the following values: * **EVENT SERIALIZER FORMAT**: JSON * **ENCODING**: UTF8 + 7. Click the **CHECK** button to add this source and to verify that Stream Analytics can successfully connect to the event hub. ### Specify job query @@ -128,9 +136,10 @@ To start, we will do a simple pass-through query that projects all the fields in 1. Click **QUERY** at the top of the Stream Analytics job page. 2. In the code editor, replace the initial query template with the following: - SELECT * FROM TwitterStream + `SELECT * FROM TwitterStream` Make sure that the name of the input source matches the name of the input that you specified earlier. + 3. Click **Test** under the query editor. 4. Go to your sample .json file. 5. Click the **CHECK** button, and see the results below the query definition. @@ -142,23 +151,30 @@ To compare the number of mentions among topics, we'll use a [TumblingWindow](htt 1. Change the query in the code editor to: +``` SELECT System.Timestamp as Time, Topic, COUNT(*) FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY TUMBLINGWINDOW(s, 5), Topic +``` This query uses the **TIMESTAMP BY** keyword to specify a timestamp field in the payload to be used in the temporal computation. If this field wasn't specified, the windowing operation would be performed by using the time that each event arrived at the event hub. Learn more in the "Arrival Time Vs Application Time" section of [Stream Analytics Query Reference](https://msdn.microsoft.com/library/azure/dn834998.aspx). This query also accesses a timestamp for the end of each window by using the **System.Timestamp** property. + 2. Click **Rerun** under the query editor to see the results of the query. #### Identify trending topics: Sliding window To identify trending topics, we'll look for topics that cross a threshold value for mentions in a given amount of time. For the purposes of this tutorial, we'll check for topics that are mentioned more than 20 times in the last five seconds by using a [SlidingWindow](https://msdn.microsoft.com/library/azure/dn835051.aspx). 1. Change the query in the code editor to: + +``` SELECT System.Timestamp as Time, Topic, COUNT(*) as Mentions FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY SLIDINGWINDOW(s, 5), topic HAVING COUNT(*) > 20 +``` + 2. Click **Rerun** under the query editor to see the results of the query. ![Sliding Window query output](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-query-output.png) @@ -168,10 +184,13 @@ The final query that we will test uses **TumblingWindow** to get the number of m 1. Change the query in the code editor to: +``` SELECT System.Timestamp as Time, Topic, COUNT(*), AVG(SentimentScore), MIN(SentimentScore), Max(SentimentScore), STDEV(SentimentScore) FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY TUMBLINGWINDOW(s, 5), Topic +``` + 2. Click **Rerun** under the query editor to see the results of the query. 3. This is the query that we will use for our dashboard. Click **SAVE** at the bottom of the page. From e0f1fa1f3ea774c522875d0a007ff122376bf9c1 Mon Sep 17 00:00:00 2001 From: Jeff Stokes Date: Fri, 3 Feb 2017 11:30:00 -0500 Subject: [PATCH 50/90] Revert "sa-weird-code-block-issue" This reverts commit 37e4700e51f8f606fe28c5ba72356eb9b8d9b78b. --- ...ytics-twitter-sentiment-analysis-trends.md | 27 +++---------------- 1 file changed, 4 insertions(+), 23 deletions(-) diff --git a/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md b/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md index 1e557633e5934..fbbbf75098f71 100644 --- a/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md +++ b/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md @@ -14,10 +14,10 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: big-data -ms.date: 02/03/2017 +ms.date: 01/24/2017 ms.author: jeffstok ---- +--- # Social media analysis: Real-time Twitter sentiment analysis in Azure Stream Analytics Learn how to build a sentiment analysis solution for social media analytics by bringing real-time Twitter events into Azure Event Hubs. You'll write an Azure Stream Analytics query to analyze the data. You'll then either store the results for later perusal or use a dashboard and [Power BI](https://powerbi.com/) to provide insights in real time. @@ -42,7 +42,6 @@ Use the following steps to create an event hub. 4. Under **SHARED ACCESS POLICIES**, create a new policy with **MANAGE** permissions. ![Shared Access Policies where you can create a policy with Manage permissions.](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-ananlytics-shared-access-policies.png) - 5. Click **SAVE** at the bottom of the page. 6. Go to the **DASHBOARD**, click **CONNECTION INFORMATION** at the bottom of the page, and then copy and save the connection information. (Use the copy icon that appears under the search icon.) @@ -63,20 +62,16 @@ Follow these steps to set up the application: [Steps to generate an OAuth access token](https://dev.twitter.com/oauth/overview/application-owner-access-tokens) Note that you will need to make an empty application to generate a token. - 3. Replace the EventHubConnectionString and EventHubName values in TwitterClient.exe.config with the connection string and name of your event hub. The connection string that you copied earlier gives you both the connection string and the name of your event hub, so be sure to separate them and put each in the correct field. For example, consider the following connection string: -` Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey;EntityPath=yourhub` + Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey;EntityPath=yourhub The TwitterClient.exe.config file should contain your settings as in the following example: -``` add key="EventHubConnectionString" value="Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey" add key="EventHubName" value="yourhub" -``` It is important to note that the text "EntityPath=" does **not** appear in the EventHubName value. - 4. *Optional:* Adjust the keywords to search for. As a default, this application looks for "Azure,Skype,XBox,Microsoft,Seattle". You can adjust the values for **twitter_keywords** in TwitterClient.exe.config, if desired. 5. Run TwitterClient.exe to start your application. You will see Tweet events with the **CreatedAt**, **Topic**, and **SentimentScore** values being sent to your event hub. @@ -93,7 +88,6 @@ Now that Tweet events are streaming in real time from Twitter, we can set up a S * **REGION**: Select the region where you want to run the job. Consider placing the job and the event hub in the same region to ensure better performance and to ensure that you will not be paying to transfer data between regions. * **STORAGE ACCOUNT**: Choose the Azure storage account that you would like to use to store monitoring data for all Stream Analytics jobs that run within this region. You have the option to choose an existing storage account or to create a new one. 3. Click **STREAM ANALYTICS** in the left pane to list the Stream Analytics jobs. - ![Stream Analytics service icon](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-service-icon.png) The new job will be shown with a status of **CREATED**. Notice that the **START** button on the bottom of the page is disabled. You must configure the job input, output, and query before you can start the job. @@ -111,13 +105,11 @@ Now that Tweet events are streaming in real time from Twitter, we can set up a S * **EVENT HUB NAME**: Select the name of the event hub. * **EVENT HUB POLICY NAME**: Select the event hub policy that you created earlier in this tutorial. * **EVENT HUB CONSUMER GROUP**: Type the name of the consumer group that you created earlier in this tutorial. - 5. Click the right button. 6. Specify the following values: * **EVENT SERIALIZER FORMAT**: JSON * **ENCODING**: UTF8 - 7. Click the **CHECK** button to add this source and to verify that Stream Analytics can successfully connect to the event hub. ### Specify job query @@ -136,10 +128,9 @@ To start, we will do a simple pass-through query that projects all the fields in 1. Click **QUERY** at the top of the Stream Analytics job page. 2. In the code editor, replace the initial query template with the following: - `SELECT * FROM TwitterStream` + SELECT * FROM TwitterStream Make sure that the name of the input source matches the name of the input that you specified earlier. - 3. Click **Test** under the query editor. 4. Go to your sample .json file. 5. Click the **CHECK** button, and see the results below the query definition. @@ -151,30 +142,23 @@ To compare the number of mentions among topics, we'll use a [TumblingWindow](htt 1. Change the query in the code editor to: -``` SELECT System.Timestamp as Time, Topic, COUNT(*) FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY TUMBLINGWINDOW(s, 5), Topic -``` This query uses the **TIMESTAMP BY** keyword to specify a timestamp field in the payload to be used in the temporal computation. If this field wasn't specified, the windowing operation would be performed by using the time that each event arrived at the event hub. Learn more in the "Arrival Time Vs Application Time" section of [Stream Analytics Query Reference](https://msdn.microsoft.com/library/azure/dn834998.aspx). This query also accesses a timestamp for the end of each window by using the **System.Timestamp** property. - 2. Click **Rerun** under the query editor to see the results of the query. #### Identify trending topics: Sliding window To identify trending topics, we'll look for topics that cross a threshold value for mentions in a given amount of time. For the purposes of this tutorial, we'll check for topics that are mentioned more than 20 times in the last five seconds by using a [SlidingWindow](https://msdn.microsoft.com/library/azure/dn835051.aspx). 1. Change the query in the code editor to: - -``` SELECT System.Timestamp as Time, Topic, COUNT(*) as Mentions FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY SLIDINGWINDOW(s, 5), topic HAVING COUNT(*) > 20 -``` - 2. Click **Rerun** under the query editor to see the results of the query. ![Sliding Window query output](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-query-output.png) @@ -184,13 +168,10 @@ The final query that we will test uses **TumblingWindow** to get the number of m 1. Change the query in the code editor to: -``` SELECT System.Timestamp as Time, Topic, COUNT(*), AVG(SentimentScore), MIN(SentimentScore), Max(SentimentScore), STDEV(SentimentScore) FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY TUMBLINGWINDOW(s, 5), Topic -``` - 2. Click **Rerun** under the query editor to see the results of the query. 3. This is the query that we will use for our dashboard. Click **SAVE** at the bottom of the page. From 43f5f40f10518e1d3bf003ecbe2aa16d83d85934 Mon Sep 17 00:00:00 2001 From: Jeff Stokes Date: Fri, 3 Feb 2017 11:31:59 -0500 Subject: [PATCH 51/90] sa-pbi --- ...ytics-twitter-sentiment-analysis-trends.md | 27 ++++++++++++++++--- 1 file changed, 23 insertions(+), 4 deletions(-) diff --git a/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md b/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md index fbbbf75098f71..1e557633e5934 100644 --- a/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md +++ b/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md @@ -14,10 +14,10 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: big-data -ms.date: 01/24/2017 +ms.date: 02/03/2017 ms.author: jeffstok - --- + # Social media analysis: Real-time Twitter sentiment analysis in Azure Stream Analytics Learn how to build a sentiment analysis solution for social media analytics by bringing real-time Twitter events into Azure Event Hubs. You'll write an Azure Stream Analytics query to analyze the data. You'll then either store the results for later perusal or use a dashboard and [Power BI](https://powerbi.com/) to provide insights in real time. @@ -42,6 +42,7 @@ Use the following steps to create an event hub. 4. Under **SHARED ACCESS POLICIES**, create a new policy with **MANAGE** permissions. ![Shared Access Policies where you can create a policy with Manage permissions.](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-ananlytics-shared-access-policies.png) + 5. Click **SAVE** at the bottom of the page. 6. Go to the **DASHBOARD**, click **CONNECTION INFORMATION** at the bottom of the page, and then copy and save the connection information. (Use the copy icon that appears under the search icon.) @@ -62,16 +63,20 @@ Follow these steps to set up the application: [Steps to generate an OAuth access token](https://dev.twitter.com/oauth/overview/application-owner-access-tokens) Note that you will need to make an empty application to generate a token. + 3. Replace the EventHubConnectionString and EventHubName values in TwitterClient.exe.config with the connection string and name of your event hub. The connection string that you copied earlier gives you both the connection string and the name of your event hub, so be sure to separate them and put each in the correct field. For example, consider the following connection string: - Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey;EntityPath=yourhub +` Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey;EntityPath=yourhub` The TwitterClient.exe.config file should contain your settings as in the following example: +``` add key="EventHubConnectionString" value="Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey" add key="EventHubName" value="yourhub" +``` It is important to note that the text "EntityPath=" does **not** appear in the EventHubName value. + 4. *Optional:* Adjust the keywords to search for. As a default, this application looks for "Azure,Skype,XBox,Microsoft,Seattle". You can adjust the values for **twitter_keywords** in TwitterClient.exe.config, if desired. 5. Run TwitterClient.exe to start your application. You will see Tweet events with the **CreatedAt**, **Topic**, and **SentimentScore** values being sent to your event hub. @@ -88,6 +93,7 @@ Now that Tweet events are streaming in real time from Twitter, we can set up a S * **REGION**: Select the region where you want to run the job. Consider placing the job and the event hub in the same region to ensure better performance and to ensure that you will not be paying to transfer data between regions. * **STORAGE ACCOUNT**: Choose the Azure storage account that you would like to use to store monitoring data for all Stream Analytics jobs that run within this region. You have the option to choose an existing storage account or to create a new one. 3. Click **STREAM ANALYTICS** in the left pane to list the Stream Analytics jobs. + ![Stream Analytics service icon](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-service-icon.png) The new job will be shown with a status of **CREATED**. Notice that the **START** button on the bottom of the page is disabled. You must configure the job input, output, and query before you can start the job. @@ -105,11 +111,13 @@ Now that Tweet events are streaming in real time from Twitter, we can set up a S * **EVENT HUB NAME**: Select the name of the event hub. * **EVENT HUB POLICY NAME**: Select the event hub policy that you created earlier in this tutorial. * **EVENT HUB CONSUMER GROUP**: Type the name of the consumer group that you created earlier in this tutorial. + 5. Click the right button. 6. Specify the following values: * **EVENT SERIALIZER FORMAT**: JSON * **ENCODING**: UTF8 + 7. Click the **CHECK** button to add this source and to verify that Stream Analytics can successfully connect to the event hub. ### Specify job query @@ -128,9 +136,10 @@ To start, we will do a simple pass-through query that projects all the fields in 1. Click **QUERY** at the top of the Stream Analytics job page. 2. In the code editor, replace the initial query template with the following: - SELECT * FROM TwitterStream + `SELECT * FROM TwitterStream` Make sure that the name of the input source matches the name of the input that you specified earlier. + 3. Click **Test** under the query editor. 4. Go to your sample .json file. 5. Click the **CHECK** button, and see the results below the query definition. @@ -142,23 +151,30 @@ To compare the number of mentions among topics, we'll use a [TumblingWindow](htt 1. Change the query in the code editor to: +``` SELECT System.Timestamp as Time, Topic, COUNT(*) FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY TUMBLINGWINDOW(s, 5), Topic +``` This query uses the **TIMESTAMP BY** keyword to specify a timestamp field in the payload to be used in the temporal computation. If this field wasn't specified, the windowing operation would be performed by using the time that each event arrived at the event hub. Learn more in the "Arrival Time Vs Application Time" section of [Stream Analytics Query Reference](https://msdn.microsoft.com/library/azure/dn834998.aspx). This query also accesses a timestamp for the end of each window by using the **System.Timestamp** property. + 2. Click **Rerun** under the query editor to see the results of the query. #### Identify trending topics: Sliding window To identify trending topics, we'll look for topics that cross a threshold value for mentions in a given amount of time. For the purposes of this tutorial, we'll check for topics that are mentioned more than 20 times in the last five seconds by using a [SlidingWindow](https://msdn.microsoft.com/library/azure/dn835051.aspx). 1. Change the query in the code editor to: + +``` SELECT System.Timestamp as Time, Topic, COUNT(*) as Mentions FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY SLIDINGWINDOW(s, 5), topic HAVING COUNT(*) > 20 +``` + 2. Click **Rerun** under the query editor to see the results of the query. ![Sliding Window query output](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-query-output.png) @@ -168,10 +184,13 @@ The final query that we will test uses **TumblingWindow** to get the number of m 1. Change the query in the code editor to: +``` SELECT System.Timestamp as Time, Topic, COUNT(*), AVG(SentimentScore), MIN(SentimentScore), Max(SentimentScore), STDEV(SentimentScore) FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY TUMBLINGWINDOW(s, 5), Topic +``` + 2. Click **Rerun** under the query editor to see the results of the query. 3. This is the query that we will use for our dashboard. Click **SAVE** at the bottom of the page. From c181667088ec54909a48b8afb133860e4a851981 Mon Sep 17 00:00:00 2001 From: Cheryl McGuire Date: Fri, 3 Feb 2017 09:44:15 -0800 Subject: [PATCH 52/90] update freshness --- articles/expressroute/expressroute-faqs.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/expressroute/expressroute-faqs.md b/articles/expressroute/expressroute-faqs.md index aede8e31833f1..bf49b3202e180 100644 --- a/articles/expressroute/expressroute-faqs.md +++ b/articles/expressroute/expressroute-faqs.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: infrastructure-services -ms.date: 11/21/2016 +ms.date: 02/01/2017 ms.author: cherylmc --- @@ -213,7 +213,7 @@ Yes. ExpressRoute premium charges apply on top of ExpressRoute circuit charges a [!INCLUDE [expressroute-office365-include](../../includes/expressroute-office365-include.md)] ### How do I create an ExpressRoute circuit to connect to Office 365 services and CRM Online? -1. Review the [ExpressRoute prerequisites page](expressroute-prerequisites.md) page to make sure you meet the requirements. +1. Review the [ExpressRoute prerequisites page](expressroute-prerequisites.md) to make sure you meet the requirements. 2. Review the list of service providers and locations at [ExpressRoute partners and locations](expressroute-locations.md) to ensure that your connectivity needs are met. 3. Plan your capacity requirements by reviewing [Network planning and performance tuning for Office 365](http://aka.ms/tune/). 4. Follow the steps listed in the workflows below to set up connectivity [ExpressRoute workflows for circuit provisioning and circuit states](expressroute-workflows.md). From a0bee51262d9fe52c109c094241a734878487625 Mon Sep 17 00:00:00 2001 From: Markus Vilcinskas Date: Fri, 3 Feb 2017 18:44:16 +0100 Subject: [PATCH 53/90] toc --- articles/active-directory/TOC.md | 34 +++++++++++++++----------------- 1 file changed, 16 insertions(+), 18 deletions(-) diff --git a/articles/active-directory/TOC.md b/articles/active-directory/TOC.md index 9f85c1b2b81bb..1087830638a4f 100644 --- a/articles/active-directory/TOC.md +++ b/articles/active-directory/TOC.md @@ -99,20 +99,6 @@ ### [Register your device](active-directory-azureadjoin-personal-device.md) ### [Register a Windows 10 device](active-directory-azureadjoin-user-upgrade.md) -### [Conditional access](active-directory-conditional-access.md) -#### [Get started](active-directory-conditional-access-azuread-connected-apps.md) -#### [Supported apps](active-directory-conditional-access-supported-apps.md) -#### [Register devices](active-directory-conditional-access-device-registration-overview.md) -#### [Manage automatic registration](active-directory-conditional-access-automatic-device-registration.md) -##### [Setup](active-directory-conditional-access-automatic-device-registration-setup.md) -#### [Manage Authenticator app](active-directory-conditional-access-azure-authenticator-app.md) -#### [Understand device policies](active-directory-conditional-access-device-policies.md) -#### [Set up access to connected apps](active-directory-conditional-access-policy-connected-applications.md) -#### [Deploy on-premises](active-directory-conditional-access-on-premises-setup.md) -#### [FAQs](active-directory-conditional-faqs.md) -#### [Troubleshoot](active-directory-conditional-access-device-remediation.md) -#### [Reference](active-directory-conditional-access-technical-reference.md) - ### [Azure AD Join](active-directory-azureadjoin-overview.md) #### [Plan](active-directory-azureadjoin-deployment-aadjoindirect.md) #### [Set up device registration](active-directory-azureadjoin-setup.md) @@ -127,10 +113,6 @@ ##### [Troubleshooting for Windows 10 and Windows Server 2016](active-directory-conditional-access-automatic-device-registration-troubleshoot-windows.md) ##### [Troubleshooting for Windows down-level clients](active-directory-conditional-access-automatic-device-registration-troubleshoot-windows-legacy.md) -### Certificate-based Authentication -#### [Android](active-directory-certificate-based-authentication-android.md) -#### [iOS](active-directory-certificate-based-authentication-ios.md) - ## Manage apps ### [Overview](active-directory-enable-sso-scenario.md) ### [Getting started](active-directory-integrating-applications-getting-started.md) @@ -240,6 +222,22 @@ ### [Configure token lifetimes](active-directory-configurable-token-lifetimes.md) ## Secure your identities +### [Conditional access](active-directory-conditional-access.md) +#### [Get started](active-directory-conditional-access-azuread-connected-apps.md) +#### [Supported apps](active-directory-conditional-access-supported-apps.md) +#### [Register devices](active-directory-conditional-access-device-registration-overview.md) +#### [Manage automatic registration](active-directory-conditional-access-automatic-device-registration.md) +##### [Setup](active-directory-conditional-access-automatic-device-registration-setup.md) +#### [Manage Authenticator app](active-directory-conditional-access-azure-authenticator-app.md) +#### [Understand device policies](active-directory-conditional-access-device-policies.md) +#### [Set up access to connected apps](active-directory-conditional-access-policy-connected-applications.md) +#### [Deploy on-premises](active-directory-conditional-access-on-premises-setup.md) +#### [FAQs](active-directory-conditional-faqs.md) +#### [Troubleshoot](active-directory-conditional-access-device-remediation.md) +#### [Reference](active-directory-conditional-access-technical-reference.md) +### Certificate-based Authentication +#### [Android](active-directory-certificate-based-authentication-android.md) +#### [iOS](active-directory-certificate-based-authentication-ios.md) ### [Azure AD Identity Protection](active-directory-identityprotection.md) #### [Enable](active-directory-identityprotection-enable.md) #### [Detect vulnerabilities](active-directory-identityprotection-vulnerabilities.md) From 6e8b6b587ac15bdedd091e3423db824bb58bec30 Mon Sep 17 00:00:00 2001 From: ArnoMicrosoft Date: Fri, 3 Feb 2017 09:47:03 -0800 Subject: [PATCH 54/90] Update documentdb-key-value-store-cost.md --- articles/documentdb/documentdb-key-value-store-cost.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/documentdb/documentdb-key-value-store-cost.md b/articles/documentdb/documentdb-key-value-store-cost.md index 3749a4ff3072e..c54e4caa09ba6 100644 --- a/articles/documentdb/documentdb-key-value-store-cost.md +++ b/articles/documentdb/documentdb-key-value-store-cost.md @@ -54,7 +54,7 @@ If you provision 1,000 RU/sec, this amounts to 3.6m RU/hour and will cost $0.08 |50 KB|$1.111|$5.556| |100 KB|$2.222|$11.111| -Most of the basic blob or object stores like AWS S3 or Azure Blob Storage services charge $0.40 per million read transaction and $5 per million write transaction. If used optimally, DocumentDB can be up to 98% cheaper than these other solutions (for 1KB transactions). +Most of the basic blob or object stores services charge $0.40 per million read transaction and $5 per million write transaction. If used optimally, DocumentDB can be up to 98% cheaper than these other solutions (for 1KB transactions). ## Next steps From 899fbfb63633286a1065546b1f262cbc1d7d39c4 Mon Sep 17 00:00:00 2001 From: Cheryl McGuire Date: Fri, 3 Feb 2017 09:53:18 -0800 Subject: [PATCH 55/90] update spacing --- articles/expressroute/expressroute-faqs.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/articles/expressroute/expressroute-faqs.md b/articles/expressroute/expressroute-faqs.md index bf49b3202e180..6d65e47672055 100644 --- a/articles/expressroute/expressroute-faqs.md +++ b/articles/expressroute/expressroute-faqs.md @@ -19,7 +19,7 @@ ms.author: cherylmc --- # ExpressRoute FAQ ## What is ExpressRoute? -ExpressRoute is an Azure service that lets you create private connections between Microsoft datacenters and infrastructure that’s on your premises or in a colocation facility. ExpressRoute connections do not go over the public Internet, and offer higher security, reliability and speeds with lower latencies than typical connections over the Internet. +ExpressRoute is an Azure service that lets you create private connections between Microsoft datacenters and infrastructure that’s on your premises or in a colocation facility. ExpressRoute connections do not go over the public Internet, and offer higher security, reliability, and speeds with lower latencies than typical connections over the Internet. ### What are the benefits of using ExpressRoute and private network connections? ExpressRoute connections do not go over the public Internet, and offer higher security, reliability, and speeds with lower and consistent latencies than typical connections over the Internet. In some cases, using ExpressRoute connections to transfer data between on-premises devices and Azure can yield significant cost benefits. @@ -43,7 +43,7 @@ No. You can purchase a VPN connection of any speed from your service provider. H Yes. ExpressRoute circuits are configured to support cases where you can burst up to two times the bandwidth limit you procured for no additional cost. Check with your service provider if they support this capability. ### Can I use the same private network connection with Virtual Network and other Azure services simultaneously? -Yes. An ExpressRoute circuit, once setup will allow you to access services within a virtual network and other Azure services simultaneously. You will connect to virtual networks over the private peering path and other services over the public peering path. +Yes. An ExpressRoute circuit, once set up, will allow you to access services within a virtual network and other Azure services simultaneously. You will connect to virtual networks over the private peering path, and to other services over the public peering path. ### Does ExpressRoute offer a Service Level Agreement (SLA)? Please refer to the [ExpressRoute SLA page](https://azure.microsoft.com/support/legal/sla/) for more information. @@ -96,7 +96,7 @@ Yes. Each Express Route circuit has a redundant pair of cross connections config You will not lose connectivity if one of the cross connections fails. A redundant connection is available to support the load of your network. You can additionally create multiple circuits in a different peering location to achieve failure resilience. ### If I'm not co-located at a cloud exchange and my service provider offers point-to-point connection, do I need to order two physical connections between my on-premises network and Microsoft? -No, you only need one physical connection if your service provider can establish two Ethernet virtual circuits over the physical connection. The physical connection (e.g. an optical fiber) is terminated on a layer 1 (L1) device (see image below). The two Ethernet virtual circuits are tagged with different VLAN IDs, one for the primary circuit and one for the secondary. Those VLAN IDs are in the outer 802.1Q Ethernet header. The inner 802.1Q Ethernet header (not shown) is mapped to a specific [ExpressRoute routing domain](expressroute-circuit-peerings.md). +No, you only need one physical connection if your service provider can establish two Ethernet virtual circuits over the physical connection. The physical connection (for example, an optical fiber) is terminated on a layer 1 (L1) device (see image below). The two Ethernet virtual circuits are tagged with different VLAN IDs, one for the primary circuit and one for the secondary. Those VLAN IDs are in the outer 802.1Q Ethernet header. The inner 802.1Q Ethernet header (not shown) is mapped to a specific [ExpressRoute routing domain](expressroute-circuit-peerings.md). ![](./media/expressroute-faqs/expressroute-p2p-ref-arch.png) From 2a51e12d16795204b2ec68d66755b020ab6a6490 Mon Sep 17 00:00:00 2001 From: Carl Rabeler Date: Fri, 3 Feb 2017 10:12:41 -0800 Subject: [PATCH 56/90] Update sql-database-automated-backups.md --- articles/sql-database/sql-database-automated-backups.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/sql-database/sql-database-automated-backups.md b/articles/sql-database/sql-database-automated-backups.md index 944ac2f33d554..1501531e37c2c 100644 --- a/articles/sql-database/sql-database-automated-backups.md +++ b/articles/sql-database/sql-database-automated-backups.md @@ -75,7 +75,7 @@ If you delete a database, SQL Database keeps the backups in the same way it woul ## How to extend the backup retention period? If your application requires that the backups are available for longer period of time you can extend the built-in retention period by configuring the Long-term backup retention policy for individual databases (LTR policy). This allows you to extend the built-it retention period from 35 days to up to 10 years. For more information, see [Long-term retention](sql-database-long-term-retention.md). -Once you add the LTR policy to a database using Azure portal or API, the weekly full database backups will be automatically copied to your own Azure Backup Service Vault. If your database is encrypted with TDE the backups are automatically encrypted at rest. The Services Vault will automatically delete your expired backups based on their timestamp and the LTR policy. So you don�t need to manage the backup schedule or worry about the cleanup of the old files. +Once you add the LTR policy to a database using Azure portal or API, the weekly full database backups will be automatically copied to your own Azure Backup Service Vault. If your database is encrypted with TDE the backups are automatically encrypted at rest. The Services Vault will automatically delete your expired backups based on their timestamp and the LTR policy. So you don't need to manage the backup schedule or worry about the cleanup of the old files. The restore API supports backups stored in the vault as long as the vault is in the same subscription as your SQL database. You can use the Aure portal or PowerShell to access these backups. > [!TIP] From 4d442f04bec247c3927706c589486bed93b95b41 Mon Sep 17 00:00:00 2001 From: Carl Rabeler Date: Fri, 3 Feb 2017 10:14:45 -0800 Subject: [PATCH 57/90] Update sql-database-disaster-recovery-drills.md --- articles/sql-database/sql-database-disaster-recovery-drills.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/sql-database/sql-database-disaster-recovery-drills.md b/articles/sql-database/sql-database-disaster-recovery-drills.md index 4093e99b77cf4..a1bd69760feab 100644 --- a/articles/sql-database/sql-database-disaster-recovery-drills.md +++ b/articles/sql-database/sql-database-disaster-recovery-drills.md @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: data-management ms.date: 07/31/2016 -ms.author: s sashan +ms.author: sashan --- # Performing Disaster Recovery Drill From bee6dbf8910534b07a77e7fd7dd84edf07cf3dd5 Mon Sep 17 00:00:00 2001 From: Carl Rabeler Date: Fri, 3 Feb 2017 10:28:20 -0800 Subject: [PATCH 58/90] Update sql-database-elastic-query-getting-started.md --- .../sql-database-elastic-query-getting-started.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/articles/sql-database/sql-database-elastic-query-getting-started.md b/articles/sql-database/sql-database-elastic-query-getting-started.md index af6231fb6b39a..eebd26f8fc638 100644 --- a/articles/sql-database/sql-database-elastic-query-getting-started.md +++ b/articles/sql-database/sql-database-elastic-query-getting-started.md @@ -48,7 +48,9 @@ Here you will create a shard map manager along with several shards, followed by ![Azure portal and pricing tier][3] - Note: you can use an existing database. If you can do so, it must not be one of the shards that you would like to execute your queries on. This database will be used for creating the metadata objects for an elastic database query. + > [!NOTE] + > you can use an existing database. If you can do so, it must not be one of the shards that you would like to execute your queries on. This database will be used for creating the metadata objects for an elastic database query. + > ## Create database objects ### Database-scoped master key and credentials From 9edcdb4c9d1f6cc5767cd94dc1ee980861d92fb2 Mon Sep 17 00:00:00 2001 From: Seth Manheim Date: Fri, 3 Feb 2017 10:44:22 -0800 Subject: [PATCH 59/90] Redirecting until we can update this article --- ...service-bus-powershell-how-to-provision.md | 193 +----------------- 1 file changed, 2 insertions(+), 191 deletions(-) diff --git a/articles/service-bus-messaging/service-bus-powershell-how-to-provision.md b/articles/service-bus-messaging/service-bus-powershell-how-to-provision.md index e45c06d103c98..5e5d23e25b948 100644 --- a/articles/service-bus-messaging/service-bus-powershell-how-to-provision.md +++ b/articles/service-bus-messaging/service-bus-powershell-how-to-provision.md @@ -1,192 +1,3 @@ --- -title: Manage Azure Service Bus with PowerShell | Microsoft Docs -description: Manage Service Bus with PowerShell scripts -services: service-bus-messaging -documentationcenter: .net -author: sethmanheim -manager: timlt -editor: '' - -ms.assetid: aff8e2ce-bc8b-489f-aca9-a18782be0375 -ms.service: service-bus-messaging -ms.workload: na -ms.tgt_pltfrm: na -ms.devlang: na -ms.topic: article -ms.date: 01/12/2017 -ms.author: sethm - ---- -# Manage Service Bus with PowerShell -## Overview -Microsoft Azure PowerShell is a scripting environment that you can use to control and automate the deployment and management of your workloads in Azure. This article describes how to use PowerShell to provision and manage Service Bus entities such as namespaces, queues, and Event Hubs using a local Azure PowerShell console. - -## Prerequisites -Before you begin this article, you must have the following prerequisites: - -* An Azure subscription. Azure is a subscription-based platform. For more - information about obtaining a subscription, see [Purchase Options][Purchase Options], - [Member Offers][Member Offers], or [Free Trial][Free Trial]. -* A computer with Azure PowerShell. For instructions, see [Install and configure Azure PowerShell][Install and configure Azure PowerShell]. -* A general understanding of PowerShell scripts, NuGet packages, and the .NET Framework. - -## Including a reference to the .NET assembly for Service Bus -There are a limited number of PowerShell cmdlets available for managing Service Bus. To provision -entities that are not exposed through the existing cmdlets, you can use the .NET client for -Service Bus in the [Service Bus NuGet package][Service Bus NuGet package]. - -First, make sure that the script can locate the **Microsoft.ServiceBus.dll** assembly, which is installed with the NuGet package. In order to be flexible, the script performs these steps: - -1. Determines the path at which it was invoked. -2. Traverses the path until it finds a folder named `packages`. This folder is created when you install NuGet packages. -3. Recursively searches the `packages` folder for an assembly named **Microsoft.ServiceBus.dll**. -4. References the assembly so that the types are available for later use. - -Here's how these steps are implemented in a PowerShell script: - -```powershell -try -{ - # WARNING: Make sure to reference the latest version of Microsoft.ServiceBus.dll - Write-Host "Adding the [Microsoft.ServiceBus.dll] assembly to the script..." - $scriptPath = Split-Path (Get-Variable MyInvocation -Scope 0).Value.MyCommand.Path - $packagesFolder = (Split-Path $scriptPath -Parent) + "\packages" - $assembly = Get-ChildItem $packagesFolder -Include "Microsoft.ServiceBus.dll" -Recurse - Add-Type -Path $assembly.FullName - - Write-Host "The [Microsoft.ServiceBus.dll] assembly has been successfully added to the script." -} - -catch [System.Exception] -{ - Write-Error "Could not add the Microsoft.ServiceBus.dll assembly to the script. Make sure you build the solution before running the provisioning script." -} -``` - -## Provision a Service Bus namespace -Two PowerShell cmdlets support Service Bus namespace operations. Instead of the .NET SDK APIs, you can use [Get-AzureSBNamespace][Get-AzureSBNamespace] and [New-AzureSBNamespace][New-AzureSBNamespace]. - -This example creates a few local variables in the script; `$Namespace` and `$Location`. - -* `$Namespace` is the name of the Service Bus namespace with which we want to work. -* `$Location` identifies the data center in which the script provisions the namespace. -* `$CurrentNamespace` stores the reference namespace that the script retrieves (or creates). - -In an actual script, `$Namespace` and `$Location` can be passed as parameters. - -This part of the script performs the following tasks: - -1. Attempts to retrieve a Service Bus namespace with the provided name. -2. If the namespace is found, it reports what was found. -3. If the namespace is not found, it creates the namespace and then retrieves the newly created namespace. - - ```powershell - $Namespace = "MyServiceBusNS" - $Location = "West US" - - # Query to see if the namespace currently exists - $CurrentNamespace = Get-AzureSBNamespace -Name $Namespace - - # Check if the namespace already exists or needs to be created - if ($CurrentNamespace) - { - Write-Host "The namespace [$Namespace] already exists in the [$($CurrentNamespace.Region)] region." - } - else - { - Write-Host "The [$Namespace] namespace does not exist." - Write-Host "Creating the [$Namespace] namespace in the [$Location] region..." - New-AzureSBNamespace -Name $Namespace -Location $Location -CreateACSNamespace $false -NamespaceType Messaging - $CurrentNamespace = Get-AzureSBNamespace -Name $Namespace - Write-Host "The [$Namespace] namespace in the [$Location] region has been successfully created." - } - ``` - -To provision other Service Bus entities, create an instance of the [NamespaceManager][NamespaceManager] class from the SDK. -You can use the [Get-AzureSBAuthorizationRule][Get-AzureSBAuthorizationRule] cmdlet to retrieve an authorization rule that's used to provide a connection string. We'll store a reference to the `NamespaceManager` instance in the `$NamespaceManager` variable. We will use `$NamespaceManager` later in the script to provision other entities. - -```powershell -$sbr = Get-AzureSBAuthorizationRule -Namespace $Namespace -# Create the NamespaceManager object to create the event hub -Write-Host "Creating a NamespaceManager object for the [$Namespace] namespace..." -$NamespaceManager = [Microsoft.ServiceBus.NamespaceManager]::CreateFromConnectionString($sbr.ConnectionString); -Write-Host "NamespaceManager object for the [$Namespace] namespace has been successfully created." -``` - -## Provisioning other Service Bus entities -In order to provision other entities, such as queues, topics, and Event Hubs, use the [.NET API for Service Bus][.NET API for Service Bus]. This article focuses only on Event Hubs, but the steps for other entities are similar. In addition, more detailed examples, including other entities, are referenced at the end of this article. - -This part of the script creates four more local variables. These variables are used to instantiate an `EventHubDescription` object. The script performs the following tasks: - -1. Using the `NamespaceManager` object, check to see if the Event Hub identified by `$Path` exists. -2. If it does not exist, create an `EventHubDescription` and pass that to the `NamespaceManager` class `CreateEventHubIfNotExists` method. -3. After determining that the Event Hub is available, create a consumer group using `ConsumerGroupDescription` and `NamespaceManager`. - - ```powershell - $Path = "MyEventHub" - $PartitionCount = 12 - $MessageRetentionInDays = 7 - $UserMetadata = $null - $ConsumerGroupName = "MyConsumerGroup" - - # Check to see if the Event Hub already exists - if ($NamespaceManager.EventHubExists($Path)) - { - Write-Host "The [$Path] event hub already exists in the [$Namespace] namespace." - } - else - { - Write-Host "Creating the [$Path] event hub in the [$Namespace] namespace: PartitionCount=[$PartitionCount] MessageRetentionInDays=[$MessageRetentionInDays]..." - $EventHubDescription = New-Object -TypeName Microsoft.ServiceBus.Messaging.EventHubDescription -ArgumentList $Path - $EventHubDescription.PartitionCount = $PartitionCount - $EventHubDescription.MessageRetentionInDays = $MessageRetentionInDays - $EventHubDescription.UserMetadata = $UserMetadata - $EventHubDescription.Path = $Path - $NamespaceManager.CreateEventHubIfNotExists($EventHubDescription) - Write-Host "The [$Path] event hub in the [$Namespace] namespace has been successfully created." - } - - # Create the consumer group if it doesn't exist - Write-Host "Creating the consumer group [$ConsumerGroupName] for the [$Path] event hub..." - $ConsumerGroupDescription = New-Object -TypeName Microsoft.ServiceBus.Messaging.ConsumerGroupDescription -ArgumentList $Path, $ConsumerGroupName - $ConsumerGroupDescription.UserMetadata = $ConsumerGroupUserMetadata - $NamespaceManager.CreateConsumerGroupIfNotExists($ConsumerGroupDescription) - Write-Host "The consumer group [$ConsumerGroupName] for the [$Path] event hub has been successfully created." - ``` - -## Migrate a namespace to another Azure subscription -The following sequence of commands moves a namespace from one Azure subscription to another. To execute this operation, the namespace must already be active, and the user running the PowerShell commands must be an administrator on both the source and target subscriptions. - -```powershell -# Create a new resource group in target subscription -Select-AzureRmSubscription -SubscriptionId 'ffffffff-ffff-ffff-ffff-ffffffffffff' -New-AzureRmResourceGroup -Name 'targetRG' -Location 'East US' - -# Move namespace from source subscription to target subscription -Select-AzureRmSubscription -SubscriptionId 'aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa' -$res = Find-AzureRmResource -ResourceNameContains mynamespace -ResourceType 'Microsoft.ServiceBus/namespaces' -Move-AzureRmResource -DestinationResourceGroupName 'targetRG' -DestinationSubscriptionId 'ffffffff-ffff-ffff-ffff-ffffffffffff' -ResourceId $res.ResourceId -``` - -## Next steps -This article provided a basic outline for provisioning Service Bus entities using PowerShell. Anything that you can do using the .NET client libraries, you can also do in a PowerShell script. - -There are more detailed examples available on these blog posts: - -* [How to create Service Bus queues, topics and subscriptions using a PowerShell script](http://blogs.msdn.com/b/paolos/archive/2014/12/02/how-to-create-a-service-bus-queues-topics-and-subscriptions-using-a-powershell-script.aspx) -* [How to create a Service Bus Namespace and an Event Hub using a PowerShell script](http://blogs.msdn.com/b/paolos/archive/2014/12/01/how-to-create-a-service-bus-namespace-and-an-event-hub-using-a-powershell-script.aspx) - -Some ready-made scripts are also available for download: - -* [Service Bus PowerShell Scripts](https://code.msdn.microsoft.com/Service-Bus-PowerShell-a46b7059) - - -[Purchase Options]: http://azure.microsoft.com/pricing/purchase-options/ -[Member Offers]: http://azure.microsoft.com/pricing/member-offers/ -[Free Trial]: http://azure.microsoft.com/pricing/free-trial/ -[Install and configure Azure PowerShell]: /powershell/azureps-cmdlets-docs -[Service Bus NuGet package]: http://www.nuget.org/packages/WindowsAzure.ServiceBus/ -[Get-AzureSBNamespace]: https://docs.microsoft.com/powershell/servicemanagement/azure.compute/v1.6.1/Get-AzureSBNamespace -[New-AzureSBNamespace]: https://docs.microsoft.com/powershell/servicemanagement/azure.compute/v1.6.1/new-azuresbnamespace -[Get-AzureSBAuthorizationRule]: https://docs.microsoft.com/powershell/servicemanagement/azure.compute/v1.6.1/get-azuresbauthorizationrule -[NamespaceManager]: https://docs.microsoft.com/dotnet/api/microsoft.servicebus.namespacemanager +redirect_url: /powershell/azureps-cmdlets-docs +--- \ No newline at end of file From b6fb37cad5d93336a766f43ca435c7b25d1d97c4 Mon Sep 17 00:00:00 2001 From: Todd Abel Date: Fri, 3 Feb 2017 10:45:46 -0800 Subject: [PATCH 60/90] Fixed content issues --- .../service-fabric-diagnostics-overview.md | 86 +++++++++++-------- 1 file changed, 50 insertions(+), 36 deletions(-) diff --git a/articles/service-fabric/service-fabric-diagnostics-overview.md b/articles/service-fabric/service-fabric-diagnostics-overview.md index 8cb770131f6db..cd5d8b3c50533 100644 --- a/articles/service-fabric/service-fabric-diagnostics-overview.md +++ b/articles/service-fabric/service-fabric-diagnostics-overview.md @@ -13,7 +13,7 @@ ms.devlang: dotnet ms.topic: article ms.tgt_pltfrm: NA ms.workload: NA -ms.date: 01/10/2017 +ms.date: 02/3/2017 ms.author: toddabel --- @@ -28,10 +28,12 @@ Monitoring is a broad term that encompasses instrumenting the code, collecting t While there are some products that cover all three aspects, many customers choose different technologies for each area. It is important that each plugs together to deliver an end to end monitoring solution for the application. -# Monitoring infrastructure +## Monitoring infrastructure + While Service Fabric helps to keep an application running even during infrastructure failures, the application operators need to understand if an error is occurring within their application or is due to a fault in the underlying infrastructure. Monitoring of the infrastructure is also needed for capacity planning to know when to add or remove infrastructure. Both the infrastructure and the application that compose a Service Fabric deployment are important to monitor and troubleshoot, though as long as the application is available to customers, some of the infrastructure could be having issues. -## Azure Monitoring +### Azure Monitoring + For Azure deployed clusters, [Azure Monitoring](../monitoring-and-diagnostics/toc.md) gives the ability to monitor many of the Azure resources on which a Service Fabric cluster are built. A set of metrics is automatically collected and displayed in the Azure portal for the [Virtual Machine Scale Set (VMSS)](../monitoring-and-diagnostics/monitoring-supported-metrics.md#microsoftcomputevirtualmachinescalesets) and individual [VMs](../monitoring-and-diagnostics/monitoring-supported-metrics.md#microsoftcomputevirtualmachinescalesetsvirtualmachines). This information can be viewed in the Azure portal by selecting the resource group that the Service Fabric cluster is contained within and choosing the VMSS to view. Then choose Metrics within the Monitoring navigation section to view a graph of the values ![Azure portal view of collected metric information](./media/service-fabric-diagnostics-overview/azure-monitoring-metrics.png) @@ -40,21 +42,24 @@ The charts can be customized by following the instructions in the article [Overv [Operations Management Suite](https://www.microsoft.com/cloud-platform/operations-management-suite) is the recommended method for monitoring your on premise infrastructure, but any existing solution that your company uses for infrastructure monitoring can also be used. -## Service Fabric Support Logs +### Service Fabric Support Logs + If you should need to contact Microsoft support for help with your Azure Service Fabric Cluster, support logs are almost always required. If your cluster is hosted within Azure, these logs are automatically configured and collected as part of creating a cluster. The logs are stored in a dedicated storage account that can be seen in your cluster's resource group. There is no fixed name to the storage account, but within the account you'll see blob containers and tables starting with 'fabric'. If your cluster is a standalone cluster, you should configure collection of these logs following the guidance in [Create and manage a standalone Azure Service Fabric cluster](service-fabric-cluster-creation-for-windows-server.md) and [Configuration settings for standalone Windows cluster](service-fabric-cluster-manifest.md). For standalone Service Fabric, the logs should be sent to a local file share. You are **required** to have these logs for support, but they are not intended to use usable by anyone outside of the Microsoft customer support team. Using my best Obi Wan Kenobi impression, these are not the logs you are interested in... -# Instrument your code +## Instrument your code + Instrumenting the code is the basis for most other aspects of monitoring your services. It is often surprising to people how much instrumentation you will need, but considering that this instrumentation is the only way you have of knowing something is wrong and to diagnose what needs to be fixed, it shouldn't be. While it is technically possible to do, it is very unusual to connect a debugger to a production service, so having detailed instrumentation data is extremely important. When producing this volume of information shipping all events off the local node can be very expensive. Many services use a two-part strategy for dealing with the volume of instrumentation data: * All events are kept in local rolling log file for a short interval of days and only collected when needed for debugging. Typically the events needed for detailed diagnosis are left on the node to reduce costs and resource utilization * Any events indicating service health such as error events, heart beat events or performance events are sent to a central repository where they can be used to raise alerts of an unhealthy service. There are solution that will automatically instrument your code. While these products can work well, manual instrumentation is almost always needed. In the end, you must have enough information to forensically debug the application. The next sections describe different approaches for instrumenting your code and when you should choose one over another. -## EventSource +### EventSource When you create an Azure Service Fabric solution from a template in Visual Studio, an EventSource derived class (*ServiceEventSource* or *ActorEventSource*) is generated. This provides a template to which you can add additional events appropriate for your application or service. The EventSource name **must** be unique and should be renamed from the starting string of 'MyCompany-<solution>-<project>'. Having multiple EventSource definitions using the same name will cause an issue at runtime. Each defined event must have a unique identifier. If an identifer is not unique a runtime failure will occur. Often ranges of values are pre-assigned for identifiers to avoid conflicts between separate development teams. For additional information on EventSource take a look at [Vance's blog](https://blogs.msdn.microsoft.com/vancem/2012/07/09/introduction-tutorial-logging-etw-events-in-c-system-diagnostics-tracing-eventsource/) or the [MSDN documentation](https://msdn.microsoft.com/library/dn774985(v=pandp.20).aspx). -### Using structured EventSource events +#### Using structured EventSource events + Each of the events below is defined for a specific case, a service type was registered for example. Having messages defined in this way allows data to be packaged along with the text of the error. This allows for better searching and filtering based on the names or values of the properties specified. Structuring the instrumentation output makes it easier to consume, but requires more thought and time to define a new event for each use case. Some event definitions can be shared across the entire application, e.g. a method start or stop event would be reused across many services within an application. A domain-specific service, such as an order system, may have a CreateOrder event, which will have its own unique event. Often this approach generates lots of events and potentially requires coordination of identifiers across project teams. For an more complete example of structure EventSources in Service Fabric look at the PartyCluster.ApplicationDeployService within the Party Cluster sample. ```csharp @@ -84,7 +89,8 @@ Each of the events below is defined for a specific case, a service type was regi WriteEvent(ServiceHostInitializationFailedEventId, exception); } ``` -### Using EventSource generically +#### Using EventSource generically + Because defining specific events can be difficult, many people define a small number of events with a common set of parameters that generally output their information as a string. Much of the structured aspect is lost, making it more difficult to search and filter the results. With this approach, a small number of events usually corresponding to the logging levels are defined. The snippet below defines a debug and error message. ```csharp [EventSource(Name = "MyCompany-VotingState-VotingStateService")] @@ -113,12 +119,13 @@ Because defining specific events can be difficult, many people define a small nu ``` Using a hybrid approach of both structured and generic instrumentation can also work well. In the case structured instrumentation is used for reporting errors and metrics, while generic events can be use for the detailed logging that is consumed by engineers when troubleshooting. -## ASP.NET Core logging -Choosing how to instrument your code can be difficult, if you chose poorly and have to re-instrument, you are revisiting and potentially destabilizing your code base. To reduce the risk, developers can choose an instrumentation library such as [Microsoft.Extensions.Logging](https://www.nuget.org/packages/Microsoft.Extensions.Logging/) provided by ASP.NET Core. This provides an [ILogger](https://docs.microsoft.com/en-us/aspnet/core/api/microsoft.extensions.logging.ilogger) interface that allows the provider of your choice to be used while minimizing the impact to existing code. Another nice aspect of this is that the code can be used not only in .NET Core on Windows and Linux, but in the full framework too, giving the ability to standardize your instrumentation code across .NET and .NET Core. +### ASP.NET Core logging + +Choosing how to instrument your code can be difficult, if you chose poorly and have to re-instrument, you are revisiting and potentially destabilizing your code base. To reduce the risk, developers can choose an instrumentation library such as [Microsoft.Extensions.Logging](https://www.nuget.org/packages/Microsoft.Extensions.Logging/) provided by ASP.NET Core. This provides an [ILogger](https://docs.microsoft.com/aspnet/core/api/microsoft.extensions.logging.ilogger) interface that allows the provider of your choice to be used while minimizing the impact to existing code. Another nice aspect of this is that the code can be used not only in .NET Core on Windows and Linux, but in the full framework too, giving the ability to standardize your instrumentation code across .NET and .NET Core. -### How to use Microsoft.Extensions.Logging within Service Fabric +#### How to use Microsoft.Extensions.Logging within Service Fabric -1. Add the **Microsoft.Extensions.Logging** NuGet package to the project to instrument. You'll also want to add any provider packages, we'll do this for a third-party package below. See [Logging in ASP.NET Core](https://docs.microsoft.com/en-us/aspnet/core/fundamentals/logging) for more information +1. Add the **Microsoft.Extensions.Logging** NuGet package to the project to instrument. You'll also want to add any provider packages, we'll do this for a third-party package below. See [Logging in ASP.NET Core](https://docs.microsoft.com/aspnet/core/fundamentals/logging) for more information 2. Add a using directive for 'Microsoft.Extensions.Logging' to your service file 3. Define a private variable within your service class ```csharp @@ -138,7 +145,8 @@ Choosing how to instrument your code can be difficult, if you chose poorly and h _logger.LogInformation("{RequestName} {Duration}", "MyRequest", requestDuration); ``` -### Using other logging providers +#### Using other logging providers + There are some third-party providers that work with this approach, [SeriLog](https://serilog.net/), [NLog](http://nlog-project.org/) and [loggr](https://github.com/imobile3/Loggr.Extensions.Logging) are three examples. Each of these can be plugged into ASP.Net Core Logging and can also be used separately. SeriLog has a feature that allows enrichment of all messages sent from a logger, which can be useful to output the service name, type, and partition information. To leverage this capability with in the ASP.NET Core infrastructure, perform the following 1. Add **Serilog**, **Serilog.Extensions.Logging**, **Serilog.Sinks.Observable** NuGet packages to the project. Also add **SeriLog.Sinks.Literate** for this example, a better approach is shown later in this article @@ -170,14 +178,16 @@ There are some third-party providers that work with this approach, [SeriLog](htt ``` 5. Instrument the code the same as when using ASP.NET Core without SeriLog. -[!NOTE] It is not recommended that the static Log.Logger be used with this approach because Service Fabric can host multiple instances of the same service type within a single process. This would mean that the last writer of the property enrichers would have their values shown for all instances running. This is one reason why the _logger variable is a private member variable of the service class. This also means that the _logger must be made available to common code that may be used across services. +> [!NOTE] +> It is not recommended that the static Log.Logger be used with this approach because Service Fabric can host multiple instances of the same service type within a single process. This would mean that the last writer of the property enrichers would have their values shown for all instances running. This is one reason why the _logger variable is a private member variable of the service class. This also means that the _logger must be made available to common code that may be used across services. + +### Which one should I use? -## Which one should I use? If your application cares deeply about performance, then EventSource is the best approach to use because it **generally** uses fewer resources and perform better than using ASP.NET Core logging or any of the third-party solutions. This isn't an issue for many services, but if your service is very performance oriented using EventSource may be a better choice. Of course, to get the same benefits of structured logging, EventSource requires a large investment from the engineering team. The best way to determine what to choose for your project is to do a quick prototype of what you would do for each approach and then choose the approach that best fits your needs. -# Event and log collection +## Event and log collection -## Azure Diagnostics +### Azure Diagnostics Beyond what Azure Monitoring already provides, Azure also provides a means of collecting events from each of the services to a central location. There are two articles that show how to configure event collection for [Windows](service-fabric-diagnostics-how-to-setup-wad.md) and [Linux](service-fabric-diagnostics-how-to-setup-lad.md). These articles show collecting the event data and sending it to Azure storage. This is very easily done in the portal or Resource Manager template by enabling diagnostics. Turning this on collects a few event sources that Service Fabric automatically produces: @@ -194,11 +204,12 @@ One of the downsides of using Azure Diagnostics is that the configuration is don Azure Diagnostics only works for Service Fabric clusters deployed to Azure, but it works for both Windows and Linux clusters. -## EventFlow +### EventFlow + [EventFlow was released by the Visual Studio](service-fabric-diagnostic-collect-logs-without-an-agent.md) team and provides a mechanism for routing events from a node to one or more monitoring destinations. Because it is included as a NuGet package in your service project the code and the configuration for EventFlow travels with the service, eliminating the per node configuration issue mentioned about Azure Diagnostics. EventFlow runs within your service process and directly connects to the configured outputs. Because of this direct connection, EventFlow works for Azure, container or on-premise deployments of a service. Care must be taken when running in high density scenarios such as a container because each EventFlow pipeline will make an external connection, if you are hosting lots of processes, you'll end up with lots of outbound connections! This isn't as much of an issue for Service Fabric applications because all replicas of a ServiceType run within the same process, limiting the number of outbound connections. EventFlow also offers filtering of events, so only the events that match the specified filter are sent. For detailed information on using EventFlow with Service Fabric, see [Collect logs directly from an Azure Service Fabric service process](service-fabric-diagnostic-collect-logs-without-an-agent.md) -[!NOTE] -In a future release of Service Fabric an EventSource host application will be made available allowing listening to ETW based inputs, collection of node level metrics and rolling log file support. +> [!NOTE] +> In a future release of Service Fabric an EventSource host application will be made available allowing listening to ETW based inputs, collection of node level metrics and rolling log file support. Using EventFlow is pretty easy 1. Add the NuGet package to your service project @@ -286,22 +297,22 @@ In the configuration there are two inputs defined, the two EventSource based sou 4. The last step is to instrument the code. In this example, we're going to instrument RunAsync in a few different ways as an example. In the code below, we're still using SeriLog and some of the syntax used is specific to SeriLog. Be aware of the specific capabilities for the logging solution you choose. There are three events generated, a debug level event and two informational, the second which is tracking the request duration. With the configuration of EventFlow above, the Debug level event should not flow to the output. ```csharp - Stopwatch sw = Stopwatch.StartNew(); + Stopwatch sw = Stopwatch.StartNew(); - while (true) - { - cancellationToken.ThrowIfCancellationRequested(); + while (true) + { + cancellationToken.ThrowIfCancellationRequested(); - sw.Restart(); + sw.Restart(); - // Delay a random interval to provide a more interesting request duration. - await Task.Delay(TimeSpan.FromMilliseconds(DateTime.Now.Millisecond), cancellationToken); + // Delay a random interval to provide a more interesting request duration. + await Task.Delay(TimeSpan.FromMilliseconds(DateTime.Now.Millisecond), cancellationToken); - ServiceEventSource.Current.ServiceMessage(this.Context, "Working-{0}", ++iterations); - _logger.LogDebug("Debug level event from Microsoft.Logging"); - _logger.LogInformation("Informational level event from Microsoft.Logging"); - _logger.LogInformation("{RequestName} {Duration}", "MyRequest", sw.ElapsedMilliseconds); - } + ServiceEventSource.Current.ServiceMessage(this.Context, "Working-{0}", ++iterations); + _logger.LogDebug("Debug level event from Microsoft.Logging"); + _logger.LogInformation("Informational level event from Microsoft.Logging"); + _logger.LogInformation("{RequestName} {Duration}", "MyRequest", sw.ElapsedMilliseconds); + } ``` 5. To view the events in Application Insights, open the Azure portal and navigate to your ApplicationInsights resource. Then click "Search" in the upper left and the events should be visible. @@ -312,7 +323,7 @@ The traces are at the bottom of the picture. You can see we have only two events If the cluster is a standalone cluster that cannot be connected to a cloud-based solution for policy reasons, EventFlow supports Elastic Search as an output, but other outputs can be written and pull requests are encouraged. Some of the third-party providers for ASP.NET Core logging also have solutions that support on-premises installations. -# Azure Service Fabric health and load reporting +## Azure Service Fabric health and load reporting Service Fabric has its own health model that is described in detail in a few articles - [Introduction to Service Fabric health monitoring](service-fabric-health-introduction.md) @@ -326,8 +337,8 @@ Another aspect of service health is reporting metrics from the service. Metrics Metrics also give insight into how your service is performing and over time can be used to check that the service is operating within expected parameters. For instance, if based on trends, at 9am on Monday morning the average RPS is 1000, then you may setup a health report that alerts if the RPS is below 500 or above 1500. Everything may be perfectly fine, but it may be worth a look to ensure your customers are having a great experience. Your service can define a set of metrics that can be reported for health purposes, but does not affect the resource balancing of the cluster, just set the metric weight to zero. We recommend that you start all metric with a weight of zero and don't increase the weight until you are sure that you understand how this will impact resource balancing for your cluster. -[!TIP] -Take care not to have too many weighted metrics, it can be difficult to understand why service instances are being moved around, a few metrics can go a long way! +> [!TIP] +> Take care not to have too many weighted metrics, it can be difficult to understand why service instances are being moved around, a few metrics can go a long way! Candidates for metrics and health reports are anything that can indicate the health and performance of your application. A CPU performance counter can tell you how utilized your node is, but it doesn't really say if a particular service is healthy or not because multiple services will be running on a single node. On the other hand, a metric such as RPS or items processed or request latency can all indicate the health of a particular service. @@ -348,12 +359,15 @@ this.ServicePartition.ReportLoad(new List { new LoadMetric("MemoryIn ``` ## Watchdogs + A watchdog is a separate service that can watch health and load across services and report health for anything in the health model hierarchy. This can help to prevent errors that would not be detected based on the view of a single service. Watchdogs are also a good place to host code that can perform remediation actions for known conditions without any human interaction. -# Visualization, Analysis and Alerting +## Visualization, Analysis and Alerting + The last part of monitoring is visualizing the event stream, reporting on service performance and alerting when an issue is detected. There are a lot of solutions that are used for this aspect of monitoring, Application Insights and OMS can be used to alert based on the stream of events. PowerBI or a third-party solution such as [Kibana](https://www.elastic.co/products/kibana) or [Splunk](https://www.splunk.com/) can be used for visualizing the data. ## Next steps + * [How to collect logs with Azure Diagnostics](service-fabric-diagnostics-how-to-setup-wad.md) * [Collect logs directly from an Azure Service Fabric service process](service-fabric-diagnostic-collect-logs-without-an-agent.md) * [Managing resource consumption and load in Service Fabric with metrics](service-fabric-cluster-resource-manager-metrics.md) From a97c2d1dca72c5bbaa7680e1eceb9ba663d02ec9 Mon Sep 17 00:00:00 2001 From: mumian Date: Fri, 3 Feb 2017 13:45:48 -0500 Subject: [PATCH 61/90] incorporate Scott's feedback --- .../hdinsight-hadoop-use-mapreduce-dotnet-sdk.