From 174d10c94308dd9de73ef6b06f1b6fa848801861 Mon Sep 17 00:00:00 2001 From: Nitish Tiwari Date: Thu, 27 Oct 2022 14:19:41 +0530 Subject: [PATCH 1/3] Add links to specific docs and remove the syslog-ng docs. Syslog-ng docs are now available at https://www.parseable.io/docs/log-agents/syslog-ng --- README.md | 3 +- docs/syslog_ng_log_forwarding.md | 168 ------------------------------- 2 files changed, 2 insertions(+), 169 deletions(-) delete mode 100644 docs/syslog_ng_log_forwarding.md diff --git a/README.md b/README.md index ac488357b..1b3f7fc06 100644 --- a/README.md +++ b/README.md @@ -56,7 +56,6 @@ Instead of installing locally, you can also try out Parseable on our [Demo insta ## Usage If you've already deployed Parseable using the above Docker command, use below commands to create stream and post event(s) to the stream. Make sure to replace `` with the name of the stream you want to create and post events (e.g. `my-stream`). - #### Create a stream ```sh @@ -86,6 +85,8 @@ curl --location --request POST 'http://localhost:8000/api/v1/logstream/ Date: Thu, 27 Oct 2022 14:30:54 +0530 Subject: [PATCH 2/3] temp --- README.md | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 1b3f7fc06..f167271f9 100644 --- a/README.md +++ b/README.md @@ -18,13 +18,11 @@ As SREs, DevOps deploy and manage more and more cloud native applications, there is a glaring gap in the ecosystem for a developer friendly, cloud native, event & log observability platform. We faced this issue first hand at our jobs, and we've seen several other large scale Kubernetes users relating to this gap. -Parseable started because of this _missing_ case. We intend to enrich the ecosystem with a developer friendly, cloud native, event & log observability platform. +Our aim with Parseable is to provide a fully open source, developer friendly, kubernetes and cloud native, scalable logging and observability platform. ## How it works Parseable exposes