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/articles/hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md b/articles/hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md index 039ee50a4e246..922075a6ef5ec 100644 --- a/articles/hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md +++ b/articles/hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md @@ -14,7 +14,7 @@ ms.workload: big-data ms.tgt_pltfrm: na ms.devlang: na ms.topic: article -ms.date: 11/15/2016 +ms.date: 02/03/2017 ms.author: jgao --- @@ -64,7 +64,7 @@ The HDInsight .NET SDK provides .NET client libraries, which makes it easier to private const string ExistingClusterUsername = ""; private const string ExistingClusterPassword = ""; - private const string DefaultStorageAccountName = ""; + private const string DefaultStorageAccountName = ""; //.blob.core.windows.net private const string DefaultStorageAccountKey = ""; private const string DefaultStorageContainerName = ""; @@ -93,7 +93,7 @@ The HDInsight .NET SDK provides .NET client libraries, which makes it easier to }; System.Console.WriteLine("Submitting the MR job to the cluster..."); - var jobResponse = _hdiJobManagementClient.JobManagement.SubmitHiveJob(parameters); + var jobResponse = _hdiJobManagementClient.JobManagement.SubmitMapReduceJob(paras); var jobId = jobResponse.JobSubmissionJsonResponse.Id; System.Console.WriteLine("Response status code is " + jobResponse.StatusCode); System.Console.WriteLine("JobId is " + jobId); @@ -127,6 +127,10 @@ The HDInsight .NET SDK provides .NET client libraries, which makes it easier to } 4. Press **F5** to run the application. +To run the job again, you must change the job output folder name, in the sample, it is "/example/data/davinciwordcount". + +When the job completes successfully, the output is blank. To see the result of the MapReduce job, use the Azure portal to explore the default storage container in the Blob storage. The file name is "part-r-00000". + ## Next steps In this article, you have learned several ways to create an HDInsight cluster. To learn more, see the following articles: From 55a4b22c3bb097c688446a5ec22f60baecf44ffe Mon Sep 17 00:00:00 2001 From: Sabotta Date: Fri, 3 Feb 2017 10:52:46 -0800 Subject: [PATCH 62/90] Update virtual-machines-windows-portal-sql-server-provision.md corrected formatting error --- .../sql/virtual-machines-windows-portal-sql-server-provision.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md index 3eb48e935760a..824c8df4f9e2a 100644 --- a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md +++ b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md @@ -48,7 +48,7 @@ In this tutorial, you will: 3. In the **New** blade, click **Compute** and then click **See all**. 4. In the **Filter** text box type SQL Server, and press the ENTER key. -![Azure Virtual Machines Blade](./media/virtual-machines-windows-portal-sql-server-provision/azure-compute-blade.png) + ![Azure Virtual Machines Blade](./media/virtual-machines-windows-portal-sql-server-provision/azure-compute-blade.png) 5. Review the available SQL Server templates. 6. Each template identifies a SQL Server version and an operating system. Select one of these images from the list. Then review the details blade that provides a description of the virtual machine image. From 1a982309fe771c0c244c691ae648bd5f4844a825 Mon Sep 17 00:00:00 2001 From: Padma Chilakapati Date: Fri, 3 Feb 2017 10:57:46 -0800 Subject: [PATCH 63/90] corrected typo in notes x12 agreement page --- articles/logic-apps/logic-apps-enterprise-integration-x12.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/logic-apps/logic-apps-enterprise-integration-x12.md b/articles/logic-apps/logic-apps-enterprise-integration-x12.md index d60514904df21..f4ee16146e2bc 100644 --- a/articles/logic-apps/logic-apps-enterprise-integration-x12.md +++ b/articles/logic-apps/logic-apps-enterprise-integration-x12.md @@ -53,7 +53,7 @@ After you log into the [Azure portal](http://portal.azure.com "Azure portal"): | Send Settings |These properties apply to all messages sent by an agreement | > [!NOTE] -> Resoultuion of X12 agreement depens on matching the sender qualifier and identifier, and the receiver qualifier and identifier defined in the partner and incoming message. If there are changes to these values at partner, edit the agreement as well. +> Resolution of X12 agreement depends on matching the sender qualifier and identifier, and the receiver qualifier and identifier defined in the partner and incoming message. If there are changes to these values at partner, edit the agreement as well. > > From 110bf7df8753ec83a5a8b4219891700b462d4eb1 Mon Sep 17 00:00:00 2001 From: Jeff Stokes Date: Fri, 3 Feb 2017 14:00:05 -0500 Subject: [PATCH 64/90] fixing code blocks --- ...ytics-twitter-sentiment-analysis-trends.md | 103 +++++++++--------- 1 file changed, 53 insertions(+), 50 deletions(-) diff --git a/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md b/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md index 1e557633e5934..0fc0c9ad00039 100644 --- a/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md +++ b/articles/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends.md @@ -64,22 +64,22 @@ Follow these steps to set up the application: Note that you will need to make an empty application to generate a token. -3. Replace the EventHubConnectionString and EventHubName values in TwitterClient.exe.config with the connection string and name of your event hub. The connection string that you copied earlier gives you both the connection string and the name of your event hub, so be sure to separate them and put each in the correct field. For example, consider the following connection string: - -` Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey;EntityPath=yourhub` - +3. Replace the EventHubConnectionString and EventHubName values in TwitterClient.exe.config with the connection string and name of your event hub. The connection string that you copied earlier gives you both the connection string and the name of your event hub, so be sure to separate them and put each in the correct field. For example, consider the following connection string: + + `Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey;EntityPath=yourhub` + The TwitterClient.exe.config file should contain your settings as in the following example: - -``` + + ``` add key="EventHubConnectionString" value="Endpoint=sb://your.servicebus.windows.net/;SharedAccessKeyName=yourpolicy;SharedAccessKey=yoursharedaccesskey" add key="EventHubName" value="yourhub" -``` - + ``` + It is important to note that the text "EntityPath=" does **not** appear in the EventHubName value. - + 4. *Optional:* Adjust the keywords to search for. As a default, this application looks for "Azure,Skype,XBox,Microsoft,Seattle". You can adjust the values for **twitter_keywords** in TwitterClient.exe.config, if desired. 5. Run TwitterClient.exe to start your application. You will see Tweet events with the **CreatedAt**, **Topic**, and **SentimentScore** values being sent to your event hub. - + ![Sentiment analysis: SentimentScore values sent to an event hub.](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-twitter-sentiment-output-to-event-hub.png) ## Create a Stream Analytics job @@ -91,33 +91,35 @@ Now that Tweet events are streaming in real time from Twitter, we can set up a S * **JOB NAME**: Enter a job name. * **REGION**: Select the region where you want to run the job. Consider placing the job and the event hub in the same region to ensure better performance and to ensure that you will not be paying to transfer data between regions. - * **STORAGE ACCOUNT**: Choose the Azure storage account that you would like to use to store monitoring data for all Stream Analytics jobs that run within this region. You have the option to choose an existing storage account or to create a new one. -3. Click **STREAM ANALYTICS** in the left pane to list the Stream Analytics jobs. + * **STORAGE ACCOUNT**: Choose the Azure storage account that you would like to use to store monitoring data for all Stream Analytics jobs that run within this region. You have the option to choose an existing storage account or to create a new one. +3. Click **STREAM ANALYTICS** in the left pane to list the Stream Analytics jobs. + ![Stream Analytics service icon](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-service-icon.png) - + The new job will be shown with a status of **CREATED**. Notice that the **START** button on the bottom of the page is disabled. You must configure the job input, output, and query before you can start the job. + ### Specify job input + 1. In your Stream Analytics job, click **INPUTS** from the top of the page, and then click **ADD INPUT**. The dialog box that opens will walk you through a number of steps to set up your input. 2. Click **DATA STREAM**, and then click the right button. 3. Click **EVENT HUB**, and then click the right button. -4. Type or select the following values on the third page: - +4. Type or select the following values on the third page: + * **INPUT ALIAS**: Enter a friendly name for this job input, such as *TwitterStream*. Note that you will use this name in the query later. - **EVENT HUB**: If the event hub that you created is in the same subscription as the Stream Analytics job, select the namespace that the event hub is in. - - If your event hub is in a different subscription, click **Use Event Hub from Another Subscription**, and then manually enter information for **SERVICE BUS NAMESPACE**, **EVENT HUB NAME**, **EVENT HUB POLICY NAME**, **EVENT HUB POLICY KEY**, and **EVENT HUB PARTITION COUNT**. + * **EVENT HUB**: If the event hub that you created is in the same subscription as the Stream Analytics job, select the namespace that the event hub is in. + * If your event hub is in a different subscription, click **Use Event Hub from Another Subscription**, and then manually enter information for **SERVICE BUS NAMESPACE**, **EVENT HUB NAME**, **EVENT HUB POLICY NAME**, **EVENT HUB POLICY KEY**, and **EVENT HUB PARTITION COUNT**. * **EVENT HUB NAME**: Select the name of the event hub. * **EVENT HUB POLICY NAME**: Select the event hub policy that you created earlier in this tutorial. * **EVENT HUB CONSUMER GROUP**: Type the name of the consumer group that you created earlier in this tutorial. - + 5. Click the right button. -6. Specify the following values: - +6. Specify the following values: + * **EVENT SERIALIZER FORMAT**: JSON * **ENCODING**: UTF8 - + 7. Click the **CHECK** button to add this source and to verify that Stream Analytics can successfully connect to the event hub. ### Specify job query @@ -134,62 +136,62 @@ To validate your query against actual job data, you can use the **SAMPLE DATA** To start, we will do a simple pass-through query that projects all the fields in an event. 1. Click **QUERY** at the top of the Stream Analytics job page. -2. In the code editor, replace the initial query template with the following: - +2. In the code editor, replace the initial query template with the following: + `SELECT * FROM TwitterStream` - + Make sure that the name of the input source matches the name of the input that you specified earlier. - + 3. Click **Test** under the query editor. 4. Go to your sample .json file. 5. Click the **CHECK** button, and see the results below the query definition. - + ![Results displayed below query definition](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-sentiment-by-topic.png) - + #### Count of tweets by topic: Tumbling window with aggregation To compare the number of mentions among topics, we'll use a [TumblingWindow](https://msdn.microsoft.com/library/azure/dn835055.aspx) to get the count of mentions by topic every five seconds. -1. Change the query in the code editor to: - -``` +1. Change the query in the code editor to: + + ``` SELECT System.Timestamp as Time, Topic, COUNT(*) FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY TUMBLINGWINDOW(s, 5), Topic -``` - + ``` + This query uses the **TIMESTAMP BY** keyword to specify a timestamp field in the payload to be used in the temporal computation. If this field wasn't specified, the windowing operation would be performed by using the time that each event arrived at the event hub. Learn more in the "Arrival Time Vs Application Time" section of [Stream Analytics Query Reference](https://msdn.microsoft.com/library/azure/dn834998.aspx). - + This query also accesses a timestamp for the end of each window by using the **System.Timestamp** property. - + 2. Click **Rerun** under the query editor to see the results of the query. #### Identify trending topics: Sliding window To identify trending topics, we'll look for topics that cross a threshold value for mentions in a given amount of time. For the purposes of this tutorial, we'll check for topics that are mentioned more than 20 times in the last five seconds by using a [SlidingWindow](https://msdn.microsoft.com/library/azure/dn835051.aspx). -1. Change the query in the code editor to: - -``` +1. Change the query in the code editor to: + + ``` SELECT System.Timestamp as Time, Topic, COUNT(*) as Mentions FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY SLIDINGWINDOW(s, 5), topic HAVING COUNT(*) > 20 -``` - -2. Click **Rerun** under the query editor to see the results of the query. - + ``` + +2. Click **Rerun** under the query editor to see the results of the query. + ![Sliding Window query output](./media/stream-analytics-twitter-sentiment-analysis-trends/stream-analytics-query-output.png) - + #### Count of mentions and sentiment: Tumbling window with aggregation The final query that we will test uses **TumblingWindow** to get the number of mentions, average, minimum, maximum, and standard deviation of sentiment score for each topic every five seconds. -1. Change the query in the code editor to: - -``` +1. Change the query in the code editor to: + + ``` SELECT System.Timestamp as Time, Topic, COUNT(*), AVG(SentimentScore), MIN(SentimentScore), Max(SentimentScore), STDEV(SentimentScore) FROM TwitterStream TIMESTAMP BY CreatedAt GROUP BY TUMBLINGWINDOW(s, 5), Topic -``` + ``` 2. Click **Rerun** under the query editor to see the results of the query. 3. This is the query that we will use for our dashboard. Click **SAVE** at the bottom of the page. @@ -206,15 +208,16 @@ Use the following steps to create a container for Blob storage, if you don't alr ## Specify job output 1. In your Stream Analytics job, click **OUTPUT** at the top of the page, and then click **ADD OUTPUT**. The dialog box that opens will walk you through several steps to set up your output. 2. Click **BLOB STORAGE**, and then click the right button. -3. Type or select the following values on the third page: - +3. Type or select the following values on the third page: + * **OUTPUT ALIAS**: Enter a friendly name for this job output. * **SUBSCRIPTION**: If the Blob storage that you created is in the same subscription as the Stream Analytics job, click **Use Storage Account from Current Subscription**. If your storage is in a different subscription, click **Use Storage Account from Another Subscription**, and manually enter information for **STORAGE ACCOUNT**, **STORAGE ACCOUNT KEY**, and **CONTAINER**. * **STORAGE ACCOUNT**: Select the name of the storage account. * **CONTAINER**: Select the name of the container. * **FILENAME PREFIX**: Type a file prefix to use when writing blob output. + 4. Click the right button. -5. Specify the following values: +5. Specify the following values: * **EVENT SERIALIZER FORMAT**: JSON * **ENCODING**: UTF8 6. Click the **CHECK** button to add this source and to verify that Stream Analytics can successfully connect to the storage account. From fcc47e3e054d88fe40c13a0fd9949c315dbfce9b Mon Sep 17 00:00:00 2001 From: mumian Date: Fri, 3 Feb 2017 14:05:36 -0500 Subject: [PATCH 65/90] update --- .../hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md b/articles/hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md index 922075a6ef5ec..3a12634a43a19 100644 --- a/articles/hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md +++ b/articles/hdinsight/hdinsight-hadoop-use-mapreduce-dotnet-sdk.md @@ -134,9 +134,9 @@ When the job completes successfully, the output is blank. To see the result of t ## Next steps In this article, you have learned several ways to create an HDInsight cluster. To learn more, see the following articles: -* For creating a cluster and submitting a Hive job, see [Get started with Azure HDInsight](hdinsight-hadoop-linux-tutorial-get-started.md). +* For submitting a Hive job, see [Run Hive queries using HDInsight .NET SDK](hdinsight-hadoop-use-hive-dotnet-sdk.md). * For creating HDInsight clusters, see [Create Linux-based Hadoop clusters in HDInsight](hdinsight-hadoop-provision-linux-clusters.md). -* For managing HDInsight clusters, see [Manage Hadoop clusters in HDInsight](hdinsight-administer-use-management-portal.md). +* For managing HDInsight clusters, see [Manage Hadoop clusters in HDInsight](hdinsight-administer-use-portal-linux.md). * For learning the HDInsight .NET SDK, see [HDInsight .NET SDK reference](https://msdn.microsoft.com/library/mt271028.aspx). * For non-interactive authenticate to Azure, see [Create non-interactive authentication .NET HDInsight applications](hdinsight-create-non-interactive-authentication-dotnet-applications.md). From 26929e9d39f3993e076f284fcfb8c4a06b0c2082 Mon Sep 17 00:00:00 2001 From: Padma Chilakapati Date: Fri, 3 Feb 2017 11:08:15 -0800 Subject: [PATCH 66/90] corrected headers in certificate page --- ...-apps-enterprise-integration-certificates.md | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/articles/logic-apps/logic-apps-enterprise-integration-certificates.md b/articles/logic-apps/logic-apps-enterprise-integration-certificates.md index 29edb08c7c839..ed146a1c57dd7 100644 --- a/articles/logic-apps/logic-apps-enterprise-integration-certificates.md +++ b/articles/logic-apps/logic-apps-enterprise-integration-certificates.md @@ -4,7 +4,7 @@ title: Using certificates with Enterprise Integration Pack | Microsoft Docs description: Learn how to use certificates with the Enterprise Integration Pack and Logic Apps services: logic-apps documentationcenter: .net,nodejs,java -author: msftman +author: padmavc manager: anneta editor: cgronlun @@ -14,8 +14,8 @@ ms.workload: integration ms.tgt_pltfrm: na ms.devlang: na ms.topic: article -ms.date: 09/06/2016 -ms.author: deonhe +ms.date: 02/03/2016 +ms.author: padmamvc --- # Learn about certificates and Enterprise Integration Pack @@ -34,9 +34,9 @@ Sometimes B2B communications must be kept confidential. Enterprise integration u * By encrypting the contents of messages * By digitally signing messages -## How do you upload certificates? -### Public certificates -To use a *public certificate* in your logic apps with B2B capabilities, you first need to upload the certificate into your integration account. To use a *self-signed certificate*, on the other hand, you must first upload it to [Azure Key Vault](../key-vault/key-vault-get-started.md "Learn about Key Vault"). +## Upload a public certificate + +To use a *public certificate* in your logic apps with B2B capabilities, you first need to upload the certificate into your integration account. After you upload a certificate, it's available to help you secure your B2B messages when you define their properties in the [agreements](logic-apps-enterprise-integration-agreements.md) that you create. @@ -58,8 +58,9 @@ Here are the detailed steps for uploading your public certificates into your int 9. Select the **Certificates** tile. You should see the newly added certificate. ![See the new certificate](media/logic-apps-enterprise-integration-certificates/certificate-4.png) -### Private certificates -You can upload private certificates into your integration account by taking the following steps: +## Upload a private certificate + +To use a *private certificate* in your logic apps with B2B capabilities, You can upload a private certificate to your integration account by taking the following steps 1. [Upload your private key to Key Vault](../key-vault/key-vault-get-started.md "Learn about Key Vault") and provide a **Key Name** From 20365c101a6e41f3af19d80300bc409705a57f4b Mon Sep 17 00:00:00 2001 From: Todd Abel Date: Fri, 3 Feb 2017 11:09:32 -0800 Subject: [PATCH 67/90] fixed issues --- articles/service-fabric/service-fabric-diagnostics-overview.md | 1 - 1 file changed, 1 deletion(-) diff --git a/articles/service-fabric/service-fabric-diagnostics-overview.md b/articles/service-fabric/service-fabric-diagnostics-overview.md index cd5d8b3c50533..1c3242d25b1be 100644 --- a/articles/service-fabric/service-fabric-diagnostics-overview.md +++ b/articles/service-fabric/service-fabric-diagnostics-overview.md @@ -314,7 +314,6 @@ In the configuration there are two inputs defined, the two EventSource based sou _logger.LogInformation("{RequestName} {Duration}", "MyRequest", sw.ElapsedMilliseconds); } ``` - 5. To view the events in Application Insights, open the Azure portal and navigate to your ApplicationInsights resource. Then click "Search" in the upper left and the events should be visible. ![Application Insights Search view of events](./media/service-fabric-diagnostics-overview/ai-search-events.png) From c8cfe5fb933cf9056b971d3e524f3c9ebc910215 Mon Sep 17 00:00:00 2001 From: Padma Chilakapati Date: Fri, 3 Feb 2017 11:27:23 -0800 Subject: [PATCH 68/90] typo corrected in certificate page --- .../logic-apps-enterprise-integration-certificates.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/logic-apps/logic-apps-enterprise-integration-certificates.md b/articles/logic-apps/logic-apps-enterprise-integration-certificates.md index ed146a1c57dd7..2a2ec9c9fc679 100644 --- a/articles/logic-apps/logic-apps-enterprise-integration-certificates.md +++ b/articles/logic-apps/logic-apps-enterprise-integration-certificates.md @@ -1,7 +1,7 @@ --- title: Using certificates with Enterprise Integration Pack | Microsoft Docs -description: Learn how to use certificates with the Enterprise Integration Pack and Logic Apps +description: Learn how to use certificates with the Enterprise Integration Pack | Azure Logic Apps services: logic-apps documentationcenter: .net,nodejs,java author: padmavc @@ -15,7 +15,7 @@ ms.tgt_pltfrm: na ms.devlang: na ms.topic: article ms.date: 02/03/2016 -ms.author: padmamvc +ms.author: padmavc --- # Learn about certificates and Enterprise Integration Pack From 0239a6c83ed73069e517952fe25571cb9b39635a Mon Sep 17 00:00:00 2001 From: Gilad Mittelman Date: Fri, 3 Feb 2017 21:33:29 +0200 Subject: [PATCH 69/90] small fix --- articles/sql-database/sql-database-auditing-get-started.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/articles/sql-database/sql-database-auditing-get-started.md b/articles/sql-database/sql-database-auditing-get-started.md index 63383f5cf775f..1a01064889ae5 100644 --- a/articles/sql-database/sql-database-auditing-get-started.md +++ b/articles/sql-database/sql-database-auditing-get-started.md @@ -41,7 +41,8 @@ There are two **Auditing methods**: * **Blob auditing** - logs are written to Azure Blob Storage. This is a newer auditing method, which provides **higher performance**, supports **higher granularity object-level auditing**, and is **more cost effective**. * **Table auditing** - logs are written to Azure Table Storage. -> **Important** - the introduction of the new Blob Auditing brings a major change to the way Server auditing policy is being inherited by the database. See [Blob/Table differences in Server auditing policy inheritance](#subheading-8) section for additional details. +> [!IMPORTANT] +> The introduction of the new Blob Auditing brings a major change to the way Server auditing policy is being inherited by the database. See [Blob/Table differences in Server auditing policy inheritance](#subheading-8) section for additional details. You can configure auditing for different types of event categories, as explained in the [Set up auditing for your database](#subheading-2) section. From d9ffd4176e87b6b5ada882ff09f507665bda7b1d Mon Sep 17 00:00:00 2001 From: curtand Date: Fri, 3 Feb 2017 12:10:04 -0800 Subject: [PATCH 70/90] customer feedbak incorped --- .../active-directory-b2b-admin-add-users.md | 7 ++++++- .../active-directory-b2b-faq.md | 8 +++++--- .../active-directory-b2b-invitation-email.md | 5 ++++- .../active-directory-b2b-iw-add-users.md | 6 ++---- .../active-directory-b2b-mfa-instructions.md | 14 ++++++++------ ...ctive-directory-b2b-redemption-experience.md | 1 + .../invitation-email.png | Bin 0 -> 71312 bytes 7 files changed, 26 insertions(+), 15 deletions(-) create mode 100644 articles/active-directory/media/active-directory-b2b-invitation-email/invitation-email.png diff --git a/articles/active-directory/active-directory-b2b-admin-add-users.md b/articles/active-directory/active-directory-b2b-admin-add-users.md index df10b10284703..3e323d2822d55 100644 --- a/articles/active-directory/active-directory-b2b-admin-add-users.md +++ b/articles/active-directory/active-directory-b2b-admin-add-users.md @@ -30,24 +30,29 @@ Add B2B collaboration users to the directory as an Azure AD administrator, as sh >[!VIDEO https://channel9.msdn.com/Blogs/Azure/Admin-adding-guests-for-B2B-collaboration-to-Azure-AD-tenant] + If this video does not appear embedded, you can reach it [here](https://channel9.msdn.com/Blogs/Azure/Admin-adding-guests-for-B2B-collaboration-to-Azure-AD-tenant). + ## Admins adding guest users to a group Add B2B collaboration users to a group as an Azure AD administrator, as shown in the following video: >[!VIDEO https://channel9.msdn.com/Blogs/Azure/admin-adding-guests-to-a-group] + If this video does not appear embedded, you can reach it [here](https://channel9.msdn.com/Blogs/Azure/admin-adding-guests-to-a-group). + ## Admins adding guest users to an application Add B2B collaboration users to an application as an Azure AD administrator, as shown in the following video: >[!VIDEO https://channel9.msdn.com/Blogs/Azure/admin-assign-b2b-to-apps] + If this video does not appear embedded, you can reach it [here](https://channel9.msdn.com/Blogs/Azure/admin-assign-b2b-to-apps). ## Related articles Browse our other articles on Azure AD B2B collaboration: * [What is Azure AD B2B collaboration?](active-directory-b2b-what-is-azure-ad-b2b.md) -* [How do information workers add B2B collaboration users?](active-directory-b2b-how-it-works.md) +* [How do information workers add B2B collaboration users?](active-directory-b2b-iw-add-users.md) * [The elements of the B2B collaboration invitation email](active-directory-b2b-invitation-email.md) * [B2B collaboration invitation redemption](active-directory-b2b-redemption-experience.md) * [Azure AD B2B collaboration licensing](active-directory-b2b-licensing.md) diff --git a/articles/active-directory/active-directory-b2b-faq.md b/articles/active-directory/active-directory-b2b-faq.md index dcc706aab651f..984af8acee54f 100644 --- a/articles/active-directory/active-directory-b2b-faq.md +++ b/articles/active-directory/active-directory-b2b-faq.md @@ -21,7 +21,7 @@ ms.author: sasubram # Azure Active Directory B2B collaboration frequently-asked questions (FAQ) -Frequently-asked questions is periodically updated to reflect any new issues. +Frequently-asked questions is periodically updated to reflect any new interests. ### Is this functionality available in the Azure classic portal? The new capabilities in this Azure AD B2B collaboration public preview refresh are available only through [the Azure portal](https://portal.azure.com) and the new Access Panel. Try it! @@ -57,7 +57,7 @@ Some organizations want to add B2B collaboration users, provision them to applic Your organization might have added contacts representing external collaborators so that they show up in the Global Address List and as email address suggestions during email composition. You might be wondering what happens when you now add these same collaborators as B2B collaboration users in the directory, right? In a future release, B2B collaboration users and your contact objects will be able to co-exist in your company directory. Stay tuned for our announcements! ### Can I make my guest users limited admins? -Absolutely. If this is what your organization needs, find out how in [Adding guest users to a role](active-directory-users-assign-role-azure-portal.md). +Absolutely. If this is what your organization needs, find out how in [Adding guest users to a role](active-directory-users-assign-role-azure-portal). ### Does Azure AD B2B collaboration support permitting B2B users to access the Azure portal? B2B collaboration users should not need to access the Azure portal unless they are assigned a limited administrator or global administrator role. In this case, they can access the portal. If a guest user who is not in these roles accesses the portal, then he/she may be able to access certain parts of the experience because the Guest user role has certain permissions in the directory as described in previous sections. @@ -68,11 +68,13 @@ You can block access to the [Azure portal](https://portal.azure.com) by guest us 1. Modify the **All Users** group to only contain Members ![](media/active-directory-b2b-faq/modify-all-users-group.png) 2. Create a dynamic group that contains Guest users - ![](media/active-directory-b2b-faq/group-with-guest-users.png) + ![](media/active-directory-b2b-faq/image15.png) 3. Set up a conditional access policy to block guest users from accessing the portal, as shown in the following video. >[!VIDEO https://channel9.msdn.com/Blogs/Azure/b2b-block-guest-user] + If this video does not appear embedded, you can reach it [here](https://channel9.msdn.com/Blogs/Azure/b2b-block-guest-user). + ### What is the timeline by which Azure AD B2B collaboration will start support for MFA and consumer email accounts? Both MFA and consumer email accounts are supported now in this public preview refresh. diff --git a/articles/active-directory/active-directory-b2b-invitation-email.md b/articles/active-directory/active-directory-b2b-invitation-email.md index 033916808e2e0..d91df169c5411 100644 --- a/articles/active-directory/active-directory-b2b-invitation-email.md +++ b/articles/active-directory/active-directory-b2b-invitation-email.md @@ -24,6 +24,8 @@ ms.author: sasubram Invitation emails are a critical component to bring partners on board as B2B collaboration users in Azure AD. The primary goal for this is to increase trust in the recipient and add legitimacy and social proof to the email, to make sure the recipient feels comfortable with selecting the **Get Started** button to accept the invitation. This is a key component to reducing sharing friction. And of course, we also want the email to look great! +![Azure AD B2b invitation email](media/active-directory-b2b-invitation-email/invitation-email.png) + ## Explaining the email Let's look at a few elements of the email so you know how best to make use of these capabilities. @@ -39,7 +41,7 @@ We use a LinkedIn-like pattern for the From address. Our goal here is to be clea The reply to email is set to the inviter's email when available, so that replying to the email will send an email back to the inviter. ### Branding -The invitation emails from your tenant use the company branding that you may have set up for your tenant. If you want to take advantage of this, here are the details on how to configure it. The banner logo will show up in the email. Follow the image size and quality instructions here for best results. In addition, the company name also shows up in the call to action. +The invitation emails from your tenant use the company branding that you may have set up for your tenant. If you want to take advantage of this, [here](https://docs.microsoft.com/azure/active-directory/active-directory-branding-custom-signon-azure-portal) are the details on how to configure it. The banner logo will show up in the email. Follow the image size and quality instructions [here](https://docs.microsoft.com/azure/active-directory/active-directory-branding-custom-signon-azure-portal) for best results. In addition, the company name also shows up in the call to action. ### Call to action The call to action consists of two parts: explaining why the recipient has received the mail and what the recipient is being asked to do about it. @@ -50,6 +52,7 @@ The call to action consists of two parts: explaining why the recipient has recei ### Inviter's information The inviter's display name will be included in the email. And in addition, if you've set up a profile picture for your Azure AD account, the inviting email will include that picture as well. Both of these are intended to increase your recipient's confidence in the email. + If the inviter hasn't yet set up their profile picture, Azure AD creates an icon with the inviter's initials in place of the picture as shown: ![displaying the inviter's initials](media/active-directory-b2b-invitation-email/inviters-initials.png) diff --git a/articles/active-directory/active-directory-b2b-iw-add-users.md b/articles/active-directory/active-directory-b2b-iw-add-users.md index bae9c97ade9e5..cc13cd4c5841e 100644 --- a/articles/active-directory/active-directory-b2b-iw-add-users.md +++ b/articles/active-directory/active-directory-b2b-iw-add-users.md @@ -29,6 +29,8 @@ Assign B2B collaboration users to a app as an information worker in a partner or >[!VIDEO https://channel9.msdn.com/Blogs/Azure/information-worker-assign-to-apps] + If this video does not appear embedded, you can reach it [here](https://channel9.msdn.com/Blogs/Azure/information-worker-assign-to-apps). + ## Information workers adding B2B collaboration users to a group Information workers can similarly add B2B collaboration users to an assigned group that is enabled for self-service group management. @@ -45,10 +47,6 @@ This is the scenario in which this is most useful: 4. Now Sam can add other users from Litware to the WoodGrove directory, groups or applications without needing invitations to be redeemed. If Sam has the appropriate enumeration privileges in Litware, this happens automatically. -## Related articles - -Browse our other articles on Azure AD B2B collaboration: - * [What is Azure AD B2B collaboration?](active-directory-b2b-what-is-azure-ad-b2b.md) * [How do Azure Active Directory admins add B2B collaboration users?](active-directory-b2b-admin-add-users.md) * [The elements of the B2B collaboration invitation email](active-directory-b2b-invitation-email.md) diff --git a/articles/active-directory/active-directory-b2b-mfa-instructions.md b/articles/active-directory/active-directory-b2b-mfa-instructions.md index f799288de760e..2ce1be147672f 100644 --- a/articles/active-directory/active-directory-b2b-mfa-instructions.md +++ b/articles/active-directory/active-directory-b2b-mfa-instructions.md @@ -19,7 +19,7 @@ ms.author: sasubram --- -# Multi-factor authentication for B2B collaboration users +# Multi-factor authentication for Azure Active Directory B2B collaboration users With this Azure AD B2B collaboration public preview refresh, we are introducing the capability for organizations to enforce multi-factor authentication (MFA) policies for B2B collaboration users also. In this refresh, MFA is always enforced at the resource tenancy. @@ -43,17 +43,19 @@ Check out the animation below to see the redemption experience, as shown in the >[!VIDEO https://channel9.msdn.com/Blogs/Azure/MFA-redemption] + If this video does not appear embedded, you can reach it [here](https://channel9.msdn.com/Blogs/Azure/MFA-redemption). + ## MFA reset for B2B collaboration users Currently, the admin can require B2B collaboration users to proof up again only by using the following PowerShell cmdlets. Therefore, the following PowerShell cmdlts should be used if you want to reset a B2B user's proof up method. Note: To use the new cmdlet, you need to install the Azure AD PowerShell V2 module, which you can get from here: https://www.powershellgallery.com/packages/AzureADPreview 1. Connect to Azure AD - ```Connect-AzureAd and login``` + Connect-AzureAd and login 2. Get all users with proof up methods - ```Get-MsolUser | where { $_.StrongAuthenticationMethods} | select UserPrincipalName, + Get-MsolUser | where { $_.StrongAuthenticationMethods} | select UserPrincipalName, @{n="Methods";e={($_.StrongAuthenticationMethods).MethodType}} Here is an example: PS C:\Users\tjwasser> Get-MsolUser | where { $_.StrongAuthenticationMethods} | select UserPrincipalName, @{n="Methods";e -={($_.StrongAuthenticationMethods).MethodType}}``` +={($_.StrongAuthenticationMethods).MethodType}} UserPrincipalName | Methods ----------------- | ------- @@ -69,8 +71,8 @@ Note: To use the new cmdlet, you need to install the Azure AD PowerShell V2 modu 3. Reset the MFA method for a specific user You can then use that UserPrincipalName to run the reset command to require the B2B user to set proof-up methods again. Example: - ```Reset-MsolStrongAuthenticationMethodByUpn -UserPrincipalName - gsamoogle_gmail.com#EXT#@ WoodGroveAzureAD.onmicrosoft.com``` + Reset-MsolStrongAuthenticationMethodByUpn -UserPrincipalName + gsamoogle_gmail.com#EXT#@ WoodGroveAzureAD.onmicrosoft.com ## Next steps diff --git a/articles/active-directory/active-directory-b2b-redemption-experience.md b/articles/active-directory/active-directory-b2b-redemption-experience.md index d5643768bc771..4baf5b3de29ae 100644 --- a/articles/active-directory/active-directory-b2b-redemption-experience.md +++ b/articles/active-directory/active-directory-b2b-redemption-experience.md @@ -31,6 +31,7 @@ Azure AD B2B collaboration makes it easy for any email address to be used for re >[!VIDEO https://channel9.msdn.com/Blogs/Azure/admin-adding-guests-to-a-group] +If this video does not appear embedded, you can reach it [here](https://channel9.msdn.com/Blogs/Azure/admin-adding-guests-to-a-group). ## Next steps diff --git 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a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -14,7 +14,7 @@ ms.devlang: na ms.topic: hero-article ms.tgt_pltfrm: na ms.workload: big-data -ms.date: 02/02/2017 +ms.date: 02/03/2017 ms.author: saurinsh --- @@ -36,6 +36,10 @@ This is the simplest architecture for integrating HDInsight with Active Director ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_1.png) +> [!NOTE] +> In this architecture, you can not use Azure Data Lake Store with HDInsight cluster. + + Prerequisites for the Active Directory: * An [Organizational Unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. @@ -76,6 +80,9 @@ This architecture is similar the architecture #1. 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z5knZm+{$e}w|#wm7sYJpUkcQm?a*aL$;WyDBU|l;n@vC3KUH8{?8(sZ1xFMFWBCG=iuU+fL^(Is)S*d-xxuWo4D1YRGQd zuCkM@)eR8j{%}x3ihB;x-W`h2-S|*&=?1pj10ax!Ss?b%yQ{&$kN=|!meDDpwbp*O z_dMD}Tbt5E4R;G_9bNEW)$)cNwd3NrTckpOsYcFO^=O~l4! zR4ec=Srhq>@qz@&7ZSBg+(-izDS3#sd?pUEs{wqqmsRVreJzmwn~ z+Yels|3N$0K9g8pU}wZCSbZTJ9mQHZR6sHH_fLGmpok6)wl%bYAG*`<)CcI&i)WLx>++2DUjHGaln=jo7-Fpa zt#j@Fgr2#cMhXY!&8>{g&kq#8Qha~Uq{tm7r){(kCAF7Z`43gr<`B{abQVP2WB<(F zq^T^OOxtyg@)qz5AL6*4{2;c8DB1|U=V?bf=+F_kjr3;*P}yio@+xv=GN1ha57AuR AdjJ3c From d7eacb59cb50490be0122fd9fa55dd20379d97e0 Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Fri, 3 Feb 2017 12:18:39 -0800 Subject: [PATCH 72/90] Minor edits to linux-create-upload-centos --- ...ual-machines-linux-create-upload-centos.md | 30 +++++++++---------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md b/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md index 9ec6d85d08bad..1983a2278eaf4 100644 --- a/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md +++ b/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md @@ -71,7 +71,7 @@ This article assumes that you have already installed a CentOS (or similar deriva # sudo chkconfig network on -8. If you would like to use the OpenLogic mirrors that are hosted within the Azure datacenters, then replace the /etc/yum.repos.d/CentOS-Base.repo file with the following repositories. This will also add the **[openlogic]** repository that includes additional packages such as the Azure Linux agent: +8. If you would like to use the OpenLogic mirrors that are hosted within the Azure datacenters, then replace the `/etc/yum.repos.d/CentOS-Base.repo` file with the following repositories. This will also add the **[openlogic]** repository that includes additional packages such as the Azure Linux agent: [openlogic] name=CentOS-$releasever - openlogic packages for $basearch @@ -121,7 +121,7 @@ This article assumes that you have already installed a CentOS (or similar deriva gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 - [!Note] + >[!Note] The rest of this guide will assume you are using at least the `[openlogic]` repo, which will be used to install the Azure Linux agent below. @@ -129,7 +129,7 @@ This article assumes that you have already installed a CentOS (or similar deriva http_caching=packages -10. Run the following command to clear the current yum metadata: +10. Run the following command to clear the current yum metadata and update the system with the latest packages: # yum clean all @@ -137,12 +137,12 @@ This article assumes that you have already installed a CentOS (or similar deriva # sudo yum -y update - A reboot maybe required after running this command. + A reboot may be required after running this command. 11. (Optional) Install the drivers for the Linux Integration Services (LIS). - [!IMPORTANT] - The step is **required** for CentOS 6.3 and earlier, and optional for later releases. + >[!IMPORTANT] + The step is **required** for CentOS 6.3 and earlier, and optional for later releases. # sudo rpm -e hypervkvpd ## (may return error if not installed, that's OK) # sudo yum install microsoft-hyper-v @@ -156,7 +156,7 @@ This article assumes that you have already installed a CentOS (or similar deriva The WALinuxAgent package will remove the NetworkManager and NetworkManager-gnome packages if they were not already removed as described in step 3. -13. Modify the kernel boot line in your grub configuration to include additional kernel parameters for Azure. To do this, open "/boot/grub/menu.lst" in a text editor and ensure that the default kernel includes the following parameters: +13. Modify the kernel boot line in your grub configuration to include additional kernel parameters for Azure. To do this, open `/boot/grub/menu.lst` in a text editor and ensure that the default kernel includes the following parameters: console=ttyS0 earlyprintk=ttyS0 rootdelay=300 @@ -168,14 +168,14 @@ This article assumes that you have already installed a CentOS (or similar deriva Graphical and quiet boot are not useful in a cloud environment where we want all the logs to be sent to the serial port. The `crashkernel` option may be left configured if desired, but note that this parameter will reduce the amount of available memory in the VM by 128MB or more, which may be problematic on the smaller VM sizes. - [!Important] - CentOS 6.5 and earlier must also set the kernel parameter `numa=off`. See Red Hat [KB 436883](https://access.redhat.com/solutions/436883). + >[!Important] + CentOS 6.5 and earlier must also set the kernel parameter `numa=off`. See Red Hat [KB 436883](https://access.redhat.com/solutions/436883). 14. Ensure that the SSH server is installed and configured to start at boot time. This is usually the default. 15. Do not create swap space on the OS disk. - The Azure Linux Agent can automatically configure swap space using the local resource disk that is attached to the VM after provisioning on Azure. Note that the local resource disk is a *temporary* disk, and might be emptied when the VM is deprovisioned. After installing the Azure Linux Agent (see previous step), modify the following parameters in /etc/waagent.conf appropriately: + The Azure Linux Agent can automatically configure swap space using the local resource disk that is attached to the VM after provisioning on Azure. Note that the local resource disk is a *temporary* disk, and might be emptied when the VM is deprovisioned. After installing the Azure Linux Agent (see previous step), modify the following parameters in `/etc/waagent.conf` appropriately: ResourceDisk.Format=y ResourceDisk.Filesystem=ext4 @@ -228,7 +228,7 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe # sudo ln -s /dev/null /etc/udev/rules.d/75-persistent-net-generator.rules -6. If you would like to use the OpenLogic mirrors that are hosted within the Azure datacenters, then replace the /etc/yum.repos.d/CentOS-Base.repo file with the following repositories. This will also add the **[openlogic]** repository that includes packages for the Azure Linux agent: +6. If you would like to use the OpenLogic mirrors that are hosted within the Azure datacenters, then replace the `/etc/yum.repos.d/CentOS-Base.repo` file with the following repositories. This will also add the **[openlogic]** repository that includes packages for the Azure Linux agent: [openlogic] name=CentOS-$releasever - openlogic packages for $basearch @@ -268,7 +268,7 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe enabled=0 gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 - [!Note] + >[!Note] The rest of this guide will assume you are using at least the `[openlogic]` repo, which will be used to install the Azure Linux agent below. 7. Run the following command to clear the current yum metadata and install any updates: @@ -281,7 +281,7 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe A reboot maybe required after running this command. -8. Modify the kernel boot line in your grub configuration to include additional kernel parameters for Azure. To do this, open "/etc/default/grub" in a text editor and edit the `GRUB_CMDLINE_LINUX` parameter, for example: +8. Modify the kernel boot line in your grub configuration to include additional kernel parameters for Azure. To do this, open `/etc/default/grub` in a text editor and edit the `GRUB_CMDLINE_LINUX` parameter, for example: GRUB_CMDLINE_LINUX="rootdelay=300 console=ttyS0 earlyprintk=ttyS0 net.ifnames=0" @@ -291,7 +291,7 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe Graphical and quiet boot are not useful in a cloud environment where we want all the logs to be sent to the serial port. The `crashkernel` option may be left configured if desired, but note that this parameter will reduce the amount of available memory in the VM by 128MB or more, which may be problematic on the smaller VM sizes. -9. Once you are done editing "/etc/default/grub" per above, run the following command to rebuild the grub configuration: +9. Once you are done editing `/etc/default/grub` per above, run the following command to rebuild the grub configuration: # sudo grub2-mkconfig -o /boot/grub2/grub.cfg @@ -312,7 +312,7 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe 12. Do not create swap space on the OS disk. - The Azure Linux Agent can automatically configure swap space using the local resource disk that is attached to the VM after provisioning on Azure. Note that the local resource disk is a *temporary* disk, and might be emptied when the VM is deprovisioned. After installing the Azure Linux Agent (see previous step), modify the following parameters in /etc/waagent.conf appropriately: + The Azure Linux Agent can automatically configure swap space using the local resource disk that is attached to the VM after provisioning on Azure. Note that the local resource disk is a *temporary* disk, and might be emptied when the VM is deprovisioned. After installing the Azure Linux Agent (see previous step), modify the following parameters in `/etc/waagent.conf` appropriately: ResourceDisk.Format=y ResourceDisk.Filesystem=ext4 From 7e77858b36d07049333422d4454c29a9e1acb748 Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Fri, 3 Feb 2017 12:20:42 -0800 Subject: [PATCH 73/90] Minor edits to linux-create-upload-ubuntu --- .../virtual-machines-linux-create-upload-ubuntu.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/articles/virtual-machines/virtual-machines-linux-create-upload-ubuntu.md b/articles/virtual-machines/virtual-machines-linux-create-upload-ubuntu.md index 975e47ee29dec..fd5dd0bc10291 100644 --- a/articles/virtual-machines/virtual-machines-linux-create-upload-ubuntu.md +++ b/articles/virtual-machines/virtual-machines-linux-create-upload-ubuntu.md @@ -51,7 +51,7 @@ This article assumes that you have already installed an Ubuntu Linux operating s 3. Replace the current repositories in the image to use Ubuntu's Azure repos. The steps vary slightly depending on the Ubuntu version. - Before editing /etc/apt/sources.list, it is recommended to make a backup: + Before editing `/etc/apt/sources.list`, it is recommended to make a backup: # sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak @@ -98,16 +98,16 @@ This article assumes that you have already installed an Ubuntu Linux operating s # sudo reboot - See also: + **See also:** - [https://wiki.ubuntu.com/Kernel/LTSEnablementStack](https://wiki.ubuntu.com/Kernel/LTSEnablementStack) - [https://wiki.ubuntu.com/Kernel/RollingLTSEnablementStack](https://wiki.ubuntu.com/Kernel/RollingLTSEnablementStack) -5. Modify the kernel boot line for Grub to include additional kernel parameters for Azure. To do this open "/etc/default/grub" in a text editor, find the variable called `GRUB_CMDLINE_LINUX_DEFAULT` (or add it if needed) and edit it to include the following parameters: +5. Modify the kernel boot line for Grub to include additional kernel parameters for Azure. To do this open `/etc/default/grub` in a text editor, find the variable called `GRUB_CMDLINE_LINUX_DEFAULT` (or add it if needed) and edit it to include the following parameters: GRUB_CMDLINE_LINUX_DEFAULT="console=tty1 console=ttyS0,115200n8 earlyprintk=ttyS0,115200 rootdelay=300" - Save and close this file, and then run "`sudo update-grub`". This will ensure all console messages are sent to the first serial port, which can assist Azure technical support with debugging issues. + Save and close this file, and then run `sudo update-grub`. This will ensure all console messages are sent to the first serial port, which can assist Azure technical support with debugging issues. 6. Ensure that the SSH server is installed and configured to start at boot time. This is usually the default. @@ -121,9 +121,9 @@ This article assumes that you have already installed an Ubuntu Linux operating s 8. Run the following commands to deprovision the virtual machine and prepare it for provisioning on Azure: - # sudo waagent -force -deprovision - # export HISTSIZE=0 - # logout + # sudo waagent -force -deprovision + # export HISTSIZE=0 + # logout 9. Click **Action -> Shut Down** in Hyper-V Manager. Your Linux VHD is now ready to be uploaded to Azure. From cb1c9734ef7745274095e5b3840698a76045bc91 Mon Sep 17 00:00:00 2001 From: Ryan Wike Date: Fri, 3 Feb 2017 12:23:54 -0800 Subject: [PATCH 74/90] freshness updates --- ...ervice-fabric-connect-to-secure-cluster.md | 26 ++++++++----------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/articles/service-fabric/service-fabric-connect-to-secure-cluster.md b/articles/service-fabric/service-fabric-connect-to-secure-cluster.md index 8365a254f825d..9ce8c3b40e49c 100644 --- a/articles/service-fabric/service-fabric-connect-to-secure-cluster.md +++ b/articles/service-fabric/service-fabric-connect-to-secure-cluster.md @@ -1,5 +1,5 @@ --- -title: Authenticate client access to a cluster | Microsoft Docs +title: Connect securely to an Azure Service Fabric cluster | Microsoft Docs description: Describes how to authenticate client access to a Service Fabric cluster and how to secure communication between clients and a cluster. services: service-fabric documentationcenter: .net @@ -13,7 +13,7 @@ ms.devlang: dotnet ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 11/11/2016 +ms.date: 02/03/2017 ms.author: ryanwi --- @@ -104,7 +104,7 @@ Connect-ServiceFabricCluster -ConnectionEndpoint clustername.westus.cloudapp.azu ## Connect to a cluster using the FabricClient APIs -The Service Fabric SDK provides the [FabricClient](https://msdn.microsoft.com/library/system.fabric.fabricclient.aspx) class for cluster management. +The Service Fabric SDK provides the [FabricClient](https://docs.microsoft.com/dotnet/api/system.fabric.fabricclient) class for cluster management. To use the FabricClient APIs, get the Microsoft.ServiceFabric NuGet package. ### Connect to an unsecure cluster @@ -122,9 +122,12 @@ FabricClient fabricClient = new FabricClient(); ### Connect to a secure cluster using a client certificate -The nodes in the cluster must have valid certificates whose common name or DNS name in SAN appears in the [RemoteCommonNames property](https://msdn.microsoft.com/library/azure/system.fabric.x509credentials.remotecommonnames.aspx) set on [FabricClient](https://msdn.microsoft.com/library/system.fabric.fabricclient.aspx). Following this process enables mutual authentication between the client and the cluster nodes. +The nodes in the cluster must have valid certificates whose common name or DNS name in SAN appears in the [RemoteCommonNames property](https://docs.microsoft.com/dotnet/api/system.fabric.x509credentials#System_Fabric_X509Credentials_RemoteCommonNames) set on [FabricClient](https://docs.microsoft.com/dotnet/api/system.fabric.fabricclient). Following this process enables mutual authentication between the client and the cluster nodes. ```csharp +using System.Fabric; +using System.Security.Cryptography.X509Certificates; + string clientCertThumb = "71DE04467C9ED0544D021098BCD44C71E183414E"; string serverCertThumb = "A8136758F4AB8962AF2BF3F27921BE1DF67F4326"; string CommonName = "www.clustername.westus.azure.com"; @@ -143,22 +146,15 @@ catch (Exception e) Console.WriteLine("Connect failed: {0}", e.Message); } -... - static X509Credentials GetCredentials(string clientCertThumb, string serverCertThumb, string name) { - var xc = new X509Credentials(); - - // Client certificate + X509Credentials xc = new X509Credentials(); xc.StoreLocation = StoreLocation.CurrentUser; - xc.StoreName = "MY"; + xc.StoreName = "My"; xc.FindType = X509FindType.FindByThumbprint; - xc.FindValue = thumb; - - // Server certificate - xc.RemoteCertThumbprints.Add(thumb); + xc.FindValue = clientCertThumb; xc.RemoteCommonNames.Add(name); - + xc.RemoteCertThumbprints.Add(serverCertThumb); xc.ProtectionLevel = ProtectionLevel.EncryptAndSign; return xc; } From 54c577eeb5c0b717795d403e4001b9b00a29f8ff Mon Sep 17 00:00:00 2001 From: curtand Date: Fri, 3 Feb 2017 12:29:43 -0800 Subject: [PATCH 75/90] New B2B preview articles added --- articles/active-directory/TOC.md | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/articles/active-directory/TOC.md b/articles/active-directory/TOC.md index 9f85c1b2b81bb..862333849866f 100644 --- a/articles/active-directory/TOC.md +++ b/articles/active-directory/TOC.md @@ -209,14 +209,15 @@ #### [FAQs](active-directory-windows-enterprise-state-roaming-faqs.md) #### [Troubleshoot](active-directory-windows-enterprise-state-roaming-troubleshooting.md) ### [Integrate partners with Azure AD B2B](active-directory-b2b-what-is-azure-ad-b2b.md) -#### [Overview](active-directory-b2b-collaboration-overview.md) -#### [How it works](active-directory-b2b-how-it-works.md) -#### [Compare capabilities](active-directory-b2b-compare-external-identities.md) -#### [Walkthrough](active-directory-b2b-detailed-walkthrough.md) -#### [Limitations](active-directory-b2b-current-preview-limitations.md) -#### [CSV file format](active-directory-b2b-references-csv-file-format.md) -#### [User objects](active-directory-b2b-references-external-user-object-attribute-changes.md) -#### [User tokens](active-directory-b2b-references-external-user-token-format.md) +#### [Admins adding B2B users](active-directory-b2b-admin-add-users.md) +#### [Information workers adding B2B users](active-directory-b2b-how-it-works.md) +#### [Invitation email](active-directory-b2b-invitation-email.md) +#### [Invitation redemption](active-directory-b2b-redemption-experience.md) +#### [Licensing](active-directory-b2b-licensing.md) +#### [Troubleshooting B2B](active-directory-b2b-troubleshooting.md) +#### [FAQ](active-directory-b2b-faq.md) +#### [API and customization](active-directory-b2b-api.md) +#### [Multi-factor authentication for B2B](active-directory-b2b-mfa-instructions.md) ### [Integrate on-premises identities using Azure AD Connect](./connect/active-directory-aadconnect.md) From eff605d7a3c493e5797bc9c3c805c103828c93e3 Mon Sep 17 00:00:00 2001 From: curtand Date: Fri, 3 Feb 2017 12:34:23 -0800 Subject: [PATCH 76/90] customer feedbak incorped --- articles/active-directory/active-directory-b2b-faq.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/active-directory/active-directory-b2b-faq.md b/articles/active-directory/active-directory-b2b-faq.md index 984af8acee54f..60510df2fcfbe 100644 --- a/articles/active-directory/active-directory-b2b-faq.md +++ b/articles/active-directory/active-directory-b2b-faq.md @@ -57,7 +57,7 @@ Some organizations want to add B2B collaboration users, provision them to applic Your organization might have added contacts representing external collaborators so that they show up in the Global Address List and as email address suggestions during email composition. You might be wondering what happens when you now add these same collaborators as B2B collaboration users in the directory, right? In a future release, B2B collaboration users and your contact objects will be able to co-exist in your company directory. Stay tuned for our announcements! ### Can I make my guest users limited admins? -Absolutely. If this is what your organization needs, find out how in [Adding guest users to a role](active-directory-users-assign-role-azure-portal). +Absolutely. If this is what your organization needs, find out how in [Adding guest users to a role](active-directory-users-assign-role-azure-portal.md). ### Does Azure AD B2B collaboration support permitting B2B users to access the Azure portal? B2B collaboration users should not need to access the Azure portal unless they are assigned a limited administrator or global administrator role. In this case, they can access the portal. If a guest user who is not in these roles accesses the portal, then he/she may be able to access certain parts of the experience because the Guest user role has certain permissions in the directory as described in previous sections. @@ -68,7 +68,7 @@ You can block access to the [Azure portal](https://portal.azure.com) by guest us 1. Modify the **All Users** group to only contain Members ![](media/active-directory-b2b-faq/modify-all-users-group.png) 2. Create a dynamic group that contains Guest users - ![](media/active-directory-b2b-faq/image15.png) + ![](media/active-directory-b2b-faq/group-with-guest-users.png) 3. Set up a conditional access policy to block guest users from accessing the portal, as shown in the following video. >[!VIDEO https://channel9.msdn.com/Blogs/Azure/b2b-block-guest-user] From 50da4b0f0eaf596fb311a87e9920822ba07545b8 Mon Sep 17 00:00:00 2001 From: TerryLanfear Date: Fri, 3 Feb 2017 12:46:23 -0800 Subject: [PATCH 77/90] new articles for left nav --- articles/security-center/TOC.md | 4 ++++ articles/security/TOC.md | 4 ++-- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/articles/security-center/TOC.md b/articles/security-center/TOC.md index 89c6dd1d5af41..63e2e02d14011 100644 --- a/articles/security-center/TOC.md +++ b/articles/security-center/TOC.md @@ -21,11 +21,13 @@ ### [Application recommendations](security-center-application-recommendations.md) #### [Add a web application firewall](security-center-add-web-application-firewall.md) +#### [Finalize application protection](security-center-add-web-application-firewall.md#finalize-application-protection) ### [Network recommendations](security-center-network-recommendations.md) #### [Add a next generation firewall](security-center-add-next-generation-firewall.md) #### [Enable Network Security Groups](security-center-enable-network-security-groups.md) #### [Restrict access through Internet-facing endpoints](security-center-restrict-access-through-internet-facing-endpoints.md) +#### [Route traffic through NGFW only](security-center-add-next-generation-firewall.md#route-traffic-through-ngfw-only) ### [SQL service recommendations](security-center-sql-service-recommendations.md) #### [Enable auditing on SQL databases](security-center-enable-auditing-on-sql-databases.md) @@ -36,9 +38,11 @@ #### [Apply disk encryption](security-center-apply-disk-encryption.md) #### [Apply system updates](security-center-apply-system-updates.md) #### [Enable data collection](security-center-enable-data-collection.md) +#### [Enable encryption for storage account](security-center-enable-encryption-for-storage-account.md) #### [Enable VM Agent](security-center-enable-vm-agent.md) #### [Install Endpoint Protection](security-center-install-endpoint-protection.md) #### [Provide security contact details](security-center-provide-security-contact-details.md) +#### [Reboot after system updates](security-center-apply-system-updates.md#reboot-after-system-updates) #### [Remediate OS vulnerabilities](security-center-remediate-os-vulnerabilities.md) #### [Resolve endpoint protection health alerts](security-center-resolve-endpoint-protection-health-alerts.md) #### [Update OS version](security-center-update-os-version.md) diff --git a/articles/security/TOC.md b/articles/security/TOC.md index aa1da2bbbfb69..1d47570da2ee0 100644 --- a/articles/security/TOC.md +++ b/articles/security/TOC.md @@ -24,8 +24,8 @@ ### [Identity management security best practices](azure-security-identity-management-best-practices.md) ## PaaS services ### [Securing PaaS deployments](security-paas-deployments.md) -### [Securing PaaS applications using SQL](security-paas-applications-using-sql.md) -### [Securing PaaS applications using App Services](security-paas-applications-using-app-services.md) +#### [Securing PaaS applications using SQL](security-paas-applications-using-sql.md) +#### [Securing PaaS applications using App Services](security-paas-applications-using-app-services.md) ### [IoT security overview](security-internet-of-things-overview.md) ### [IoT security best practices](azure-security-iot-best-practices.md) ## Vertical industries From 1d4d27812b1c7cadbc70c3ede8fb10dfdc86b0ea Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Fri, 3 Feb 2017 12:51:49 -0800 Subject: [PATCH 78/90] Tiny [!Note] fix --- .../virtual-machines-linux-create-upload-centos.md | 1 - 1 file changed, 1 deletion(-) diff --git a/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md b/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md index 1983a2278eaf4..33f13bdeebeb0 100644 --- a/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md +++ b/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md @@ -120,7 +120,6 @@ This article assumes that you have already installed a CentOS (or similar deriva enabled=0 gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 - >[!Note] The rest of this guide will assume you are using at least the `[openlogic]` repo, which will be used to install the Azure Linux agent below. From 7a72b08694a95342d7ed9e261b26d5074c7c7e60 Mon Sep 17 00:00:00 2001 From: ArnoMicrosoft Date: Fri, 3 Feb 2017 12:52:38 -0800 Subject: [PATCH 79/90] Update documentdb-key-value-store-cost.md --- articles/documentdb/documentdb-key-value-store-cost.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/documentdb/documentdb-key-value-store-cost.md b/articles/documentdb/documentdb-key-value-store-cost.md index c54e4caa09ba6..8e36c3b8b5c9c 100644 --- a/articles/documentdb/documentdb-key-value-store-cost.md +++ b/articles/documentdb/documentdb-key-value-store-cost.md @@ -28,7 +28,7 @@ This article describes the cost of DocumentDB for simple write and read operatio ## Why we use Request Units (RUs) -DocumentDB performance is based on the amount of provisioned [Request Units](documentdb-programming.md) (RU) for the partition. The provisioning is at a second granularity and is purchased in RUs/sec ([not to be confused with the hourly billing](https://azure.microsoft.com/pricing/details/documentdb/)). RUs should be considered a currency that simplifies the provisioning of required throughput for the application. Our customers do not have to think of differentiating between read and write capacity units. The single currency model of RUs creates efficiencies to share the provisioned capacity between reads and writes. This provisioned capacity model enables the service to provide a predictable and consistent throughput, guaranteed low latency, and high availability. Finally, we use RU to model throughput but each provisionned RU has also a defined amount of resources (Memory, Core). RU/sec is not only IOPS. +DocumentDB performance is based on the amount of provisioned [Request Units](documentdb-programming.md) (RU) for the partition. The provisioning is at a second granularity and is purchased in RUs/sec ([not to be confused with the hourly billing](https://azure.microsoft.com/pricing/details/documentdb/)). RUs should be considered a currency that simplifies the provisioning of required throughput for the application. Our customers do not have to think of differentiating between read and write capacity units. The single currency model of RUs creates efficiencies to share the provisioned capacity between reads and writes. This provisioned capacity model enables the service to provide a predictable and consistent throughput, guaranteed low latency, and high availability. Finally, we use RU to model throughput but each provisioned RU has also a defined amount of resources (Memory, Core). RU/sec is not only IOPS. As a globally distributed database system, DocumentDB is the only Azure service that provides an SLA on latency, throughput, and consistency in addition to high availability. The throughput you provision is applied to each of the regions associated with your DocumentDB database account. For reads, DocumentDB offers multiple, well-defined [consistency levels](documentdb-consistency-levels.md) for you to choose from. From 5d0cd80fa2d9b7c5af11a82c41171b6345b5a52f Mon Sep 17 00:00:00 2001 From: curtand Date: Fri, 3 Feb 2017 13:03:02 -0800 Subject: [PATCH 80/90] customer feedback incorped --- .../active-directory/active-directory-b2b-mfa-instructions.md | 1 + 1 file changed, 1 insertion(+) diff --git a/articles/active-directory/active-directory-b2b-mfa-instructions.md b/articles/active-directory/active-directory-b2b-mfa-instructions.md index 2ce1be147672f..d5beca60765ec 100644 --- a/articles/active-directory/active-directory-b2b-mfa-instructions.md +++ b/articles/active-directory/active-directory-b2b-mfa-instructions.md @@ -37,6 +37,7 @@ To discover how easy it is to set up MFA for B2B collaboration users, see how in >[!VIDEO https://channel9.msdn.com/Blogs/Azure/b2b-conditional-access-setup] + If this video does not appear embedded, you can reach it [here](https://channel9.msdn.com/Blogs/Azure/b2b-conditional-access-setup). ## B2B users MFA experience for offer redemption Check out the animation below to see the redemption experience, as shown in the following video: From 82ac3feb64c688a372d2b6d41a259d7126df44c1 Mon Sep 17 00:00:00 2001 From: Mimi Gentz Date: Fri, 3 Feb 2017 15:03:09 -0600 Subject: [PATCH 81/90] Freshness update. --- articles/documentdb/documentdb-sql-query-cheat-sheet.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/documentdb/documentdb-sql-query-cheat-sheet.md b/articles/documentdb/documentdb-sql-query-cheat-sheet.md index 6104024646872..eb80046388143 100644 --- a/articles/documentdb/documentdb-sql-query-cheat-sheet.md +++ b/articles/documentdb/documentdb-sql-query-cheat-sheet.md @@ -14,7 +14,7 @@ ms.workload: data-services ms.tgt_pltfrm: na ms.devlang: na ms.topic: article -ms.date: 10/26/2016 +ms.date: 02/03/2017 ms.author: mimig --- From 9e3f983080c7433035fdde18cdf0350aa3e524e0 Mon Sep 17 00:00:00 2001 From: mumian Date: Fri, 3 Feb 2017 16:27:29 -0500 Subject: [PATCH 82/90] resize image --- 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z!Z~h*_U5TGv1n+fjKJahz$ew~JdFS#iX05-cqv9zYo6%#Hu7u;xsvQ*gaG^`{ zmD|mvfhk*c0o$90jU})~l@?M8`Fu-VJ#z|3UA2Pouy9OWu2>IuX4F&poR>evf?cTtepA7{{aciVv7I( From 3154444f62621f6f732c8956650908539b0a2e79 Mon Sep 17 00:00:00 2001 From: TerryLanfear Date: Fri, 3 Feb 2017 13:41:33 -0800 Subject: [PATCH 83/90] fix per editor --- ...ity-center-remediate-os-vulnerabilities.md | 24 +++++++++---------- 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/articles/security-center/security-center-remediate-os-vulnerabilities.md b/articles/security-center/security-center-remediate-os-vulnerabilities.md index b071e31d3f76e..84208d10eec38 100644 --- a/articles/security-center/security-center-remediate-os-vulnerabilities.md +++ b/articles/security-center/security-center-remediate-os-vulnerabilities.md @@ -40,24 +40,24 @@ Azure Security Center analyzes daily your virtual machine (VM) operating system * Resolved: The vulnerability was already addressed (when the issue has been resolved, the entry is grayed out) * **SEVERITY** -- All vulnerabilities are set to a severity of Low, meaning a vulnerability should be addressed but does not require immediate attention. -Select a VM. A blade for that VM opens and displays the rules that have failed. +2. Select a VM. A blade for that VM opens and displays the rules that have failed. ![Configuration rules that have failed][2] -Select a rule. In this example, lets select **Password must meet complexity requirements**. A blade opens describing the failed rule and the impact. Review the details and consider how operating system configurations will be applied. +3. Select a rule. In this example, lets select **Password must meet complexity requirements**. A blade opens describing the failed rule and the impact. Review the details and consider how operating system configurations will be applied. ![Description for the failed rule][3] Security Center uses Common Configuration Enumeration (CCE) to assign unique identifiers for configuration rules. The following information is provided on this blade: -* NAME -- Name of rule -* SEVERITY -- CCE severity value of critical, important, or warning -* CCIED -- CCE unique identifier for the rule -* DESCRIPTION -- Description of rule -* VULNERABILITY -- Explanation of vulnerability or risk if rule is not applied -* IMPACT -- Business impact when rule is applied -* EXPECTED VALUE -- Value expected when Security Center analyzes your VM OS configuration against the rule -* RULE OPERATION -- Rule operation used by Security Center during analysis of your VM OS configuration against the rule -* ACTUAL VALUE -- Value returned after analysis of your VM OS configuration against the rule -* EVALUATION RESULT –- Result of analysis: Pass, Fail + - NAME -- Name of rule + - SEVERITY -- CCE severity value of critical, important, or warning + - CCIED -- CCE unique identifier for the rule + - DESCRIPTION -- Description of rule + - VULNERABILITY -- Explanation of vulnerability or risk if rule is not applied + - IMPACT -- Business impact when rule is applied + - EXPECTED VALUE -- Value expected when Security Center analyzes your VM OS configuration against the rule + - RULE OPERATION -- Rule operation used by Security Center during analysis of your VM OS configuration against the rule + - ACTUAL VALUE -- Value returned after analysis of your VM OS configuration against the rule + - EVALUATION RESULT –- Result of analysis: Pass, Fail ## See also This article showed you how to implement the Security Center recommendation "Remediate OS vulnerabilities." You can review the set of configuration rules [here](https://gallery.technet.microsoft.com/Azure-Security-Center-a789e335). Security Center uses CCE (Common Configuration Enumeration) to assign unique identifiers for configuration rules. Visit the [CCE](http://cce.mitre.org) site for more information. From fdb15c3af4980e284e1a9effe434b1cab959d24c Mon Sep 17 00:00:00 2001 From: Todd Abel Date: Fri, 3 Feb 2017 13:50:33 -0800 Subject: [PATCH 84/90] fixed issues --- .../service-fabric-diagnostics-overview.md | 69 ++++++++++--------- 1 file changed, 35 insertions(+), 34 deletions(-) diff --git a/articles/service-fabric/service-fabric-diagnostics-overview.md b/articles/service-fabric/service-fabric-diagnostics-overview.md index 1c3242d25b1be..fe35d39de64f7 100644 --- a/articles/service-fabric/service-fabric-diagnostics-overview.md +++ b/articles/service-fabric/service-fabric-diagnostics-overview.md @@ -19,48 +19,48 @@ ms.author: toddabel --- # Monitor and diagnose Azure Service Fabric applications -Monitoring, detecting, diagnosing, and troubleshooting allow for services to continue with minimal disruption to the user experience, providing business insights, monitoring resource usage, detecting hardware and software failures or performance issues and diagnosing potential service behavior issues. While monitoring and diagnostics are critical in an actual deployed production environment, the efficacy will depend on adopting a similar model during development of services to ensure they work when you move to a real-world setup. Service Fabric makes it easy for service developers to implement diagnostics that can seamlessly work across both single-machine local development setups and real-world production cluster setups. +Monitoring, detecting, diagnosing, and troubleshooting allow for services to continue with minimal disruption to the user experience, providing business insights, monitoring resource usage, detecting hardware and software failures or performance issues and diagnosing potential service behavior issues. While monitoring and diagnostics are critical in an actual deployed production environment, the efficacy depends on adopting a similar model during development of services to ensure they work when you move to a real-world setup. Service Fabric makes it easy for service developers to implement diagnostics that can seamlessly work across both single-machine local development setups and real-world production cluster setups. Monitoring is a broad term that encompasses instrumenting the code, collecting the instrumentation logs, analyzing the logs, visualizing insights based on the log data, alerting based on log values and insights, monitoring the infrastructure and allowing engineers to detect and diagnose issues that affect their customers. This article is intended to provide an overview of monitoring for Service Fabric clusters hosted in Azure or on premises, deployed on Windows or Linux using .NET. Let's start by dividing the problem into three parts - Instrument code or infrastructure - Collection of generated events -- Storage, aggregation, visualization and Analysis +- Storage, aggregation, visualization, and Analysis -While there are some products that cover all three aspects, many customers choose different technologies for each area. It is important that each plugs together to deliver an end to end monitoring solution for the application. +While there are some products that cover all three aspects, many customers choose different technologies for each area. It is important that each plug together to deliver an end to end monitoring solution for the application. ## Monitoring infrastructure -While Service Fabric helps to keep an application running even during infrastructure failures, the application operators need to understand if an error is occurring within their application or is due to a fault in the underlying infrastructure. Monitoring of the infrastructure is also needed for capacity planning to know when to add or remove infrastructure. Both the infrastructure and the application that compose a Service Fabric deployment are important to monitor and troubleshoot, though as long as the application is available to customers, some of the infrastructure could be having issues. +While Service Fabric helps to keep an application running during infrastructure failures, the application operators need to understand if an error is occurring within the application or the underlying infrastructure. Monitoring of the infrastructure is also needed for capacity planning to know when to add or remove infrastructure. Both the infrastructure and the application that compose a Service Fabric deployment are important to monitor and troubleshoot. As long as the application is available to customers, some of the infrastructure could be having issues. ### Azure Monitoring -For Azure deployed clusters, [Azure Monitoring](../monitoring-and-diagnostics/toc.md) gives the ability to monitor many of the Azure resources on which a Service Fabric cluster are built. A set of metrics is automatically collected and displayed in the Azure portal for the [Virtual Machine Scale Set (VMSS)](../monitoring-and-diagnostics/monitoring-supported-metrics.md#microsoftcomputevirtualmachinescalesets) and individual [VMs](../monitoring-and-diagnostics/monitoring-supported-metrics.md#microsoftcomputevirtualmachinescalesetsvirtualmachines). This information can be viewed in the Azure portal by selecting the resource group that the Service Fabric cluster is contained within and choosing the VMSS to view. Then choose Metrics within the Monitoring navigation section to view a graph of the values +For Azure deployed clusters, [Azure Monitoring](../monitoring-and-diagnostics/toc.md) gives the ability to monitor many of the Azure resources on which a Service Fabric cluster is built. A set of metrics is automatically collected and displayed in the Azure portal for the [Virtual Machine Scale Set (VMSS)](../monitoring-and-diagnostics/monitoring-supported-metrics.md#microsoftcomputevirtualmachinescalesets) and individual [VMs](../monitoring-and-diagnostics/monitoring-supported-metrics.md#microsoftcomputevirtualmachinescalesetsvirtualmachines). This information can be viewed in the Azure portal by selecting the resource group that the Service Fabric cluster is contained within and choosing the VMSS to view. Then choose Metrics within the Monitoring navigation section to view a graph of the values ![Azure portal view of collected metric information](./media/service-fabric-diagnostics-overview/azure-monitoring-metrics.png) The charts can be customized by following the instructions in the article [Overview of Metrics in Microsoft Azure](../monitoring-and-diagnostics/insights-how-to-customize-monitoring.md). Alerts can also be created based on these metrics as described in the article [Use Azure portal to create alerts for Azure services](../monitoring-and-diagnostics/insights-alerts-portal.md). Alerts can be sent to a notification service using web hooks as described in the article [Configure a web hook on an Azure metric alert(../monitoring-and-diagnostics/insights-webhooks-alerts.md). Azure Monitoring supports a single subscription. If support for multiple subscriptions is needed or additional features are needed, [Log Analytics](https://azure.microsoft.com/documentation/services/log-analytics/) part of [Operations Management Suite](https://www.microsoft.com/cloud-platform/operations-management-suite) provides a holistic IT management solution for both on-premises and cloud-based infrastructure. Data from Azure Monitoring can be routed directly to Log Analytics so you can see metrics and logs for your entire environment in a single place. -[Operations Management Suite](https://www.microsoft.com/cloud-platform/operations-management-suite) is the recommended method for monitoring your on premise infrastructure, but any existing solution that your company uses for infrastructure monitoring can also be used. +[Operations Management Suite](https://www.microsoft.com/cloud-platform/operations-management-suite) is the recommended method for monitoring your on-premise infrastructure, but any existing solution that your company uses for infrastructure monitoring can also be used. ### Service Fabric Support Logs -If you should need to contact Microsoft support for help with your Azure Service Fabric Cluster, support logs are almost always required. If your cluster is hosted within Azure, these logs are automatically configured and collected as part of creating a cluster. The logs are stored in a dedicated storage account that can be seen in your cluster's resource group. There is no fixed name to the storage account, but within the account you'll see blob containers and tables starting with 'fabric'. If your cluster is a standalone cluster, you should configure collection of these logs following the guidance in [Create and manage a standalone Azure Service Fabric cluster](service-fabric-cluster-creation-for-windows-server.md) and [Configuration settings for standalone Windows cluster](service-fabric-cluster-manifest.md). For standalone Service Fabric, the logs should be sent to a local file share. You are **required** to have these logs for support, but they are not intended to use usable by anyone outside of the Microsoft customer support team. Using my best Obi Wan Kenobi impression, these are not the logs you are interested in... +If you should need to contact Microsoft support for help with your Azure Service Fabric Cluster, support logs are almost always required. If your cluster is hosted within Azure, these logs are automatically configured and collected as part of creating a cluster. The logs are stored in a dedicated storage account that can be seen in your cluster's resource group. There is no fixed name to the storage account, but within the account you see blob containers and tables starting with 'fabric'. If your cluster is a standalone cluster, you should configure collection of these logs following the guidance in [Create and manage a standalone Azure Service Fabric cluster](service-fabric-cluster-creation-for-windows-server.md) and [Configuration settings for standalone Windows cluster](service-fabric-cluster-manifest.md). For standalone Service Fabric, the logs should be sent to a local file share. You are **required** to have these logs for support, but they are not intended to use usable by anyone outside of the Microsoft customer support team. Using my best Obi Wan Kenobi impression, these are not the logs you are interested in... ## Instrument your code -Instrumenting the code is the basis for most other aspects of monitoring your services. It is often surprising to people how much instrumentation you will need, but considering that this instrumentation is the only way you have of knowing something is wrong and to diagnose what needs to be fixed, it shouldn't be. While it is technically possible to do, it is very unusual to connect a debugger to a production service, so having detailed instrumentation data is extremely important. When producing this volume of information shipping all events off the local node can be very expensive. Many services use a two-part strategy for dealing with the volume of instrumentation data: +Instrumenting the code is the basis for most other aspects of monitoring your services. It is often surprising to people how much instrumentation is needed, but considering that this instrumentation is the only way you have of knowing something is wrong and to diagnose what needs to be fixed, it shouldn't be. While it is technically possible to do, it is unusual to connect a debugger to a production service, so having detailed instrumentation data is important. When producing this volume of information shipping all events off the local node can be expensive. Many services use a two-part strategy for dealing with the volume of instrumentation data: * All events are kept in local rolling log file for a short interval of days and only collected when needed for debugging. Typically the events needed for detailed diagnosis are left on the node to reduce costs and resource utilization * Any events indicating service health such as error events, heart beat events or performance events are sent to a central repository where they can be used to raise alerts of an unhealthy service. -There are solution that will automatically instrument your code. While these products can work well, manual instrumentation is almost always needed. In the end, you must have enough information to forensically debug the application. The next sections describe different approaches for instrumenting your code and when you should choose one over another. +There are solutions that automatically instrument your code. While these products can work well, manual instrumentation is almost always needed. In the end, you must have enough information to forensically debug the application. The next sections describe different approaches for instrumenting your code and when you should choose one over another. ### EventSource -When you create an Azure Service Fabric solution from a template in Visual Studio, an EventSource derived class (*ServiceEventSource* or *ActorEventSource*) is generated. This provides a template to which you can add additional events appropriate for your application or service. The EventSource name **must** be unique and should be renamed from the starting string of 'MyCompany-<solution>-<project>'. Having multiple EventSource definitions using the same name will cause an issue at runtime. Each defined event must have a unique identifier. If an identifer is not unique a runtime failure will occur. Often ranges of values are pre-assigned for identifiers to avoid conflicts between separate development teams. For additional information on EventSource take a look at [Vance's blog](https://blogs.msdn.microsoft.com/vancem/2012/07/09/introduction-tutorial-logging-etw-events-in-c-system-diagnostics-tracing-eventsource/) or the [MSDN documentation](https://msdn.microsoft.com/library/dn774985(v=pandp.20).aspx). +When you create an Azure Service Fabric solution from a template in Visual Studio, an EventSource derived class (*ServiceEventSource* or *ActorEventSource*) is generated. This provides a template to which you can add additional events appropriate for your application or service. The EventSource name **must** be unique and should be renamed from the starting string of 'MyCompany-<solution>-<project>'. Having multiple EventSource definitions using the same name causes an issue at runtime. Each defined event must have a unique identifier. If an identifer is not unique a runtime failure occurs. Often ranges of values are pre-assigned for identifiers to avoid conflicts between separate development teams. For additional information on EventSource take a look at [Vance's blog](https://blogs.msdn.microsoft.com/vancem/2012/07/09/introduction-tutorial-logging-etw-events-in-c-system-diagnostics-tracing-eventsource/) or the [MSDN documentation](https://msdn.microsoft.com/library/dn774985(v=pandp.20).aspx). #### Using structured EventSource events -Each of the events below is defined for a specific case, a service type was registered for example. Having messages defined in this way allows data to be packaged along with the text of the error. This allows for better searching and filtering based on the names or values of the properties specified. Structuring the instrumentation output makes it easier to consume, but requires more thought and time to define a new event for each use case. Some event definitions can be shared across the entire application, e.g. a method start or stop event would be reused across many services within an application. A domain-specific service, such as an order system, may have a CreateOrder event, which will have its own unique event. Often this approach generates lots of events and potentially requires coordination of identifiers across project teams. For an more complete example of structure EventSources in Service Fabric look at the PartyCluster.ApplicationDeployService within the Party Cluster sample. +Each of the following events is defined for a specific case, a service type was registered for example. Having messages defined in this way allows data to be packaged along with the text of the error. This allows for better searching and filtering based on the names or values of the properties specified. Structuring the instrumentation output makes it easier to consume, but requires more thought and time to define a new event for each use case. Some event definitions can be shared across the entire application, for example, a method start or stop event would be reused across many services within an application. A domain-specific service, such as an order system, may have a CreateOrder event, which will have its own unique event. Often this approach generates lots of events and potentially requires coordination of identifiers across project teams. For a complete example of structure EventSources in Service Fabric look at the PartyCluster.ApplicationDeployService within the Party Cluster sample. ```csharp [EventSource(Name = "MyCompany-VotingState-VotingStateService")] @@ -91,7 +91,7 @@ Each of the events below is defined for a specific case, a service type was regi ``` #### Using EventSource generically -Because defining specific events can be difficult, many people define a small number of events with a common set of parameters that generally output their information as a string. Much of the structured aspect is lost, making it more difficult to search and filter the results. With this approach, a small number of events usually corresponding to the logging levels are defined. The snippet below defines a debug and error message. +Because defining specific events can be difficult, many people define few of events with a common set of parameters that generally output their information as a string. Much of the structured aspect is lost, making it more difficult to search and filter the results. With this approach, a few events usually corresponding to the logging levels are defined. The following snippet defines a debug and error message. ```csharp [EventSource(Name = "MyCompany-VotingState-VotingStateService")] internal sealed class ServiceEventSource : EventSource @@ -117,11 +117,11 @@ Because defining specific events can be difficult, many people define a small nu WriteEvent(ErrorEventId, error, msg); } ``` -Using a hybrid approach of both structured and generic instrumentation can also work well. In the case structured instrumentation is used for reporting errors and metrics, while generic events can be use for the detailed logging that is consumed by engineers when troubleshooting. +Using a hybrid approach of both structured and generic instrumentation can also work well. In the case structured instrumentation is used for reporting errors and metrics, while generic events can be used for the detailed logging that is consumed by engineers when troubleshooting. ### ASP.NET Core logging -Choosing how to instrument your code can be difficult, if you chose poorly and have to re-instrument, you are revisiting and potentially destabilizing your code base. To reduce the risk, developers can choose an instrumentation library such as [Microsoft.Extensions.Logging](https://www.nuget.org/packages/Microsoft.Extensions.Logging/) provided by ASP.NET Core. This provides an [ILogger](https://docs.microsoft.com/aspnet/core/api/microsoft.extensions.logging.ilogger) interface that allows the provider of your choice to be used while minimizing the impact to existing code. Another nice aspect of this is that the code can be used not only in .NET Core on Windows and Linux, but in the full framework too, giving the ability to standardize your instrumentation code across .NET and .NET Core. +Choosing how to instrument your code can be difficult, if you chose poorly and have to reinstrument, you are revisiting and potentially destabilizing your code base. To reduce the risk, developers can choose an instrumentation library such as [Microsoft.Extensions.Logging](https://www.nuget.org/packages/Microsoft.Extensions.Logging/) provided by ASP.NET Core. This provides an [ILogger](https://docs.microsoft.com/aspnet/core/api/microsoft.extensions.logging.ilogger) interface that allows the provider of your choice to be used while minimizing the impact to existing code. Another nice aspect of this is that the code can be used not only in .NET Core on Windows and Linux, but in the full framework too, giving the ability to standardize your instrumentation code across .NET and .NET Core. #### How to use Microsoft.Extensions.Logging within Service Fabric @@ -140,14 +140,14 @@ Choosing how to instrument your code can be difficult, if you chose poorly and h _logger.LogDebug("Debug level event from Microsoft.Logging"); _logger.LogInformation("Informational level event from Microsoft.Logging"); - // In this variant, we're adding structured properties RequestName and Duration that will have values MyRequest and the duration of the request. + // In this variant, we're adding structured properties RequestName and Duration that has values MyRequest and the duration of the request. // More on why you'll want to do this later. _logger.LogInformation("{RequestName} {Duration}", "MyRequest", requestDuration); ``` #### Using other logging providers -There are some third-party providers that work with this approach, [SeriLog](https://serilog.net/), [NLog](http://nlog-project.org/) and [loggr](https://github.com/imobile3/Loggr.Extensions.Logging) are three examples. Each of these can be plugged into ASP.Net Core Logging and can also be used separately. SeriLog has a feature that allows enrichment of all messages sent from a logger, which can be useful to output the service name, type, and partition information. To leverage this capability with in the ASP.NET Core infrastructure, perform the following +There are some third-party providers that work with this approach, [SeriLog](https://serilog.net/), [NLog](http://nlog-project.org/) and [loggr](https://github.com/imobile3/Loggr.Extensions.Logging) are three examples. Each of these can be plugged into ASP.Net Core Logging and can also be used separately. SeriLog has a feature that allows enrichment of all messages sent from a logger, which can be useful to output the service name, type, and partition information. To use this capability with in the ASP.NET Core infrastructure, perform the following 1. Add **Serilog**, **Serilog.Extensions.Logging**, **Serilog.Sinks.Observable** NuGet packages to the project. Also add **SeriLog.Sinks.Literate** for this example, a better approach is shown later in this article 2. Create a LoggerConfiguration and the logger instance in SeriLog @@ -158,7 +158,7 @@ There are some third-party providers that work with this approach, [SeriLog](htt ```csharp ServiceRuntime.RegisterServiceAsync("StatelessType", context => new Stateless(context, Log.Logger)).GetAwaiter().GetResult(); ``` -4. In the service constructor, add the following which creates the property enrichers for the ServiceTypeName, ServiceName, PartitionId and InstanceId properties of the service. It also adds it to the ASP.NET Core logging factory so the Microsoft.Extensions.Logging.ILogger can be used in your code. +4. In the service constructor, add the following, which creates the property enrichers for the ServiceTypeName, ServiceName, PartitionId, and InstanceId properties of the service. It also adds it to the ASP.NET Core logging factory so the Microsoft.Extensions.Logging.ILogger can be used in your code. ```csharp public Stateless(StatelessServiceContext context, Serilog.ILogger serilog) : base(context) @@ -179,34 +179,34 @@ There are some third-party providers that work with this approach, [SeriLog](htt 5. Instrument the code the same as when using ASP.NET Core without SeriLog. > [!NOTE] -> It is not recommended that the static Log.Logger be used with this approach because Service Fabric can host multiple instances of the same service type within a single process. This would mean that the last writer of the property enrichers would have their values shown for all instances running. This is one reason why the _logger variable is a private member variable of the service class. This also means that the _logger must be made available to common code that may be used across services. +> It is not recommended that the static Log.Logger is used with this approach because Service Fabric can host multiple instances of the same service type within a single process. This would mean that the last writer of the property enrichers would have their values shown for all instances running. This is one reason why the _logger variable is a private member variable of the service class. This also means that the _logger must be made available to common code that may be used across services. ### Which one should I use? -If your application cares deeply about performance, then EventSource is the best approach to use because it **generally** uses fewer resources and perform better than using ASP.NET Core logging or any of the third-party solutions. This isn't an issue for many services, but if your service is very performance oriented using EventSource may be a better choice. Of course, to get the same benefits of structured logging, EventSource requires a large investment from the engineering team. The best way to determine what to choose for your project is to do a quick prototype of what you would do for each approach and then choose the approach that best fits your needs. +If your application cares deeply about performance, then EventSource is the best approach to use because it **generally** uses fewer resources and perform better than using ASP.NET Core logging or any of the third-party solutions. This isn't an issue for many services, but if your service is performance oriented using EventSource may be a better choice. To get the same benefits of structured logging, EventSource requires a large investment from the engineering team. The best way to determine what to choose for your project is to do a quick prototype of what you would do for each approach and then choose the approach that best fits your needs. ## Event and log collection ### Azure Diagnostics -Beyond what Azure Monitoring already provides, Azure also provides a means of collecting events from each of the services to a central location. There are two articles that show how to configure event collection for [Windows](service-fabric-diagnostics-how-to-setup-wad.md) and [Linux](service-fabric-diagnostics-how-to-setup-lad.md). These articles show collecting the event data and sending it to Azure storage. This is very easily done in the portal or Resource Manager template by enabling diagnostics. Turning this on collects a few event sources that Service Fabric automatically produces: +Beyond what Azure Monitoring already provides, Azure also provides a means of collecting events from each of the services to a central location. There are two articles that show how to configure event collection for [Windows](service-fabric-diagnostics-how-to-setup-wad.md) and [Linux](service-fabric-diagnostics-how-to-setup-lad.md). These articles show collecting the event data and sending it to Azure storage. This is easily done in the portal or Resource Manager template by enabling diagnostics. Turning this on collects a few event sources that Service Fabric automatically produces: - EventSource events and performance counters when using the Reliable Actor programming model. The events are enumerated in the article on [Diagnostic and performance monitoring for Reliable Actors](service-fabric-reliable-actors-diagnostics.md) - EventSource events when using the Reliable Services programming model. The events are enumerated in the article on [Diagnostic functionality for Stateful Reliable Services](service-fabric-reliable-services-diagnostics.md) -- System events are emitted as ETW events. There are a large number of events that are emitted from Service Fabric as part of this category they include service placement, start/stop events. The best way to see the events emitted is to use [Visual Studio's diagnostic viewer](service-fabric-diagnostics-how-to-monitor-and-diagnose-services-locally.md) when running on your local machine. Because these events are native ETW events, there are some limitations for how they can be collected -- As of the 5.4 release of Service Fabric health and load metric events are also exposed. This allows collection of these events to be used for historical reporting and alerting. These events are also native ETW events and will have some limitations for how they can be collected +- System events are emitted as ETW events. There are many events that are emitted from Service Fabric as part of this category they include service placement, start/stop events. The best way to see the events emitted is to use [Visual Studio's diagnostic viewer](service-fabric-diagnostics-how-to-monitor-and-diagnose-services-locally.md) when running on your local machine. Because these events are native ETW events, there are some limitations for how they can be collected +- As of the 5.4 release of Service Fabric, health and load metric events are exposed. This allows collection of these events to be used for historical reporting and alerting. These events are also native ETW events and have some limitations for how they can be collected -When configured, these events appear in one of the Azure Storage accounts created when the cluster was created, assuming diagnostic was enabled. The tables are named *WADServiceFabricReliableActorEventTable*, *WADServiceFabricReliableServiceEventTable* and *WADServiceFabricSystemEventTable*. The health events are not added by default and require that the Resource Manager template be modified. Refer to [Collect log by using Azure Diagnostics](service-fabric-diagnostics-how-to-setup-wad.md) for details. +When configured, these events appear in one of the Azure Storage accounts created when the cluster was created, assuming diagnostic was enabled. The tables are named *WADServiceFabricReliableActorEventTable*, *WADServiceFabricReliableServiceEventTable*, and *WADServiceFabricSystemEventTable*. The health events are not added by default and require that the Resource Manager template be modified. Refer to [Collect log by using Azure Diagnostics](service-fabric-diagnostics-how-to-setup-wad.md) for details. -These articles also show how to get custom events into Azure Storage. Any of the existing Azure Diagnostic articles on how to configure performance counters or other monitoring information from a VM to Azure Diagnostics will also work with a Service Fabric cluster. For instance, if Azure table storage as a destination isn't what you want, there is an article on how [Streaming Azure Diagnostics data in the hot path by using Event Hubs](../event-hubs/event-hubs-streaming-azure-diags-data.md). Once the events are in Event Hub, they can be read and sent to the location of your choosing. There is also an article on integrating [Azure diagnostic information with Application Insights](https://azure.microsoft.com/blog/azure-diagnostics-integration-with-application-insights/) +These articles also show how to get custom events into Azure Storage. Any of the existing Azure Diagnostic articles on how to configure performance counters or other monitoring information from a VM to Azure Diagnostics also work with a Service Fabric cluster. For instance, if Azure table storage as a destination isn't what you want, there is an article on how [Streaming Azure Diagnostics data in the hot path by using Event Hubs](../event-hubs/event-hubs-streaming-azure-diags-data.md). Once the events are in Event Hub, they can be read and sent to the location of your choosing. There is also an article on integrating [Azure diagnostic information with Application Insights](https://azure.microsoft.com/blog/azure-diagnostics-integration-with-application-insights/) -One of the downsides of using Azure Diagnostics is that the configuration is done using a resource manager template and therefore occurs at the VMSS level only. A VMSS corresponds to a node type in Service Fabric. This means you must configure each node type for all of the applications and services that may run on a node of that type. This could be a large number of EventSources depending on the number of applications and services configured. Additionally, a Resource Manager deployment must be done any time the configuration of any application has changed. Ideally, monitoring configuration would travel along with the service configuration. +One of the downsides of using Azure Diagnostics is that the configuration is done using a Resource Manager template and therefore occurs at the VMSS level only. A VMSS corresponds to a node type in Service Fabric. This means you must configure each node type for all the applications and services that may run on a node of that type. This could be a large number of EventSources depending on the number of applications and services configured. Additionally, a Resource Manager deployment must be done any time the configuration of any application has changed. Ideally, monitoring configuration would travel along with the service configuration. Azure Diagnostics only works for Service Fabric clusters deployed to Azure, but it works for both Windows and Linux clusters. ### EventFlow -[EventFlow was released by the Visual Studio](service-fabric-diagnostic-collect-logs-without-an-agent.md) team and provides a mechanism for routing events from a node to one or more monitoring destinations. Because it is included as a NuGet package in your service project the code and the configuration for EventFlow travels with the service, eliminating the per node configuration issue mentioned about Azure Diagnostics. EventFlow runs within your service process and directly connects to the configured outputs. Because of this direct connection, EventFlow works for Azure, container or on-premise deployments of a service. Care must be taken when running in high density scenarios such as a container because each EventFlow pipeline will make an external connection, if you are hosting lots of processes, you'll end up with lots of outbound connections! This isn't as much of an issue for Service Fabric applications because all replicas of a ServiceType run within the same process, limiting the number of outbound connections. EventFlow also offers filtering of events, so only the events that match the specified filter are sent. For detailed information on using EventFlow with Service Fabric, see [Collect logs directly from an Azure Service Fabric service process](service-fabric-diagnostic-collect-logs-without-an-agent.md) +[EventFlow was released by the Visual Studio](service-fabric-diagnostic-collect-logs-without-an-agent.md) team and provides a mechanism for routing events from a node to one or more monitoring destinations. Because it is included as a NuGet package in your service project the code and the configuration for EventFlow travels with the service, eliminating the per node configuration issue mentioned about Azure Diagnostics. EventFlow runs within your service process and directly connects to the configured outputs. Because of this direct connection, EventFlow works for Azure, container or on-premise deployments of a service. Care must be taken when running in high density scenarios such as a container because each EventFlow pipeline makes an external connection, if you are hosting lots of processes, you end up with lots of outbound connections! This isn't as much of an issue for Service Fabric applications because all replicas of a ServiceType run within the same process, limiting the number of outbound connections. EventFlow also offers filtering of events, so only the events that match the specified filter are sent. For detailed information on using EventFlow with Service Fabric, see [Collect logs directly from an Azure Service Fabric service process](service-fabric-diagnostic-collect-logs-without-an-agent.md) > [!NOTE] > In a future release of Service Fabric an EventSource host application will be made available allowing listening to ETW based inputs, collection of node level metrics and rolling log file support. @@ -249,7 +249,7 @@ Using EventFlow is pretty easy } } ``` -3. Create a new file in the service's PackageRoot | Config folder named *eventFlowConfig.json*. Inside the file the configuration looks like +3. Create a file in the service's PackageRoot | Config folder named *eventFlowConfig.json*. Inside the file the configuration looks like ```json { "inputs": [ @@ -292,7 +292,7 @@ Using EventFlow is pretty easy "extensions": [] } ``` -In the configuration there are two inputs defined, the two EventSource based sources created by Service Fabric and the EventSource for the service. Notice that the system level and health events that use ETW are not available to EventFlow. This is because a high level privilege is required to listen to an ETW source and services should never run with any high privileges. The other input is SeriLog, it's configuration occurred in the **Main** method. There are also some filters applied, the first tells EventFlow to drop all events that are of an event level of verbose. We'll come back to the other filter definition in a minute. There are also two outputs configured, standard output, which will write to the output window within Visual Studio. The other output is ApplicationInsights, just be sure to add your instrumentation key. +In the configuration there are two inputs defined, the two EventSource based sources created by Service Fabric and the EventSource for the service. Notice that the system level and health events that use ETW are not available to EventFlow. This is because a high level privilege is required to listen to an ETW source and services should never run with any high privileges. The other input is SeriLog, it's configuration occurred in the **Main** method. There are also some filters applied, the first tells EventFlow to drop all events that are of an event level of verbose. We'll come back to the other filter definition in a minute. There are also two outputs configured, standard output, which will write to the output window within Visual Studio. The other output is ApplicationInsights, be sure to add your instrumentation key. 4. The last step is to instrument the code. In this example, we're going to instrument RunAsync in a few different ways as an example. In the code below, we're still using SeriLog and some of the syntax used is specific to SeriLog. Be aware of the specific capabilities for the logging solution you choose. There are three events generated, a debug level event and two informational, the second which is tracking the request duration. With the configuration of EventFlow above, the Debug level event should not flow to the output. @@ -314,11 +314,12 @@ In the configuration there are two inputs defined, the two EventSource based sou _logger.LogInformation("{RequestName} {Duration}", "MyRequest", sw.ElapsedMilliseconds); } ``` -5. To view the events in Application Insights, open the Azure portal and navigate to your ApplicationInsights resource. Then click "Search" in the upper left and the events should be visible. + +To view the events in Application Insights, open the Azure portal and navigate to your ApplicationInsights resource. Then click "Search" in the upper left and the events should be visible. ![Application Insights Search view of events](./media/service-fabric-diagnostics-overview/ai-search-events.png) -The traces are at the bottom of the picture. You can see we have only two events, the debug level event was dropped by EventFlow. So what's the request entry just above the trace? It's the third '_logger' instrumentation line that shows the event was translated into a request metric within Application Insights. Let's go back to the filter definition, where the type is 'metadata'. This is declaring that an event that has a property of 'RequestName' with the value 'MyRequest' and that another property, 'Duration' contains the duration of the request in milliseconds. This is what you see in the request event in Application Insights. The same approach works with any of the supported EventFlow inputs including EventSource. +The traces are at the bottom of the picture. You can see we have only two events, the debug level event was dropped by EventFlow. So what's the request entry above the trace? It's the third '_logger' instrumentation line that shows the event was translated into a request metric within Application Insights. Let's go back to the filter definition, where the type is 'metadata'. This is declaring that an event that has a property of 'RequestName' with the value 'MyRequest' and that another property, 'Duration' contains the duration of the request in milliseconds. This is what you see in the request event in Application Insights. The same approach works with any of the supported EventFlow inputs including EventSource. If the cluster is a standalone cluster that cannot be connected to a cloud-based solution for policy reasons, EventFlow supports Elastic Search as an output, but other outputs can be written and pull requests are encouraged. Some of the third-party providers for ASP.NET Core logging also have solutions that support on-premises installations. @@ -332,14 +333,14 @@ Service Fabric has its own health model that is described in detail in a few art Health monitoring is critical to various aspects of operating a service. Most importantly is when Service Fabric is performing a named application upgrade, after each upgrade domain of the service has been upgraded and is made available to your customers, health checks must pass before moving to the next upgrade domain. If good health cannot be achieved, the deployment is rolled back leaving the application in a known good state. While some customers were impacted before the services could be rolled back, most customers didn't experience an issue. Also, the resolution occurred relatively quickly and without having to wait for action from a human operator. The more health checks that are incorporated into the code, the more resilient the service is to deployment issues. -Another aspect of service health is reporting metrics from the service. Metrics are important in Service Fabric because they are used to balance resource usage and can be used as an indicator of system health. Let's say your application contains many services and each instance reports a Request Per Second (RPS) metric. If one of the services is using more resources than another service, Service Fabric will move service instances around the cluster trying to maintain even resource utilization. The article [Managing resource consumption and load in Service Fabric with metrics](service-fabric-cluster-resource-manager-metrics.md) provides a detailed explanation of how this works. +Another aspect of service health is reporting metrics from the service. Metrics are important in Service Fabric because they are used to balance resource usage and can be used as an indicator of system health. Let's say your application contains many services and each instance reports a Request Per Second (RPS) metric. If one of the services is using more resources than another service, Service Fabric moves service instances around the cluster trying to maintain even resource utilization. The article [Managing resource consumption and load in Service Fabric with metrics](service-fabric-cluster-resource-manager-metrics.md) provides a detailed explanation of how this works. -Metrics also give insight into how your service is performing and over time can be used to check that the service is operating within expected parameters. For instance, if based on trends, at 9am on Monday morning the average RPS is 1000, then you may setup a health report that alerts if the RPS is below 500 or above 1500. Everything may be perfectly fine, but it may be worth a look to ensure your customers are having a great experience. Your service can define a set of metrics that can be reported for health purposes, but does not affect the resource balancing of the cluster, just set the metric weight to zero. We recommend that you start all metric with a weight of zero and don't increase the weight until you are sure that you understand how this will impact resource balancing for your cluster. +Metrics also give insight into how your service is performing and over time can be used to check that the service is operating within expected parameters. For instance, if based on trends, at 9am on Monday morning the average RPS is 1000, then you may setup a health report that alerts if the RPS is below 500 or above 1500. Everything may be perfectly fine, but it may be worth a look to ensure your customers are having a great experience. Your service can define a set of metrics that can be reported for health purposes, but does not affect the resource balancing of the cluster, set the metric weight to zero. We recommend that you start all metric with a weight of zero and don't increase the weight until you are sure that you understand how this impacts resource balancing for your cluster. > [!TIP] > Take care not to have too many weighted metrics, it can be difficult to understand why service instances are being moved around, a few metrics can go a long way! -Candidates for metrics and health reports are anything that can indicate the health and performance of your application. A CPU performance counter can tell you how utilized your node is, but it doesn't really say if a particular service is healthy or not because multiple services will be running on a single node. On the other hand, a metric such as RPS or items processed or request latency can all indicate the health of a particular service. +Candidates for metrics and health reports are anything that can indicate the health and performance of your application. A CPU performance counter can tell you how utilized your node is, but it doesn't really say if a particular service is healthy or not because multiple services may be running on a single node. On the other hand, a metric such as RPS or items processed or request latency can all indicate the health of a particular service. To report health, add code such as @@ -363,7 +364,7 @@ A watchdog is a separate service that can watch health and load across services ## Visualization, Analysis and Alerting -The last part of monitoring is visualizing the event stream, reporting on service performance and alerting when an issue is detected. There are a lot of solutions that are used for this aspect of monitoring, Application Insights and OMS can be used to alert based on the stream of events. PowerBI or a third-party solution such as [Kibana](https://www.elastic.co/products/kibana) or [Splunk](https://www.splunk.com/) can be used for visualizing the data. +The last part of monitoring is visualizing the event stream, reporting on service performance and alerting when an issue is detected. There are numerous solutions that are used for this aspect of monitoring, Application Insights and OMS can be used to alert based on the stream of events. PowerBI or a third-party solution such as [Kibana](https://www.elastic.co/products/kibana) or [Splunk](https://www.splunk.com/) can be used for visualizing the data. ## Next steps From e27f16bc93f7f2d84627c2b927489a313f076e22 Mon Sep 17 00:00:00 2001 From: Julia Kornich Date: Fri, 3 Feb 2017 14:02:39 -0800 Subject: [PATCH 85/90] Update azure-mediaservices-limits.md --- includes/azure-mediaservices-limits.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/includes/azure-mediaservices-limits.md b/includes/azure-mediaservices-limits.md index 6b8569bdaf848..d9d602e85a513 100644 --- a/includes/azure-mediaservices-limits.md +++ b/includes/azure-mediaservices-limits.md @@ -39,6 +39,6 @@ | Media Reserved Unit type | Maximum File Size (GB)| | --- | --- | -|S1 | 35| -|S2 | 75| +|S1 | 325| +|S2 | 640| |S3 | 260| From 522496ddcd3cc21501f2390e8cdc158798b6289d Mon Sep 17 00:00:00 2001 From: TerryLanfear Date: Fri, 3 Feb 2017 14:08:19 -0800 Subject: [PATCH 86/90] fixes per editor --- .../security-center-apply-system-updates.md | 7 ++++++- .../security-center-remediate-os-vulnerabilities.md | 2 +- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/articles/security-center/security-center-apply-system-updates.md b/articles/security-center/security-center-apply-system-updates.md index c31aff000207f..8dc9aca72d8af 100644 --- a/articles/security-center/security-center-apply-system-updates.md +++ b/articles/security-center/security-center-apply-system-updates.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 02/02/2017 +ms.date: 02/03/2017 ms.author: terrylan --- @@ -27,12 +27,17 @@ Azure Security Center monitors daily Windows and Linux virtual machines (VMs) f ## Implement the recommendation 1. In the **Recommendations** blade, select **Apply system updates**. + ![Apply system updates][1] 2. The **Apply system updates** blade opens displaying a list of VMs missing system updates. Select a VM. + ![Select a VM][2] 3. A blade opens displaying a list of missing updates for that VM. Select a system update. In this example, let’s select KB3156016. + ![Missing security updates][3] + 4. Follow the steps in the **Security Update** blade to apply the missing update. + ![Security update][4] ## Reboot after system updates diff --git a/articles/security-center/security-center-remediate-os-vulnerabilities.md b/articles/security-center/security-center-remediate-os-vulnerabilities.md index 84208d10eec38..0a986f0dab136 100644 --- a/articles/security-center/security-center-remediate-os-vulnerabilities.md +++ b/articles/security-center/security-center-remediate-os-vulnerabilities.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 02/02/2017 +ms.date: 02/03/2017 ms.author: terrylan --- From 8e36522bfbb47c8b5eb634ee57de98407144fbc5 Mon Sep 17 00:00:00 2001 From: Bhanu Prakash Date: Fri, 3 Feb 2017 14:13:54 -0800 Subject: [PATCH 87/90] Update hdinsight-upgrade-cluster.md --- articles/hdinsight/hdinsight-upgrade-cluster.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md index 6994a3ddce811..c31fa09a69251 100644 --- a/articles/hdinsight/hdinsight-upgrade-cluster.md +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -1,5 +1,5 @@ --- -title: Migrate from Windows-based HDInsight to Linux-based HDInsight | Microsoft Docs +title: Migrate from Windows-based HDInsight to Linux-based HDInsight -Azure | Microsoft Docs description: Learn how to migrate from a Windows-based HDInsight cluster to a Linux-based HDInsight cluster. services: hdinsight documentationcenter: '' @@ -48,7 +48,9 @@ actions: 4. Import any transient data you backed up. 5. Start jobs/continue processing using the new cluster. - - - +## Next Steps +* [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) +* [Connect to a Linux-based cluster using SSH from a Windows client](hdinsight-hadoop-linux-use-ssh-windows.md) +* [Connect to a Linux-based cluster using SSH from a Linux, Unix, or Mac client](hdinsight-hadoop-linux-use-ssh-unix.md) +* [Manage a Linux-based cluster using Ambari](hdinsight-hadoop-manage-ambari.md) From 8c59375290e410c34ba25d4e5d8e8f9f8de0cafe Mon Sep 17 00:00:00 2001 From: Bhanu Prakash Date: Fri, 3 Feb 2017 14:15:24 -0800 Subject: [PATCH 88/90] Update hdinsight-upgrade-cluster.md --- articles/hdinsight/hdinsight-upgrade-cluster.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md index c31fa09a69251..f26225aef547c 100644 --- a/articles/hdinsight/hdinsight-upgrade-cluster.md +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -31,10 +31,8 @@ The workflow to upgrade HDInsight Cluster is as follows. ![Upgrade workflow diagram](./media/hdinsight-upgrade-cluster/upgrade-workflow.png) 1. Read each section of this document to understand changes that may be required when upgrading your HDInsight cluster. - 2. Create a cluster as a test/quality assurance environment. For more information on creating a cluster, see [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) 3. Copy existing jobs, data sources, and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-migrate-from-windows-to-linux.md#copy-data-to-the-test-environment) for more details. - 4. Perform validation testing to make sure that your jobs work as expected on the new cluster. From 53f4898f31ef19a39e1448235ed14c8fc7df7b3b Mon Sep 17 00:00:00 2001 From: TerryLanfear Date: Fri, 3 Feb 2017 14:27:01 -0800 Subject: [PATCH 89/90] final fix --- .../security-center/security-center-apply-system-updates.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/articles/security-center/security-center-apply-system-updates.md b/articles/security-center/security-center-apply-system-updates.md index 8dc9aca72d8af..ff53182571935 100644 --- a/articles/security-center/security-center-apply-system-updates.md +++ b/articles/security-center/security-center-apply-system-updates.md @@ -42,8 +42,10 @@ Azure Security Center monitors daily Windows and Linux virtual machines (VMs) f ## Reboot after system updates 1. Return to the **Recommendations** blade. A new entry was generated after you applied system updates, called **Reboot after system updates**. This entry lets you know that you need to reboot the VM to complete the process of applying system updates. + ![Reboot after system updates][5] 2. Select **Reboot after system updates**. This opens **A restart is pending to complete system updates** blade displaying a list of VMs that you need to restart to complete the apply system updates process. + ![Restart pending][6] Restart the VM from Azure to complete the process. From 9543ac09eacceaf1d740b2e2be25c85924d1fad4 Mon Sep 17 00:00:00 2001 From: curtand Date: Fri, 3 Feb 2017 14:28:12 -0800 Subject: [PATCH 90/90] PM feedback incorped --- .../active-directory/active-directory-b2b-invitation-email.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/active-directory/active-directory-b2b-invitation-email.md b/articles/active-directory/active-directory-b2b-invitation-email.md index d91df169c5411..179816cc13273 100644 --- a/articles/active-directory/active-directory-b2b-invitation-email.md +++ b/articles/active-directory/active-directory-b2b-invitation-email.md @@ -77,7 +77,7 @@ The footer contains the Microsoft company brand and will let the recipient know Browse our other articles on Azure AD B2B collaboration: -* [What is Azure AD B2B collaboration(active-directory-b2b-what-is-azure-ad-b2b.md) +* [What is Azure AD B2B collaboration](active-directory-b2b-what-is-azure-ad-b2b.md) * [How do Azure Active Directory admins add B2B collaboration users?](active-directory-b2b-admin-add-users.md) * [How do information workers add B2B collaboration users?](active-directory-b2b-how-it-works.md) * [B2B collaboration invitation redemption](active-directory-b2b-redemption-experience.md)

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zb2sd6*nnrE0J?&z)Q9(G@4ZV8mOcL00!+7<|6Sl;8mRrBM`tgG F{13}#uKxf4 From 4e374165495fc219a31240f78057c5a64a9b6951 Mon Sep 17 00:00:00 2001 From: mumian Date: Thu, 2 Feb 2017 13:03:44 -0500 Subject: [PATCH 29/90] Acrolinx --- ...t-apache-spark-jupyter-notebook-kernels.md | 4 +-- .../hdinsight-domain-joined-architecture.md | 32 +++++++++---------- 2 files changed, 18 insertions(+), 18 deletions(-) diff --git a/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md b/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md index f73eb436b85b3..d64462a1e2a70 100644 --- a/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md +++ b/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md @@ -20,7 +20,7 @@ ms.author: nitinme --- # Jupyter notebooks kernels with Apache Spark clusters in HDInsight -HDInsight Spark clusters provide two kernels that you can use with the Jupyter notebook for testing your Spark applications. A kernel is a program that runs and interprets your code.The two kernels are: +HDInsight Spark clusters provide two kernels that you can use with the Jupyter notebook for testing your Spark applications. A kernel is a program that runs and interprets your code. The two kernels are: - **PySpark** (for applications written in Python) - **Spark** (for applications written in Scala) @@ -112,7 +112,7 @@ The statement above does the following: * Finally, because we used `-o query2` it also saves the output into a dataframe called **query2**. ## Considerations while using the new kernels -Whichever kernel you use (PySpark or Spark), leaving the notebooks running will consume your cluster resources. With these kernels, because the contexts are preset, simply exiting the notebooks does not kill the context and hence the the cluster resources will continue to be in use. A good practice with the PySpark and Spark kernels would be to use the **Close and Halt** option from the notebook's **File** menu. This kills the context and then exits the notebook. +Whichever kernel you use (PySpark or Spark), leaving the notebooks running will consume your cluster resources. With these kernels, because the contexts are preset, simply exiting the notebooks does not kill the context and hence the cluster resources will continue to be in use. A good practice with the PySpark and Spark kernels would be to use the **Close and Halt** option from the notebook's **File** menu. This kills the context and then exits the notebook. ## Show me some examples When you open a Jupyter notebook, you will see two folders available at the root level. diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index f6d9adec7a7bf..531e1ae25a19b 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -20,7 +20,7 @@ ms.author: saurinsh --- # Plan Azure Domain-joined Hadoop clusters in HDInsight -The traditional Hadoop is a single user cluster. It suits for most companies that have smaller application teams building their BigData workloads. As Hadoop is gaining popularity, many enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams share clusters. Thus, multi-user clusters are one of the most requested functionalities in HDInsight. +The traditional Hadoop is a single user cluster. It suits for most companies that have smaller application teams building their big data workloads. As Hadoop is gaining popularity, many enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams share clusters. Thus, multi-user clusters are one of the most requested functionalities in HDInsight. Instead of building its own multi-user authentication and authorization, HDInsight relies on the most popular identity provider – Active Directory (AD). The powerful security groups functionality in Active Directory can be used to manage multi-user authorization in HDInsight. By integrating HDInsight with Active Directory, Active Directory users can communicate with the clusters using their Active Directory credentials. HDInsight maps Active Directory user to a local Hadoop user, so that all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, and so on) work seamlessly for the authenticated user. @@ -32,11 +32,11 @@ To achieve this setup, there are multiple architectures that you can follow. You **1. HDInsight integrated with AD running on Azure IAAS** -This is the simplest architecture for integrating HDInsight with Active Directory. The Active Directory domain controller runs on one (or multiple) virtual machines (VM) in Azure. Usually these VMs are within a virtual network. You can setup another virtual network for HDInsight cluster. For HDInsight to have a line of sight to the Active Directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). +This is the simplest architecture for integrating HDInsight with Active Directory. The Active Directory domain controller runs on one (or multiple) virtual machines (VM) in Azure. Usually these VMs are within a virtual network. You setup another virtual network for HDInsight cluster. For HDInsight to have a line of sight to the Active Directory, you need to peer these virtual networks using [VNet to VNet peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_1.png) -Prerequisites that need to be setup on Active Directory: +Prerequisites for the Active Directory: * An [Organizational Unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup for communicating with the Active Directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). @@ -51,18 +51,18 @@ Prerequisites that need to be setup on Active Directory: For a cloud-only Azure Active Directory (Azure AD), you need to configure a domain controller so that HDInsight can be integrated with your Azure Active Directory. This is achieved by using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (Azure AD DS). The Azure AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -Currently, Azure AD DS only exists in classic VNETs. It is only accessible using the classic Azure portal. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. +Currently, Azure AD DS only exists in classic VNets. It is only accessible using the classic Azure portal. The HDInsight VNet exists in the Azure portal, which needs to be peered with the classic VNet using VNet to VNet peering. > [!NOTE] > Peering between a classic VNet and an Azure Resource Manager VNet requires both VNets are in the same region, and both VNets are under the same Azure subscription. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_2.png) -Prerequisites that need to be setup on Active Directory: +Prerequisites for the Active Directory: * An [Organizational Unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). -* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the previous picture). * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from Azure AD to AD DS. * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions: @@ -76,11 +76,11 @@ This architecture is similar the architecture #1. The only difference is that th ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_3.png) -Prerequisites that need to be setup on the on-premises Active Directory: +Prerequisites for the Active Directory: * An [Organizational Unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup for communicating with the Active Directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). -* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the previous picture). * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions: - Permissions to create service principal objects and machine objects within the organizational unit. @@ -89,20 +89,20 @@ Prerequisites that need to be setup on the on-premises Active Directory: **4. HDInsight integrated with an on-premises AD synced to an Azure AD** -This architecture is simliar to the architecture #2. The only difference is that the on-premises Active Directory is synced to the Azure Active Directory. You need to configure a domain controller in the cloud so that HDInsight can be integrated with your Azure Active Directory. This is achieved using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +This architecture is similar to the architecture #2. The only difference is that the on-premises Active Directory is synced to the Azure Active Directory. You need to configure a domain controller in the cloud so that HDInsight can be integrated with your Azure Active Directory. This is achieved using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -Currently, Azure AD DS only exists in classic VNETs. It is only accessible using the classic Azure portal. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. +Currently, Azure AD DS only exists in classic VNets. It is only accessible using the classic Azure portal. The HDInsight VNet exists in the Azure portal, which needs to be peered with the classic VNet using VNet to VNet peering. > [!NOTE] > Peering between a classic VNet and an Azure Resource Manager VNet requires both VNets are in the same region, and both VNets are under the same Azure subscription. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_2.png) -Prerequisites that need to be setup on Active Directory: +Prerequisites for the Active Directory: * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). -* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the previous picture). * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from Azure AD to AD DS. * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions: @@ -116,18 +116,18 @@ This architecture is similar to architecture #2. For most companies, the admin a The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. +The AD DS only exists in Classic VNets today, and hence you need access to Classic portal, and need to create a classic VNet for configuring AD DS. The HDInsight VNet exists in the Azure portal, which needs to be peered with the classic VNet using VNet to VNet peering. > [!NOTE] -> Peering between Classic and Azure Resource Manager VNETs requires both vnets are in the same region, and both vnets are under the same Azure subscription. +> Peering between Classic and Azure Resource Manager VNets requires both VNets are in the same region, and both VNets are under the same Azure subscription. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_2.png) -Prerequisites that need to be setup on Active Directory: +Prerequisites for the Active Directory: * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you need to request an exception from hdipreview@microsoft.com. -* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the previous picture). * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from Azure AD to AD DS. * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions: From 6d1f26e462e011a2226ac5a14c7dc3360d0c6f36 Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 14:38:49 -0800 Subject: [PATCH 30/90] Minor edits - openSUSE is more like SLE12 now that openSUSE 13.2 is EOL. --- .../virtual-machines-linux-configure-raid.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/articles/virtual-machines/virtual-machines-linux-configure-raid.md b/articles/virtual-machines/virtual-machines-linux-configure-raid.md index b70e29f046979..e988fcafb2a7b 100644 --- a/articles/virtual-machines/virtual-machines-linux-configure-raid.md +++ b/articles/virtual-machines/virtual-machines-linux-configure-raid.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 09/06/2016 +ms.date: 02/02/2017 ms.author: rclaus --- @@ -129,7 +129,7 @@ In this example, we create a single disk partition on /dev/sdc. The new disk par sudo mkfs -t ext3 /dev/md127 ``` - c. **SLES 11 & openSUSE** - enable boot.md and create mdadm.conf + c. **SLES 11** - enable boot.md and create mdadm.conf ```bash sudo -i chkconfig --add boot.md @@ -164,7 +164,7 @@ In this example, we create a single disk partition on /dev/sdc. The new disk par UUID=aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee /data ext4 defaults 0 2 ``` - Or on **SLES 11 & openSUSE**: + Or on **SLES 11**: ```bash /dev/disk/by-uuid/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee /data ext3 defaults 0 2 From ea3a7d94b142f2b2130036bf0e73fa29077d7b96 Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 14:40:03 -0800 Subject: [PATCH 31/90] Refresh virtual-machines-linux-configure-lvm --- .../virtual-machines/virtual-machines-linux-configure-lvm.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/virtual-machines/virtual-machines-linux-configure-lvm.md b/articles/virtual-machines/virtual-machines-linux-configure-lvm.md index cb096d0c4d9bc..32b1ff654c0aa 100644 --- a/articles/virtual-machines/virtual-machines-linux-configure-lvm.md +++ b/articles/virtual-machines/virtual-machines-linux-configure-lvm.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 12/02/2016 +ms.date: 02/02/2017 ms.author: szark --- From c30700606689101c57af0564b048c7c257f52e69 Mon Sep 17 00:00:00 2001 From: Carl Rabeler Date: Thu, 2 Feb 2017 14:54:51 -0800 Subject: [PATCH 32/90] remove joint author where not appropriate --- .../sql-database-automated-backups.md | 141 +----------------- .../sql-database-benchmark-overview.md | 2 +- .../sql-database-business-continuity.md | 2 +- ...ql-database-configure-firewall-settings.md | 2 +- .../sql-database-control-access.md | 2 +- .../sql-database-disaster-recovery-drills.md | 2 +- .../sql-database-disaster-recovery.md | 2 +- ...tabase-dynamic-data-masking-get-started.md | 2 +- .../sql-database-firewall-configure.md | 2 +- ...atabase-geo-replication-failover-portal.md | 4 +- .../sql-database-geo-replication-overview.md | 2 +- .../sql-database-geo-replication-portal.md | 4 +- ...atabase-geo-replication-security-config.md | 4 +- ...l-database-geo-replication-transact-sql.md | 4 +- .../sql-database-long-term-retention.md | 2 +- .../sql-database-resource-limits.md | 2 +- .../sql-database-security-overview.md | 2 +- .../sql-database-service-tiers.md | 2 +- .../sql-database-technical-overview.md | 2 +- 19 files changed, 24 insertions(+), 161 deletions(-) diff --git a/articles/sql-database/sql-database-automated-backups.md b/articles/sql-database/sql-database-automated-backups.md index 27aca0244b2ff..944ac2f33d554 100644 --- a/articles/sql-database/sql-database-automated-backups.md +++ b/articles/sql-database/sql-database-automated-backups.md @@ -15,97 +15,17 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: NA ms.date: 11/02/2016 -ms.author: sashan;carlrab;barbkess +ms.author: sashan --- # Learn about SQL Database backups - SQL Database automatically creates a database backups and uses Azure read-access geo-redundant storage (RA-GRS) to provide geo-redundancy. These backups are created automatically and at no additional charge. You don't need to do anything to make them happen. Database backups are an essential part of any business continuity and disaster recovery strategy because they protect your data from accidental corruption or deletion. If you want to keep backups in your own storage container you can configure a long-term backup retention policy. For more information, see [Long-term retention](sql-database-long-term-retention.md). - - - - ## What is a SQL Database backup? - - - - SQL Database uses SQL Server technology to create [full](https://msdn.microsoft.com/library/ms186289.aspx), [differential](https://msdn.microsoft.com/library/ms175526.aspx), and [transaction log](https://msdn.microsoft.com/library/ms191429.aspx) backups. The transaction log backups generally happen every 5 - 10 minutes, with the frequency based on the performance level and amount of database activity. Transaction log backups, with full and differential backups, allow you to restore a database to a specific point-in-time to the same server that hosts the database. When you restore a database, the service figures out which full, differential, and transaction log backups need to be restored. - You can use these backups to: @@ -119,22 +39,12 @@ You can use these backups to: > For a tutorial, see [Get Started with Backup and Restore for Data Protection and Recovery](sql-database-get-started-backup-recovery.md) > - - - > [!NOTE] > In Azure storage, the term *replication* refers to copying files from one location to another. SQL's *database replication* refers to keeping to multiple secondary databases synchronized with a primary database. > > - ## How much backup storage is included at no cost? SQL Database provides up to 200% of your maximum provisioned database storage as backup storage at no additional cost. For example, if you have a Standard DB instance with a provisioned DB size of 250 GB, you have 500 GB of backup storage at no additional charge. If your database exceeds the provided backup storage, you can choose to reduce the retention period by contacting Azure Support. Another option is to pay for extra backup storage that is billed at the standard Read-Access Geographically Redundant Storage (RA-GRS) rate. @@ -146,10 +56,6 @@ The backup storage geo-replication occurs based on the Azure Storage replication ## How long do you keep my backups? Each SQL Database backup has a retention period that is based on the [service-tier](sql-database-service-tiers.md) of the database. The retention period for a database in the: - * Basic service tier is 7 days. * Standard service tier is 35 days. @@ -169,56 +75,13 @@ If you delete a database, SQL Database keeps the backups in the same way it woul ## How to extend the backup retention period? If your application requires that the backups are available for longer period of time you can extend the built-in retention period by configuring the Long-term backup retention policy for individual databases (LTR policy). This allows you to extend the built-it retention period from 35 days to up to 10 years. For more information, see [Long-term retention](sql-database-long-term-retention.md). -Once you add the LTR policy to a database using Azure portal or API, the weekly full database backups will be automatically copied to your own Azure Backup Service Vault. If your database is encrypted with TDE the backups are automatically encrypted at rest. The Services Vault will automatically delete your expired backups based on their timestamp and the LTR policy. So you dont need to manage the backup schedule or worry about the cleanup of the old files. +Once you add the LTR policy to a database using Azure portal or API, the weekly full database backups will be automatically copied to your own Azure Backup Service Vault. If your database is encrypted with TDE the backups are automatically encrypted at rest. The Services Vault will automatically delete your expired backups based on their timestamp and the LTR policy. So you don�t need to manage the backup schedule or worry about the cleanup of the old files. The restore API supports backups stored in the vault as long as the vault is in the same subscription as your SQL database. You can use the Aure portal or PowerShell to access these backups. > [!TIP] > For a tutorial, see [Get Started with Backup and Restore for Data Protection and Recovery](sql-database-get-started-backup-recovery.md) > - - - - - - - - - - - - - - - - ## Next steps - Database backups are an essential part of any business continuity and disaster recovery strategy because they protect your data from accidental corruption or deletion. To learn about the other Azure SQL Database business continuity solutions, see [Business continuity overview](sql-database-business-continuity.md). diff --git a/articles/sql-database/sql-database-benchmark-overview.md b/articles/sql-database/sql-database-benchmark-overview.md index d3e4bdc10af0d..ccaf86928ad54 100644 --- a/articles/sql-database/sql-database-benchmark-overview.md +++ b/articles/sql-database/sql-database-benchmark-overview.md @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: na ms.workload: data-management ms.date: 06/21/2016 -ms.author: carlrab; janeng +ms.author: janeng --- # Azure SQL Database benchmark overview diff --git a/articles/sql-database/sql-database-business-continuity.md b/articles/sql-database/sql-database-business-continuity.md index c36d4b8bbc91f..5c4b6cfbdc875 100644 --- a/articles/sql-database/sql-database-business-continuity.md +++ b/articles/sql-database/sql-database-business-continuity.md @@ -16,7 +16,7 @@ ms.topic: get-started-article ms.tgt_pltfrm: NA ms.workload: NA ms.date: 10/13/2016 -ms.author: carlrab;sashan +ms.author: sashan --- # Overview of business continuity with Azure SQL Database diff --git a/articles/sql-database/sql-database-configure-firewall-settings.md b/articles/sql-database/sql-database-configure-firewall-settings.md index bd47f3dabd711..7bec6011b7abd 100644 --- a/articles/sql-database/sql-database-configure-firewall-settings.md +++ b/articles/sql-database/sql-database-configure-firewall-settings.md @@ -15,7 +15,7 @@ ms.tgt_pltfrm: na ms.devlang: dotnet ms.topic: get-started-article ms.date: 11/28/2016 -ms.author: rickbyh;carlrab +ms.author: rickbyh --- # Create and manage Azure SQL Database server-level firewall rules using the Azure portal diff --git a/articles/sql-database/sql-database-control-access.md b/articles/sql-database/sql-database-control-access.md index e52cad81cb641..e8fce75771b1f 100644 --- a/articles/sql-database/sql-database-control-access.md +++ b/articles/sql-database/sql-database-control-access.md @@ -16,7 +16,7 @@ ms.topic: get-started-article ms.tgt_pltfrm: na ms.workload: data-management ms.date: 10/18/2016 -ms.author: rickbyh;carlrab +ms.author: rickbyh --- # Azure SQL Database access control To provide security, SQL Database controls access with firewall rules limiting connectivity by IP address, authentication mechanisms requiring users to prove their identity, and authorization mechanisms limiting users to specific actions and data. diff --git a/articles/sql-database/sql-database-disaster-recovery-drills.md b/articles/sql-database/sql-database-disaster-recovery-drills.md index 4e5c0d57d0472..4093e99b77cf4 100644 --- a/articles/sql-database/sql-database-disaster-recovery-drills.md +++ b/articles/sql-database/sql-database-disaster-recovery-drills.md @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: data-management ms.date: 07/31/2016 -ms.author: sstein; sashan +ms.author: s sashan --- # Performing Disaster Recovery Drill diff --git a/articles/sql-database/sql-database-disaster-recovery.md b/articles/sql-database/sql-database-disaster-recovery.md index c5505b4c6878c..3618c99917306 100644 --- a/articles/sql-database/sql-database-disaster-recovery.md +++ b/articles/sql-database/sql-database-disaster-recovery.md @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: NA ms.date: 10/13/2016 -ms.author: sashan;carlrab +ms.author: sashan --- # Restore an Azure SQL Database or failover to a secondary diff --git a/articles/sql-database/sql-database-dynamic-data-masking-get-started.md b/articles/sql-database/sql-database-dynamic-data-masking-get-started.md index 70ed1648413c6..6140cfcca328d 100644 --- a/articles/sql-database/sql-database-dynamic-data-masking-get-started.md +++ b/articles/sql-database/sql-database-dynamic-data-masking-get-started.md @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: data-services ms.date: 11/22/2016 -ms.author: ronitr; ronmat; carlrab +ms.author: ronitr; ronmat --- # Get started with SQL Database Dynamic Data Masking (Azure Portal) diff --git a/articles/sql-database/sql-database-firewall-configure.md b/articles/sql-database/sql-database-firewall-configure.md index 9742f8eb98492..b7bdaf77ed83f 100644 --- a/articles/sql-database/sql-database-firewall-configure.md +++ b/articles/sql-database/sql-database-firewall-configure.md @@ -17,7 +17,7 @@ ms.topic: get-started-article ms.tgt_pltfrm: na ms.workload: data-management ms.date: 11/23/2016 -ms.author: rickbyh;carlrab +ms.author: rickbyh --- # Overview of Azure SQL Database firewall rules diff --git a/articles/sql-database/sql-database-geo-replication-failover-portal.md b/articles/sql-database/sql-database-geo-replication-failover-portal.md index b07f139d9a04a..cfc1a3a900769 100644 --- a/articles/sql-database/sql-database-geo-replication-failover-portal.md +++ b/articles/sql-database/sql-database-geo-replication-failover-portal.md @@ -3,7 +3,7 @@ title: Initiate a planned or unplanned failover for Azure SQL Database with the description: Initiate a planned or unplanned failover for Azure SQL Database using the Azure portal services: sql-database documentationcenter: '' -author: anosov1960 +author: CarlRabeler manager: jhubbard editor: '' @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: data-management ms.date: 11/22/2016 -ms.author: sashan;carlrab +ms.author: carlrab --- # Initiate a planned or unplanned failover for Azure SQL Database with the Azure portal diff --git a/articles/sql-database/sql-database-geo-replication-overview.md b/articles/sql-database/sql-database-geo-replication-overview.md index 10bf07efb19d4..13f3bd163de70 100644 --- a/articles/sql-database/sql-database-geo-replication-overview.md +++ b/articles/sql-database/sql-database-geo-replication-overview.md @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: na ms.workload: NA ms.date: 09/26/2016 -ms.author: sashan;carlrab +ms.author: sashan --- # Overview: SQL Database Active Geo-Replication diff --git a/articles/sql-database/sql-database-geo-replication-portal.md b/articles/sql-database/sql-database-geo-replication-portal.md index 3d86fe74f7b4e..bf2e65ae923d8 100644 --- a/articles/sql-database/sql-database-geo-replication-portal.md +++ b/articles/sql-database/sql-database-geo-replication-portal.md @@ -3,7 +3,7 @@ title: Configure geo-replication for Azure SQL Database with the Azure portal | description: Configure geo-replication for Azure SQL Database by using the Azure portal services: sql-database documentationcenter: '' -author: anosov1960 +author: CarlRabeler manager: jhubbard editor: '' @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: NA ms.date: 11/22/2016 -ms.author: sashan;carlrab +ms.author: carlrab --- # Configure active geo-replication for Azure SQL Database with the Azure portal diff --git a/articles/sql-database/sql-database-geo-replication-security-config.md b/articles/sql-database/sql-database-geo-replication-security-config.md index bb923d2df2d09..7f1cd9b2b8a8d 100644 --- a/articles/sql-database/sql-database-geo-replication-security-config.md +++ b/articles/sql-database/sql-database-geo-replication-security-config.md @@ -3,7 +3,7 @@ title: Configure Azure SQL Database security for disaster recovery | Microsoft D description: This topic explains security considerations for configuring and managing security after a database restore or a failover to a secondary server in the event of a data center outage or other disaster services: sql-database documentationcenter: na -author: CarlRabeler +author: Caranosov1960lRabeler manager: jhubbard editor: monicar @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: na ms.workload: data-management ms.date: 10/13/2016 -ms.author: carlrab +ms.author: sashan --- # Configure and manage Azure SQL Database security for geo-restore or failover diff --git a/articles/sql-database/sql-database-geo-replication-transact-sql.md b/articles/sql-database/sql-database-geo-replication-transact-sql.md index 897e66bd3febf..cd34fec5b17a1 100644 --- a/articles/sql-database/sql-database-geo-replication-transact-sql.md +++ b/articles/sql-database/sql-database-geo-replication-transact-sql.md @@ -3,7 +3,7 @@ title: Configure Geo-Replication for Azure SQL Database with Transact-SQL | Micr description: Configure Geo-Replication for Azure SQL Database using Transact-SQL services: sql-database documentationcenter: '' -author: anosov1960 +author: CarlRabeler manager: jhubbard editor: '' @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: NA ms.date: 10/13/2016 -ms.author: sashan +ms.author: carlrab --- # Configure active geo-replication for Azure SQL Database with Transact-SQL diff --git a/articles/sql-database/sql-database-long-term-retention.md b/articles/sql-database/sql-database-long-term-retention.md index 92436a71ab630..99e535de3e6e8 100644 --- a/articles/sql-database/sql-database-long-term-retention.md +++ b/articles/sql-database/sql-database-long-term-retention.md @@ -16,7 +16,7 @@ ms.topic: article ms.tgt_pltfrm: NA ms.workload: NA ms.date: 12/21/2016 -ms.author: carlrab; sashan +ms.author: sashan --- # Storing Azure SQL Database Backups for up to 10 years diff --git a/articles/sql-database/sql-database-resource-limits.md b/articles/sql-database/sql-database-resource-limits.md index 7be8c3d4f99c5..6b010a66fcae0 100644 --- a/articles/sql-database/sql-database-resource-limits.md +++ b/articles/sql-database/sql-database-resource-limits.md @@ -15,7 +15,7 @@ ms.topic: article ms.tgt_pltfrm: na ms.workload: data-management ms.date: 01/11/2017 -ms.author: carlrab; janeng +ms.author: janeng --- # Azure SQL Database resource limits diff --git a/articles/sql-database/sql-database-security-overview.md b/articles/sql-database/sql-database-security-overview.md index 4cca2ca68974a..5c3b68ee4c98e 100644 --- a/articles/sql-database/sql-database-security-overview.md +++ b/articles/sql-database/sql-database-security-overview.md @@ -15,7 +15,7 @@ ms.topic: get-started-article ms.tgt_pltfrm: NA ms.workload: data-management ms.date: 02/01/2017 -ms.author: thmullan;jackr;carlrab +ms.author: thmullan;jackr --- # Securing your SQL Database diff --git a/articles/sql-database/sql-database-service-tiers.md b/articles/sql-database/sql-database-service-tiers.md index 66db622435cde..821b8366dce77 100644 --- a/articles/sql-database/sql-database-service-tiers.md +++ b/articles/sql-database/sql-database-service-tiers.md @@ -16,7 +16,7 @@ ms.topic: get-started-article ms.tgt_pltfrm: na ms.workload: data-management ms.date: 01/11/2017 -ms.author: carlrab; janeng +ms.author: janeng --- # SQL Database options and performance: Understand what's available in each service tier diff --git a/articles/sql-database/sql-database-technical-overview.md b/articles/sql-database/sql-database-technical-overview.md index 4708bea51cc5c..053bdca471a46 100644 --- a/articles/sql-database/sql-database-technical-overview.md +++ b/articles/sql-database/sql-database-technical-overview.md @@ -16,7 +16,7 @@ ms.topic: hero-article ms.tgt_pltfrm: na ms.workload: data-management ms.date: 12/20/2016 -ms.author: shkurhek;carlrab +ms.author: shkurhek --- # What is SQL Database? Introduction to SQL Database SQL Database is a relational database service in the Microsoft cloud based on the market-leading Microsoft SQL Server engine and capable of handling mission-critical workloads. SQL Database delivers predictable performance at multiple service levels, dynamic scalability with no downtime, built-in business continuity, and data protection — all with near-zero administration. These capabilities allow you to focus on rapid app development and accelerating your time to market, rather than allocating precious time and resources to managing virtual machines and infrastructure. Because SQL Database is based on the [SQL Server](https://msdn.microsoft.com/library/bb545450.aspx) engine, SQL Database supports existing SQL Server tools, libraries, and APIs. As a result, it is easy for you to develop new solutions, to move your existing SQL Server solutions, and to extend your existing SQL Server solutions to the Microsoft cloud without having to learn new skills. From d0edecba5b39ee8e12c3557dcbdb0e7683d1df3b Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 15:20:20 -0800 Subject: [PATCH 33/90] Lots of updates to CentOS BYOL doc --- ...ual-machines-linux-create-upload-centos.md | 320 ++++++++++-------- 1 file changed, 175 insertions(+), 145 deletions(-) diff --git a/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md b/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md index b325b225a927e..9ec6d85d08bad 100644 --- a/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md +++ b/articles/virtual-machines/virtual-machines-linux-create-upload-centos.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 05/09/2016 +ms.date: 02/02/2017 ms.author: szark --- @@ -30,25 +30,29 @@ This article assumes that you have already installed a CentOS (or similar deriva **CentOS installation notes** * Please see also [General Linux Installation Notes](virtual-machines-linux-create-upload-generic.md#general-linux-installation-notes) for more tips on preparing Linux for Azure. -* The VHDX format is not supported in Azure, only **fixed VHD**. You can convert the disk to VHD format using Hyper-V Manager or the convert-vhd cmdlet. -* When installing the Linux system it is recommended that you use standard partitions rather than LVM (often the default for many installations). This will avoid LVM name conflicts with cloned VMs, particularly if an OS disk ever needs to be attached to another VM for troubleshooting. [LVM](virtual-machines-linux-configure-lvm.md?toc=%2fazure%2fvirtual-machines%2flinux%2ftoc.json) or [RAID](virtual-machines-linux-configure-raid.md?toc=%2fazure%2fvirtual-machines%2flinux%2ftoc.json) may be used on data disks if preferred. -* NUMA is not supported for larger VM sizes due to a bug in Linux kernel versions below 2.6.37. This issue primarily impacts distributions using the upstream Red Hat 2.6.32 kernel. Manual installation of the Azure Linux agent (waagent) will automatically disable NUMA in the GRUB configuration for the Linux kernel. More information about this can be found in the steps below. +* The VHDX format is not supported in Azure, only **fixed VHD**. You can convert the disk to VHD format using Hyper-V Manager or the convert-vhd cmdlet. If you are using VirtualBox this means selecting **Fixed size** as opposed to the default dynamically allocated when creating the disk. +* When installing the Linux system it is *recommended* that you use standard partitions rather than LVM (often the default for many installations). This will avoid LVM name conflicts with cloned VMs, particularly if an OS disk ever needs to be attached to another identical VM for troubleshooting. [LVM](virtual-machines-linux-configure-lvm.md?toc=%2fazure%2fvirtual-machines%2flinux%2ftoc.json) or [RAID](virtual-machines-linux-configure-raid.md?toc=%2fazure%2fvirtual-machines%2flinux%2ftoc.json) may be used on data disks. +* Kernel support for mounting UDF file systems is required. At first boot on Azure the provisioning configuration is passed to the Linux VM via UDF-formatted media that is attached to the guest. The Azure Linux agent must be able to mount the UDF file system to read its configuration and provision the VM. +* Linux kernel versions below 2.6.37 do not support NUMA on Hyper-V with larger VM sizes. This issue primarily impacts older distributions using the upstream Red Hat 2.6.32 kernel, and was fixed in RHEL 6.6 (kernel-2.6.32-504). Systems running custom kernels older than 2.6.37, or RHEL-based kernels older than 2.6.32-504 must set the boot parameter `numa=off` on the kernel command-line in grub.conf. For more information see Red Hat [KB 436883](https://access.redhat.com/solutions/436883). * Do not configure a swap partition on the OS disk. The Linux agent can be configured to create a swap file on the temporary resource disk. More information about this can be found in the steps below. * All of the VHDs must have sizes that are multiples of 1 MB. ## CentOS 6.x + 1. In Hyper-V Manager, select the virtual machine. + 2. Click **Connect** to open a console window for the virtual machine. -3. Uninstall NetworkManager by running the following command: + +3. In CentOS 6, NetworkManager can interfere with the Azure Linux agent. Uninstall this package by running the following command: # sudo rpm -e --nodeps NetworkManager - - **Note:** If the package is not already installed, this command will fail with an error message. This is expected. -4. Create a file named **network** in the `/etc/sysconfig/` directory that contains the following text: + +4. Create or edit the file `/etc/sysconfig/network` and add the following text: NETWORKING=yes HOSTNAME=localhost.localdomain -5. Create a file named **ifcfg-eth0** in the `/etc/sysconfig/network-scripts/` directory that contains the following text: + +5. Create or edit the file `/etc/sysconfig/network-scripts/ifcfg-eth0` and add the following text: DEVICE=eth0 ONBOOT=yes @@ -57,102 +61,119 @@ This article assumes that you have already installed a CentOS (or similar deriva USERCTL=no PEERDNS=yes IPV6INIT=no + 6. Modify udev rules to avoid generating static rules for the Ethernet interface(s). These rules can cause problems when cloning a virtual machine in Microsoft Azure or Hyper-V: # sudo ln -s /dev/null /etc/udev/rules.d/75-persistent-net-generator.rules # sudo rm -f /etc/udev/rules.d/70-persistent-net.rules + 7. Ensure the network service will start at boot time by running the following command: # sudo chkconfig network on -8. **CentOS 6.3 Only**: Install the drivers for the Linux Integration Services (LIS). - - **Important: The step is only valid for CentOS 6.3 and earlier.** In CentOS 6.4+ the Linux Integration Services are *already available in the standard kernel*. - - * Follow the installation instructions on the [LIS download page](https://www.microsoft.com/en-us/download/details.aspx?id=46842) and install the RPM onto your image. -9. Install the python-pyasn1 package by running the following command: - - # sudo yum install python-pyasn1 -10. If you would like to use the OpenLogic mirrors that are hosted within the Azure datacenters, then replace the /etc/yum.repos.d/CentOS-Base.repo file with the following repositories. This will also add the **[openlogic]** repository that includes packages for the Azure Linux agent: - + +8. If you would like to use the OpenLogic mirrors that are hosted within the Azure datacenters, then replace the /etc/yum.repos.d/CentOS-Base.repo file with the following repositories. This will also add the **[openlogic]** repository that includes additional packages such as the Azure Linux agent: + [openlogic] name=CentOS-$releasever - openlogic packages for $basearch baseurl=http://olcentgbl.trafficmanager.net/openlogic/$releasever/openlogic/$basearch/ enabled=1 gpgcheck=0 - - [base] - name=CentOS-$releasever - Base - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/os/$basearch/ - gpgcheck=1 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 - - #released updates - [updates] - name=CentOS-$releasever - Updates - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/updates/$basearch/ - gpgcheck=1 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 - - #additional packages that may be useful - [extras] - name=CentOS-$releasever - Extras - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/extras/$basearch/ - gpgcheck=1 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 - - #additional packages that extend functionality of existing packages - [centosplus] - name=CentOS-$releasever - Plus - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/centosplus/$basearch/ - gpgcheck=1 - enabled=0 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 - - #contrib - packages by Centos Users - [contrib] - name=CentOS-$releasever - Contrib - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/contrib/$basearch/ - gpgcheck=1 - enabled=0 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 - - **Note:** The rest of this guide will assume you are using at least the [openlogic] repo, which will be used to install the Azure Linux agent below. -11. Add the following line to /etc/yum.conf: + + [base] + name=CentOS-$releasever - Base + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=os&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/os/$basearch/ + gpgcheck=1 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 + + #released updates + [updates] + name=CentOS-$releasever - Updates + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=updates&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/updates/$basearch/ + gpgcheck=1 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 + + #additional packages that may be useful + [extras] + name=CentOS-$releasever - Extras + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=extras&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/extras/$basearch/ + gpgcheck=1 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 + + #additional packages that extend functionality of existing packages + [centosplus] + name=CentOS-$releasever - Plus + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=centosplus&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/centosplus/$basearch/ + gpgcheck=1 + enabled=0 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 + + #contrib - packages by Centos Users + [contrib] + name=CentOS-$releasever - Contrib + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=contrib&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/contrib/$basearch/ + gpgcheck=1 + enabled=0 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-6 + + + [!Note] + The rest of this guide will assume you are using at least the `[openlogic]` repo, which will be used to install the Azure Linux agent below. + + +9. Add the following line to /etc/yum.conf: http_caching=packages - - And **on CentOS 6.3 only** add the following line: - - exclude=kernel* -12. Disable the yum module "fastestmirror" by editing the file "/etc/yum/pluginconf.d/fastestmirror.conf", and under `[main]`, type the following: - - set enabled=0 -13. Run the following command to clear the current yum metadata: + +10. Run the following command to clear the current yum metadata: # yum clean all -14. **On CentOS 6.3 only**, update the kernel using the following command: + + Unless you are creating an image for an older version of CentOS, it is recommended to update all the packages to the latest: + + # sudo yum -y update + + A reboot maybe required after running this command. + +11. (Optional) Install the drivers for the Linux Integration Services (LIS). + + [!IMPORTANT] + The step is **required** for CentOS 6.3 and earlier, and optional for later releases. + + # sudo rpm -e hypervkvpd ## (may return error if not installed, that's OK) + # sudo yum install microsoft-hyper-v + + Alternatively, you can follow the manual installation instructions on the [LIS download page](https://go.microsoft.com/fwlink/?linkid=403033) to install the RPM onto your VM. + +12. Install the Azure Linux Agent and dependencies: + + # sudo yum install python-pyasn1 WALinuxAgent - # sudo yum --disableexcludes=all install kernel -15. Modify the kernel boot line in your grub configuration to include additional kernel parameters for Azure. To do this, open "/boot/grub/menu.lst" in a text editor and ensure that the default kernel includes the following parameters: + The WALinuxAgent package will remove the NetworkManager and NetworkManager-gnome packages if they were not already removed as described in step 3. + + +13. Modify the kernel boot line in your grub configuration to include additional kernel parameters for Azure. To do this, open "/boot/grub/menu.lst" in a text editor and ensure that the default kernel includes the following parameters: - console=ttyS0 earlyprintk=ttyS0 rootdelay=300 numa=off + console=ttyS0 earlyprintk=ttyS0 rootdelay=300 - This will also ensure all console messages are sent to the first serial port, which can assist Azure support with debugging issues. This will disable NUMA due to a bug in the kernel version used by CentOS 6. + This will also ensure all console messages are sent to the first serial port, which can assist Azure support with debugging issues. In addition to the above, it is recommended to *remove* the following parameters: rhgb quiet crashkernel=auto - Graphical and quiet boot are not useful in a cloud environment where we want all the logs to be sent to the serial port. - - The `crashkernel` option may be left configured if desired, but note that this parameter will reduce the amount of available memory in the VM by 128MB or more, which may be problematic on the smaller VM sizes. -16. Ensure that the SSH server is installed and configured to start at boot time. This is usually the default. -17. Install the Azure Linux Agent by running the following command: - - # sudo yum install WALinuxAgent - - Note that installing the WALinuxAgent package will remove the NetworkManager and NetworkManager-gnome packages if they were not already removed as described in step 2. -18. Do not create swap space on the OS disk. + Graphical and quiet boot are not useful in a cloud environment where we want all the logs to be sent to the serial port. The `crashkernel` option may be left configured if desired, but note that this parameter will reduce the amount of available memory in the VM by 128MB or more, which may be problematic on the smaller VM sizes. + + [!Important] + CentOS 6.5 and earlier must also set the kernel parameter `numa=off`. See Red Hat [KB 436883](https://access.redhat.com/solutions/436883). + +14. Ensure that the SSH server is installed and configured to start at boot time. This is usually the default. + +15. Do not create swap space on the OS disk. The Azure Linux Agent can automatically configure swap space using the local resource disk that is attached to the VM after provisioning on Azure. Note that the local resource disk is a *temporary* disk, and might be emptied when the VM is deprovisioned. After installing the Azure Linux Agent (see previous step), modify the following parameters in /etc/waagent.conf appropriately: @@ -161,12 +182,15 @@ This article assumes that you have already installed a CentOS (or similar deriva ResourceDisk.MountPoint=/mnt/resource ResourceDisk.EnableSwap=y ResourceDisk.SwapSizeMB=2048 ## NOTE: set this to whatever you need it to be. -19. Run the following commands to deprovision the virtual machine and prepare it for provisioning on Azure: + +16. Run the following commands to deprovision the virtual machine and prepare it for provisioning on Azure: # sudo waagent -force -deprovision # export HISTSIZE=0 # logout -20. Click **Action -> Shut Down** in Hyper-V Manager. Your Linux VHD is now ready to be uploaded to Azure. + +17. Click **Action -> Shut Down** in Hyper-V Manager. Your Linux VHD is now ready to be uploaded to Azure. + - - - ## CentOS 7.0+ @@ -181,12 +205,15 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe **Configuration Steps** 1. In Hyper-V Manager, select the virtual machine. + 2. Click **Connect** to open a console window for the virtual machine. -3. Create a file named **network** in the `/etc/sysconfig/` directory that contains the following text: + +3. Create or edit the file `/etc/sysconfig/network` and add the following text: NETWORKING=yes HOSTNAME=localhost.localdomain -4. Create a file named **ifcfg-eth0** in the `/etc/sysconfig/network-scripts/` directory that contains the following text: + +4. Create or edit the file `/etc/sysconfig/network-scripts/ifcfg-eth0` and add the following text: DEVICE=eth0 ONBOOT=yes @@ -195,66 +222,66 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe USERCTL=no PEERDNS=yes IPV6INIT=no + NM_CONTROLLED=no + 5. Modify udev rules to avoid generating static rules for the Ethernet interface(s). These rules can cause problems when cloning a virtual machine in Microsoft Azure or Hyper-V: # sudo ln -s /dev/null /etc/udev/rules.d/75-persistent-net-generator.rules -6. Ensure the network service will start at boot time by running the following command: - - # sudo chkconfig network on -7. Install the python-pyasn1 package by running the following command: - - # sudo yum install python-pyasn1 -8. If you would like to use the OpenLogic mirrors that are hosted within the Azure datacenters, then replace the /etc/yum.repos.d/CentOS-Base.repo file with the following repositories. This will also add the **[openlogic]** repository that includes packages for the Azure Linux agent: + +6. If you would like to use the OpenLogic mirrors that are hosted within the Azure datacenters, then replace the /etc/yum.repos.d/CentOS-Base.repo file with the following repositories. This will also add the **[openlogic]** repository that includes packages for the Azure Linux agent: [openlogic] name=CentOS-$releasever - openlogic packages for $basearch baseurl=http://olcentgbl.trafficmanager.net/openlogic/$releasever/openlogic/$basearch/ enabled=1 gpgcheck=0 - - [base] - name=CentOS-$releasever - Base - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/os/$basearch/ - gpgcheck=1 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 - - #released updates - [updates] - name=CentOS-$releasever - Updates - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/updates/$basearch/ - gpgcheck=1 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 - - #additional packages that may be useful - [extras] - name=CentOS-$releasever - Extras - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/extras/$basearch/ - gpgcheck=1 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 - - #additional packages that extend functionality of existing packages - [centosplus] - name=CentOS-$releasever - Plus - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/centosplus/$basearch/ - gpgcheck=1 - enabled=0 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 - - #contrib - packages by Centos Users - [contrib] - name=CentOS-$releasever - Contrib - baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/contrib/$basearch/ - gpgcheck=1 - enabled=0 - gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 + + [base] + name=CentOS-$releasever - Base + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=os&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/os/$basearch/ + gpgcheck=1 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 + + #released updates + [updates] + name=CentOS-$releasever - Updates + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=updates&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/updates/$basearch/ + gpgcheck=1 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 + + #additional packages that may be useful + [extras] + name=CentOS-$releasever - Extras + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=extras&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/extras/$basearch/ + gpgcheck=1 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 + + #additional packages that extend functionality of existing packages + [centosplus] + name=CentOS-$releasever - Plus + #mirrorlist=http://mirrorlist.centos.org/?release=$releasever&arch=$basearch&repo=centosplus&infra=$infra + baseurl=http://olcentgbl.trafficmanager.net/centos/$releasever/centosplus/$basearch/ + gpgcheck=1 + enabled=0 + gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-CentOS-7 - **Note:** The rest of this guide will assume you are using at least the [openlogic] repo, which will be used to install the Azure Linux agent below. + [!Note] + The rest of this guide will assume you are using at least the `[openlogic]` repo, which will be used to install the Azure Linux agent below. -1. Run the following command to clear the current yum metadata and install any updates: +7. Run the following command to clear the current yum metadata and install any updates: # sudo yum clean all - # sudo yum -y update -2. Modify the kernel boot line in your grub configuration to include additional kernel parameters for Azure. To do this, open "/etc/default/grub" in a text editor and edit the `GRUB_CMDLINE_LINUX` parameter, for example: + + Unless you are creating an image for an older version of CentOS, it is recommended to update all the packages to the latest: + + # sudo yum -y update + + A reboot maybe required after running this command. + +8. Modify the kernel boot line in your grub configuration to include additional kernel parameters for Azure. To do this, open "/etc/default/grub" in a text editor and edit the `GRUB_CMDLINE_LINUX` parameter, for example: GRUB_CMDLINE_LINUX="rootdelay=300 console=ttyS0 earlyprintk=ttyS0 net.ifnames=0" @@ -262,14 +289,13 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe rhgb quiet crashkernel=auto - Graphical and quiet boot are not useful in a cloud environment where we want all the logs to be sent to the serial port. - - The `crashkernel` option may be left configured if desired, but note that this parameter will reduce the amount of available memory in the VM by 128MB or more, which may be problematic on the smaller VM sizes. -3. Once you are done editing "/etc/default/grub" per above, run the following command to rebuild the grub configuration: + Graphical and quiet boot are not useful in a cloud environment where we want all the logs to be sent to the serial port. The `crashkernel` option may be left configured if desired, but note that this parameter will reduce the amount of available memory in the VM by 128MB or more, which may be problematic on the smaller VM sizes. + +9. Once you are done editing "/etc/default/grub" per above, run the following command to rebuild the grub configuration: # sudo grub2-mkconfig -o /boot/grub2/grub.cfg -4. Ensure that the SSH server is installed and configured to start at boot time. This is usually the default. -5. **Only if building the image from VMWare, VirtualBox or KVM:** Add Hyper-V modules into initramfs: + +10. If building the image from **VMWare, VirtualBox or KVM:** Ensure the Hyper-V drivers are included in the initramfs: Edit `/etc/dracut.conf`, add content: @@ -277,12 +303,14 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe Rebuild the initramfs: - # dracut –f -v -6. Install the Azure Linux Agent by running the following command: - - # sudo yum install WALinuxAgent + # sudo dracut –f -v + +11. Install the Azure Linux Agent and dependencies: + + # sudo yum install python-pyasn1 WALinuxAgent # sudo systemctl enable waagent -7. Do not create swap space on the OS disk. + +12. Do not create swap space on the OS disk. The Azure Linux Agent can automatically configure swap space using the local resource disk that is attached to the VM after provisioning on Azure. Note that the local resource disk is a *temporary* disk, and might be emptied when the VM is deprovisioned. After installing the Azure Linux Agent (see previous step), modify the following parameters in /etc/waagent.conf appropriately: @@ -291,12 +319,14 @@ Preparing a CentOS 7 virtual machine for Azure is very similar to CentOS 6, howe ResourceDisk.MountPoint=/mnt/resource ResourceDisk.EnableSwap=y ResourceDisk.SwapSizeMB=2048 ## NOTE: set this to whatever you need it to be. -8. Run the following commands to deprovision the virtual machine and prepare it for provisioning on Azure: + +13. Run the following commands to deprovision the virtual machine and prepare it for provisioning on Azure: # sudo waagent -force -deprovision # export HISTSIZE=0 # logout -9. Click **Action -> Shut Down** in Hyper-V Manager. Your Linux VHD is now ready to be uploaded to Azure. + +14. Click **Action -> Shut Down** in Hyper-V Manager. Your Linux VHD is now ready to be uploaded to Azure. ## Next steps You're now ready to use your CentOS Linux virtual hard disk to create new virtual machines in Azure. If this is the first time that you're uploading the .vhd file to Azure, see steps 2 and 3 in [Creating and uploading a virtual hard disk that contains the Linux operating system](virtual-machines-linux-classic-create-upload-vhd.md?toc=%2fazure%2fvirtual-machines%2flinux%2fclassic%2ftoc.json). From 649cc1a78f3a9f343533cb18fb7d763e4f9ea196 Mon Sep 17 00:00:00 2001 From: Devin Breshears Date: Thu, 2 Feb 2017 15:20:20 -0800 Subject: [PATCH 34/90] Updating with specific KB article and removing stale content --- ...ls-docker-troubleshooting-docker-errors.md | 61 +------------------ 1 file changed, 2 insertions(+), 59 deletions(-) diff --git a/articles/vs-azure-tools-docker-troubleshooting-docker-errors.md b/articles/vs-azure-tools-docker-troubleshooting-docker-errors.md index db9564c1c4b72..857f6137e49c8 100644 --- a/articles/vs-azure-tools-docker-troubleshooting-docker-errors.md +++ b/articles/vs-azure-tools-docker-troubleshooting-docker-errors.md @@ -50,8 +50,8 @@ The following issues are specific to debugging .NET Framework web and console ap #### Prerequisites 1. Visual Studio 2017 RC (or later) with the .NET Core and Docker Preview workload must be installed. -2. Windows 10 Anniversary Update with the latest Windows Update patches must be installed. -3. [Docker for Windows (Beta)](https://docs.docker.com/docker-for-windows/) (build 1.12.2-beta28 7813 or later) must be installed. +2. Windows 10 Anniversary Update with that latest Windows Update patches. Specifically [KB3194798](https://support.microsoft.com/en-us/help/3194798/cumulative-update-for-windows-10-version-1607-and-windows-server-2016-october-11,-2016) must be installed. +3. [Docker for Windows](https://docs.docker.com/docker-for-windows/) (build 1.13.0 or later) must be installed. 4. **Switch to Windows containers** must be selected. In the notification area, click **Docker for Windows**, and then select **Switch to Windows containers**. After the machine restarts, ensure that this setting is retained. #### Console output does not appear in Visual Studio's output window while debugging a console application @@ -66,11 +66,6 @@ To work around this issue, open web.release.config in the solution and comment o ``` -#### When switching to windows containers, you see an error stating, "Error response from daemon: i/o timeout" - -This issue in Docker for Windows can be tracked at https://github.com/docker/for-win/issues/178. - - ## Visual Studio 2015 ### **Linux containers** @@ -136,58 +131,6 @@ docker info If this returns an error, then attempt to start the **Docker for Windows** desktop app. If the desktop app is running, then **Moby** should be visible in the notification area. Right-click **Moby** and open **Settings**. Click **Reset**, and then restart Docker. -## Manually upgrading from version 0.31 to 0.40 -To manually upgrade Docker for Windows: - -1. Back up the project. -1. Delete the following files in the project: - - ``` - Dockerfile - Dockerfile.debug - DockerTask.ps1 - docker-compose-yml - docker-compose.debug.yml - .dockerignore - Properties\Docker.props - Properties\Docker.targets - ``` - -1. Close the solution and remove the following lines from the .xproj file: - - ``` - 0.xx - - - ``` - -1. Reopen the solution. -1. Remove the following lines from the Properties\launchSettings.json file: - - ``` - "Docker": { - "executablePath": "%WINDIR%\\System32\\WindowsPowerShell\\v1.0\\powershell.exe", - "commandLineArgs": "-ExecutionPolicy RemoteSigned .\\DockerTask.ps1 -Run -Environment $(Configuration) -Machine '$(DockerMachineName)'" - } - ``` - -1. Remove the following files related to Docker from project.json in the publishOptions: - - ``` - "publishOptions": { - "include": [ - ... - "docker-compose.yml", - "docker-compose.debug.yml", - "Dockerfile.debug", - "Dockerfile", - ".dockerignore" - ] - }, - ``` - -1. Uninstall the previous version and install Docker Tools 0.40. Then go to **Add > Docker Support** from the context menu for your ASP.NET Core web or console application. This adds the new required Docker artifacts back to your project. - ## An error dialog occurs when attempting to add Docker Support or debug (F5) an ASP.NET Core application in a container After uninstalling and installing extensions, the Managed Extensibility Framework (MEF) cache in Visual Studio can become corrupted. When this occurs, it can cause various error messages when you're adding Docker Support and/or attempting to run or debug (F5) your ASP.NET Core application. As a temporary workaround, use the following steps to delete and regenerate the MEF cache. From 88733c835e59d5e2b513de5a5781efc430b4b17b Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 15:22:23 -0800 Subject: [PATCH 35/90] Minor updates to linux-create-upload-generic --- .../virtual-machines-linux-create-upload-generic.md | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/articles/virtual-machines/virtual-machines-linux-create-upload-generic.md b/articles/virtual-machines/virtual-machines-linux-create-upload-generic.md index 5da58c87c4778..083069941ca39 100644 --- a/articles/virtual-machines/virtual-machines-linux-create-upload-generic.md +++ b/articles/virtual-machines/virtual-machines-linux-create-upload-generic.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 12/02/2016 +ms.date: 02/02/2017 ms.author: szark --- @@ -140,6 +140,7 @@ The [Azure Linux Agent](virtual-machines-linux-agent-user-guide.md?toc=%2fazure% * In some cases the Azure Linux Agent may not be compatible with NetworkManager. Many of the RPM/Deb packages provided by distributions configure NetworkManager as a conflict to the waagent package, and thus will uninstall NetworkManager when you install the Linux agent package. ## General Linux System Requirements + * Modify the kernel boot line in GRUB or GRUB2 to include the following parameters. This will also ensure all console messages are sent to the first serial port, which can assist Azure support with debugging issues: console=ttyS0,115200n8 earlyprintk=ttyS0,115200 rootdelay=300 @@ -150,13 +151,14 @@ The [Azure Linux Agent](virtual-machines-linux-agent-user-guide.md?toc=%2fazure% rhgb quiet crashkernel=auto - Graphical and quiet boot are not useful in a cloud environment where we want all the logs to be sent to the serial port. - - The `crashkernel` option may be left configured if desired, but note that this parameter will reduce the amount of available memory in the VM by 128MB or more, which may be problematic on the smaller VM sizes. + Graphical and quiet boot are not useful in a cloud environment where we want all the logs to be sent to the serial port. The `crashkernel` option may be left configured if desired, but note that this parameter will reduce the amount of available memory in the VM by 128MB or more, which may be problematic on the smaller VM sizes. + * Installing the Azure Linux Agent The Azure Linux Agent is required for provisioning a Linux image on Azure. Many distributions provide the agent as an RPM or Deb package (the package is typically called 'WALinuxAgent' or 'walinuxagent'). The agent can also be installed manually by following the steps in the [Linux Agent Guide](virtual-machines-linux-agent-user-guide.md?toc=%2fazure%2fvirtual-machines%2flinux%2ftoc.json). + * Ensure that the SSH server is installed and configured to start at boot time. This is usually the default. + * Do not create swap space on the OS disk The Azure Linux Agent can automatically configure swap space using the local resource disk that is attached to the VM after provisioning on Azure. Note that the local resource disk is a *temporary* disk, and might be emptied when the VM is deprovisioned. After installing the Azure Linux Agent (see previous step), modify the following parameters in /etc/waagent.conf appropriately: @@ -166,6 +168,7 @@ The [Azure Linux Agent](virtual-machines-linux-agent-user-guide.md?toc=%2fazure% ResourceDisk.MountPoint=/mnt/resource ResourceDisk.EnableSwap=y ResourceDisk.SwapSizeMB=2048 ## NOTE: set this to whatever you need it to be. + * As a final step, run the following commands to deprovision the virtual machine: # sudo waagent -force -deprovision @@ -176,5 +179,6 @@ The [Azure Linux Agent](virtual-machines-linux-agent-user-guide.md?toc=%2fazure% > On Virtualbox you may see the following error after running 'waagent -force -deprovision': `[Errno 5] Input/output error`. This error message is not critical and can be ignored. > > + * You will then need to shut down the virtual machine and upload the VHD to Azure. From bf44583f13e341f758c6b7f2fa656af4e50b7ee0 Mon Sep 17 00:00:00 2001 From: Todd Abel Date: Thu, 2 Feb 2017 15:22:26 -0800 Subject: [PATCH 36/90] Updated with feedback --- .../service-fabric-diagnostics-overview.md | 82 ++++++++++--------- 1 file changed, 44 insertions(+), 38 deletions(-) diff --git a/articles/service-fabric/service-fabric-diagnostics-overview.md b/articles/service-fabric/service-fabric-diagnostics-overview.md index 4dd73a07f2afe..8cb770131f6db 100644 --- a/articles/service-fabric/service-fabric-diagnostics-overview.md +++ b/articles/service-fabric/service-fabric-diagnostics-overview.md @@ -19,38 +19,43 @@ ms.author: toddabel --- # Monitor and diagnose Azure Service Fabric applications -Monitoring, detecting, diagnosing, and troubleshooting allow for services to continue with minimal disruption to the user experience. While monitoring and diagnostics are critical in an actual deployed production environment, the efficacy will depend on adopting a similar model during development of services to ensure they work when you move to a real-world setup. Service Fabric makes it easy for service developers to implement diagnostics that can seamlessly work across both single-machine local development setups and real-world production cluster setups. +Monitoring, detecting, diagnosing, and troubleshooting allow for services to continue with minimal disruption to the user experience, providing business insights, monitoring resource usage, detecting hardware and software failures or performance issues and diagnosing potential service behavior issues. While monitoring and diagnostics are critical in an actual deployed production environment, the efficacy will depend on adopting a similar model during development of services to ensure they work when you move to a real-world setup. Service Fabric makes it easy for service developers to implement diagnostics that can seamlessly work across both single-machine local development setups and real-world production cluster setups. -Monitoring is a broad term that encompasses instrumenting the code, collecting the instrumentation logs, analyzing the logs, visualizing insights based on the log data, alerting based on log values and insights, monitoring the infrastructure and allowing engineers to detect and diagnose issues that affect their customers. This article is intended to provide an overview of monitoring for Service Fabric clusters hosted in Azure or on premises, deployed on Windows or Linux using .NET. +Monitoring is a broad term that encompasses instrumenting the code, collecting the instrumentation logs, analyzing the logs, visualizing insights based on the log data, alerting based on log values and insights, monitoring the infrastructure and allowing engineers to detect and diagnose issues that affect their customers. This article is intended to provide an overview of monitoring for Service Fabric clusters hosted in Azure or on premises, deployed on Windows or Linux using .NET. Let's start by dividing the problem into three parts +- Instrument code or infrastructure +- Collection of generated events +- Storage, aggregation, visualization and Analysis + +While there are some products that cover all three aspects, many customers choose different technologies for each area. It is important that each plugs together to deliver an end to end monitoring solution for the application. # Monitoring infrastructure -While Service Fabric helps to keep an application running even during infrastructure failures, the application operators need to understand if an error is occurring within their application or is due to a fault in the underlying infrastructure. Monitoring of the infrastructure is needed also needed for capacity planning to know when to add or remove infrastructure. Both the infrastructure and the application that compose a Service Fabric deployment are important to monitor and troubleshoot, though as long as the application is available to customers, some of the infrastructure could be having issues. +While Service Fabric helps to keep an application running even during infrastructure failures, the application operators need to understand if an error is occurring within their application or is due to a fault in the underlying infrastructure. Monitoring of the infrastructure is also needed for capacity planning to know when to add or remove infrastructure. Both the infrastructure and the application that compose a Service Fabric deployment are important to monitor and troubleshoot, though as long as the application is available to customers, some of the infrastructure could be having issues. ## Azure Monitoring -For Azure deployed clusters, [Azure Monitoring](../monitoring-and-diagnostics/toc.md) gives the ability to monitor many of the Azure resources on which a Service Fabric cluster are built. A set of metrics is automatically collected and displayed in the Azure Portal for the [Virtual Machine Scale Set (VMSS)](../monitoring-and-diagnostics/monitoring-supported-metrics#microsoftcomputevirtualmachinescalesets) and individual [VMs](../monitoring-and-diagnostics/monitoring-supported-metrics#microsoftcomputevirtualmachinescalesetsvirtualmachines). This information can be viewed in the Azure portal by selecting the resource group that the Service Fabric cluster is contained within and choosing the VMSS to view. Then choose Metrics within the Monitoring navigation section to view a graph of the values +For Azure deployed clusters, [Azure Monitoring](../monitoring-and-diagnostics/toc.md) gives the ability to monitor many of the Azure resources on which a Service Fabric cluster are built. A set of metrics is automatically collected and displayed in the Azure portal for the [Virtual Machine Scale Set (VMSS)](../monitoring-and-diagnostics/monitoring-supported-metrics.md#microsoftcomputevirtualmachinescalesets) and individual [VMs](../monitoring-and-diagnostics/monitoring-supported-metrics.md#microsoftcomputevirtualmachinescalesetsvirtualmachines). This information can be viewed in the Azure portal by selecting the resource group that the Service Fabric cluster is contained within and choosing the VMSS to view. Then choose Metrics within the Monitoring navigation section to view a graph of the values ![Azure portal view of collected metric information](./media/service-fabric-diagnostics-overview/azure-monitoring-metrics.png) -The charts a can be customized by following the instructions in the article [Overview of Metrics in Microsoft Azure](../monitoring-and-diagnostics/insights-how-to-customize-monitoring.md). Alerts can also be created based on these metrics as described in the article [Use Azure portal to create alerts for Azure services](../monitoring-and-diagnostics/insights-alerts-portal.md). Alerts can be sent to a notification service using web hooks as described in the article [Configure a web hook on an Azure metric alert(../monitoring-and-diagnostics/insights-webhooks-alerts.md). Azure Monitoring supports a single subscription, if support for multiple subscriptions is needed or additional features are needed, [Log Analytics](https://azure.microsoft.com/documentation/services/log-analytics/) part of [Operations Management Suite](https://www.microsoft.com/cloud-platform/operations-management-suite) – Provides a holistic IT management solution for both on-premises and cloud-based infrastructure. Data from Azure Monitoring can be routed directly to Log Analytics so you can see metrics and logs for your entire environment in a single place. +The charts can be customized by following the instructions in the article [Overview of Metrics in Microsoft Azure](../monitoring-and-diagnostics/insights-how-to-customize-monitoring.md). Alerts can also be created based on these metrics as described in the article [Use Azure portal to create alerts for Azure services](../monitoring-and-diagnostics/insights-alerts-portal.md). Alerts can be sent to a notification service using web hooks as described in the article [Configure a web hook on an Azure metric alert(../monitoring-and-diagnostics/insights-webhooks-alerts.md). Azure Monitoring supports a single subscription. If support for multiple subscriptions is needed or additional features are needed, [Log Analytics](https://azure.microsoft.com/documentation/services/log-analytics/) part of [Operations Management Suite](https://www.microsoft.com/cloud-platform/operations-management-suite) provides a holistic IT management solution for both on-premises and cloud-based infrastructure. Data from Azure Monitoring can be routed directly to Log Analytics so you can see metrics and logs for your entire environment in a single place. [Operations Management Suite](https://www.microsoft.com/cloud-platform/operations-management-suite) is the recommended method for monitoring your on premise infrastructure, but any existing solution that your company uses for infrastructure monitoring can also be used. ## Service Fabric Support Logs -If you should need to contact Microsoft support for help with your Azure Service Fabric Cluster, support logs are almost always required. If your cluster is hosted within Azure, these logs are automatically configured and collected as part of creating a cluster. The logs are stored in a dedicated storage account that can be seen in your cluster's resource group. There is no fixed name to the storage account, but within the account you'll see blobs containers and tables starting with 'fabric'. If your cluster is a standalone cluster, you should configured collection of these logs following the guidance in [Create and manage a standalone Azure Service Fabric cluster](service-fabric-cluster-creation-for-windows-server.md) and [Configuration settings for standalone Windows cluster](service-fabric-cluster-manifest.md). For standalone, the logs should be sent to a local file share. You are **required** to have these logs for support, but they are not intended to use usable by anyone outside of the Microsoft customer support team. Using my best Obi Wan Kenobi impression, these are not the logs you are interested in... +If you should need to contact Microsoft support for help with your Azure Service Fabric Cluster, support logs are almost always required. If your cluster is hosted within Azure, these logs are automatically configured and collected as part of creating a cluster. The logs are stored in a dedicated storage account that can be seen in your cluster's resource group. There is no fixed name to the storage account, but within the account you'll see blob containers and tables starting with 'fabric'. If your cluster is a standalone cluster, you should configure collection of these logs following the guidance in [Create and manage a standalone Azure Service Fabric cluster](service-fabric-cluster-creation-for-windows-server.md) and [Configuration settings for standalone Windows cluster](service-fabric-cluster-manifest.md). For standalone Service Fabric, the logs should be sent to a local file share. You are **required** to have these logs for support, but they are not intended to use usable by anyone outside of the Microsoft customer support team. Using my best Obi Wan Kenobi impression, these are not the logs you are interested in... # Instrument your code -Instrumenting the code is the basis for most other aspects of monitoring your services. It is often surprising to people how much instrumentation you will need, but considering that this instrumentation is the one way you have of knowing something is wrong and to diagnose what needs to be fixed, it shouldn't be. While if it technically possible do to, it is very unusual to connect a debugger to a production service, so having detailed instrumentation data is extremely important. When producing this volume of information shipping all events off the local node can be very expensive. Many services have use two part strategy for dealing with the volume of instrumentation data: +Instrumenting the code is the basis for most other aspects of monitoring your services. It is often surprising to people how much instrumentation you will need, but considering that this instrumentation is the only way you have of knowing something is wrong and to diagnose what needs to be fixed, it shouldn't be. While it is technically possible to do, it is very unusual to connect a debugger to a production service, so having detailed instrumentation data is extremely important. When producing this volume of information shipping all events off the local node can be very expensive. Many services use a two-part strategy for dealing with the volume of instrumentation data: * All events are kept in local rolling log file for a short interval of days and only collected when needed for debugging. Typically the events needed for detailed diagnosis are left on the node to reduce costs and resource utilization * Any events indicating service health such as error events, heart beat events or performance events are sent to a central repository where they can be used to raise alerts of an unhealthy service. -The next sections describe different approaches for instrumenting your code and when you should choose one over another. +There are solution that will automatically instrument your code. While these products can work well, manual instrumentation is almost always needed. In the end, you must have enough information to forensically debug the application. The next sections describe different approaches for instrumenting your code and when you should choose one over another. ## EventSource -When you create an Azure Service Fabric solution from a template in Visual Studio, an EventSource derived class (*ServiceEventSource* or *ActorEventSource*) is generated. This provides a template to which can be added additional events that are appropriate for your applicaiton or service. The EventSource name **must** be unique and should be renamed from starting with 'MyCompany-<solution>-<project>'. Having multiple EventSource definitions using the same name will cause an issue at runtime. Each defined event must have a unique identifier. If an identifer is not unique a runtime failure will occur. Often ranges of values are pre-assigned for identifiers to avoid conflicts between separate development teams. +When you create an Azure Service Fabric solution from a template in Visual Studio, an EventSource derived class (*ServiceEventSource* or *ActorEventSource*) is generated. This provides a template to which you can add additional events appropriate for your application or service. The EventSource name **must** be unique and should be renamed from the starting string of 'MyCompany-<solution>-<project>'. Having multiple EventSource definitions using the same name will cause an issue at runtime. Each defined event must have a unique identifier. If an identifer is not unique a runtime failure will occur. Often ranges of values are pre-assigned for identifiers to avoid conflicts between separate development teams. For additional information on EventSource take a look at [Vance's blog](https://blogs.msdn.microsoft.com/vancem/2012/07/09/introduction-tutorial-logging-etw-events-in-c-system-diagnostics-tracing-eventsource/) or the [MSDN documentation](https://msdn.microsoft.com/library/dn774985(v=pandp.20).aspx). ### Using structured EventSource events -Each of the events below are defined for a specific case, a service type was registered for example. Having messages defined in this way allows data to be packaged along with the text of the error. This allows for better searching and filtering based on the names or values of the properties specified. Structuring the instrumentation output makes it easier to consume, but required more thought and time to define a new event for each use case. Some event definitions can be shared across the entire application, e.g. a method start or stop event would be reused across many services within an application. A domain specific service, such as an order system, may have a CreateOrder event, which will have it's own unique event. Often this approach generates lots of events and potentially requires coordination of identifiers across project teams. +Each of the events below is defined for a specific case, a service type was registered for example. Having messages defined in this way allows data to be packaged along with the text of the error. This allows for better searching and filtering based on the names or values of the properties specified. Structuring the instrumentation output makes it easier to consume, but requires more thought and time to define a new event for each use case. Some event definitions can be shared across the entire application, e.g. a method start or stop event would be reused across many services within an application. A domain-specific service, such as an order system, may have a CreateOrder event, which will have its own unique event. Often this approach generates lots of events and potentially requires coordination of identifiers across project teams. For an more complete example of structure EventSources in Service Fabric look at the PartyCluster.ApplicationDeployService within the Party Cluster sample. ```csharp [EventSource(Name = "MyCompany-VotingState-VotingStateService")] @@ -80,7 +85,7 @@ Each of the events below are defined for a specific case, a service type was reg } ``` ### Using EventSource generically -Because defining specific events can be difficult, many people define a small number of events with a common set of parameters that generally output there information as a string. Much of the structured aspect is lost, making it more difficult to search and filter on the results. With this approach, a small number of events usually corresponding to the logging levels are defined. The snipped below defines a debug and error message. +Because defining specific events can be difficult, many people define a small number of events with a common set of parameters that generally output their information as a string. Much of the structured aspect is lost, making it more difficult to search and filter the results. With this approach, a small number of events usually corresponding to the logging levels are defined. The snippet below defines a debug and error message. ```csharp [EventSource(Name = "MyCompany-VotingState-VotingStateService")] internal sealed class ServiceEventSource : EventSource @@ -103,17 +108,18 @@ Because defining specific events can be difficult, many people define a small nu [Event(ErrorEventId, Level = EventLevel.Error, Message = "Error: {0} - {1}")] public void Error(string error, string msg) { - WriteEvent(DebugEventId, error, msg); + WriteEvent(ErrorEventId, error, msg); } ``` +Using a hybrid approach of both structured and generic instrumentation can also work well. In the case structured instrumentation is used for reporting errors and metrics, while generic events can be use for the detailed logging that is consumed by engineers when troubleshooting. ## ASP.NET Core logging -Choosing how to instrument your code can be difficult, if you chose poorly and have to re-instrument, you are revisiting and potentially destabilizing your code base. To reduce the risk, developers can choose a instrumentation library such as [Microsoft.Extensions.Logging](https://www.nuget.org/packages/Microsoft.Extensions.Logging/) provided by ASP.NET Core. This provides an [ILogger](https://docs.microsoft.com/en-us/aspnet/core/api/microsoft.extensions.logging.ilogger) interface that allows the provider of your choice to be used while minimizing the impact to existing code. Another nice aspect of this is that the code can be used not only in .NET Core on Windows and Linux, but in the full framework too, giving the ability to standardize your instrumentation code across .NET and .NET Core. +Choosing how to instrument your code can be difficult, if you chose poorly and have to re-instrument, you are revisiting and potentially destabilizing your code base. To reduce the risk, developers can choose an instrumentation library such as [Microsoft.Extensions.Logging](https://www.nuget.org/packages/Microsoft.Extensions.Logging/) provided by ASP.NET Core. This provides an [ILogger](https://docs.microsoft.com/en-us/aspnet/core/api/microsoft.extensions.logging.ilogger) interface that allows the provider of your choice to be used while minimizing the impact to existing code. Another nice aspect of this is that the code can be used not only in .NET Core on Windows and Linux, but in the full framework too, giving the ability to standardize your instrumentation code across .NET and .NET Core. ### How to use Microsoft.Extensions.Logging within Service Fabric -1. Add the **Microsoft.Extensions.Logging** NuGet package to the project to instrument. You'll also want to add any provider packages, we'll do this for a third party package below. See [Logging in ASP.NET Core](https://docs.microsoft.com/en-us/aspnet/core/fundamentals/logging) for more information -2. Add a using statement for 'Microsoft.Extensions.Logging' to your service class +1. Add the **Microsoft.Extensions.Logging** NuGet package to the project to instrument. You'll also want to add any provider packages, we'll do this for a third-party package below. See [Logging in ASP.NET Core](https://docs.microsoft.com/en-us/aspnet/core/fundamentals/logging) for more information +2. Add a using directive for 'Microsoft.Extensions.Logging' to your service file 3. Define a private variable within your service class ```csharp private ILogger _logger = null; @@ -133,9 +139,9 @@ Choosing how to instrument your code can be difficult, if you chose poorly and h ``` ### Using other logging providers -There are some third party providers that work with this approach, [SeriLog](https://serilog.net/), [NLog](http://nlog-project.org/) and [loggr](https://github.com/imobile3/Loggr.Extensions.Logging) are three examples. Each of these can be plugged into ASP.Net Core Logging and can also be used separately. SeriLog uses has a feature that allows enrichment of all messages sent from a logger, which can be useful to to output the service name, type, partition information. To leverage this capability with in the ASP.NET Core infrastructure, perform the following +There are some third-party providers that work with this approach, [SeriLog](https://serilog.net/), [NLog](http://nlog-project.org/) and [loggr](https://github.com/imobile3/Loggr.Extensions.Logging) are three examples. Each of these can be plugged into ASP.Net Core Logging and can also be used separately. SeriLog has a feature that allows enrichment of all messages sent from a logger, which can be useful to output the service name, type, and partition information. To leverage this capability with in the ASP.NET Core infrastructure, perform the following -1. Add **Serilog**, **Serilog.Extensions.Logging**, **Serilog.Sinks.Observable** NuGet packages to the project. Also add **Serilog.Sinks.Literate** for this example, a better approach is shown later in this article +1. Add **Serilog**, **Serilog.Extensions.Logging**, **Serilog.Sinks.Observable** NuGet packages to the project. Also add **SeriLog.Sinks.Literate** for this example, a better approach is shown later in this article 2. Create a LoggerConfiguration and the logger instance in SeriLog ```csharp Log.Logger = new LoggerConfiguration().WriteTo.LiterateConsole().CreateLogger(); @@ -162,41 +168,41 @@ There are some third party providers that work with this approach, [SeriLog](htt _logger = new LoggerFactory().AddSerilog(serilog.ForContext(properties)).CreateLogger(); } ``` -5. Instrument the code the same as when using ASP.NET Core without SiriLog. +5. Instrument the code the same as when using ASP.NET Core without SeriLog. [!NOTE] It is not recommended that the static Log.Logger be used with this approach because Service Fabric can host multiple instances of the same service type within a single process. This would mean that the last writer of the property enrichers would have their values shown for all instances running. This is one reason why the _logger variable is a private member variable of the service class. This also means that the _logger must be made available to common code that may be used across services. ## Which one should I use? -If your application cares deeply about performance, then EventSource is the best approach to use because it will **generally** use fewer resources and perform better than using ASP.NET Core logging or any of the thrid party solutions. This isn't an issue for many services, but if your service is very performance oriented using EventSource may be a better choice. Of course, to get the same benefits of structure logging, EventSource requires a large investement from the engineering team. The best way to determine what to choose for your project is to do a quick prototype of what you would do for each approach and then choose the approach that best fits your needs. +If your application cares deeply about performance, then EventSource is the best approach to use because it **generally** uses fewer resources and perform better than using ASP.NET Core logging or any of the third-party solutions. This isn't an issue for many services, but if your service is very performance oriented using EventSource may be a better choice. Of course, to get the same benefits of structured logging, EventSource requires a large investment from the engineering team. The best way to determine what to choose for your project is to do a quick prototype of what you would do for each approach and then choose the approach that best fits your needs. # Event and log collection ## Azure Diagnostics -Beyond what Azure Monitoring already provides, Azure also provides a means of collecting events from each of the services to a central location. There are two articles that show how to configure event collection for [Windows](service-fabric-diagnostics-how-to-setup-wad.md) and [Linux](service-fabric-diagnostics-how-to-setup-lad.md). These articles show collecting the event data and sending it to Azure storage. This is very easily done in the portal or ARM template by enabling diagnostics. Turning this on collects a few event sources that Service Fabric automatically produces: +Beyond what Azure Monitoring already provides, Azure also provides a means of collecting events from each of the services to a central location. There are two articles that show how to configure event collection for [Windows](service-fabric-diagnostics-how-to-setup-wad.md) and [Linux](service-fabric-diagnostics-how-to-setup-lad.md). These articles show collecting the event data and sending it to Azure storage. This is very easily done in the portal or Resource Manager template by enabling diagnostics. Turning this on collects a few event sources that Service Fabric automatically produces: - EventSource events and performance counters when using the Reliable Actor programming model. The events are enumerated in the article on [Diagnostic and performance monitoring for Reliable Actors](service-fabric-reliable-actors-diagnostics.md) - EventSource events when using the Reliable Services programming model. The events are enumerated in the article on [Diagnostic functionality for Stateful Reliable Services](service-fabric-reliable-services-diagnostics.md) - System events are emitted as ETW events. There are a large number of events that are emitted from Service Fabric as part of this category they include service placement, start/stop events. The best way to see the events emitted is to use [Visual Studio's diagnostic viewer](service-fabric-diagnostics-how-to-monitor-and-diagnose-services-locally.md) when running on your local machine. Because these events are native ETW events, there are some limitations for how they can be collected - As of the 5.4 release of Service Fabric health and load metric events are also exposed. This allows collection of these events to be used for historical reporting and alerting. These events are also native ETW events and will have some limitations for how they can be collected -When configured, these events will appear in one of the Azure Storage accounts created when the cluster was created, assuming diagnostic was enabled. The tables are named *WADServiceFabricReliableActorEventTable*, *WADServiceFabricReliableServiceEventTable* and *WADServiceFabricSystemEventTable*. The health events are not added by default and require that the ARM template be modified. Refer to [Collect log by using Azure Diagnostics](service-fabric-diagnostics-how-to-setup-wad.md) for details. +When configured, these events appear in one of the Azure Storage accounts created when the cluster was created, assuming diagnostic was enabled. The tables are named *WADServiceFabricReliableActorEventTable*, *WADServiceFabricReliableServiceEventTable* and *WADServiceFabricSystemEventTable*. The health events are not added by default and require that the Resource Manager template be modified. Refer to [Collect log by using Azure Diagnostics](service-fabric-diagnostics-how-to-setup-wad.md) for details. -These articles also show how to get custom events into Azure storage. Any of the existing Azure Diagnostic articles on how to configure performance counters or other monitoring information from a VM to Azure Diagnostics will also work with a Service Fabric cluster. For instance, if Azure table storage as a destination isn't what you want, there is an article on how [Streaming Azure Diagnostics data in the hot path by using Event Hubs](../event-hubs/event-hubs-streaming-azure-diags-data.md). Once the events are in Event Hub, they can be read and sent to the location of your choosing. +These articles also show how to get custom events into Azure Storage. Any of the existing Azure Diagnostic articles on how to configure performance counters or other monitoring information from a VM to Azure Diagnostics will also work with a Service Fabric cluster. For instance, if Azure table storage as a destination isn't what you want, there is an article on how [Streaming Azure Diagnostics data in the hot path by using Event Hubs](../event-hubs/event-hubs-streaming-azure-diags-data.md). Once the events are in Event Hub, they can be read and sent to the location of your choosing. There is also an article on integrating [Azure diagnostic information with Application Insights](https://azure.microsoft.com/blog/azure-diagnostics-integration-with-application-insights/) -One of the downsides of using Azure Diagnostics is that the configuration is done using a resource manager template and therefore occurs at the VMSS level only. A VMSS corresponds to a node type in Service Fabric. This means you must configure each node type for all of the applications and services that may run on a node of that type. This could be a large number of EventSources depending on the number of applications and services configured. Additionally, a resource manager deployment must be done any time the configuration of any application has changed. Ideally, monitoring configuration would travel along with the service configuration. +One of the downsides of using Azure Diagnostics is that the configuration is done using a resource manager template and therefore occurs at the VMSS level only. A VMSS corresponds to a node type in Service Fabric. This means you must configure each node type for all of the applications and services that may run on a node of that type. This could be a large number of EventSources depending on the number of applications and services configured. Additionally, a Resource Manager deployment must be done any time the configuration of any application has changed. Ideally, monitoring configuration would travel along with the service configuration. Azure Diagnostics only works for Service Fabric clusters deployed to Azure, but it works for both Windows and Linux clusters. ## EventFlow -[EventFlow was release by the Visual Studio](service-fabric-diagnostic-collect-logs-without-an-agent.md) team and provides a mechanism for routing events from a node to one or more monitoring destinations. Because it is included as a NuGet package in your service project the code and the configuration for EventFlow travels with the service, eliminating the per node configuration issue mentioned about Azure Diagnostics. EventFlow runs within your service process and directly connects to the configured outputs. Because of this direct connection, EventFlow works for Azure, container or on-premise deployments of a service. Care must be taken when running in high density scenarios such as a container because each EventFlow pipeline will make an external connection, if you are hosting lots of processes, you'll end up with lots of outbound connections! This isn't as much of an issue for Service Fabric applications because all replicas of a ServiceType run within the same process, limiting the number of outbound connections. EventFlow also offers filtering of events, so only the events that match the specified filter are sent. +[EventFlow was released by the Visual Studio](service-fabric-diagnostic-collect-logs-without-an-agent.md) team and provides a mechanism for routing events from a node to one or more monitoring destinations. Because it is included as a NuGet package in your service project the code and the configuration for EventFlow travels with the service, eliminating the per node configuration issue mentioned about Azure Diagnostics. EventFlow runs within your service process and directly connects to the configured outputs. Because of this direct connection, EventFlow works for Azure, container or on-premise deployments of a service. Care must be taken when running in high density scenarios such as a container because each EventFlow pipeline will make an external connection, if you are hosting lots of processes, you'll end up with lots of outbound connections! This isn't as much of an issue for Service Fabric applications because all replicas of a ServiceType run within the same process, limiting the number of outbound connections. EventFlow also offers filtering of events, so only the events that match the specified filter are sent. For detailed information on using EventFlow with Service Fabric, see [Collect logs directly from an Azure Service Fabric service process](service-fabric-diagnostic-collect-logs-without-an-agent.md) [!NOTE] In a future release of Service Fabric an EventSource host application will be made available allowing listening to ETW based inputs, collection of node level metrics and rolling log file support. Using EventFlow is pretty easy 1. Add the NuGet package to your service project -2. Within the service's **main** function create the EventFlow pipeline and configure the outputs. In this case, we're showing using SeriLog as an output +2. Within the service's **Main** function create the EventFlow pipeline and configure the outputs. In this case, we're showing using SeriLog as an output ```csharp internal static class Program { @@ -275,7 +281,7 @@ Using EventFlow is pretty easy "extensions": [] } ``` -In the configuration there are two inputs defined, the two EventSource based sources created by Service Fabric and the EventSource for the service. Notice that the system level and health events that use ETW are not available to EventFlow. This is because a high level privilege is required to listen to an ETW source and services should never run with any high privileges. The other input is SeriLog, it's configuration occurred in the **main** method. There are also some filters applied, the first tells EventFlow to drop all events that are of an event level of verbose. We'll come back to the other filter definition in a minute. There are also two outputs configured, standard output, which will write to the output window within Visual Studio. The other output is ApplicationInsights, just be sure to add your instrumentation key. +In the configuration there are two inputs defined, the two EventSource based sources created by Service Fabric and the EventSource for the service. Notice that the system level and health events that use ETW are not available to EventFlow. This is because a high level privilege is required to listen to an ETW source and services should never run with any high privileges. The other input is SeriLog, it's configuration occurred in the **Main** method. There are also some filters applied, the first tells EventFlow to drop all events that are of an event level of verbose. We'll come back to the other filter definition in a minute. There are also two outputs configured, standard output, which will write to the output window within Visual Studio. The other output is ApplicationInsights, just be sure to add your instrumentation key. 4. The last step is to instrument the code. In this example, we're going to instrument RunAsync in a few different ways as an example. In the code below, we're still using SeriLog and some of the syntax used is specific to SeriLog. Be aware of the specific capabilities for the logging solution you choose. There are three events generated, a debug level event and two informational, the second which is tracking the request duration. With the configuration of EventFlow above, the Debug level event should not flow to the output. @@ -302,28 +308,28 @@ In the configuration there are two inputs defined, the two EventSource based sou ![Application Insights Search view of events](./media/service-fabric-diagnostics-overview/ai-search-events.png) -The trace are at the bottom of the picture. You can see we have only two events, the debug level event was dropped by EventFlow. So what's the request entry just above the trace? It's the third '_logger' instrumentation line that shows the event was translated into a request metric within Application Insights. Let's go back to the filter definition, where the type is 'metadata'. This is declaring that an event that has a property of 'RequestName' with the value 'MyRequest' and that another property, 'Duration' contains the duration of the request in milliseconds. This is what you see in the request event in Application Insights. The same approach works with any of the supported EventFlow inputs including EventSource. +The traces are at the bottom of the picture. You can see we have only two events, the debug level event was dropped by EventFlow. So what's the request entry just above the trace? It's the third '_logger' instrumentation line that shows the event was translated into a request metric within Application Insights. Let's go back to the filter definition, where the type is 'metadata'. This is declaring that an event that has a property of 'RequestName' with the value 'MyRequest' and that another property, 'Duration' contains the duration of the request in milliseconds. This is what you see in the request event in Application Insights. The same approach works with any of the supported EventFlow inputs including EventSource. -If the cluster is a standalone cluster that cannot for be connected to a cloud based solution for policy reasons, EventFlow supports Elastic Search as an output, but other outputs can be written and pull requests are encouraged. Some of the third party providers for ASP.NET Core logging also have solutions that will support on premise installations. +If the cluster is a standalone cluster that cannot be connected to a cloud-based solution for policy reasons, EventFlow supports Elastic Search as an output, but other outputs can be written and pull requests are encouraged. Some of the third-party providers for ASP.NET Core logging also have solutions that support on-premises installations. # Azure Service Fabric health and load reporting -Service Fabric has it's own health model that is described in detail in a few articles -- [Introduction to Service Fabric health monitoring](service-fabric/service-fabric-health-introduction.md) +Service Fabric has its own health model that is described in detail in a few articles +- [Introduction to Service Fabric health monitoring](service-fabric-health-introduction.md) - [Report and check service health](service-fabric-diagnostics-how-to-report-and-check-service-health.md) -- [Add custom Service Fabric health reports](service-fabric/service-fabric-report-health.md) +- [Add custom Service Fabric health reports](service-fabric-report-health.md) - [View Service Fabric health reports](service-fabric-view-entities-aggregated-health.md) -Health monitoring is critical to various aspects of operating a service. Most importantly is when Service Fabric is performing an upgrade, after each service has been upgraded and is made available to a subset of your customers, health checks must be passing before moving to the next upgrade domain. If good health cannot be achieved, the deployment will be rolled back leaving the application is a known good state. While some customers were impacted before the services could be rolled back, most customers didn't experience an issue. Also the resolution occurred relatively quickly and without having to wait for action from an human operator. The more health checks that are incorporated into the code, the more resilient the service will be to deployment issues. +Health monitoring is critical to various aspects of operating a service. Most importantly is when Service Fabric is performing a named application upgrade, after each upgrade domain of the service has been upgraded and is made available to your customers, health checks must pass before moving to the next upgrade domain. If good health cannot be achieved, the deployment is rolled back leaving the application in a known good state. While some customers were impacted before the services could be rolled back, most customers didn't experience an issue. Also, the resolution occurred relatively quickly and without having to wait for action from a human operator. The more health checks that are incorporated into the code, the more resilient the service is to deployment issues. -Another aspect of service health is reporting metrics from the service. Metrics are important in Service Fabric because they are used to balance resource usage and can be used as an indicator of system health. Let's say your application contains many services and each instance reports a Request Per Second (RPS) metric. If one of the service is using more resources than another service, Service Fabric will move service instances around the cluster trying to maintain even resource utilization. The article [Managing resource consumption and load in Service Fabric with metrics](service-fabric-cluster-resource-manager-metrics) provides a detailed explanation of how this works. +Another aspect of service health is reporting metrics from the service. Metrics are important in Service Fabric because they are used to balance resource usage and can be used as an indicator of system health. Let's say your application contains many services and each instance reports a Request Per Second (RPS) metric. If one of the services is using more resources than another service, Service Fabric will move service instances around the cluster trying to maintain even resource utilization. The article [Managing resource consumption and load in Service Fabric with metrics](service-fabric-cluster-resource-manager-metrics.md) provides a detailed explanation of how this works. Metrics also give insight into how your service is performing and over time can be used to check that the service is operating within expected parameters. For instance, if based on trends, at 9am on Monday morning the average RPS is 1000, then you may setup a health report that alerts if the RPS is below 500 or above 1500. Everything may be perfectly fine, but it may be worth a look to ensure your customers are having a great experience. Your service can define a set of metrics that can be reported for health purposes, but does not affect the resource balancing of the cluster, just set the metric weight to zero. We recommend that you start all metric with a weight of zero and don't increase the weight until you are sure that you understand how this will impact resource balancing for your cluster. [!TIP] -Take care not to have too main weighted metrics, it can be difficult to understand why service instances are being moved around, a few metrics can go a long way! +Take care not to have too many weighted metrics, it can be difficult to understand why service instances are being moved around, a few metrics can go a long way! -Candidates for metrics and health reports are anything that can indicate the health and performance of your application. A CPU performance counter can tell you how utilized your node is, but it doesn't really say if a particular service is health or not because multiple services will be running on a single node. On the other hand a metric such as RPS or items processed or request latency can all indicate the health of a particular service. +Candidates for metrics and health reports are anything that can indicate the health and performance of your application. A CPU performance counter can tell you how utilized your node is, but it doesn't really say if a particular service is healthy or not because multiple services will be running on a single node. On the other hand, a metric such as RPS or items processed or request latency can all indicate the health of a particular service. To report health, add code such as @@ -345,10 +351,10 @@ this.ServicePartition.ReportLoad(new List { new LoadMetric("MemoryIn A watchdog is a separate service that can watch health and load across services and report health for anything in the health model hierarchy. This can help to prevent errors that would not be detected based on the view of a single service. Watchdogs are also a good place to host code that can perform remediation actions for known conditions without any human interaction. # Visualization, Analysis and Alerting -The last part of monitoring is visualizing the event stream, reporting on service performance and alerting when an issue is detected. There are a lot of solutions that are used for this aspect of monitoring, Application Insights and OMS can be used to alert based on the stream of events. PowerBI or a third party solution such as [Kibana](https://www.elastic.co/products/kibana) or [Splunk](https://www.splunk.com/) can be used for visualizing the data. +The last part of monitoring is visualizing the event stream, reporting on service performance and alerting when an issue is detected. There are a lot of solutions that are used for this aspect of monitoring, Application Insights and OMS can be used to alert based on the stream of events. PowerBI or a third-party solution such as [Kibana](https://www.elastic.co/products/kibana) or [Splunk](https://www.splunk.com/) can be used for visualizing the data. ## Next steps -* [Azure Monitoring Overview](../monitoring-and-diagnostics/monitoring-overview.md) * [How to collect logs with Azure Diagnostics](service-fabric-diagnostics-how-to-setup-wad.md) -* [Using ElasticSearch as a Service Fabric application trace store](service-fabric-diagnostic-how-to-use-elasticsearch.md) +* [Collect logs directly from an Azure Service Fabric service process](service-fabric-diagnostic-collect-logs-without-an-agent.md) +* [Managing resource consumption and load in Service Fabric with metrics](service-fabric-cluster-resource-manager-metrics.md) From f532f1aea9b8c4be6707862be4001099aa3c1d32 Mon Sep 17 00:00:00 2001 From: TerryLanfear Date: Thu, 2 Feb 2017 15:23:03 -0800 Subject: [PATCH 37/90] reviewed articles for freshness --- .../security-center-add-next-generation-firewall.md | 6 +++--- .../security-center-apply-disk-encryption.md | 6 +++--- .../security-center-apply-system-updates.md | 6 +++--- ...security-center-enable-network-security-groups.md | 12 ++++++------ ...rity-center-enable-transparent-data-encryption.md | 10 +++++----- .../security-center-enable-vm-agent.md | 6 +++--- articles/security-center/security-center-pricing.md | 6 +++--- ...curity-center-provide-security-contact-details.md | 8 ++++---- .../security-center-remediate-os-vulnerabilities.md | 12 ++++++------ .../security-center/security-center-sql-database.md | 2 +- 10 files changed, 37 insertions(+), 37 deletions(-) diff --git a/articles/security-center/security-center-add-next-generation-firewall.md b/articles/security-center/security-center-add-next-generation-firewall.md index 9866abea2f222..b175a472bf41d 100644 --- a/articles/security-center/security-center-add-next-generation-firewall.md +++ b/articles/security-center/security-center-add-next-generation-firewall.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 10/26/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -22,8 +22,8 @@ Azure Security Center may recommend that you add a next generation firewall (NGF > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. -> -> +> +> ## Implement the recommendation 1. In the **Recommendations** blade, select **Add a Next Generation Firewall**. diff --git a/articles/security-center/security-center-apply-disk-encryption.md b/articles/security-center/security-center-apply-disk-encryption.md index c942014bf2999..64a2a5fa03b30 100644 --- a/articles/security-center/security-center-apply-disk-encryption.md +++ b/articles/security-center/security-center-apply-disk-encryption.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 11/01/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -24,8 +24,8 @@ Disk Encryption leverages the industry standard [BitLocker](https://technet.micr > [!NOTE] > Azure Disk Encryption is supported on the following Windows server operating systems - Windows Server 2008 R2, Windows Server 2012, and Windows Server 2012 R2. Disk encryption is supported on the following Linux server operating systems - Ubuntu, CentOS, SUSE and SUSE Linux Enterprise Server (SLES). -> -> +> +> ## Implement the recommendation 1. In the **Recommendations** blade, select **Apply disk encryption**. diff --git a/articles/security-center/security-center-apply-system-updates.md b/articles/security-center/security-center-apply-system-updates.md index dd5e69018c668..c31aff000207f 100644 --- a/articles/security-center/security-center-apply-system-updates.md +++ b/articles/security-center/security-center-apply-system-updates.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 11/01/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -22,8 +22,8 @@ Azure Security Center monitors daily Windows and Linux virtual machines (VMs) f > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. -> -> +> +> ## Implement the recommendation 1. In the **Recommendations** blade, select **Apply system updates**. diff --git a/articles/security-center/security-center-enable-network-security-groups.md b/articles/security-center/security-center-enable-network-security-groups.md index 0ba7899c9ac54..9df12b717340f 100644 --- a/articles/security-center/security-center-enable-network-security-groups.md +++ b/articles/security-center/security-center-enable-network-security-groups.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 11/01/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -24,19 +24,19 @@ If you do not have NSGs enabled, Security Center will present two recommendation > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. -> -> +> +> ## Implement the recommendation 1. In the **Recommendations** blade, select **Enable Network Security Groups** on subnets or on virtual machines. ![Enable Network Security Groups][1] 2. This opens the blade **Configure Missing Network Security Groups** for subnets or for virtual machines, depending on the recommendation that you selected. Select a subnet or a virtual machine to configure a NSG on. - + ![Configure NSG for subnet][2] - + ![Configure NSG for VM][3] 3. On the **Choose network security group** blade select an existing NSG or select to create a new NSG. - + ![Choose Network Security Group][4] If you create a new NSG, follow the steps in [How to manage NSGs using the Azure portal](../virtual-network/virtual-networks-create-nsg-arm-pportal.md) to create a NSG and set security rules. diff --git a/articles/security-center/security-center-enable-transparent-data-encryption.md b/articles/security-center/security-center-enable-transparent-data-encryption.md index f7ed98c2e997e..5f965859ec224 100644 --- a/articles/security-center/security-center-enable-transparent-data-encryption.md +++ b/articles/security-center/security-center-enable-transparent-data-encryption.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 11/01/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -24,8 +24,8 @@ This recommendation applies to the Azure SQL service only; doesn't include SQL r > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. -> -> +> +> ## Implement the recommendation 1. In the **Recommendations** blade, select **Enable Transparent Data Encryption**. @@ -34,9 +34,9 @@ This recommendation applies to the Azure SQL service only; doesn't include SQL r ![Select SQL DB to enable TDE on][2] 3. On the **Transparent data encryption** blade, select **ON** under Data encryption and select **Save** in the top ribbon of the blade. ![Turn on TDE][3] - + Once TDE is enabled on the selected SQL database, the **Encryption status** will change to **Encrypted**. - + ![Encryption status][4] ## See also diff --git a/articles/security-center/security-center-enable-vm-agent.md b/articles/security-center/security-center-enable-vm-agent.md index c22526efe0c1b..1f6cfabd67d45 100644 --- a/articles/security-center/security-center-enable-vm-agent.md +++ b/articles/security-center/security-center-enable-vm-agent.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 10/17/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -24,8 +24,8 @@ The VM Agent is installed by default for VMs that are deployed from the Azure Ma > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. -> -> +> +> ## Implement the recommendation 1. In the **Recommendations blade**, select **Enable VM Agent**. diff --git a/articles/security-center/security-center-pricing.md b/articles/security-center/security-center-pricing.md index 2dfe74c8d2ce6..662baab5b6a74 100644 --- a/articles/security-center/security-center-pricing.md +++ b/articles/security-center/security-center-pricing.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 10/12/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -30,8 +30,8 @@ For more information, see the Security Center [pricing page](https://azure.micro > [!NOTE] > Security Center uses Azure storage to save security data generated from your protected nodes. Costs associated with this storage are not included in the price of the service and are charged separately at regular [Azure storage rates](https://azure.microsoft.com/pricing/details/storage/blobs/). Storage charges apply even during the trial. -> -> +> +> ## Try Standard free for 90 days A 90 day free trial is available for the Standard tier. To get the free trial of the Standard tier, select the **Policy** tile on the **Security Center** blade. Select the subscription that you want to upgrade to Standard. On the **Security policy** blade, select **Pricing tier**. On the **Choose your pricing tier** blade, select **Standard – Free Trial**. diff --git a/articles/security-center/security-center-provide-security-contact-details.md b/articles/security-center/security-center-provide-security-contact-details.md index c323073477cb9..e9acbb10b6579 100644 --- a/articles/security-center/security-center-provide-security-contact-details.md +++ b/articles/security-center/security-center-provide-security-contact-details.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 10/17/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -24,8 +24,8 @@ An email notification is sent on the first daily occurrence of an alert and only > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. -> -> +> +> ## Implement the recommendation 1. In the **Recommendations** blade, select **Provide security contact details**. @@ -33,7 +33,7 @@ An email notification is sent on the first daily occurrence of an alert and only 2. This opens the blade **Provide security contact details**. Select the Azure subscription to provide contact information on. ![Provide security contact details][2] 3. A second **Provide security contact details** blade opens. - + * Enter the security contact email address or addresses separated by commas. There is not a limit to the number of email addresses that you can enter. * Enter one security contact international phone number. * To receive emails about high severity alerts, turn on the option **Send me emails about alerts**. diff --git a/articles/security-center/security-center-remediate-os-vulnerabilities.md b/articles/security-center/security-center-remediate-os-vulnerabilities.md index 54fa5d2f04173..b071e31d3f76e 100644 --- a/articles/security-center/security-center-remediate-os-vulnerabilities.md +++ b/articles/security-center/security-center-remediate-os-vulnerabilities.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 10/17/2016 +ms.date: 02/02/2017 ms.author: terrylan --- @@ -22,19 +22,19 @@ Azure Security Center analyzes daily your virtual machine (VM) operating system > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. -> -> +> +> ## Implement the recommendation 1. In the **Recommendations** blade, select **Remediate OS vulnerabilities**. ![Remediate OS vulnerabilities][1] - + The **Remediate OS vulnerabilities** blade opens and lists your VMs with OS configurations that do not match the recommended configuration rules. For each VM, the blade identifies: - + * **FAILED RULES** -- The number of rules that the VM's OS configuration failed. * **LAST SCAN TIME** -- The date and time that Security Center last scanned the VM’s OS configuration. * **STATE** -- The current state of the vulnerability: - + * Open: The vulnerability has not been addressed yet * In Progress: The vulnerability is currently being applied, no action is required by you * Resolved: The vulnerability was already addressed (when the issue has been resolved, the entry is grayed out) diff --git a/articles/security-center/security-center-sql-database.md b/articles/security-center/security-center-sql-database.md index 211df7438122d..91bcfbce0436a 100644 --- a/articles/security-center/security-center-sql-database.md +++ b/articles/security-center/security-center-sql-database.md @@ -13,7 +13,7 @@ ms.devlang: na ms.topic: article ms.tgt_pltfrm: na ms.workload: na -ms.date: 10/18/2016 +ms.date: 02/02/2017 ms.author: terrylan --- From 0046a088f908a8cfdcab2cf6baad62524def6468 Mon Sep 17 00:00:00 2001 From: TerryLanfear Date: Thu, 2 Feb 2017 15:47:28 -0800 Subject: [PATCH 38/90] updates per Acrolinx --- ...security-center-add-next-generation-firewall.md | 14 +++++++------- ...curity-center-enable-network-security-groups.md | 10 +++++----- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/articles/security-center/security-center-add-next-generation-firewall.md b/articles/security-center/security-center-add-next-generation-firewall.md index b175a472bf41d..38918a6cbd311 100644 --- a/articles/security-center/security-center-add-next-generation-firewall.md +++ b/articles/security-center/security-center-add-next-generation-firewall.md @@ -18,7 +18,7 @@ ms.author: terrylan --- # Add a Next Generation Firewall in Azure Security Center -Azure Security Center may recommend that you add a next generation firewall (NGFW) from a Microsoft partner in order to increase your security protections. This document walks you through an example of how to do this. +Azure Security Center may recommend that you add a next generation firewall (NGFW) from a Microsoft partner to increase your security protections. This document walks you through an example of how to do this. > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. @@ -30,21 +30,21 @@ Azure Security Center may recommend that you add a next generation firewall (NGF ![Add a Next Generation Firewall][1] 2. In the **Add a Next Generation Firewall** blade, select an endpoint. ![Select an endpoint][2] -3. A second **Add a Next Generation Firewall** blade opens. You can choose to use an existing solution if available or you can create a new one. In this example there are no existing solutions available so we'll create a new NGFW. - ![Create new Next Generation Firewall][3] -4. To create a new NGFW, select a solution from the list of integrated partners. In this example we will select **Check Point**. +3. A second **Add a Next Generation Firewall** blade opens. You can choose to use an existing solution if available or you can create a new one. In this example, there are no existing solutions available so we create an NGFW. + ![Create Next Generation Firewall][3] +4. To create an NGFW, select a solution from the list of integrated partners. In this example, we select **Check Point**. ![Select Next Generation Firewall solution][4] 5. The **Check Point** blade opens providing you information about the partner solution. Select **Create** in the information blade. ![Firewall information blade][5] -6. The **Create virtual machine** blade opens. Here you can enter information required to spin up a virtual machine (VM) that will run the NGFW. Follow the steps and provide the NGFW information required. Select OK to apply. +6. The **Create virtual machine** blade opens. Here you can enter information required to spin up a virtual machine (VM) that runs the NGFW. Follow the steps and provide the NGFW information required. Select OK to apply. ![Create virtual machine to run NGFW][6] ## Route traffic through NGFW only -Return to the **Recommendations** blade. A new entry was generated after you added a NGFW via Security Center, called **Route traffic through NGFW only**. This recommendation is created only if you installed your NGFW through Security Center. If you have Internet-facing endpoints, Security Center will recommend that you configure Network Security Group rules that force inbound traffic to your VM through your NGFW. +Return to the **Recommendations** blade. A new entry was generated after you added an NGFW via Security Center, called **Route traffic through NGFW only**. This recommendation is created only if you installed your NGFW through Security Center. If you have Internet-facing endpoints, Security Center recommends that you configure Network Security Group rules that force inbound traffic to your VM through your NGFW. 1. In the **Recommendations blade**, select **Route traffic through NGFW only**. ![Route traffic through NGFW only][7] -2. This opens the blade **Route traffic through NGFW only** which lists VMs that you can route traffic to. Select a VM from the list. +2. This opens the blade **Route traffic through NGFW only**, which lists VMs that you can route traffic to. Select a VM from the list. ![Select a VM][8] 3. A blade for the selected VM opens, displaying related inbound rules. A description provides you with more information on possible next steps. Select **Edit inbound rules** to proceed with editing an inbound rule. The expectation is that **Source** is not set to **Any** for the Internet-facing endpoints linked with the NGFW. To learn more about the properties of the inbound rule, see [NSG rules](../virtual-network/virtual-networks-nsg.md#nsg-rules). ![Configure rules to limit access][9] diff --git a/articles/security-center/security-center-enable-network-security-groups.md b/articles/security-center/security-center-enable-network-security-groups.md index 9df12b717340f..295d49aa24e4f 100644 --- a/articles/security-center/security-center-enable-network-security-groups.md +++ b/articles/security-center/security-center-enable-network-security-groups.md @@ -18,9 +18,9 @@ ms.author: terrylan --- # Enable Network Security Groups in Azure Security Center -Azure Security Center will recommend that you enable a network security group (NSG) if one is not already enabled. NSGs contain a list of Access Control List (ACL) rules that allow or deny network traffic to your VM instances in a Virtual Network. NSGs can be associated with either subnets or individual VM instances within that subnet. When a NSG is associated with a subnet, the ACL rules apply to all the VM instances in that subnet. In addition, traffic to an individual VM can be restricted further by associating a NSG directly to that VM. To learn more see [What is a Network Security Group (NSG)?](../virtual-network/virtual-networks-nsg.md) +Azure Security Center recommends that you enable a network security group (NSG) if one is not already enabled. NSGs contain a list of Access Control List (ACL) rules that allow or deny network traffic to your VM instances in a Virtual Network. NSGs can be associated with either subnets or individual VM instances within that subnet. When an NSG is associated with a subnet, the ACL rules apply to all the VM instances in that subnet. In addition, traffic to an individual VM can be restricted further by associating an NSG directly to that VM. To learn more see [What is a Network Security Group (NSG)?](../virtual-network/virtual-networks-nsg.md) -If you do not have NSGs enabled, Security Center will present two recommendations to you: Enable Network Security Groups on subnets and Enable Network Security Groups on virtual machines. You choose which level, subnet or VM, to apply NSGs. +If you do not have NSGs enabled, Security Center presents two recommendations to you: Enable Network Security Groups on subnets and Enable Network Security Groups on virtual machines. You choose which level, subnet or VM, to apply NSGs. > [!NOTE] > This document introduces the service by using an example deployment. This is not a step-by-step guide. @@ -30,16 +30,16 @@ If you do not have NSGs enabled, Security Center will present two recommendation ## Implement the recommendation 1. In the **Recommendations** blade, select **Enable Network Security Groups** on subnets or on virtual machines. ![Enable Network Security Groups][1] -2. This opens the blade **Configure Missing Network Security Groups** for subnets or for virtual machines, depending on the recommendation that you selected. Select a subnet or a virtual machine to configure a NSG on. +2. This opens the blade **Configure Missing Network Security Groups** for subnets or for virtual machines, depending on the recommendation that you selected. Select a subnet or a virtual machine to configure an NSG on. ![Configure NSG for subnet][2] ![Configure NSG for VM][3] -3. On the **Choose network security group** blade select an existing NSG or select to create a new NSG. +3. On the **Choose network security group** blade, select an existing NSG or select **Create new** to create an NSG. ![Choose Network Security Group][4] -If you create a new NSG, follow the steps in [How to manage NSGs using the Azure portal](../virtual-network/virtual-networks-create-nsg-arm-pportal.md) to create a NSG and set security rules. +If you create an NSG, follow the steps in [How to manage NSGs using the Azure portal](../virtual-network/virtual-networks-create-nsg-arm-pportal.md) to create an NSG and set security rules. ## See also This article showed you how to implement the Security Center recommendation "Enable Network Security Groups" for subnets or virtual machines. To learn more about enabling NSGs, see the following: From 6e44aedb4b2e184fa47ad965802b1172c5a8c8ad Mon Sep 17 00:00:00 2001 From: TerryLanfear Date: Thu, 2 Feb 2017 15:58:05 -0800 Subject: [PATCH 39/90] fixes per Acrolinx --- .../security-center-apply-disk-encryption.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/articles/security-center/security-center-apply-disk-encryption.md b/articles/security-center/security-center-apply-disk-encryption.md index 64a2a5fa03b30..c0d8e0032e6c2 100644 --- a/articles/security-center/security-center-apply-disk-encryption.md +++ b/articles/security-center/security-center-apply-disk-encryption.md @@ -18,31 +18,31 @@ ms.author: terrylan --- # Apply disk encryption in Azure Security Center -Azure Security Center will recommend that you apply disk encryption if you have Windows or Linux VM disks that are not encrypted using Azure Disk Encryption. Disk Encryption lets you encrypt your Windows and Linux IaaS VM disks. Encryption is recommended for both the OS and data volumes on your VM. +Azure Security Center recommends that you apply disk encryption if you have Windows or Linux VM disks that are not encrypted using Azure Disk Encryption. Disk Encryption lets you encrypt your Windows and Linux IaaS VM disks. Encryption is recommended for both the OS and data volumes on your VM. -Disk Encryption leverages the industry standard [BitLocker](https://technet.microsoft.com/library/cc732774.aspx) feature of Windows and the [DM-Crypt](https://en.wikipedia.org/wiki/Dm-crypt) feature of Linux to provide OS and data encryption to help protect and safeguard your data and meet your organizational security and compliance commitments. Disk Encryption is integrated with [Azure Key Vault](https://azure.microsoft.com/documentation/services/key-vault/) to help you control and manage the disk encryption keys and secrets in your Key Vault subscription, while ensuring that all data in the VM disks are encrypted at rest in your [Azure Storage](https://azure.microsoft.com/documentation/services/storage/). +Disk Encryption uses the industry standard [BitLocker](https://technet.microsoft.com/library/cc732774.aspx) feature of Windows and the [DM-Crypt](https://en.wikipedia.org/wiki/Dm-crypt) feature of Linux. These features provide OS and data encryption to help protect and safeguard your data and meet your organizational security and compliance commitments. Disk Encryption is integrated with [Azure Key Vault](https://azure.microsoft.com/documentation/services/key-vault/) to help you control and manage the disk encryption keys and secrets in your Key Vault subscription, while ensuring that all data in the VM disks are encrypted at rest in your [Azure Storage](https://azure.microsoft.com/documentation/services/storage/). > [!NOTE] -> Azure Disk Encryption is supported on the following Windows server operating systems - Windows Server 2008 R2, Windows Server 2012, and Windows Server 2012 R2. Disk encryption is supported on the following Linux server operating systems - Ubuntu, CentOS, SUSE and SUSE Linux Enterprise Server (SLES). +> Azure Disk Encryption is supported on the following Windows server operating systems - Windows Server 2008 R2, Windows Server 2012, and Windows Server 2012 R2. Disk encryption is supported on the following Linux server operating systems - Ubuntu, CentOS, SUSE, and SUSE Linux Enterprise Server (SLES). > > ## Implement the recommendation 1. In the **Recommendations** blade, select **Apply disk encryption**. -2. In the **Apply disk encryption** blade, you will see a list of VMs for which Disk Encryption is recommended. +2. In the **Apply disk encryption** blade, you see a list of VMs for which Disk Encryption is recommended. 3. Follow the instructions to apply encryption to these VMs. ![][1] To encrypt Azure Virtual Machines that have been identified by Security Center as needing encryption, we recommend the following steps: -* Install and configure Azure PowerShell. This will enable you to run the PowerShell commands required to set up the prerequisites required to encrypt Azure Virtual Machines. +* Install and configure Azure PowerShell. This enables you to run the PowerShell commands required to set up the prerequisites required to encrypt Azure Virtual Machines. * Obtain and run the Azure Disk Encryption Prerequisites Azure PowerShell script. * Encrypt your virtual machines. -[Encrypt an Azure Virtual Machine](security-center-disk-encryption.md) will walk you through these steps. This topic assumes you are using Windows 10 as the client machine from which you will configure disk encryption. +[Encrypt an Azure Virtual Machine](security-center-disk-encryption.md) walks you through these steps. This topic assumes you are using Windows 10 as the client machine from which you configure disk encryption. -There are many approaches that can be used to setup the prerequisites and to configure encryption for Azure Virtual Machines. If you are already well-versed in Azure PowerShell or Azure CLI, then you may prefer to use alternate approaches. To learn about these other approaches see [Azure disk encryption](../security/azure-security-disk-encryption.md). +There are many approaches that can be used for Azure Virtual Machines. If you are already well-versed in Azure PowerShell or Azure CLI, then you may prefer to use alternate approaches. To learn about these other approaches, see [Azure disk encryption](../security/azure-security-disk-encryption.md). ## See also This document showed you how to implement the Security Center recommendation "Apply disk encryption." To learn more about disk encryption, see the following: From 53ef7d23d58f414f0caed1f2e522446015acc610 Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 16:02:20 -0800 Subject: [PATCH 40/90] Update linux-create-upload-ubuntu --- ...ual-machines-linux-create-upload-ubuntu.md | 62 ++++++++++++++----- 1 file changed, 46 insertions(+), 16 deletions(-) diff --git a/articles/virtual-machines/virtual-machines-linux-create-upload-ubuntu.md b/articles/virtual-machines/virtual-machines-linux-create-upload-ubuntu.md index b8730dad3fcfb..975e47ee29dec 100644 --- a/articles/virtual-machines/virtual-machines-linux-create-upload-ubuntu.md +++ b/articles/virtual-machines/virtual-machines-linux-create-upload-ubuntu.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 08/24/2016 +ms.date: 02/02/2017 ms.author: szark --- @@ -41,27 +41,37 @@ This article assumes that you have already installed an Ubuntu Linux operating s ## Manual steps > [!NOTE] -> Before creating your own custom Ubuntu image for Azure, please consider using the images from [http://cloud-images.ubuntu.com/](http://cloud-images.ubuntu.com/) instead. +> Before attempting to create your own custom Ubuntu image for Azure, please consider using the pre-built and tested images from [http://cloud-images.ubuntu.com/](http://cloud-images.ubuntu.com/) instead. > > 1. In the center pane of Hyper-V Manager, select the virtual machine. + 2. Click **Connect** to open the window for the virtual machine. + 3. Replace the current repositories in the image to use Ubuntu's Azure repos. The steps vary slightly depending on the Ubuntu version. - Before editing /etc/apt/sources.list, it is recommended to make a backup: + Before editing /etc/apt/sources.list, it is recommended to make a backup: - # sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak - Ubuntu 12.04: + # sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak + + Ubuntu 12.04: - # sudo sed -i "s/[a-z][a-z].archive.ubuntu.com/azure.archive.ubuntu.com/g" /etc/apt/sources.list - # sudo apt-get update - Ubuntu 14.04: + # sudo sed -i 's/[a-z][a-z].archive.ubuntu.com/azure.archive.ubuntu.com/g' /etc/apt/sources.list + # sudo apt-get update + + Ubuntu 14.04: - # sudo sed -i "s/[a-z][a-z].archive.ubuntu.com/azure.archive.ubuntu.com/g" /etc/apt/sources.list - # sudo apt-get update -4. The Ubuntu Azure images are now following the *hardware enablement* (HWE) kernel. Update the operating system to the latest kernel by running the following commands: + # sudo sed -i 's/[a-z][a-z].archive.ubuntu.com/azure.archive.ubuntu.com/g' /etc/apt/sources.list + # sudo apt-get update + + Ubuntu 16.04: + # sudo sed -i 's/[a-z][a-z].archive.ubuntu.com/azure.archive.ubuntu.com/g' /etc/apt/sources.list + # sudo apt-get update + +4. The Ubuntu Azure images are now following the *hardware enablement* (HWE) kernel. Update the operating system to the latest kernel by running the following commands: + Ubuntu 12.04: # sudo apt-get update @@ -79,22 +89,42 @@ This article assumes that you have already installed an Ubuntu Linux operating s (recommended) sudo apt-get dist-upgrade # sudo reboot + + Ubuntu 16.04: + + # sudo apt-get update + # sudo apt-get install linux-generic-hwe-16.04 linux-cloud-tools-generic-hwe-16.04 + (recommended) sudo apt-get dist-upgrade + + # sudo reboot + + See also: + - [https://wiki.ubuntu.com/Kernel/LTSEnablementStack](https://wiki.ubuntu.com/Kernel/LTSEnablementStack) + - [https://wiki.ubuntu.com/Kernel/RollingLTSEnablementStack](https://wiki.ubuntu.com/Kernel/RollingLTSEnablementStack) + + 5. Modify the kernel boot line for Grub to include additional kernel parameters for Azure. To do this open "/etc/default/grub" in a text editor, find the variable called `GRUB_CMDLINE_LINUX_DEFAULT` (or add it if needed) and edit it to include the following parameters: GRUB_CMDLINE_LINUX_DEFAULT="console=tty1 console=ttyS0,115200n8 earlyprintk=ttyS0,115200 rootdelay=300" - - Save and close this file, and then run '`sudo update-grub`'. This will ensure all console messages are sent to the first serial port, which can assist Azure technical support with debugging issues. + + Save and close this file, and then run "`sudo update-grub`". This will ensure all console messages are sent to the first serial port, which can assist Azure technical support with debugging issues. + 6. Ensure that the SSH server is installed and configured to start at boot time. This is usually the default. + 7. Install the Azure Linux Agent: - # sudo apt-get update - # sudo apt-get install walinuxagent - Note that installing the `walinuxagent` package will remove the `NetworkManager` and `NetworkManager-gnome` packages, if they are installed. + # sudo apt-get update + # sudo apt-get install walinuxagent + + >[!Note] + The `walinuxagent` package may remove the `NetworkManager` and `NetworkManager-gnome` packages, if they are installed. + 8. Run the following commands to deprovision the virtual machine and prepare it for provisioning on Azure: # sudo waagent -force -deprovision # export HISTSIZE=0 # logout + 9. Click **Action -> Shut Down** in Hyper-V Manager. Your Linux VHD is now ready to be uploaded to Azure. ## Next steps From fd4603d7bcbd1d243c6dd37d810040ff0ee1b3ae Mon Sep 17 00:00:00 2001 From: TerryLanfear Date: Thu, 2 Feb 2017 16:02:48 -0800 Subject: [PATCH 41/90] fixes per Acrolinx --- articles/security-center/security-center-pricing.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/security-center/security-center-pricing.md b/articles/security-center/security-center-pricing.md index 662baab5b6a74..cd1e12915924b 100644 --- a/articles/security-center/security-center-pricing.md +++ b/articles/security-center/security-center-pricing.md @@ -38,7 +38,7 @@ A 90 day free trial is available for the Standard tier. To get the free trial of ![Free trial][1] -At the end of 90 days, should you choose to continue using the service, we will automatically start charging for usage. +At the end of 90 days, should you choose to continue using the service, we automatically start charging for usage. ## Upgrade to Standard Upgrade to the Standard tier to add advanced threat detection. To get the Standard tier, select the **Policy** tile on the **Security Center** blade. Select the subscription that you want to upgrade to Standard. On the **Security policy** blade, select **Pricing tier**. On the **Choose your pricing tier** blade, select **Standard**. @@ -48,7 +48,7 @@ Upgrade to the Standard tier to add advanced threat detection. To get the Standa ## Why upgrade to Standard? The Standard tier of Security Center provides all features of the Free tier plus advanced threat detection. Advanced threat detection helps identify active threats targeting your Azure resources and provides you with the insights needed to respond quickly. -Security Center employs advanced security analytics, which go far beyond signature-based approaches. Breakthroughs in big data and machine learning technologies are leveraged to evaluate events across the entire cloud fabric – detecting threats that would be impossible to identify using manual approaches and predicting the evolution of attacks. +Security Center employs advanced security analytics, which go far beyond signature-based approaches. Breakthroughs in big data and machine learning technologies are used to evaluate events across the entire cloud fabric – detecting threats that would be impossible to identify using manual approaches and predicting the evolution of attacks. Security analytics that come with the Standard tier are: From 9e6986d6a5fe8262a5874a0d0f50d1fb9b3a3c21 Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 16:03:52 -0800 Subject: [PATCH 42/90] Refresh linux-debian-create-upload-vhd --- .../virtual-machines-linux-debian-create-upload-vhd.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/virtual-machines/virtual-machines-linux-debian-create-upload-vhd.md b/articles/virtual-machines/virtual-machines-linux-debian-create-upload-vhd.md index 8b009162f80f9..b73461b97ae70 100644 --- a/articles/virtual-machines/virtual-machines-linux-debian-create-upload-vhd.md +++ b/articles/virtual-machines/virtual-machines-linux-debian-create-upload-vhd.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 08/24/2016 +ms.date: 02/02/2017 ms.author: szark --- From ab139ce55ba293526a3ccfb6bcd6cd5838b383f9 Mon Sep 17 00:00:00 2001 From: "Stephen A. Zarkos" Date: Thu, 2 Feb 2017 16:06:13 -0800 Subject: [PATCH 43/90] Refresh linux-endorsed-distros --- .../virtual-machines-linux-endorsed-distros.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/articles/virtual-machines/virtual-machines-linux-endorsed-distros.md b/articles/virtual-machines/virtual-machines-linux-endorsed-distros.md index e60c54157ac47..d22527225b0cd 100644 --- a/articles/virtual-machines/virtual-machines-linux-endorsed-distros.md +++ b/articles/virtual-machines/virtual-machines-linux-endorsed-distros.md @@ -14,7 +14,7 @@ ms.workload: infrastructure-services ms.tgt_pltfrm: vm-linux ms.devlang: na ms.topic: article -ms.date: 10/17/2016 +ms.date: 02/02/2017 ms.author: szark --- @@ -42,8 +42,8 @@ The Azure Linux Agent is already pre-installed on the Azure Gallery images and a | Debian |Debian 7.9+, 8.2+ |In Kernel |Package: In repo under "waagent"
Source Code: [GitHub](https://github.com/Azure/WALinuxAgent) | | Oracle Linux |6.4+, 7.0+ |In Kernel |Package: In repo under "WALinuxAgent"
Source Code: [GitHub](http://go.microsoft.com/fwlink/p/?LinkID=250998) | | Red Hat Enterprise Linux |RHEL 6.7+, 7.1+ |In Kernel |Package: In repo under "WALinuxAgent"
Source Code: [GitHub](https://github.com/Azure/WALinuxAgent) | -| SUSE Linux Enterprise |SLES 11 SP4, SLES 12 SP1+ and

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zb2sd6*nnrE0J?&z)Q9(G@4ZV8mOcL00!+7<|6Sl;8mRrBM`tgG F{13}#uKxf4 literal 0 HcmV?d00001 From 86911e2a115feb4182097fe49da3e9bbe220d846 Mon Sep 17 00:00:00 2001 From: mumian Date: Fri, 2 Dec 2016 15:10:34 -0500 Subject: [PATCH 02/90] format --- .../hdinsight-domain-joined-architecture.md | 26 +++++++++++-------- 1 file changed, 15 insertions(+), 11 deletions(-) diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index e67c1acd73b9d..38803797f95d5 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -32,7 +32,7 @@ To achieve this setup, there are multiple architectures that you can follow. The 1. HDINSIGHT INTEGRATED WITH ACTIVE DIRECTORY RUNNING ON AZURE IAAS - This is by far the simplest architecture for integrating HDInsight with active directory. The architecture diagram is provided below. In this architecture, you will have your active directory domain controller running on a (or multiple) VMs in Azure. Usually these VMs will be within a Virtual network. You can setup a new Virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you will need to peer these virtual networks using VNET to VNET peering. + This is by far the simplest architecture for integrating HDInsight with active directory. The architecture diagram is provided below. In this architecture, you will have your active directory domain controller running on a (or multiple) VMs in Azure. Usually these VMs will be within a Virtual network. You can setup a new Virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you will need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image1.png) @@ -49,7 +49,7 @@ To achieve this setup, there are multiple architectures that you can follow. The 2. HDINSIGHT INTEGRATED WITH A CLOUD-ONLY AZURE ACTIVE DIRECTORY. - For a cloud-only azure active directory, you will need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using azure active directory domain services (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. + For a cloud-only azure active directory, you will need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you will need access to Classic portal, and will need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which will need to be peered with the classic VNET using VNET to VNET peering. @@ -60,8 +60,10 @@ To achieve this setup, there are multiple architectures that you can follow. The Pre-requisites that need to be setup on active directory - * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). - * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * Password hashes must be synced from AAD to AD DS. + * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. + * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). + * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). + * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions - Permissions to create service principal objects and machine objects within the organizational unit. @@ -70,11 +72,10 @@ To achieve this setup, there are multiple architectures that you can follow. The 3. HDINSIGHT INTEGRATED WITH AN ON-PREMISES ACTIVE DIRECTORY VIA VPN SETUP. - This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a VPN connection from Azure to on-premises network. The architecture diagram for this setup is shown below. + This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). The architecture diagram for this setup is shown below. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image3.png) - Pre-requisites that need to be setup on the on-premises active directory * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. @@ -88,7 +89,7 @@ To achieve this setup, there are multiple architectures that you can follow. The 4. HDINSIGHT INTEGRATED WITH AN ON-PREMISES ACTIVE DIRECTORY SYNCED TO AN AZURE ACTIVE DIRECTORY - This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You will need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using azure active directory domain services (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. + This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You will need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you will need access to Classic portal, and will need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which will need to be peered with the classic VNET using VNET to VNET peering. @@ -99,8 +100,10 @@ To achieve this setup, there are multiple architectures that you can follow. The Pre-requisites that need to be setup on active directory - * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). - * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * Password hashes must be synced from AAD to AD DS. + * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. + * LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). + * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). + * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions - Permissions to create service principal objects and machine objects within the organizational unit. @@ -123,8 +126,9 @@ To achieve this setup, there are multiple architectures that you can follow. The Pre-requisites that need to be setup on active directory * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. - * LDAPS must be setup when you configure AD DS. You can create a self-signed certificate to configure LDAPS. However, to use a self-signed certificate, you will need to request an exception from hdipreview@microsoft.com. - * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * Password hashes must be synced from AAD to AD DS. + * LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you will need to request an exception from [hdipreview@microsoft.com](hdipreview@microsoft.com). + * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). + * Password hashes must be synced from AAD to AD DS. * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions - Permissions to create service principal objects and machine objects within the organizational unit. From 3c8eb6f1f85879b9396900832071b80ad805c968 Mon Sep 17 00:00:00 2001 From: mumian Date: Mon, 5 Dec 2016 09:42:21 -0500 Subject: [PATCH 03/90] fix warning --- articles/hdinsight/hdinsight-domain-joined-architecture.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index 38803797f95d5..1236cc2cacaa1 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -126,7 +126,7 @@ To achieve this setup, there are multiple architectures that you can follow. The Pre-requisites that need to be setup on active directory * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. - * LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you will need to request an exception from [hdipreview@microsoft.com](hdipreview@microsoft.com). + * LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you will need to request an exception from hdipreview@microsoft.com. * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * Password hashes must be synced from AAD to AD DS. * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions @@ -139,5 +139,5 @@ To achieve this setup, there are multiple architectures that you can follow. The * For configuring a Domain-joined HDInsight cluster, see [Configure Domain-joined HDInsight clusters](hdinsight-domain-joined-configure.md). * For managing a Domain-joined HDInsight clusters, see [Manage Domain-joined HDInsight clusters](hdinsight-domain-joined-manage.md). * For configuring Hive policies and run Hive queries, see [Configure Hive policies for Domain-joined HDInsight clusters](hdinsight-domain-joined-run-hive.md). -* For running Hive queries using SSH on Domain-joined HDInsight clusters, see [Use SSH with Linux-based Hadoop on HDInsight from Linux, Unix, or OS X](hdinsight-hadoop-linux-use-ssh-unix.md#connect-to-a-domain-joined-hdinsight-cluster). +* For running Hive queries using SSH on Domain-joined HDInsight clusters, see [Use SSH with Linux-based Hadoop on HDInsight from Linux, Unix, or OS X](hdinsight-hadoop-linux-use-ssh-unix.md). From abe38925aece193c0872207d401322d5ad18534b Mon Sep 17 00:00:00 2001 From: mumian Date: Tue, 10 Jan 2017 11:24:55 -0500 Subject: [PATCH 04/90] incorporate feedback --- .../hdinsight-domain-joined-architecture.md | 46 +++++++++---------- 1 file changed, 23 insertions(+), 23 deletions(-) diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index 1236cc2cacaa1..d559989da28f6 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -14,7 +14,7 @@ ms.devlang: na ms.topic: hero-article ms.tgt_pltfrm: na ms.workload: big-data -ms.date: 10/31/2016 +ms.date: 01/10/2017 ms.author: saurinsh --- @@ -22,17 +22,17 @@ ms.author: saurinsh Today, HDInsight is a single user cluster, which works fine for most companies who have smaller application teams building their BigData workloads. However, as Hadoop is gaining popularity, a lot of enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams are sharing clusters. Thus, multi-user clusters are one of the most requested functionality in HDInsight. -Instead of building our own multi-user authentication, and authorization, HDInsight has decided to rely on the most popular identity provider – Active Directory. After integrating HDInsight with active directory, multiple users from active directory will be able to communicate with the cluster using their active directory credentials. The powerful security groups functionality in active directory can be used to manage multi-user authorization in HDInsight. HDInsight will map the active directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, etc) will seamlessly work for the logged in user. +Instead of building our own multi-user authentication, and authorization, HDInsight has decided to rely on the most popular identity provider – Active Directory. After integrating HDInsight with active directory, multiple users from active directory can communicate with the cluster using their active directory credentials. The powerful security groups functionality in active directory can be used to manage multi-user authorization in HDInsight. HDInsight maps the active directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, etc) work seamlessly for the logged in user. -## What are different ways that HDInsight can be integrated with Active Directory? (Title is too long to fit into the TOC) +## Integrate HDInsight with Active Directory -When HDInsight is integrated with active directory, the HDInsight Linux nodes will be domain-joined to the active directory domain. HDInsight will create service principals for the hadoop services running on the cluster and place them within a specified Organizational Unit in the active directory. HDInsight will also create reverse DNS mappings in the active directory domain for the IP addresses of the nodes that are joined to the domain. +When HDInsight is integrated with active directory, the HDInsight Linux nodes is domain-joined to the active directory domain. HDInsight creates service principals for the hadoop services running on the cluster and place them within a specified Organizational Unit in the active directory. HDInsight also creates reverse DNS mappings in the active directory domain for the IP addresses of the nodes that are joined to the domain. -To achieve this setup, there are multiple architectures that you can follow. The details about these architectures are provided below. You will need to decide which architecture works better for you. +To achieve this setup, there are multiple architectures that you can follow. The details about these architectures are provided below. You need to decide which architecture works better for you. -1. HDINSIGHT INTEGRATED WITH ACTIVE DIRECTORY RUNNING ON AZURE IAAS +**1. HDInsight integrated with AD running on Azure IAAS** - This is by far the simplest architecture for integrating HDInsight with active directory. The architecture diagram is provided below. In this architecture, you will have your active directory domain controller running on a (or multiple) VMs in Azure. Usually these VMs will be within a Virtual network. You can setup a new Virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you will need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). + This is by far the simplest architecture for integrating HDInsight with active directory. The architecture diagram is provided below. In this architecture, you have your active directory domain controller running on a (or multiple) VMs in Azure. Usually these VMs is within a Virtual network. You can setup a new Virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image1.png) @@ -41,17 +41,17 @@ To achieve this setup, there are multiple architectures that you can follow. The * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). - * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions: + * A service account, or a user account is needed, which isused to create the HDInsight cluster. This account must have the following permissions: - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - Permissions to join machines to the active directory domain. -2. HDINSIGHT INTEGRATED WITH A CLOUD-ONLY AZURE ACTIVE DIRECTORY. +**2. HDInsight integrated with a cloud-only Azure AD** - For a cloud-only azure active directory, you will need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. + For a cloud-only azure active directory, you need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. - The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you will need access to Classic portal, and will need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which will need to be peered with the classic VNET using VNET to VNET peering. + The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. @@ -64,13 +64,13 @@ To achieve this setup, there are multiple architectures that you can follow. The * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. - * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions + * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - Permissions to join machines to the active directory domain. -3. HDINSIGHT INTEGRATED WITH AN ON-PREMISES ACTIVE DIRECTORY VIA VPN SETUP. +**3. HDInsight integrated with an on-premises AD via VPN** This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). The architecture diagram for this setup is shown below. @@ -81,17 +81,17 @@ To achieve this setup, there are multiple architectures that you can follow. The * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). - * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions + * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - Permissions to join machines to the active directory domain. -4. HDINSIGHT INTEGRATED WITH AN ON-PREMISES ACTIVE DIRECTORY SYNCED TO AN AZURE ACTIVE DIRECTORY +**4. HDIsight integrated with an on-premises AD synced to an Azure AD** - This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You will need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. + This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. - The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you will need access to Classic portal, and will need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which will need to be peered with the classic VNET using VNET to VNET peering. + The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. @@ -104,19 +104,19 @@ To achieve this setup, there are multiple architectures that you can follow. The * LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. - * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions + * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - Permissions to join machines to the active directory domain. -5. HDINSIGHT INTEGRATED WITH A NON-DEFAULT AZURE ACTIVE DIRECTORY (RECOMMENDED ONLY AS A PLAYGROUND SCENARIO). +**5. HDInsight integrated with a non-default Azure AD (recommended only for testing and development)** - This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the active directory, it may be beneficial to just create a new azure active directory in the subscription. Since this is an AAD that you created, you will have full permissions to this AAD to configure the AD DS. + This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the active directory, it may be beneficial to just create a new azure active directory in the subscription. Since this is an AAD that you created, you have full permissions to this AAD to configure the AD DS. The architecture diagram for this setup is shown below. The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. - The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you will need access to Classic portal, and will need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which will need to be peered with the classic VNET using VNET to VNET peering. + The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. @@ -126,10 +126,10 @@ To achieve this setup, there are multiple architectures that you can follow. The Pre-requisites that need to be setup on active directory * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. - * LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you will need to request an exception from hdipreview@microsoft.com. + * LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you need to request an exception from hdipreview@microsoft.com. * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * Password hashes must be synced from AAD to AD DS. - * A service account, or a user account is needed, which will be used to create the HDInsight cluster. This account must have the following permissions + * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules From 29c67a3b63437575d0bcc5fc8e86d02032a80d46 Mon Sep 17 00:00:00 2001 From: mumian Date: Tue, 10 Jan 2017 15:17:14 -0500 Subject: [PATCH 05/90] format --- .../hdinsight-domain-joined-architecture.md | 128 +++++++++--------- 1 file changed, 64 insertions(+), 64 deletions(-) diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index d559989da28f6..cf875af4355be 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -32,108 +32,108 @@ To achieve this setup, there are multiple architectures that you can follow. The **1. HDInsight integrated with AD running on Azure IAAS** - This is by far the simplest architecture for integrating HDInsight with active directory. The architecture diagram is provided below. In this architecture, you have your active directory domain controller running on a (or multiple) VMs in Azure. Usually these VMs is within a Virtual network. You can setup a new Virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). +This is by far the simplest architecture for integrating HDInsight with active directory. The architecture diagram is provided below. In this architecture, you have your active directory domain controller running on a (or multiple) VMs in Azure. Usually these VMs is within a Virtual network. You can setup a new Virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). - ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image1.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image1.png) - Pre-requisites that need to be setup on active directory +Pre-requisites that need to be setup on active directory - * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. - * LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). - * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). - * A service account, or a user account is needed, which isused to create the HDInsight cluster. This account must have the following permissions: +* An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* A service account, or a user account is needed, which isused to create the HDInsight cluster. This account must have the following permissions: - - Permissions to create service principal objects and machine objects within the organizational unit. - - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. **2. HDInsight integrated with a cloud-only Azure AD** - For a cloud-only azure active directory, you need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +For a cloud-only azure active directory, you need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. - The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. +The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. - > [!NOTE] - > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. +> [!NOTE] +> Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. - ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) - Pre-requisites that need to be setup on active directory +Pre-requisites that need to be setup on active directory - * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. - * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). - * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). - * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. - * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions +* An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. +* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions - - Permissions to create service principal objects and machine objects within the organizational unit. - - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. **3. HDInsight integrated with an on-premises AD via VPN** - This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). The architecture diagram for this setup is shown below. +This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). The architecture diagram for this setup is shown below. - ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image3.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image3.png) - Pre-requisites that need to be setup on the on-premises active directory +Pre-requisites that need to be setup on the on-premises active directory - * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. - * LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). - * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). - * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions +* An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions - - Permissions to create service principal objects and machine objects within the organizational unit. - - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. **4. HDIsight integrated with an on-premises AD synced to an Azure AD** - This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. - The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. +The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. - > [!NOTE] - > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. +> [!NOTE] +> Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. - ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) - Pre-requisites that need to be setup on active directory +Pre-requisites that need to be setup on active directory - * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. - * LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). - * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). - * [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. - * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions +* An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. +* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions - - Permissions to create service principal objects and machine objects within the organizational unit. - - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. **5. HDInsight integrated with a non-default Azure AD (recommended only for testing and development)** - This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the active directory, it may be beneficial to just create a new azure active directory in the subscription. Since this is an AAD that you created, you have full permissions to this AAD to configure the AD DS. +This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the active directory, it may be beneficial to just create a new azure active directory in the subscription. Since this is an AAD that you created, you have full permissions to this AAD to configure the AD DS. - The architecture diagram for this setup is shown below. The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +The architecture diagram for this setup is shown below. The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. - The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. +The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. - > [!NOTE] - > Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. +> [!NOTE] +> Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. - ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) - Pre-requisites that need to be setup on active directory - - * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. - * LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you need to request an exception from hdipreview@microsoft.com. - * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). - * Password hashes must be synced from AAD to AD DS. - * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions +Pre-requisites that need to be setup on active directory - - Permissions to create service principal objects and machine objects within the organizational unit. - - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. +* An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you need to request an exception from hdipreview@microsoft.com. +* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* Password hashes must be synced from AAD to AD DS. +* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions + + - Permissions to create service principal objects and machine objects within the organizational unit. + - Permissions to create reverse DNS proxy rules + - Permissions to join machines to the active directory domain. ## Next steps * For configuring a Domain-joined HDInsight cluster, see [Configure Domain-joined HDInsight clusters](hdinsight-domain-joined-configure.md). From f21b38b958a9043ef5a18de4ab4fdfd5f2d85a49 Mon Sep 17 00:00:00 2001 From: mumian Date: Tue, 10 Jan 2017 15:24:44 -0500 Subject: [PATCH 06/90] Acrolinx --- .../hdinsight-domain-joined-architecture.md | 20 +++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index cf875af4355be..ad06cea33eae3 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -1,6 +1,6 @@ --- -title: Domain-joind HDInsight architecture| Microsoft Docs -description: Learn .... +title: Domain-joined HDInsight architecture| Microsoft Docs +description: Learn how to plan domain-joined HDInsight services: hdinsight documentationcenter: '' author: saurinsh @@ -22,7 +22,7 @@ ms.author: saurinsh Today, HDInsight is a single user cluster, which works fine for most companies who have smaller application teams building their BigData workloads. However, as Hadoop is gaining popularity, a lot of enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams are sharing clusters. Thus, multi-user clusters are one of the most requested functionality in HDInsight. -Instead of building our own multi-user authentication, and authorization, HDInsight has decided to rely on the most popular identity provider – Active Directory. After integrating HDInsight with active directory, multiple users from active directory can communicate with the cluster using their active directory credentials. The powerful security groups functionality in active directory can be used to manage multi-user authorization in HDInsight. HDInsight maps the active directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, etc) work seamlessly for the logged in user. +Instead of building our own multi-user authentication, and authorization, HDInsight has decided to rely on the most popular identity provider – Active Directory. After integrating HDInsight with active directory, multiple users from active directory can communicate with the cluster using their active directory credentials. The powerful security groups functionality in active directory can be used to manage multi-user authorization in HDInsight. HDInsight maps the active directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, and so on) work seamlessly for the logged in user. ## Integrate HDInsight with Active Directory @@ -41,7 +41,7 @@ Pre-requisites that need to be setup on active directory * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). -* A service account, or a user account is needed, which isused to create the HDInsight cluster. This account must have the following permissions: +* A service account, or a user account is needed, which issued to create the HDInsight cluster. This account must have the following permissions: - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules @@ -51,10 +51,10 @@ Pre-requisites that need to be setup on active directory For a cloud-only azure active directory, you need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. +The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which need to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] -> Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. +> Peering between Classic and Azure Resource Manager VNETs can happen only when they both are in same subscription and same region. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) @@ -91,10 +91,10 @@ Pre-requisites that need to be setup on the on-premises active directory This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. +The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which need to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] -> Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. +> Peering between Classic and Resource Group VNETs can happen only when they both are in same subscription and same region. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) @@ -116,10 +116,10 @@ This architecture is like architecture #2. In most companies, the admin access t The architecture diagram for this setup is shown below. The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in ARM portal, which need to be peered with the classic VNET using VNET to VNET peering. +The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which need to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] -> Peering between Classic and ARM VNETs can happen only when they both are in same subscription and same region. +> Peering between Classic and Resource Manager VNETs can happen only when they both are in same subscription and same region. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) From 9ba469483cfd9c660d732a0cf4176f50cac2b9c8 Mon Sep 17 00:00:00 2001 From: mumian Date: Tue, 10 Jan 2017 16:18:51 -0500 Subject: [PATCH 07/90] update --- .../hdinsight-domain-joined-architecture.md | 34 +++++++++---------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index ad06cea33eae3..8c3f926c5d5ab 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -1,6 +1,6 @@ --- -title: Domain-joined HDInsight architecture| Microsoft Docs -description: Learn how to plan domain-joined HDInsight +title: Domain-joined Azure HDInsight architecture| Microsoft Docs +description: Learn how to plan domain-joined HDInsight. services: hdinsight documentationcenter: '' author: saurinsh @@ -18,21 +18,21 @@ ms.date: 01/10/2017 ms.author: saurinsh --- -# Plan Domain-joined HDInsight clusters +# Plan Azure Domain-joined Hadoop clusters in HDInsight -Today, HDInsight is a single user cluster, which works fine for most companies who have smaller application teams building their BigData workloads. However, as Hadoop is gaining popularity, a lot of enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams are sharing clusters. Thus, multi-user clusters are one of the most requested functionality in HDInsight. +Today, HDInsight is a single user cluster, which works fine for most companies who have smaller application teams building their BigData workloads. However, as Hadoop is gaining popularity, many enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams are sharing clusters. Thus, multi-user clusters are one of the most requested functionalities in HDInsight. -Instead of building our own multi-user authentication, and authorization, HDInsight has decided to rely on the most popular identity provider – Active Directory. After integrating HDInsight with active directory, multiple users from active directory can communicate with the cluster using their active directory credentials. The powerful security groups functionality in active directory can be used to manage multi-user authorization in HDInsight. HDInsight maps the active directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, and so on) work seamlessly for the logged in user. +Instead of building our own multi-user authentication, and authorization, HDInsight relies on the most popular identity provider – Active Directory. After integrating HDInsight with active directory, AD users can communicate with the cluster using their active directory credentials. The powerful security groups functionality in active directory can be used to manage multi-user authorization in HDInsight. HDInsight maps the active directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, and so on) work seamlessly for the logged in user. ## Integrate HDInsight with Active Directory -When HDInsight is integrated with active directory, the HDInsight Linux nodes is domain-joined to the active directory domain. HDInsight creates service principals for the hadoop services running on the cluster and place them within a specified Organizational Unit in the active directory. HDInsight also creates reverse DNS mappings in the active directory domain for the IP addresses of the nodes that are joined to the domain. +When HDInsight is integrated with active directory, the HDInsight Linux nodes are domain-joined to the active directory domain. HDInsight creates service principals for the hadoop services running on the cluster and place them within a specified Organizational Unit in the active directory. HDInsight also creates reverse DNS mappings in the active directory domain for the IP addresses of the nodes that are joined to the domain. -To achieve this setup, there are multiple architectures that you can follow. The details about these architectures are provided below. You need to decide which architecture works better for you. +To achieve this setup, there are multiple architectures that you can follow. You need to decide which architecture works better for you. **1. HDInsight integrated with AD running on Azure IAAS** -This is by far the simplest architecture for integrating HDInsight with active directory. The architecture diagram is provided below. In this architecture, you have your active directory domain controller running on a (or multiple) VMs in Azure. Usually these VMs is within a Virtual network. You can setup a new Virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). +This is the simplest architecture for integrating HDInsight with active directory. The active directory domain controller runs on one (or multiple) virtual machines (VM) in Azure. Usually these VMs are within a virtual network. You can setup a new virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image1.png) @@ -51,10 +51,10 @@ Pre-requisites that need to be setup on active directory For a cloud-only azure active directory, you need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which need to be peered with the classic VNET using VNET to VNET peering. +The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] -> Peering between Classic and Azure Resource Manager VNETs can happen only when they both are in same subscription and same region. +> Peering between Classic and Azure Resource Manager VNETs requires both vnets are in the same region, and both vnets are under the same Azure subscription. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) @@ -72,7 +72,7 @@ Pre-requisites that need to be setup on active directory **3. HDInsight integrated with an on-premises AD via VPN** -This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). The architecture diagram for this setup is shown below. +This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image3.png) @@ -91,10 +91,10 @@ Pre-requisites that need to be setup on the on-premises active directory This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which need to be peered with the classic VNET using VNET to VNET peering. +The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] -> Peering between Classic and Resource Group VNETs can happen only when they both are in same subscription and same region. +> Peering between Classic and Azure Resource Manager VNETs requires both vnets are in the same region, and both vnets are under the same Azure subscription. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) @@ -114,12 +114,12 @@ Pre-requisites that need to be setup on active directory This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the active directory, it may be beneficial to just create a new azure active directory in the subscription. Since this is an AAD that you created, you have full permissions to this AAD to configure the AD DS. -The architecture diagram for this setup is shown below. The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The architecture for this setup is shown below. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which need to be peered with the classic VNET using VNET to VNET peering. +The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] -> Peering between Classic and Resource Manager VNETs can happen only when they both are in same subscription and same region. +> Peering between Classic and Azure Resource Manager VNETs requires both vnets are in the same region, and both vnets are under the same Azure subscription. ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) @@ -137,7 +137,7 @@ Pre-requisites that need to be setup on active directory ## Next steps * For configuring a Domain-joined HDInsight cluster, see [Configure Domain-joined HDInsight clusters](hdinsight-domain-joined-configure.md). -* For managing a Domain-joined HDInsight clusters, see [Manage Domain-joined HDInsight clusters](hdinsight-domain-joined-manage.md). +* For managing Domain-joined HDInsight clusters, see [Manage Domain-joined HDInsight clusters](hdinsight-domain-joined-manage.md). * For configuring Hive policies and run Hive queries, see [Configure Hive policies for Domain-joined HDInsight clusters](hdinsight-domain-joined-run-hive.md). * For running Hive queries using SSH on Domain-joined HDInsight clusters, see [Use SSH with Linux-based Hadoop on HDInsight from Linux, Unix, or OS X](hdinsight-hadoop-linux-use-ssh-unix.md). 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+++++++++++++++++++ 1 file changed, 52 insertions(+) create mode 100644 articles/hdinsight/hdinsight-upgrade-cluster.md diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md new file mode 100644 index 0000000000000..4d374df51cf22 --- /dev/null +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -0,0 +1,52 @@ +--- +title: Migrate from Windows-based HDInsight to Linux-based HDInsight | Microsoft Docs +description: Learn how to migrate from a Windows-based HDInsight cluster to a Linux-based HDInsight cluster. +services: hdinsight +documentationcenter: '' +author: bhanupr +editor: bhanupr + +ms.assetid: +ms.service: hdinsight +ms.devlang: na +ms.topic: article +ms.tgt_pltfrm: na +ms.workload: big-data +ms.date: 01/11/2017 +ms.author: bhanupr + +--- +# Upgrade HDInsight cluster to a newer version +To take advantage of the latest HDInsight features, we recommend that HDInsight clusters be upgraded to latest version. +Please follow the below guidelines to upgrade your HDInsight cluster versions. + +> [!NOTE] +> HDInsight clusters version 3.2 and 3.3 are nearing deprecation date. For information on the version of Ubuntu available with HDInsight, along with other component versioning information, see [HDInsight component versions](hdinsight-component-versioning.md). +> +> + +## Upgrade tasks +The workflow to upgrade HDInsight Cluster is as follows. + +![Upgrade workflow diagram](./media/hdinsight-upgrade-cluster/upgrade-workflow.png) + +1. Read each section of this document to understand changes that may be required when upgrading your HDInsight cluster. +2. Create a new cluster as a test/quality assurance environment. For more information on creating a cluster, see [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) +3. Copy existing jobs, data sources and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-hadoop-provision-linux-clusters.md) for more details. +4. Perform validation testing to make sure that your jobs work as expected on the new cluster. + + +Once you have verified that everything works as expected, schedule +downtime for the migration. During this downtime, do the following +actions. + +1. Backup any transient data stored locally on the cluster nodes. For example, if you have data stored directly on a head node. +2. Delete the existing cluster. +3. Create a new cluster in the same VNET subnet with latest (or supported) HDI version using the same default data store that the previous cluster used. This will allow the new cluster to continue working against your existing production data. +4. Import any transient data you backed up. +5. Start jobs/continue processing using the new cluster. + + + + + From 3c1a962d8bea93ecfcc3a76e16840aba7c7445b5 Mon Sep 17 00:00:00 2001 From: Bhanu Prakash Date: Mon, 16 Jan 2017 20:54:16 -0800 Subject: [PATCH 11/90] Update hdinsight-upgrade-cluster.md --- articles/hdinsight/hdinsight-upgrade-cluster.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md index 4d374df51cf22..8e1e9a0a1d06e 100644 --- a/articles/hdinsight/hdinsight-upgrade-cluster.md +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -32,7 +32,7 @@ The workflow to upgrade HDInsight Cluster is as follows. 1. Read each section of this document to understand changes that may be required when upgrading your HDInsight cluster. 2. Create a new cluster as a test/quality assurance environment. For more information on creating a cluster, see [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) -3. Copy existing jobs, data sources and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-hadoop-provision-linux-clusters.md) for more details. +3. Copy existing jobs, data sources and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-hadoop-provision-linux-clusters.md#copy-data-to-the-test-environment) for more details. 4. Perform validation testing to make sure that your jobs work as expected on the new cluster. From 9280429e725afeb8b4964e9363689720e511427e Mon Sep 17 00:00:00 2001 From: mumian Date: Tue, 17 Jan 2017 09:11:36 -0500 Subject: [PATCH 12/90] update --- .../hdinsight-administer-use-portal-linux.md | 10 +++-- ...t-apache-spark-jupyter-notebook-kernels.md | 38 +++++++++--------- ...nsight-azure-portal-cluster-dashboards.png | Bin 0 -> 12071 bytes .../hdinsight-jupyter-notebook.png | Bin 0 -> 2844 bytes 4 files changed, 25 insertions(+), 23 deletions(-) create mode 100644 articles/hdinsight/media/hdinsight-apache-spark-jupyter-notebook-kernels/hdinsight-azure-portal-cluster-dashboards.png create mode 100644 articles/hdinsight/media/hdinsight-apache-spark-jupyter-notebook-kernels/hdinsight-jupyter-notebook.png diff --git a/articles/hdinsight/hdinsight-administer-use-portal-linux.md b/articles/hdinsight/hdinsight-administer-use-portal-linux.md index ca20e763ab805..de9103175becb 100644 --- a/articles/hdinsight/hdinsight-administer-use-portal-linux.md +++ b/articles/hdinsight/hdinsight-administer-use-portal-linux.md @@ -14,7 +14,7 @@ ms.workload: big-data ms.tgt_pltfrm: na ms.devlang: na ms.topic: article -ms.date: 12/20/2016 +ms.date: 01/11/2017 ms.author: jgao --- @@ -40,6 +40,8 @@ Before you begin this article, you must have the following: ![Azure portal HDInsight cluster button](./media/hdinsight-administer-use-portal-linux/azure-portal-hdinsight-button.png) + If you don't see HDInsight cluster, click **More services** on the bottom of the list, and then click **HDInsight clusters** under the **Intelligence + Analytics** section. + ## Create clusters [!INCLUDE [delete-cluster-warning](../../includes/hdinsight-delete-cluster-warning.md)] @@ -54,14 +56,14 @@ see [What version of Hadoop is in Azure HDInsight](hdinsight-component-versionin ![Azure portal HDInsight cluster essentials](./media/hdinsight-administer-use-portal-linux/hdinsight-essentials.png) - **Overview menu**: + **Overview menu:** - * **Dashboard**, **Cluster Dashboard** and **URL: These are all ways to access the cluster dashboard, which is Ambari Web for Linux-based clusters. + * **Dashboard**: Opens the cluster dashboard, which is Ambari Web for Linux-based clusters. * **Secure Shell**: Shows the instructions to connect to the cluster using Secure Shell (SSH) connection. * **Scale Cluster**: Allows you to change the number of worker nodes for this cluster. * **Delete**: Deletes the cluster. - **Left menu** + **Left menu:** * **Activity logs**: Show and query activity logs. * **Access control (IAM)**: Use role assignments. See [Use role assignments to manage access to your Azure subscription resources](../active-directory/role-based-access-control-configure.md). diff --git a/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md b/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md index 8d51626cd52da..bcd08a358872a 100644 --- a/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md +++ b/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md @@ -18,24 +18,27 @@ ms.date: 10/05/2016 ms.author: nitinme --- -# Kernels available for Jupyter notebooks with Apache Spark clusters on HDInsight Linux -Apache Spark cluster on HDInsight (Linux) includes Jupyter notebooks that you can use to test your applications. A kernel is a program that runs and interprets your code. HDInsight Spark clusters provide two kernels that you can use with the Jupyter notebook. These are: +# Jupyter notebooks kernels with Apache Spark clusters in HDInsight -1. **PySpark** (for applications written in Python) -2. **Spark** (for applications written in Scala) +HDInsight Spark clusters provide two kernels that you can use with the Jupyter notebook for testing your Spark applications. A kernel is a program that runs and interprets your code.The two kernels are: -In this article, you will learn about how to use these kernels and what are the benefits you get from using them. +- **PySpark** (for applications written in Python) +- **Spark** (for applications written in Scala) + +In this article, you learn how to use these kernels and the benefits of using them. **Prerequisites:** You must have the following: -* An Azure subscription. See [Get Azure free trial](https://azure.microsoft.com/documentation/videos/get-azure-free-trial-for-testing-hadoop-in-hdinsight/). -* An Apache Spark cluster on HDInsight Linux. For instructions, see [Create Apache Spark clusters in Azure HDInsight](hdinsight-apache-spark-jupyter-spark-sql.md). +* An Apache Spark cluster in HDInsight. For instructions, see [Create Apache Spark clusters in Azure HDInsight](hdinsight-apache-spark-jupyter-spark-sql.md). + +## Create a Jupyter notebook +1. From the [Azure Portal](https://portal.azure.com/), open your cluster. See [List and show clusters](hdinsight-administer-use-portal-linux.md#list-and-show-clusters) for the instructions. The cluster is opened in a new portal blade. +2. From the **Quick links** section, click **Cluster dashboards** to open the **Cluster dashboards** blade. If you don't see **Quick Links**, click **Overview** from the left menu on the blade. -## How do I use the kernels? -1. From the [Azure Portal](https://portal.azure.com/), from the startboard, click the tile for your Spark cluster (if you pinned it to the startboard). You can also navigate to your cluster under **Browse All** > **HDInsight Clusters**. -2. From the Spark cluster blade, click **Cluster Dashboard**, and then click **Jupyter Notebook**. If prompted, enter the admin credentials for the cluster. + ![Cluster dashboards](./media/hdinsight-apache-spark-jupyter-notebook-kernels/hdinsight-azure-portal-cluster-dashboards.png "Cluster dashboards") +3. Click **Jupyter Notebook**. If prompted, enter the admin credentials for the cluster. > [!NOTE] > You may also reach the Jupyter Notebook for your cluster by opening the following URL in your browser. Replace **CLUSTERNAME** with the name of your cluster: @@ -43,30 +46,27 @@ You must have the following: > `https://CLUSTERNAME.azurehdinsight.net/jupyter` > > -3. Create a new notebook with the new kernels. Click **New**, and then click **Pyspark** or **Spark**. You should use the Spark kernel for Scala applications and PySpark kernel for Python applications. +3. Click **New**, and then click either **Pyspark** or **Spark** to a new notebook. You should use the Spark kernel for Scala applications and PySpark kernel for Python applications. ![Create a new Jupyter notebook](./media/hdinsight-apache-spark-jupyter-notebook-kernels/jupyter-kernels.png "Create a new Jupyter notebook") 4. This should open a new notebook with the kernel you selected. -## Why should I use the PySpark or Spark kernels? +## Choose between the kernels Here are a few benefits of using the new kernels. -1. **Preset contexts**. With the **PySpark** or **Spark** kernels that are provided with Jupyter notebooks, you do not need to set the Spark or Hive contexts explicitly before you can start working with the application you are developing; these are available for you by default. These contexts are: +- **Preset contexts**. With either the **PySpark** or the **Spark** kernels, you do not need to set the Spark or Hive contexts explicitly before you start working with your applications; these are available for you by default. These contexts are: * **sc** - for Spark context * **sqlContext** - for Hive context So, you don't have to run statements like the following to set the contexts: - ################################################### - # YOU DO NOT NEED TO RUN THIS WITH THE NEW KERNELS - ################################################### - sc = SparkContext('yarn-client') - sqlContext = HiveContext(sc) + sc = SparkContext('yarn-client') + sqlContext = HiveContext(sc) Instead, you can directly use the preset contexts in your application. -1. **Cell magics**. The PySpark kernel provides some predefined “magics”, which are special commands that you can call with `%%` (e.g. `%%MAGIC` ). The magic command must be the first word in a code cell and allow for multiple lines of content. The magic word should be the first word in the cell. Adding anything before the magic, even comments, will cause an error. For more information on magics, see [here](http://ipython.readthedocs.org/en/stable/interactive/magics.html). +- **Cell magics**. The PySpark kernel provides some predefined “magics”, which are special commands that you can call with `%%` (e.g. `%%MAGIC` ). The magic command must be the first word in a code cell and allow for multiple lines of content. The magic word should be the first word in the cell. Adding anything before the magic, even comments, will cause an error. For more information on magics, see [here](http://ipython.readthedocs.org/en/stable/interactive/magics.html). 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boRqYO=uo+n0gEI2akhY&u{El~$SwMRlP_0A literal 0 HcmV?d00001 From 0c938375c005f9e2b0681c417469dd218fa5a3cb Mon Sep 17 00:00:00 2001 From: Sabotta Date: Tue, 17 Jan 2017 17:51:29 -0800 Subject: [PATCH 13/90] Update virtual-machines-windows-portal-sql-server-provision.md Updated steps for selecting a VM image. --- ...chines-windows-portal-sql-server-provision.md | 16 ++++++---------- 1 file changed, 6 insertions(+), 10 deletions(-) diff --git a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md index 329f2f0faeac2..97cafeeec20e0 100644 --- a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md +++ b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md @@ -14,7 +14,7 @@ ms.devlang: na ms.topic: hero-article ms.tgt_pltfrm: vm-windows-sql-server ms.workload: infrastructure-services -ms.date: 09/21/2016 +ms.date: 01/17/2017 ms.author: jroth --- @@ -43,14 +43,10 @@ In this tutorial, you will: > If you do not have an Azure account, visit [Azure free trial](https://azure.microsoft.com/pricing/free-trial/). > > -2. On the Azure portal, click **New**. The portal opens the **New** blade. The SQL Server VM resources are in the **Virtual Machines** group of the Marketplace. -3. In the **New** blade, click **Virtual Machines**. -4. To see all the available images, click **See all** on the **Virtual Machines** blade. - - ![Azure Virtual Machines Blade](./media/virtual-machines-windows-portal-sql-server-provision/azure-compute-blade.png) -5. Under **Database servers**, click **SQL Server**. You might have to scroll down to locate **Database servers**. Review the available SQL Server templates. - - ![Virtual Machine Gallery SQL Images](./media/virtual-machines-windows-portal-sql-server-provision/virtual-machine-gallery-sql-server.png) +2. On the Azure portal, click **New**. The portal opens the **New** blade. The SQL Server VM resources are in the **Compute** group of the Marketplace. +3. In the **New** blade, click **Compute**. +4. In the **Filter** text box type SQL Server, and press the ENTER key. +5. Review the available SQL Server templates. 6. Each template identifies a SQL Server version and an operating system. Select one of these images from the list. Then review the details blade that provides a description of the virtual machine image. > [!NOTE] @@ -79,7 +75,7 @@ On the **Basics** blade, provide the following information: * Specify a **User name** for the local administrator account on the VM. This account is also added to the SQL Server **sysadmin** fixed server role. * Provide a strong **Password**. * If you have multiple subscriptions, verify that the subscription is correct for the new VM. -* In the **Resource group** box, type a name for a new resource group. Alternatively, to use an existing resource group click **Select existing**. A resource group is a collection of related resources in Azure (virtual machines, storage accounts, virtual networks, etc.). +* In the **Resource group** box, type a name for a new resource group. Alternatively, to use an existing resource group click **Use existing**. A resource group is a collection of related resources in Azure (virtual machines, storage accounts, virtual networks, etc.). > [!NOTE] > Using a new resource group is helpful if you are just testing or learning about SQL Server deployments in Azure. After you finish with your test, delete the resource group to automatically delete the VM and all resources associated with that resource group. For more information about resource groups, see [Azure Resource Manager Overview](../../../azure-resource-manager/resource-group-overview.md). From 939dfc9c0db8f40a578d60fa2aa7aee43ef6ed2f Mon Sep 17 00:00:00 2001 From: Sabotta Date: Wed, 18 Jan 2017 15:31:07 -0800 Subject: [PATCH 14/90] Update virtual-machines-windows-portal-sql-server-provision.md Updated list of options for SQL Automated Backup --- .../virtual-machines-windows-portal-sql-server-provision.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md index 97cafeeec20e0..4b116acb0398f 100644 --- a/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md +++ b/articles/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision.md @@ -44,7 +44,7 @@ In this tutorial, you will: > > 2. On the Azure portal, click **New**. The portal opens the **New** blade. The SQL Server VM resources are in the **Compute** group of the Marketplace. -3. In the **New** blade, click **Compute**. +3. In the **New** blade, click **Compute** and then click **See all**. 4. In the **Filter** text box type SQL Server, and press the ENTER key. 5. Review the available SQL Server templates. 6. Each template identifies a SQL Server version and an operating system. Select one of these images from the list. Then review the details blade that provides a description of the virtual machine image. @@ -209,6 +209,8 @@ When you enable SQL automated backup, you can configure the following: * Retention period (days) for backups * Storage account to use for backups * Encryption option and password for backups +* Backup system databases +* Configure backup schedule To encrypt the backup, click **Enable**. Then specify the **Password**. Azure creates a certificate to encrypt the backups and uses the specified password to protect that certificate. From c5a06d1bf2df847fc16337f8fa13f17eaad02682 Mon Sep 17 00:00:00 2001 From: Rajesh Nagpal Date: Thu, 19 Jan 2017 16:36:09 -0800 Subject: [PATCH 15/90] Update documentdb-performance-tips.md Adding performance tip to ensure that the host process is 64-bit. Earlier we used to block them and forcing them to change to 64 bit when using cross partition queries on partitioned collections. We have got rid of that and now allow those queries even on 32-bit host process. @mimig1 @arramac please review the text. --- articles/documentdb/documentdb-performance-tips.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/articles/documentdb/documentdb-performance-tips.md b/articles/documentdb/documentdb-performance-tips.md index c119e095db70b..68b6166060018 100644 --- a/articles/documentdb/documentdb-performance-tips.md +++ b/articles/documentdb/documentdb-performance-tips.md @@ -14,7 +14,7 @@ ms.workload: data-services ms.tgt_pltfrm: na ms.devlang: na ms.topic: article -ms.date: 11/16/2016 +ms.date: 01/19/2017 ms.author: mimig --- @@ -126,6 +126,13 @@ So if you're asking "How can I improve my database performance?" consider the fo 10. **Increase number of threads/tasks** See [Increase number of threads/tasks](#increase-threads) in the Networking section. + +11. **Make sure you are using 64-bit host process** + Though we support the SDK to work in a 32-bit host process, but if you are using cross partition queries, 64-bit host processing is recommended for improved performance. + For Executable applications, this can be done by unchecking the "Prefer 32-bit" option in the project properties window, on the Build tab. + For VSTest based test projects, this can be done by selecting Test->Test Settings->Default Processor Architecture as X64, from Visual Studio Test menu option. + For locally deployed ASP.NET Web applications, this can be done by checking the "Use the 64 bit version of IIS Express for web sites and projects", under Tools->Options->Projects and Solutions->Web Projects. + For ASP.NET Web applications deployed on Azure, this can be done by choosing the Platform as 64-bit in the Application Settings on the Azure portal. ## Indexing Policy 1. **Use lazy indexing for faster peak time ingestion rates** From 4d9e55e4d2247240b0b148878fc19fa96ea71fd7 Mon Sep 17 00:00:00 2001 From: Rajesh Nagpal Date: Thu, 19 Jan 2017 22:32:05 -0800 Subject: [PATCH 16/90] Update documentdb-performance-tips.md Minor textual updates. --- articles/documentdb/documentdb-performance-tips.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/articles/documentdb/documentdb-performance-tips.md b/articles/documentdb/documentdb-performance-tips.md index 68b6166060018..6c7d98f620808 100644 --- a/articles/documentdb/documentdb-performance-tips.md +++ b/articles/documentdb/documentdb-performance-tips.md @@ -128,10 +128,15 @@ So if you're asking "How can I improve my database performance?" consider the fo See [Increase number of threads/tasks](#increase-threads) in the Networking section. 11. **Make sure you are using 64-bit host process** - Though we support the SDK to work in a 32-bit host process, but if you are using cross partition queries, 64-bit host processing is recommended for improved performance. + + Though we support the SDK to work in a 32-bit host process, but if you are using cross partition queries, 64-bit host processing is recommended for improved performance. The following type of applications have 32-bit host process as the default, so in order to change that to 64-bit, follow the below steps based on the type of your application: + For Executable applications, this can be done by unchecking the "Prefer 32-bit" option in the project properties window, on the Build tab. + For VSTest based test projects, this can be done by selecting Test->Test Settings->Default Processor Architecture as X64, from Visual Studio Test menu option. + For locally deployed ASP.NET Web applications, this can be done by checking the "Use the 64 bit version of IIS Express for web sites and projects", under Tools->Options->Projects and Solutions->Web Projects. + For ASP.NET Web applications deployed on Azure, this can be done by choosing the Platform as 64-bit in the Application Settings on the Azure portal. ## Indexing Policy From 1b626dbe3912f510da67169d4c5b39743626987e Mon Sep 17 00:00:00 2001 From: Mimi Gentz Date: Fri, 20 Jan 2017 15:39:33 -0600 Subject: [PATCH 17/90] Reviewed and made editorial corrections. UI elements are always bolded. --- articles/documentdb/documentdb-performance-tips.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/articles/documentdb/documentdb-performance-tips.md b/articles/documentdb/documentdb-performance-tips.md index 6c7d98f620808..eea0139450dfa 100644 --- a/articles/documentdb/documentdb-performance-tips.md +++ b/articles/documentdb/documentdb-performance-tips.md @@ -127,17 +127,17 @@ So if you're asking "How can I improve my database performance?" consider the fo See [Increase number of threads/tasks](#increase-threads) in the Networking section. -11. **Make sure you are using 64-bit host process** +11. **Use 64-bit host processing** - Though we support the SDK to work in a 32-bit host process, but if you are using cross partition queries, 64-bit host processing is recommended for improved performance. The following type of applications have 32-bit host process as the default, so in order to change that to 64-bit, follow the below steps based on the type of your application: + The DocumentDB SDK works in a 32-bit host process; however, if you are using cross partition queries, 64-bit host processing is recommended for improved performance. The following type of applications have 32-bit host process as the default, so in order to change that to 64-bit, follow these steps based on the type of your application: - For Executable applications, this can be done by unchecking the "Prefer 32-bit" option in the project properties window, on the Build tab. + - For Executable applications, this can be done by unchecking the **Prefer 32-bit** option in the **Project Properties** window, on the **Build** tab. - For VSTest based test projects, this can be done by selecting Test->Test Settings->Default Processor Architecture as X64, from Visual Studio Test menu option. + - For VSTest based test projects, this can be done by selecting **Test**->**Test Settings**->**Default Processor Architecture as X64**, from the **Visual Studio Test** menu option. - For locally deployed ASP.NET Web applications, this can be done by checking the "Use the 64 bit version of IIS Express for web sites and projects", under Tools->Options->Projects and Solutions->Web Projects. + - For locally deployed ASP.NET Web applications, this can be done by checking the **Use the 64 bit version of IIS Express for web sites and projects**, under **Tools**->**Options**->**Projects and Solutions**->**Web Projects**. - For ASP.NET Web applications deployed on Azure, this can be done by choosing the Platform as 64-bit in the Application Settings on the Azure portal. + - For ASP.NET Web applications deployed on Azure, this can be done by choosing the **Platform as 64-bit** in the **Application Settings** on the Azure portal. ## Indexing Policy 1. **Use lazy indexing for faster peak time ingestion rates** From 9bfd1911c6101b41ea33a87dba597c9210e3f17e Mon Sep 17 00:00:00 2001 From: Todd Abel Date: Fri, 20 Jan 2017 14:24:58 -0800 Subject: [PATCH 18/90] Added overview document --- .../ai-search-events.PNG | Bin 0 -> 30242 bytes .../azure-monitoring-metrics.PNG | Bin 0 -> 88667 bytes .../service-fabric-diagnostics-overview.md | 354 ++++++++++++++++++ 3 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Start instrumenting your code in your methods. Here are a few samples +```csharp + _logger.LogDebug("Debug level event from Microsoft.Logging"); + _logger.LogInformation("Informational level event from Microsoft.Logging"); + + // In this variant, we're adding structured properties RequestName and Duration that will have values MyRequest and the duration of the request. + // More on why you'll want to do this later. + _logger.LogInformation("{RequestName} {Duration}", "MyRequest", requestDuration); +``` + +### Using other logging providers +There are some third party providers that work with this approach, [SeriLog](https://serilog.net/), [NLog](http://nlog-project.org/) and [loggr](https://github.com/imobile3/Loggr.Extensions.Logging) are three examples. Each of these can be plugged into ASP.Net Core Logging and can also be used separately. SeriLog uses has a feature that allows enrichment of all messages sent from a logger, which can be useful to to output the service name, type, partition information. To leverage this capability with in the ASP.NET Core infrastructure, perform the following + +1. Add **Serilog**, **Serilog.Extensions.Logging**, **Serilog.Sinks.Observable** NuGet packages to the project. Also add **Serilog.Sinks.Literate** for this example, a better approach is shown later in this article +2. Create a LoggerConfiguration and the logger instance in SeriLog +```csharp + Log.Logger = new LoggerConfiguration().WriteTo.LiterateConsole().CreateLogger(); +``` +3. Add an SeriLog.ILogger argument to the service constructor and pass the newly created logger +```csharp + ServiceRuntime.RegisterServiceAsync("StatelessType", context => new Stateless(context, Log.Logger)).GetAwaiter().GetResult(); +``` +4. In the service constructor, add the following which creates the property enrichers for the ServiceTypeName, ServiceName, PartitionId and InstanceId properties of the service. It also adds it to the ASP.NET Core logging factory so the Microsoft.Extensions.Logging.ILogger can be used in your code. +```csharp + public Stateless(StatelessServiceContext context, Serilog.ILogger serilog) + : base(context) + { + PropertyEnricher[] properties = new PropertyEnricher[] + { + new PropertyEnricher("ServiceTypeName", context.ServiceTypeName), + new PropertyEnricher("ServiceName", context.ServiceName), + new PropertyEnricher("PartitionId", context.PartitionId), + new PropertyEnricher("InstanceId", context.ReplicaOrInstanceId), + }; + + serilog.ForContext(properties); + + _logger = new LoggerFactory().AddSerilog(serilog.ForContext(properties)).CreateLogger(); + } +``` +5. Instrument the code the same as when using ASP.NET Core without SiriLog. + +[!NOTE] It is not recommended that the static Log.Logger be used with this approach because Service Fabric can host multiple instances of the same service type within a single process. This would mean that the last writer of the property enrichers would have their values shown for all instances running. This is one reason why the _logger variable is a private member variable of the service class. This also means that the _logger must be made available to common code that may be used across services. + +## Which one should I use? +If your application cares deeply about performance, then EventSource is the best approach to use because it will **generally** use fewer resources and perform better than using ASP.NET Core logging or any of the thrid party solutions. This isn't an issue for many services, but if your service is very performance oriented using EventSource may be a better choice. Of course, to get the same benefits of structure logging, EventSource requires a large investement from the engineering team. The best way to determine what to choose for your project is to do a quick prototype of what you would do for each approach and then choose the approach that best fits your needs. + +# Event and log collection + +## Azure Diagnostics + +Beyond what Azure Monitoring already provides, Azure also provides a means of collecting events from each of the services to a central location. There are two articles that show how to configure event collection for [Windows](service-fabric-diagnostics-how-to-setup-wad.md) and [Linux](service-fabric-diagnostics-how-to-setup-lad.md). These articles show collecting the event data and sending it to Azure storage. This is very easily done in the portal or ARM template by enabling diagnostics. Turning this on collects a few event sources that Service Fabric automatically produces: + +- EventSource events and performance counters when using the Reliable Actor programming model. The events are enumerated in the article on [Diagnostic and performance monitoring for Reliable Actors](service-fabric-reliable-actors-diagnostics.md) +- EventSource events when using the Reliable Services programming model. The events are enumerated in the article on [Diagnostic functionality for Stateful Reliable Services](service-fabric-reliable-services-diagnostics.md) +- System events are emitted as ETW events. There are a large number of events that are emitted from Service Fabric as part of this category they include service placement, start/stop events. The best way to see the events emitted is to use [Visual Studio's diagnostic viewer](service-fabric-diagnostics-how-to-monitor-and-diagnose-services-locally.md) when running on your local machine. Because these events are native ETW events, there are some limitations for how they can be collected +- As of the 5.4 release of Service Fabric health and load metric events are also exposed. This allows collection of these events to be used for historical reporting and alerting. These events are also native ETW events and will have some limitations for how they can be collected + +When configured, these events will appear in one of the Azure Storage accounts created when the cluster was created, assuming diagnostic was enabled. The tables are named *WADServiceFabricReliableActorEventTable*, *WADServiceFabricReliableServiceEventTable* and *WADServiceFabricSystemEventTable*. The health events are not added by default and require that the ARM template be modified. Refer to [Collect log by using Azure Diagnostics](service-fabric-diagnostics-how-to-setup-wad.md) for details. + +These articles also show how to get custom events into Azure storage. Any of the existing Azure Diagnostic articles on how to configure performance counters or other monitoring information from a VM to Azure Diagnostics will also work with a Service Fabric cluster. For instance, if Azure table storage as a destination isn't what you want, there is an article on how [Streaming Azure Diagnostics data in the hot path by using Event Hubs](../event-hubs/event-hubs-streaming-azure-diags-data.md). Once the events are in Event Hub, they can be read and sent to the location of your choosing. + +One of the downsides of using Azure Diagnostics is that the configuration is done using a resource manager template and therefore occurs at the VMSS level only. A VMSS corresponds to a node type in Service Fabric. This means you must configure each node type for all of the applications and services that may run on a node of that type. This could be a large number of EventSources depending on the number of applications and services configured. Additionally, a resource manager deployment must be done any time the configuration of any application has changed. Ideally, monitoring configuration would travel along with the service configuration. + +Azure Diagnostics only works for Service Fabric clusters deployed to Azure, but it works for both Windows and Linux clusters. + +## EventFlow +[EventFlow was release by the Visual Studio](service-fabric-diagnostic-collect-logs-without-an-agent.md) team and provides a mechanism for routing events from a node to one or more monitoring destinations. Because it is included as a NuGet package in your service project the code and the configuration for EventFlow travels with the service, eliminating the per node configuration issue mentioned about Azure Diagnostics. EventFlow runs within your service process and directly connects to the configured outputs. Because of this direct connection, EventFlow works for Azure, container or on-premise deployments of a service. Care must be taken when running in high density scenarios such as a container because each EventFlow pipeline will make an external connection, if you are hosting lots of processes, you'll end up with lots of outbound connections! This isn't as much of an issue for Service Fabric applications because all replicas of a ServiceType run within the same process, limiting the number of outbound connections. EventFlow also offers filtering of events, so only the events that match the specified filter are sent. + +[!NOTE] +In a future release of Service Fabric an EventSource host application will be made available allowing listening to ETW based inputs, collection of node level metrics and rolling log file support. + +Using EventFlow is pretty easy +1. Add the NuGet package to your service project +2. Within the service's **main** function create the EventFlow pipeline and configure the outputs. In this case, we're showing using SeriLog as an output +```csharp + internal static class Program + { + /// + /// This is the entry point of the service host process. + /// + private static void Main() + { + try + { + using (var pipeline = ServiceFabricDiagnosticPipelineFactory.CreatePipeline("MonitoringE2E-Stateless-Pipeline")) + { + IObserver serilogInput = pipeline.Inputs.OfType().First(); + Log.Logger = new LoggerConfiguration().WriteTo.Observers(events => events.Subscribe(serilogInput)).CreateLogger(); + + // The ServiceManifest.XML file defines one or more service type names. + // Registering a service maps a service type name to a .NET type. + // When Service Fabric creates an instance of this service type, + // an instance of the class is created in this host process. + + ServiceRuntime.RegisterServiceAsync("StatelessType", context => new Stateless(context, Log.Logger)).GetAwaiter().GetResult(); + ServiceEventSource.Current.ServiceTypeRegistered(Process.GetCurrentProcess().Id, typeof(Stateless).Name); + + // Prevents this host process from terminating so services keep running. + Thread.Sleep(Timeout.Infinite); + } + } + catch (Exception e) + { + ServiceEventSource.Current.ServiceHostInitializationFailed(e.ToString()); + throw; + } + } + } +``` +3. Create a new file in the service's PackageRoot | Config folder named *eventFlowConfig.json*. Inside the file the configuration looks like +```json + { + "inputs": [ + { + "type": "EventSource", + "sources": [ + { "providerName": "Microsoft-ServiceFabric-Services" }, + { "providerName": "Microsoft-ServiceFabric-Actors" }, + { "providerName": "MyCompany-MonitoringE2E-Stateless" } + ] + }, + { + "type": "Serilog" + } + ], + "filters": [ + { + "type": "drop", + "include": "Level == Verbose" + }, + { + "type": "metadata", + "metadata": "request", + "requestNameProperty": "RequestName", + "include": "RequestName==MyRequest", + "durationProperty": "Duration", + "durationUnit": "milliseconds" + } + ], + "outputs": [ + { + "type": "StdOutput" + }, + { + "type": "ApplicationInsights", + "instrumentationKey": "== instrumentation key here ==" + } + ], + "schemaVersion": "2016-08-11", + "extensions": [] + } +``` +In the configuration there are two inputs defined, the two EventSource based sources created by Service Fabric and the EventSource for the service. Notice that the system level and health events that use ETW are not available to EventFlow. This is because a high level privilege is required to listen to an ETW source and services should never run with any high privileges. The other input is SeriLog, it's configuration occurred in the **main** method. There are also some filters applied, the first tells EventFlow to drop all events that are of an event level of verbose. We'll come back to the other filter definition in a minute. There are also two outputs configured, standard output, which will write to the output window within Visual Studio. The other output is ApplicationInsights, just be sure to add your instrumentation key. + +4. The last step is to instrument the code. In this example, we're going to instrument RunAsync in a few different ways as an example. In the code below, we're still using SeriLog and some of the syntax used is specific to SeriLog. Be aware of the specific capabilities for the logging solution you choose. There are three events generated, a debug level event and two informational, the second which is tracking the request duration. With the configuration of EventFlow above, the Debug level event should not flow to the output. + +```csharp + Stopwatch sw = Stopwatch.StartNew(); + + while (true) + { + cancellationToken.ThrowIfCancellationRequested(); + + sw.Restart(); + + // Delay a random interval to provide a more interesting request duration. + await Task.Delay(TimeSpan.FromMilliseconds(DateTime.Now.Millisecond), cancellationToken); + + ServiceEventSource.Current.ServiceMessage(this.Context, "Working-{0}", ++iterations); + _logger.LogDebug("Debug level event from Microsoft.Logging"); + _logger.LogInformation("Informational level event from Microsoft.Logging"); + _logger.LogInformation("{RequestName} {Duration}", "MyRequest", sw.ElapsedMilliseconds); + } +``` + +5. To view the events in Application Insights, open the Azure portal and navigate to your ApplicationInsights resource. Then click "Search" in the upper left and the events should be visible. + +![Application Insights Search view of events](./media/service-fabric-diagnostics-overview/ai-search-events.png) + +The trace are at the bottom of the picture. You can see we have only two events, the debug level event was dropped by EventFlow. So what's the request entry just above the trace? It's the third '_logger' instrumentation line that shows the event was translated into a request metric within Application Insights. Let's go back to the filter definition, where the type is 'metadata'. This is declaring that an event that has a property of 'RequestName' with the value 'MyRequest' and that another property, 'Duration' contains the duration of the request in milliseconds. This is what you see in the request event in Application Insights. The same approach works with any of the supported EventFlow inputs including EventSource. + +If the cluster is a standalone cluster that cannot for be connected to a cloud based solution for policy reasons, EventFlow supports Elastic Search as an output, but other outputs can be written and pull requests are encouraged. Some of the third party providers for ASP.NET Core logging also have solutions that will support on premise installations. + +# Azure Service Fabric health and load reporting + +Service Fabric has it's own health model that is described in detail in a few articles +- [Introduction to Service Fabric health monitoring](service-fabric/service-fabric-health-introduction.md) +- [Report and check service health](service-fabric-diagnostics-how-to-report-and-check-service-health.md) +- [Add custom Service Fabric health reports](service-fabric/service-fabric-report-health.md) +- [View Service Fabric health reports](service-fabric-view-entities-aggregated-health.md) + +Health monitoring is critical to various aspects of operating a service. Most importantly is when Service Fabric is performing an upgrade, after each service has been upgraded and is made available to a subset of your customers, health checks must be passing before moving to the next upgrade domain. If good health cannot be achieved, the deployment will be rolled back leaving the application is a known good state. While some customers were impacted before the services could be rolled back, most customers didn't experience an issue. Also the resolution occurred relatively quickly and without having to wait for action from an human operator. The more health checks that are incorporated into the code, the more resilient the service will be to deployment issues. + +Another aspect of service health is reporting metrics from the service. Metrics are important in Service Fabric because they are used to balance resource usage and can be used as an indicator of system health. Let's say your application contains many services and each instance reports a Request Per Second (RPS) metric. If one of the service is using more resources than another service, Service Fabric will move service instances around the cluster trying to maintain even resource utilization. The article [Managing resource consumption and load in Service Fabric with metrics](service-fabric-cluster-resource-manager-metrics) provides a detailed explanation of how this works. + +Metrics also give insight into how your service is performing and over time can be used to check that the service is operating within expected parameters. For instance, if based on trends, at 9am on Monday morning the average RPS is 1000, then you may setup a health report that alerts if the RPS is below 500 or above 1500. Everything may be perfectly fine, but it may be worth a look to ensure your customers are having a great experience. Your service can define a set of metrics that can be reported for health purposes, but does not affect the resource balancing of the cluster, just set the metric weight to zero. We recommend that you start all metric with a weight of zero and don't increase the weight until you are sure that you understand how this will impact resource balancing for your cluster. + +[!TIP] +Take care not to have too main weighted metrics, it can be difficult to understand why service instances are being moved around, a few metrics can go a long way! + +Candidates for metrics and health reports are anything that can indicate the health and performance of your application. A CPU performance counter can tell you how utilized your node is, but it doesn't really say if a particular service is health or not because multiple services will be running on a single node. On the other hand a metric such as RPS or items processed or request latency can all indicate the health of a particular service. + +To report health, add code such as + +```csharp + if (!result.HasValue) + { + HealthInformation healthInformation = new HealthInformation("ServiceCode", "StateDictionary", HealthState.Error); + this.Partition.ReportInstanceHealth(healthInformation); + } +``` + +To report a metric add code like the following to your service + +```csharp +this.ServicePartition.ReportLoad(new List { new LoadMetric("MemoryInMb", 1234), new LoadMetric("metric1", 42) }); +``` + +## Watchdogs +A watchdog is a separate service that can watch health and load across services and report health for anything in the health model hierarchy. This can help to prevent errors that would not be detected based on the view of a single service. Watchdogs are also a good place to host code that can perform remediation actions for known conditions without any human interaction. + +# Visualization, Analysis and Alerting +The last part of monitoring is visualizing the event stream, reporting on service performance and alerting when an issue is detected. There are a lot of solutions that are used for this aspect of monitoring, Application Insights and OMS can be used to alert based on the stream of events. PowerBI or a third party solution such as [Kibana](https://www.elastic.co/products/kibana) or [Splunk](https://www.splunk.com/) can be used for visualizing the data. + +## Next steps +* [Azure Monitoring Overview](../monitoring-and-diagnostics/monitoring-overview.md) +* [How to collect logs with Azure Diagnostics](service-fabric-diagnostics-how-to-setup-wad.md) +* [Using ElasticSearch as a Service Fabric application trace store](service-fabric-diagnostic-how-to-use-elasticsearch.md) + From 168f636cfed49bfa01231d5b942ef80d6dab6f22 Mon Sep 17 00:00:00 2001 From: Bhanu Prakash Date: Sun, 22 Jan 2017 22:54:01 -0800 Subject: [PATCH 19/90] Update hdinsight-upgrade-cluster.md --- articles/hdinsight/hdinsight-upgrade-cluster.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md index 4d374df51cf22..8e1e9a0a1d06e 100644 --- a/articles/hdinsight/hdinsight-upgrade-cluster.md +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -32,7 +32,7 @@ The workflow to upgrade HDInsight Cluster is as follows. 1. Read each section of this document to understand changes that may be required when upgrading your HDInsight cluster. 2. Create a new cluster as a test/quality assurance environment. For more information on creating a cluster, see [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) -3. Copy existing jobs, data sources and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-hadoop-provision-linux-clusters.md) for more details. +3. Copy existing jobs, data sources and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-hadoop-provision-linux-clusters.md#copy-data-to-the-test-environment) for more details. 4. Perform validation testing to make sure that your jobs work as expected on the new cluster. From 7bfe09d2c7ce6d3ca2820ce4cc40ef4984c4698f Mon Sep 17 00:00:00 2001 From: Bhanu Prakash Date: Tue, 24 Jan 2017 23:04:58 -0800 Subject: [PATCH 20/90] Update hdinsight-upgrade-cluster.md Grammatical changes --- articles/hdinsight/hdinsight-upgrade-cluster.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md index 8e1e9a0a1d06e..fccc1c519bb2a 100644 --- a/articles/hdinsight/hdinsight-upgrade-cluster.md +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -18,7 +18,7 @@ ms.author: bhanupr --- # Upgrade HDInsight cluster to a newer version To take advantage of the latest HDInsight features, we recommend that HDInsight clusters be upgraded to latest version. -Please follow the below guidelines to upgrade your HDInsight cluster versions. +Follow the below guidelines to upgrade your HDInsight cluster versions. > [!NOTE] > HDInsight clusters version 3.2 and 3.3 are nearing deprecation date. For information on the version of Ubuntu available with HDInsight, along with other component versioning information, see [HDInsight component versions](hdinsight-component-versioning.md). @@ -32,17 +32,17 @@ The workflow to upgrade HDInsight Cluster is as follows. 1. Read each section of this document to understand changes that may be required when upgrading your HDInsight cluster. 2. Create a new cluster as a test/quality assurance environment. For more information on creating a cluster, see [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) -3. Copy existing jobs, data sources and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-hadoop-provision-linux-clusters.md#copy-data-to-the-test-environment) for more details. +3. Copy existing jobs, data sources, and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-hadoop-provision-linux-clusters.md#copy-data-to-the-test-environment) for more details. 4. Perform validation testing to make sure that your jobs work as expected on the new cluster. Once you have verified that everything works as expected, schedule downtime for the migration. During this downtime, do the following -actions. +actions: -1. Backup any transient data stored locally on the cluster nodes. For example, if you have data stored directly on a head node. +1. Back up any transient data stored locally on the cluster nodes. For example, if you have data stored directly on a head node. 2. Delete the existing cluster. -3. Create a new cluster in the same VNET subnet with latest (or supported) HDI version using the same default data store that the previous cluster used. This will allow the new cluster to continue working against your existing production data. +3. Create a new cluster in the same VNET subnet with latest (or supported) HDI version using the same default data store that the previous cluster used. This allows the new cluster to continue working against your existing production data. 4. Import any transient data you backed up. 5. Start jobs/continue processing using the new cluster. From 420155bdeb0e9f1199e1287cc16740ffbc658a8e Mon Sep 17 00:00:00 2001 From: Bhanu Prakash Date: Tue, 24 Jan 2017 23:10:33 -0800 Subject: [PATCH 21/90] Update hdinsight-upgrade-cluster.md --- articles/hdinsight/hdinsight-upgrade-cluster.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md index fccc1c519bb2a..db61101096afa 100644 --- a/articles/hdinsight/hdinsight-upgrade-cluster.md +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -32,7 +32,7 @@ The workflow to upgrade HDInsight Cluster is as follows. 1. Read each section of this document to understand changes that may be required when upgrading your HDInsight cluster. 2. Create a new cluster as a test/quality assurance environment. For more information on creating a cluster, see [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) -3. Copy existing jobs, data sources, and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-hadoop-provision-linux-clusters.md#copy-data-to-the-test-environment) for more details. +3. Copy existing jobs, data sources, and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-migrate-from-windows-to-linux.md#copy-data-to-the-test-environment) for more details. 4. Perform validation testing to make sure that your jobs work as expected on the new cluster. From 94ce3f058a3650b6f3e110b96a6d68d1c5bf3bd0 Mon Sep 17 00:00:00 2001 From: Bhanu Prakash Date: Tue, 24 Jan 2017 23:22:49 -0800 Subject: [PATCH 22/90] Update hdinsight-upgrade-cluster.md --- articles/hdinsight/hdinsight-upgrade-cluster.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md index db61101096afa..abd98e8e76a98 100644 --- a/articles/hdinsight/hdinsight-upgrade-cluster.md +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -21,7 +21,7 @@ To take advantage of the latest HDInsight features, we recommend that HDInsight Follow the below guidelines to upgrade your HDInsight cluster versions. > [!NOTE] -> HDInsight clusters version 3.2 and 3.3 are nearing deprecation date. For information on the version of Ubuntu available with HDInsight, along with other component versioning information, see [HDInsight component versions](hdinsight-component-versioning.md). +> HDInsight clusters version 3.2 and 3.3 are nearing deprecation date. For information on supported version of HDInsight, see [HDInsight component versions](hdinsight-component-versioning.md#supported-hdinsight-versions). > > From f90c6b7c373294f56a9bdf3eee2cde80154b58ba Mon Sep 17 00:00:00 2001 From: Bhanu Prakash Date: Tue, 24 Jan 2017 23:28:22 -0800 Subject: [PATCH 23/90] Update hdinsight-upgrade-cluster.md --- articles/hdinsight/hdinsight-upgrade-cluster.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/hdinsight/hdinsight-upgrade-cluster.md b/articles/hdinsight/hdinsight-upgrade-cluster.md index abd98e8e76a98..c977312487323 100644 --- a/articles/hdinsight/hdinsight-upgrade-cluster.md +++ b/articles/hdinsight/hdinsight-upgrade-cluster.md @@ -31,7 +31,7 @@ The workflow to upgrade HDInsight Cluster is as follows. ![Upgrade workflow diagram](./media/hdinsight-upgrade-cluster/upgrade-workflow.png) 1. Read each section of this document to understand changes that may be required when upgrading your HDInsight cluster. -2. Create a new cluster as a test/quality assurance environment. For more information on creating a cluster, see [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) +2. Create a cluster as a test/quality assurance environment. For more information on creating a cluster, see [Learn how to create Linux-based HDInsight clusters](hdinsight-hadoop-provision-linux-clusters.md) 3. Copy existing jobs, data sources, and sinks to the new environment. See [Copy Data To Test Environment](hdinsight-migrate-from-windows-to-linux.md#copy-data-to-the-test-environment) for more details. 4. Perform validation testing to make sure that your jobs work as expected on the new cluster. @@ -42,7 +42,7 @@ actions: 1. Back up any transient data stored locally on the cluster nodes. For example, if you have data stored directly on a head node. 2. Delete the existing cluster. -3. Create a new cluster in the same VNET subnet with latest (or supported) HDI version using the same default data store that the previous cluster used. This allows the new cluster to continue working against your existing production data. +3. Create a cluster in the same VNET subnet with latest (or supported) HDI version using the same default data store that the previous cluster used. This allows the new cluster to continue working against your existing production data. 4. Import any transient data you backed up. 5. Start jobs/continue processing using the new cluster. From f6881b133b64541795f8fe88837b4c4c9d67851a Mon Sep 17 00:00:00 2001 From: mumian Date: Fri, 27 Jan 2017 11:49:04 -0500 Subject: [PATCH 24/90] update --- ...t-apache-spark-jupyter-notebook-kernels.md | 50 +++++++++---------- .../hdinsight-domain-joined-architecture.md | 40 +++++++-------- 2 files changed, 45 insertions(+), 45 deletions(-) diff --git a/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md b/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md index 59f4ae9b4af60..23c0a407d30af 100644 --- a/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md +++ b/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md @@ -18,57 +18,57 @@ ms.date: 10/05/2016 ms.author: nitinme --- -# Kernels available for Jupyter notebooks with Apache Spark clusters on HDInsight +# Jupyter notebooks kernels with Apache Spark clusters in HDInsight -Apache Spark cluster on HDInsight (Linux) includes Jupyter notebooks that you can use to test your applications. A kernel is a program that runs and interprets your code. HDInsight Spark clusters provide two kernels that you can use with the Jupyter notebook. These are: +HDInsight Spark clusters provide two kernels that you can use with the Jupyter notebook for testing your Spark applications. A kernel is a program that runs and interprets your code.The two kernels are: -1. **PySpark** (for applications written in Python) -2. **Spark** (for applications written in Scala) +- **PySpark** (for applications written in Python) +- **Spark** (for applications written in Scala) -In this article, you will learn about how to use these kernels and what are the benefits you get from using them. +In this article, you learn how to use these kernels and the benefits of using them. **Prerequisites:** You must have the following: -* An Azure subscription. See [Get Azure free trial](https://azure.microsoft.com/documentation/videos/get-azure-free-trial-for-testing-hadoop-in-hdinsight/). -* An Apache Spark cluster on HDInsight. For instructions, see [Create Apache Spark clusters in Azure HDInsight](hdinsight-apache-spark-jupyter-spark-sql.md). +* An Apache Spark cluster in HDInsight. For instructions, see [Create Apache Spark clusters in Azure HDInsight](hdinsight-apache-spark-jupyter-spark-sql.md). -## How do I use the kernels? -1. From the [Azure Portal](https://portal.azure.com/), from the startboard, click the tile for your Spark cluster (if you pinned it to the startboard). You can also navigate to your cluster under **Browse All** > **HDInsight Clusters**. -2. From the Spark cluster blade, click **Cluster Dashboard**, and then click **Jupyter Notebook**. If prompted, enter the admin credentials for the cluster. +## Create a Jupyter notebook +1. From the [Azure Portal](https://portal.azure.com/), open your cluster. See [List and show clusters](hdinsight-administer-use-portal-linux.md#list-and-show-clusters) for the instructions. The cluster is opened in a new portal blade. +2. From the **Quick links** section, click **Cluster dashboards** to open the **Cluster dashboards** blade. If you don't see **Quick Links**, click **Overview** from the left menu on the blade. + ![Cluster dashboards](./media/hdinsight-apache-spark-jupyter-notebook-kernels/hdinsight-azure-portal-cluster-dashboards.png "Cluster dashboards") +3. Click **Jupyter Notebook**. If prompted, enter the admin credentials for the cluster. + > [!NOTE] > You may also reach the Jupyter Notebook for your cluster by opening the following URL in your browser. Replace **CLUSTERNAME** with the name of your cluster: > > `https://CLUSTERNAME.azurehdinsight.net/jupyter` - > - > -3. Create a new notebook with the new kernels. Click **New**, and then click **Pyspark** or **Spark**. You should use the Spark kernel for Scala applications and PySpark kernel for Python applications. + > + > +3. Click **New**, and then click either **Pyspark** or **Spark** to create a new notebook. You should use the Spark kernel for Scala applications and PySpark kernel for Python applications. + + ![Create a new Jupyter notebook](./media/hdinsight-apache-spark-jupyter-notebook-kernels/jupyter-kernels.png "Create a new Jupyter notebook") - ![Create a new Jupyter notebook](./media/hdinsight-apache-spark-jupyter-notebook-kernels/jupyter-kernels.png "Create a new Jupyter notebook") 4. This should open a new notebook with the kernel you selected. -## Why should I use the PySpark or Spark kernels? +## Choose between the kernels Here are a few benefits of using the new kernels. -1. **Preset contexts**. With the **PySpark** or **Spark** kernels that are provided with Jupyter notebooks, you do not need to set the Spark or Hive contexts explicitly before you can start working with the application you are developing; these are available for you by default. These contexts are: - +- **Preset contexts**. With either the **PySpark** or the **Spark** kernels, you do not need to set the Spark or Hive contexts explicitly before you start working with your applications; these are available for you by default. These contexts are: + * **sc** - for Spark context * **sqlContext** - for Hive context So, you don't have to run statements like the following to set the contexts: - ################################################### - # YOU DO NOT NEED TO RUN THIS WITH THE NEW KERNELS - ################################################### - sc = SparkContext('yarn-client') - sqlContext = HiveContext(sc) + sc = SparkContext('yarn-client') + sqlContext = HiveContext(sc) Instead, you can directly use the preset contexts in your application. -1. **Cell magics**. The PySpark kernel provides some predefined “magics”, which are special commands that you can call with `%%` (e.g. `%%MAGIC` ). The magic command must be the first word in a code cell and allow for multiple lines of content. The magic word should be the first word in the cell. Adding anything before the magic, even comments, will cause an error. For more information on magics, see [here](http://ipython.readthedocs.org/en/stable/interactive/magics.html). - +- **Cell magics**. The PySpark kernel provides some predefined “magics”, which are special commands that you can call with `%%` (e.g. `%%MAGIC` ). The magic command must be the first word in a code cell and allow for multiple lines of content. The magic word should be the first word in the cell. Adding anything before the magic, even comments, will cause an error. For more information on magics, see [here](http://ipython.readthedocs.org/en/stable/interactive/magics.html). + The table below lists the different magics available through the kernels. | Magic | Example | Description | @@ -163,4 +163,4 @@ The new kernels are in evolving stage and will mature over time. This could also ### Manage resources * [Manage resources for the Apache Spark cluster in Azure HDInsight](hdinsight-apache-spark-resource-manager.md) -* [Track and debug jobs running on an Apache Spark cluster in HDInsight](hdinsight-apache-spark-job-debugging.md) \ No newline at end of file +* [Track and debug jobs running on an Apache Spark cluster in HDInsight](hdinsight-apache-spark-job-debugging.md) diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index 8c3f926c5d5ab..cb46d2156b3e5 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -22,34 +22,34 @@ ms.author: saurinsh Today, HDInsight is a single user cluster, which works fine for most companies who have smaller application teams building their BigData workloads. However, as Hadoop is gaining popularity, many enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams are sharing clusters. Thus, multi-user clusters are one of the most requested functionalities in HDInsight. -Instead of building our own multi-user authentication, and authorization, HDInsight relies on the most popular identity provider – Active Directory. After integrating HDInsight with active directory, AD users can communicate with the cluster using their active directory credentials. The powerful security groups functionality in active directory can be used to manage multi-user authorization in HDInsight. HDInsight maps the active directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, and so on) work seamlessly for the logged in user. +Instead of building our own multi-user authentication, and authorization, HDInsight relies on the most popular identity provider – Active Directory. After integrating HDInsight with Active Directory, AD users can communicate with the cluster using their Active Directory credentials. The powerful security groups functionality in Active Directory can be used to manage multi-user authorization in HDInsight. HDInsight maps the Active Directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, and so on) work seamlessly for the logged in user. ## Integrate HDInsight with Active Directory -When HDInsight is integrated with active directory, the HDInsight Linux nodes are domain-joined to the active directory domain. HDInsight creates service principals for the hadoop services running on the cluster and place them within a specified Organizational Unit in the active directory. HDInsight also creates reverse DNS mappings in the active directory domain for the IP addresses of the nodes that are joined to the domain. +When HDInsight is integrated with Active Directory, the HDInsight Linux nodes are domain-joined to the Active Directory domain. HDInsight creates service principals for the hadoop services running on the cluster and place them within a specified Organizational Unit in the Active Directory. HDInsight also creates reverse DNS mappings in the Active Directory domain for the IP addresses of the nodes that are joined to the domain. To achieve this setup, there are multiple architectures that you can follow. You need to decide which architecture works better for you. **1. HDInsight integrated with AD running on Azure IAAS** -This is the simplest architecture for integrating HDInsight with active directory. The active directory domain controller runs on one (or multiple) virtual machines (VM) in Azure. Usually these VMs are within a virtual network. You can setup a new virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the active directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). +This is the simplest architecture for integrating HDInsight with Active Directory. The Active Directory domain controller runs on one (or multiple) virtual machines (VM) in Azure. Usually these VMs are within a virtual network. You can setup a new virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the Active Directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image1.png) -Pre-requisites that need to be setup on active directory +Prerequisites that need to be setup on Active Directory * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. -* LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* LDAPS must be setup for communicating with the Active Directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * A service account, or a user account is needed, which issued to create the HDInsight cluster. This account must have the following permissions: - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to join machines to the Active Directory domain. **2. HDInsight integrated with a cloud-only Azure AD** -For a cloud-only azure active directory, you need to configure a domain controller so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +For a cloud-only Azure Active Directory, you need to configure a domain controller so that HDInsight can be integrated with your Azure Active Directory (AAD). This is achieved using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. @@ -58,7 +58,7 @@ The AD DS only exists in Classic VNETs today, and hence you need access to Class ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) -Pre-requisites that need to be setup on active directory +Prerequisites that need to be setup on Active Directory * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). @@ -68,28 +68,28 @@ Pre-requisites that need to be setup on active directory - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to join machines to the Active Directory domain. **3. HDInsight integrated with an on-premises AD via VPN** -This architecture is like the architecture #1. The only difference is that in this case, your active directory is on-premises and the line of sight for HDInsight to active directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). +This architecture is like the architecture #1. The only difference is that in this case, your Active Directory is on-premises and the line of sight for HDInsight to Active Directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image3.png) -Pre-requisites that need to be setup on the on-premises active directory +Prerequisites that need to be setup on the on-premises Active Directory * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. -* LDAPS must be setup for communicating with the active directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* LDAPS must be setup for communicating with the Active Directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). * A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to join machines to the Active Directory domain. -**4. HDIsight integrated with an on-premises AD synced to an Azure AD** +**4. HDInsight integrated with an on-premises AD synced to an Azure AD** -This architecture is like the architecture #2. The only difference is that in this case, the on-premises active directory is synced to the azure active directory (AAD). You need to configure a domain controller on the cloud so that HDInsight can be integrated with your azure active directory (AAD). This is achieved using [azure active directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +This architecture is like the architecture #2. The only difference is that in this case, the on-premises Active Directory is synced to the Azure Active Directory (AAD). You need to configure a domain controller on the cloud so that HDInsight can be integrated with your Azure Active Directory (AAD). This is achieved using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. @@ -98,7 +98,7 @@ The AD DS only exists in Classic VNETs today, and hence you need access to Class ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) -Pre-requisites that need to be setup on active directory +Prerequisites that need to be setup on Active Directory * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). @@ -108,11 +108,11 @@ Pre-requisites that need to be setup on active directory - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to join machines to the Active Directory domain. **5. HDInsight integrated with a non-default Azure AD (recommended only for testing and development)** -This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the active directory, it may be beneficial to just create a new azure active directory in the subscription. Since this is an AAD that you created, you have full permissions to this AAD to configure the AD DS. +This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the Active Directory, it may be beneficial to just create a new Azure Active Directory in the subscription. Since this is an AAD that you created, you have full permissions to this AAD to configure the AD DS. The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. @@ -123,7 +123,7 @@ The AD DS only exists in Classic VNETs today, and hence you need access to Class ![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) -Pre-requisites that need to be setup on active directory +Prerequisites that need to be setup on Active Directory * An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you need to request an exception from hdipreview@microsoft.com. @@ -133,7 +133,7 @@ Pre-requisites that need to be setup on active directory - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules - - Permissions to join machines to the active directory domain. + - Permissions to join machines to the Active Directory domain. ## Next steps * For configuring a Domain-joined HDInsight cluster, see [Configure Domain-joined HDInsight clusters](hdinsight-domain-joined-configure.md). From 988c887d2d26ab3ab5b287f803c7d598bd6620e3 Mon Sep 17 00:00:00 2001 From: Mimi Gentz Date: Wed, 1 Feb 2017 15:54:41 -0600 Subject: [PATCH 25/90] DocDB: Staging MVA video for testing purposes. --- articles/documentdb/documentdb-introduction.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/articles/documentdb/documentdb-introduction.md b/articles/documentdb/documentdb-introduction.md index 74343445b96eb..cd6bf32408e2b 100644 --- a/articles/documentdb/documentdb-introduction.md +++ b/articles/documentdb/documentdb-introduction.md @@ -84,6 +84,14 @@ DocumentDB allows you to write application logic as named programs written entir JavaScript execution within DocumentDB is modeled after the concepts supported by relational database systems, with JavaScript as a modern replacement for Transact-SQL. All JavaScript logic is executed within an ambient ACID transaction with snapshot isolation. During the course of its execution, if the JavaScript throws an exception, then the entire transaction is aborted. +## Are there any online courses on DocumentDB? + +Yes, there's a [Microsoft Virtual Academy](https://mva.microsoft.com/en-US/training-courses/azure-documentdb-planetscale-nosql-16847) course on Azure DocumentDB. + +>[!VIDEO https://mva.microsoft.com/en-US/training-courses-embed/azure-documentdb-planetscale-nosql-16847] +> +> + ## Next steps Already have an Azure account? Then you can get started with DocumentDB in the [Azure Portal](https://portal.azure.com/#gallery/Microsoft.DocumentDB) by [creating a DocumentDB database account](documentdb-create-account.md). 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zGv_nW@lZt;pQHiTJtC;>H~t$mvh6oN`V=IMN(}tn(bZty9*4a!A~rAW_ctDOG;PgK zzohoQ-(*fva#}5|i)MWC5_8)$OFRS9>rO7F9voWgxGmhkq;s^R0(ir_pUW#CaA7u0F_+SV z+IKJFIJq*qc<~jr@%lZ~91jb)>hx=Du8%P*R#Rypxz_&tg{45`t*M}+?Ka}9y)@94 zt9_T_v1XoM!pa)~hr`FImgN^xy`9`g_diSw3VIt&LOpjCjK&AFTR)ii!@rW}f*(4E z-Y)6jtI>C~72ZDvNf(ndr2flg!UW>qf(mG)k@)-E7vKTw|Muu84GcRwn*6UP1;lXw j **Important** - the introduction of the new Blob Auditing brings a major change to the way Server auditing policy is being inherited by the database. See [Blob/Table differences in Server auditing policy inheritance](#subheading-8) section for additional details. + You can configure auditing for different types of event categories, as explained in the [Set up auditing for your database](#subheading-2) section. @@ -53,57 +55,73 @@ The following section describes the configuration of auditing using the Azure Po ### Blob Auditing 1. Launch the [Azure Portal](https://portal.azure.com) at https://portal.azure.com. 2. Navigate to the settings blade of the SQL Database / SQL Server you want to audit. In the Settings blade, select **Auditing & Threat detection**. - + ![Navigation pane][1] 3. In the database auditing configuration blade, you can check the **Inherit settings from server** checkbox to designate that this database will be audited according to its server's settings. If this option is checked, you will see a **View server auditing settings** link that allows you to view or modify the server auditing settings from this context. - + ![Navigation pane][2] 4. If you prefer to enable Blob Auditing on the database-level (in addition or instead of server-level auditing), **uncheck** the **Inherit Auditing settings from server** option, turn **ON** Auditing, and choose the **Blob** Auditing Type. - + > If server Blob auditing is enabled, the database configured audit will exist side by side with the server Blob audit. - > - > - + ![Navigation pane][3] 5. Select **Storage Details** to open the Audit Logs Storage Blade. Select the Azure storage account where logs will be saved, and the retention period, after which the old logs will be deleted, then click **OK** at the bottom. **Tip:** Use the same storage account for all audited databases to get the most out of the auditing reports templates. - + ![Navigation pane][4] 6. If you want to customize the audited events, you can do this via PowerShell or REST API - see the [Automation (PowerShell / REST API)](#subheading-7) section for more details. 7. Click **Save**. ### Table Auditing -> [!NOTE] + > Before setting up **Table auditing**, check if you are using a ["Downlevel Client"](sql-database-auditing-and-dynamic-data-masking-downlevel-clients.md). Also, if you have strict firewall settings, please note that the [IP endpoint of your database will change](sql-database-auditing-and-dynamic-data-masking-downlevel-clients.md) when enabling Table Auditing. -> -> + 1. Launch the [Azure Portal](https://portal.azure.com) at https://portal.azure.com. 2. Navigate to the settings blade of the SQL Database / SQL Server you want to audit. In the Settings blade, select **Auditing & Threat detection** (*[see screenshot in Blob Auditing section](#auditing-screenshot)*). 3. In the database auditing configuration blade, you can check the **Inherit settings from server** checkbox to designate that this database will be audited according to its server's settings. If this option is checked, you will see a **View server auditing settings** link that allows you to view or modify the server auditing settings from this context. - + ![Navigation pane][2] 4. If you prefer not to inherit Auditing settings from server, **uncheck** the **Inherit Auditing settings from server** option, turn **ON** Auditing, and choose **Table** Auditing Type. - + ![Navigation pane][3-tbl] 5. Select **Storage Details** to open the Audit Logs Storage Blade. Select the Azure storage account where logs will be saved, and the retention period, after which the old logs will be deleted. **Tip:** Use the same storage account for all audited databases to get the most out of the auditing reports templates (*[see screenshot in Blob Auditing section](#storage-screenshot)*). 6. Click on **Audited Events** to customize which events to audit. In the **Logging by event** blade, click **Success** and **Failure** to log all events, or choose individual event categories. - + > Customizing audited events can also be done via PowerShell or REST API - see the [Automation (PowerShell / REST API)](#subheading-7) section for more details. - > - > - + ![Navigation pane][5] 7. Once you've configured your auditing settings, you can turn on the new **Threat Detection** (preview) feature, and configure the emails to receive security alerts. Threat Detection allows you to receive proactive alerts on anomalous database activities that may indicate potential security threats. See [Getting Started with Threat Detection](sql-database-threat-detection-get-started.md) for more details. 8. Click **Save**. + +## Blob/Table differences in Server auditing policy inheritance + +###Blob Auditing + +1. If **Server Blob auditing is enabled**, it will **always audit** the database, regardless of: + - The database auditing settings. + - Whether or not the "Inherit settings from server" checkbox is checked in the database blade. + +2. Enabling Blob auditing in the database, in addition to enabling it in the server, will **not** override or change any of the settings of the Server Blob auditing - both audits will exist side by side. In other words, the database will be audited twice in parallel (once by the Server policy and once by the Database policy). + +3. The only reason to enable both Server Blob auditing and Database Blob auditing is if there is a need to audit different event types or categories for a specific database than are being audited for the rest of the databases on this server (e.g. if table inserts need to be audited only for a specific database). Otherwise, it is recommended to only enable Server Blob auditing and leave the database-level auditing disabled for all databases. + +###Table Auditing + +1. If **Server Table auditing is enabled**, it will only apply to the database if the "Inherit settings from server" checkbox is checked in the database blade. If the checkbox is unchecked and the database-level auditing is disabled, the database will not be audited. + +2. If the "Inherit settings from server" checkbox is checked, any changes made to the auditing settings in database will override the server settings for this database. + + + ## Analyze audit logs and reports Audit logs are aggregated in the Azure storage account you chose during setup. You can explore audit logs using a tool such as [Azure Storage Explorer](http://storageexplorer.com/). -See below specifics for analysis of both **Table** and **Blob** audit logs. +See below specifics for analysis of both **Blob** and **Table** audit logs. ### Blob Auditing Blob Auditing logs are saved as a collection of Blob files within a container named "**sqldbauditlogs**". @@ -112,23 +130,34 @@ For further details about the Blob audit logs storage folder hierarchy, Blob nam There are several methods to view Blob Auditing logs: -1. Through the Azure Portal - **see method (1) in the [Table Auditing section](#activity-ui) below** (Excel download not supported). +1. Through the [Azure Portal](https://portal.azure.com) - open the relevant database. At the top of the database's **Auditing & Threat detection** blade, click on **View audit logs**. + + ![Navigation Pane][10] + + An **Audit records** blade will open, where you'll be able to view the logs. + + * You can choose to view specific dates by clicking on **Filter** at the top area of the Audit records blade + * You can toggle between audit records that were created by server policy or database policy audit + + ![Navigation Pane][11] 2. Download log files from your Azure Storage Blob container via the portal or by using a tool such as [Azure Storage Explorer](http://storageexplorer.com/). - + Once you have downloaded the log file locally, you can double-click the file to open, view and analyze the logs in SSMS. - + Additional methods: - + * You can **download multiple files simultaneously** via Azure Storage Explorer - right-click on a specific subfolder (e.g. a subfolder that includes all log files for a specific date) and choose "Save as" to save in a local folder. - + After downloading several files (or an entire day, as described above), you can merge them locally as follows: - + **Open SSMS -> File -> Open -> Merge Extended Events -> Choose all files to merge** * Programmatically: - + * Extended Events Reader **C# library** ([more info here](https://blogs.msdn.microsoft.com/extended_events/2011/07/20/introducing-the-extended-events-reader/)) * Querying Extended Events Files Using **PowerShell** ([more info here](https://sqlscope.wordpress.com/2014/11/15/reading-extended-event-files-using-client-side-tools-only/)) +3. We have created a **sample application** that runs in Azure and utilizes OMS public APIs to push SQL audit logs into OMS for consumption via the OMS dashboard ([more info here](https://github.com/Microsoft/Azure-SQL-DB-auditing-OMS-integration)). + ### Table Auditing Table Auditing logs are saved as a collection of Azure Storage Tables with a **SQLDBAuditLogs** prefix. @@ -136,18 +165,21 @@ For further details about the Table audit log format, see the [Table Audit Log F There are several methods to view Table Auditing logs: - +1. Through the [Azure Portal](https://portal.azure.com) - open the relevant database. At the top of the database's **Auditing & Threat detection** blade, click on **View audit logs**. + + ![Navigation Pane][10] + + An **Audit records** blade will open, where you'll be able to view the logs. + + * You can choose to view specific dates by clicking on **Filter** at the top area of the Audit records blade + * You can download and view the audit logs in Excel format by clicking on **Open in Excel** at the top area of the Audit records blade + + ![Navigation Pane][12] -1. Through the [Azure Portal](https://portal.azure.com) - at the top of the **Auditing & Threat detection** blade, click on **More** and then on **Explore**. An **Audit records** blade will open, where you'll be able to view the logs. - - * You can choose to view specific dates by clicking on **Filter** at the top area of the Audit records blade - * You can download and view the audit logs in Excel format by clicking on **Open in Excel** at the top area of the Audit records blade - - ![Navigation Pane][7] 2. Alternatively, a preconfigured report template is available as a [downloadable Excel spreadsheet](http://go.microsoft.com/fwlink/?LinkId=403540) to help you quickly analyze log data. To use the template on your audit logs, you need Excel 2013 or later and Power Query, which you can download [here](http://www.microsoft.com/download/details.aspx?id=39379). - + You can also import your audit logs into the Excel template directly from your Azure storage account using Power Query. You can then explore your audit records and create dashboards and reports on top of the log data. - + ![Navigation Pane][9] ## Practices for usage in production @@ -162,7 +194,7 @@ When using Geo-replicated databases, it is possible to set up Auditing on either 1. **Primary database** - turn on **Blob Auditing** either on the server or the database itself, as described in [Set up auditing for your database](#subheading-2-1) section. 2. **Secondary database** - Blob Auditing can only be turned on/off from the Primary database auditing settings. - + * Turn on **Blob Auditing** on the **Primary database**, as described in [Set up auditing for your database](#subheading-2-1) section. (**Note:** Blob Auditing must be enabled on the database itself, not the server). * Once Blob Auditing is enabled on the Primary database, it will also become enabled on the Secondary database. * **Important:** By default, the **storage settings** for the Secondary database will be identical to those of the Primary database, causing **cross-regional traffic**. You can avoid this by enabling Blob Auditing on the **Secondary Server** and configuring a **local storage** in the Secondary Server storage settings (this will override the storage location for the Secondary database and result in each database saving the Audit logs to a local storage). @@ -173,10 +205,10 @@ When using Geo-replicated databases, it is possible to set up Auditing on either In production, you are likely to refresh your storage keys periodically. When refreshing your keys, you need to re-save the auditing policy. The process is as follows: 1. In the storage details blade switch the **Storage Access Key** from *Primary* to *Secondary*, and then click **OK** at the bottom. Then click **SAVE** at the top of the auditing configuration blade. - + ![Navigation Pane][6] 2. Go to the storage configuration blade and **regenerate** the *Primary Access Key*. - + ![Navigation Pane][8] 3. Go back to the auditing configuration blade, switch the **Storage Access Key** from *Secondary* to *Primary*, and then click **OK** at the bottom. Then click **SAVE** at the top of the auditing configuration blade. 4. Go back to the storage configuration blade and **regenerate** the *Secondary Access Key* (in preparation for the next keys refresh cycle). @@ -185,7 +217,7 @@ In production, you are likely to refresh your storage keys periodically. When re You can also configure Auditing in Azure SQL Database using the following automation tools: 1. **PowerShell cmdlets** - + * [Get-AzureRMSqlDatabaseAuditingPolicy][101] * [Get-AzureRMSqlServerAuditingPolicy][102] * [Remove-AzureRMSqlDatabaseAuditing][103] @@ -194,14 +226,14 @@ You can also configure Auditing in Azure SQL Database using the following automa * [Set-AzureRMSqlServerAuditingPolicy][106] * [Use-AzureRMSqlServerAuditingPolicy][107] 2. **REST API - Blob auditing** - + * [Create or Update Database Blob Auditing Policy](https://msdn.microsoft.com/en-us/library/azure/mt695939.aspx) * [Create or Update Server Blob Auditing Policy](https://msdn.microsoft.com/en-us/library/azure/mt771861.aspx) * [Get Database Blob Auditing Policy](https://msdn.microsoft.com/en-us/library/azure/mt695938.aspx) * [Get Server Blob Auditing Policy](https://msdn.microsoft.com/en-us/library/azure/mt771860.aspx) * [Get Server Blob Auditing Operation Result](https://msdn.microsoft.com/en-us/library/azure/mt771862.aspx) 3. **REST API - Table auditing** - + * [Create or Update Database Auditing Policy](https://msdn.microsoft.com/en-us/library/azure/mt604471.aspx) * [Create or Update Server Auditing Policy](https://msdn.microsoft.com/en-us/library/azure/mt604383.aspx) * [Get Database Auditing Policy](https://msdn.microsoft.com/en-us/library/azure/mt604381.aspx) @@ -214,7 +246,7 @@ You can also configure Auditing in Azure SQL Database using the following automa [Practices for usage in production]: #subheading-5 [Storage Key Regeneration]: #subheading-6 [Automation (PowerShell / REST API)]: #subheading-7 - +[Blob/Table differences in Server auditing policy inheritance](#subheading-8) [1]: ./media/sql-database-auditing-get-started/1_auditing_get_started_settings.png @@ -227,7 +259,9 @@ You can also configure Auditing in Azure SQL Database using the following automa [7]: ./media/sql-database-auditing-get-started/7_auditing_get_started_activity_log.png [8]: ./media/sql-database-auditing-get-started/8_auditing_get_started_regenerate_key.png [9]: ./media/sql-database-auditing-get-started/9_auditing_get_started_report_template.png - +[10]: ./media/sql-database-auditing-get-started/10_auditing_get_started_blob_view_audit_logs.png +[11]: ./media/sql-database-auditing-get-started/11_auditing_get_started_blob_audit_records.png +[12]: ./media/sql-database-auditing-get-started/12_auditing_get_started_table_audit_records.png [101]: https://msdn.microsoft.com/en-us/library/azure/mt603731(v=azure.200).aspx [102]: https://msdn.microsoft.com/en-us/library/azure/mt619329(v=azure.200).aspx From 68eab7372607eaac606f5b425e691f0430d1543f Mon Sep 17 00:00:00 2001 From: ArnoMicrosoft Date: Thu, 2 Feb 2017 09:04:56 -0800 Subject: [PATCH 27/90] Update documentdb-key-value-store-cost.md --- articles/documentdb/documentdb-key-value-store-cost.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/documentdb/documentdb-key-value-store-cost.md b/articles/documentdb/documentdb-key-value-store-cost.md index 18f2de5c891ee..3749a4ff3072e 100644 --- a/articles/documentdb/documentdb-key-value-store-cost.md +++ b/articles/documentdb/documentdb-key-value-store-cost.md @@ -42,7 +42,7 @@ The following table shows the number of RUs required to perform read and write t |50 KB|50 RUs|250 RUs| |100 KB|100 RUs|500 RUs| -## Cost of running DocumentDB in Read/Write mode without indexing +## Cost of Reads and Writes If you provision 1,000 RU/sec, this amounts to 3.6m RU/hour and will cost $0.08 for the hour (in the US and Europe). For a 1KB size document, this means that you can consume 3.6m reads or 0.72m writes (3.6mRU / 5) using your provisioned throughput. Normalized to million reads and writes, the cost would be $0.022 /m reads ($0.08 / 3.6) and $0.111/m writes ($0.08 / 0.72). The cost per million becomes minimal as shown in the table below. From 57b84da707de42cb1cfa906b4db496baf414f43d Mon Sep 17 00:00:00 2001 From: mumian Date: Thu, 2 Feb 2017 12:54:24 -0500 Subject: [PATCH 28/90] replace images --- ...t-apache-spark-jupyter-notebook-kernels.md | 4 +- .../hdinsight-domain-joined-architecture.md | 80 +++++++++--------- ...hdinsight-domain-joined-architecture_1.png | Bin 0 -> 13373 bytes ...hdinsight-domain-joined-architecture_2.png | Bin 0 -> 16884 bytes ...hdinsight-domain-joined-architecture_3.png | Bin 0 -> 11715 bytes .../image1.png | Bin 61139 -> 0 bytes .../image2.png | Bin 101450 -> 0 bytes .../image3.png | Bin 67283 -> 0 bytes 8 files changed, 42 insertions(+), 42 deletions(-) create mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_1.png create mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_2.png create mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_3.png delete mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/image1.png delete mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/image2.png delete mode 100644 articles/hdinsight/media/hdinsight-domain-joined-architecture/image3.png diff --git a/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md b/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md index 1a5862f246548..f73eb436b85b3 100644 --- a/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md +++ b/articles/hdinsight/hdinsight-apache-spark-jupyter-notebook-kernels.md @@ -34,7 +34,7 @@ You must have the following: * An Apache Spark cluster in HDInsight. For instructions, see [Create Apache Spark clusters in Azure HDInsight](hdinsight-apache-spark-jupyter-spark-sql.md). ## Create a Jupyter notebook -1. From the [Azure Portal](https://portal.azure.com/), open your cluster. See [List and show clusters](hdinsight-administer-use-portal-linux.md#list-and-show-clusters) for the instructions. The cluster is opened in a new portal blade. +1. From the [Azure portal](https://portal.azure.com/), open your cluster. See [List and show clusters](hdinsight-administer-use-portal-linux.md#list-and-show-clusters) for the instructions. The cluster is opened in a new portal blade. 2. From the **Quick links** section, click **Cluster dashboards** to open the **Cluster dashboards** blade. If you don't see **Quick Links**, click **Overview** from the left menu on the blade. ![Cluster dashboards](./media/hdinsight-apache-spark-jupyter-notebook-kernels/hdinsight-azure-portal-cluster-dashboards.png "Cluster dashboards") @@ -155,7 +155,7 @@ The new kernels are in evolving stage and will mature over time. This could also * [Run jobs remotely on a Spark cluster using Livy](hdinsight-apache-spark-livy-rest-interface.md) ### Tools and extensions -* [Use HDInsight Tools Plugin for IntelliJ IDEA to create and submit Spark Scala applicatons](hdinsight-apache-spark-intellij-tool-plugin.md) +* [Use HDInsight Tools Plugin for IntelliJ IDEA to create and submit Spark Scala applications](hdinsight-apache-spark-intellij-tool-plugin.md) * [Use HDInsight Tools Plugin for IntelliJ IDEA to debug Spark applications remotely](hdinsight-apache-spark-intellij-tool-plugin-debug-jobs-remotely.md) * [Use Zeppelin notebooks with a Spark cluster on HDInsight](hdinsight-apache-spark-use-zeppelin-notebook.md) * [Use external packages with Jupyter notebooks](hdinsight-apache-spark-jupyter-notebook-use-external-packages.md) diff --git a/articles/hdinsight/hdinsight-domain-joined-architecture.md b/articles/hdinsight/hdinsight-domain-joined-architecture.md index cb46d2156b3e5..f6d9adec7a7bf 100644 --- a/articles/hdinsight/hdinsight-domain-joined-architecture.md +++ b/articles/hdinsight/hdinsight-domain-joined-architecture.md @@ -14,33 +14,33 @@ ms.devlang: na ms.topic: hero-article ms.tgt_pltfrm: na ms.workload: big-data -ms.date: 01/10/2017 +ms.date: 02/02/2017 ms.author: saurinsh --- # Plan Azure Domain-joined Hadoop clusters in HDInsight -Today, HDInsight is a single user cluster, which works fine for most companies who have smaller application teams building their BigData workloads. However, as Hadoop is gaining popularity, many enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams are sharing clusters. Thus, multi-user clusters are one of the most requested functionalities in HDInsight. +The traditional Hadoop is a single user cluster. It suits for most companies that have smaller application teams building their BigData workloads. As Hadoop is gaining popularity, many enterprises are moving towards a model where clusters are managed by IT teams, and multiple application teams share clusters. Thus, multi-user clusters are one of the most requested functionalities in HDInsight. -Instead of building our own multi-user authentication, and authorization, HDInsight relies on the most popular identity provider – Active Directory. After integrating HDInsight with Active Directory, AD users can communicate with the cluster using their Active Directory credentials. The powerful security groups functionality in Active Directory can be used to manage multi-user authorization in HDInsight. HDInsight maps the Active Directory user to a local Hadoop user, so all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, and so on) work seamlessly for the logged in user. +Instead of building its own multi-user authentication and authorization, HDInsight relies on the most popular identity provider – Active Directory (AD). The powerful security groups functionality in Active Directory can be used to manage multi-user authorization in HDInsight. By integrating HDInsight with Active Directory, Active Directory users can communicate with the clusters using their Active Directory credentials. HDInsight maps Active Directory user to a local Hadoop user, so that all the services running on HDInsight (Ambari, Hive server, Ranger, Spark thrift server, and so on) work seamlessly for the authenticated user. ## Integrate HDInsight with Active Directory -When HDInsight is integrated with Active Directory, the HDInsight Linux nodes are domain-joined to the Active Directory domain. HDInsight creates service principals for the hadoop services running on the cluster and place them within a specified Organizational Unit in the Active Directory. HDInsight also creates reverse DNS mappings in the Active Directory domain for the IP addresses of the nodes that are joined to the domain. +By integrating HDInsight with Active Directory, the HDInsight cluster nodes are domain-joined to the Active Directory domain. HDInsight creates service principals for the Hadoop services running on the cluster and place them within a specified Organizational Unit (OU) in the Active Directory. HDInsight also creates reverse DNS mappings in the Active Directory domain for the IP addresses of the nodes that are joined to the domain. To achieve this setup, there are multiple architectures that you can follow. You need to decide which architecture works better for you. **1. HDInsight integrated with AD running on Azure IAAS** -This is the simplest architecture for integrating HDInsight with Active Directory. The Active Directory domain controller runs on one (or multiple) virtual machines (VM) in Azure. Usually these VMs are within a virtual network. You can setup a new virtual network within which you can place your HDInsight cluster. For HDInsight to have a line of sight to the Active Directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). +This is the simplest architecture for integrating HDInsight with Active Directory. The Active Directory domain controller runs on one (or multiple) virtual machines (VM) in Azure. Usually these VMs are within a virtual network. You can setup another virtual network for HDInsight cluster. For HDInsight to have a line of sight to the Active Directory, you need to peer these virtual networks using [VNET to VNET peering](../virtual-network/virtual-networks-create-vnetpeering-arm-portal.md). -![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image1.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_1.png) -Prerequisites that need to be setup on Active Directory +Prerequisites that need to be setup on Active Directory: -* An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. -* LDAPS must be setup for communicating with the Active Directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). -* Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). +* An [Organizational Unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup for communicating with the Active Directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* Reverse DNS zones must be created on the domain for the IP address range of the HDInsight Subnet (for example 10.2.0.0/24 in the previous picture). * A service account, or a user account is needed, which issued to create the HDInsight cluster. This account must have the following permissions: - Permissions to create service principal objects and machine objects within the organizational unit. @@ -49,22 +49,22 @@ Prerequisites that need to be setup on Active Directory **2. HDInsight integrated with a cloud-only Azure AD** -For a cloud-only Azure Active Directory, you need to configure a domain controller so that HDInsight can be integrated with your Azure Active Directory (AAD). This is achieved using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +For a cloud-only Azure Active Directory (Azure AD), you need to configure a domain controller so that HDInsight can be integrated with your Azure Active Directory. This is achieved by using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (Azure AD DS). The Azure AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. +Currently, Azure AD DS only exists in classic VNETs. It is only accessible using the classic Azure portal. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. > [!NOTE] -> Peering between Classic and Azure Resource Manager VNETs requires both vnets are in the same region, and both vnets are under the same Azure subscription. +> Peering between a classic VNet and an Azure Resource Manager VNet requires both VNets are in the same region, and both VNets are under the same Azure subscription. -![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_2.png) -Prerequisites that need to be setup on Active Directory +Prerequisites that need to be setup on Active Directory: -* An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* An [Organizational Unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. * [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). -* [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. -* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions +* [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from Azure AD to AD DS. +* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions: - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules @@ -72,16 +72,16 @@ Prerequisites that need to be setup on Active Directory **3. HDInsight integrated with an on-premises AD via VPN** -This architecture is like the architecture #1. The only difference is that in this case, your Active Directory is on-premises and the line of sight for HDInsight to Active Directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). +This architecture is similar the architecture #1. The only difference is that the Active Directory is on-premises and the line of sight for HDInsight to Active Directory is via a [VPN connection from Azure to on-premises network](../expressroute/expressroute-introduction.md). -![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image3.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_3.png) -Prerequisites that need to be setup on the on-premises Active Directory +Prerequisites that need to be setup on the on-premises Active Directory: -* An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. -* LDAPS must be setup for communicating with the Active Directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* An [Organizational Unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup for communicating with the Active Directory. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). -* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions +* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions: - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules @@ -89,22 +89,22 @@ Prerequisites that need to be setup on the on-premises Active Directory **4. HDInsight integrated with an on-premises AD synced to an Azure AD** -This architecture is like the architecture #2. The only difference is that in this case, the on-premises Active Directory is synced to the Azure Active Directory (AAD). You need to configure a domain controller on the cloud so that HDInsight can be integrated with your Azure Active Directory (AAD). This is achieved using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. +This architecture is simliar to the architecture #2. The only difference is that the on-premises Active Directory is synced to the Azure Active Directory. You need to configure a domain controller in the cloud so that HDInsight can be integrated with your Azure Active Directory. This is achieved using [Azure Active Directory domain services](../active-directory-domain-services/active-directory-ds-overview.md) (AD DS). The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. -The AD DS only exists in Classic VNETs today, and hence you need access to Classic portal, and need to create a classic VNET for configuring AD DS. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. +Currently, Azure AD DS only exists in classic VNETs. It is only accessible using the classic Azure portal. The HDInsight VNET exists in the Azure portal, which needs to be peered with the classic VNET using VNET to VNET peering. -> [!NOTE] -> Peering between Classic and Azure Resource Manager VNETs requires both vnets are in the same region, and both vnets are under the same Azure subscription. +> [!NOTE] +> Peering between a classic VNet and an Azure Resource Manager VNet requires both VNets are in the same region, and both VNets are under the same Azure subscription. -![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_2.png) -Prerequisites that need to be setup on Active Directory +Prerequisites that need to be setup on Active Directory: * An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. -* LDAPS must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). +* [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. The certificate used to setup LDAPS must be a real certificate (not a self-signed certificate). * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). -* [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from AAD to AD DS. -* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions +* [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from Azure AD to AD DS. +* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions: - Permissions to create service principal objects and machine objects within the organizational unit. - Permissions to create reverse DNS proxy rules @@ -112,7 +112,7 @@ Prerequisites that need to be setup on Active Directory **5. HDInsight integrated with a non-default Azure AD (recommended only for testing and development)** -This architecture is like architecture #2. In most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a POC, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the Active Directory, it may be beneficial to just create a new Azure Active Directory in the subscription. Since this is an AAD that you created, you have full permissions to this AAD to configure the AD DS. +This architecture is similar to architecture #2. For most companies, the admin access to Active Directory is restricted to only certain individuals. Thus, when you want to do a proof-of-concept, or just try out creating a domain-joined cluster, instead of waiting for admin to configure pre-requisites on the Active Directory, it may be beneficial to just create a new Azure Active Directory in the subscription. Since this is an Azure AD that you created, you have full permissions to this Azure AD to configure the AD DS. The AD DS creates domain controller machines on the cloud, and provides you with IP addresses for them. It creates two domain controllers for high availability. @@ -121,15 +121,15 @@ The AD DS only exists in Classic VNETs today, and hence you need access to Class > [!NOTE] > Peering between Classic and Azure Resource Manager VNETs requires both vnets are in the same region, and both vnets are under the same Azure subscription. -![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/image2.png) +![Domain-join HDInsight cluster topology](./media/hdinsight-domain-joined-architecture/hdinsight-domain-joined-architecture_2.png) -Prerequisites that need to be setup on Active Directory +Prerequisites that need to be setup on Active Directory: -* An Organizational unit must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. -* LDAPS must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you need to request an exception from hdipreview@microsoft.com. +* An [Organizational unit](../active-directory-domain-services/active-directory-ds-admin-guide-create-ou.md) must be created, within which you want to place the HDInsight cluster VMs and the service principals used by the cluster. +* [LDAPS](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) must be setup when you configure AD DS. You can create a [self-signed certificate](../active-directory-domain-services/active-directory-ds-admin-guide-configure-secure-ldap.md) to configure LDAPS. However, to use a self-signed certificate, you need to request an exception from hdipreview@microsoft.com. * Reverse DNS zones must be created on the domain for the IP address range of the HDI Subnet (for example 10.2.0.0/24 in the above picture). -* Password hashes must be synced from AAD to AD DS. -* A service account, or a user account is needed, which is used to create the HDInsight cluster. This account must have the following permissions +* [Password hashes](../active-directory-domain-services/active-directory-ds-getting-started-password-sync.md) must be synced from Azure AD to AD DS. +* A service account, or a user account is needed, which is used to create the HDInsight cluster. 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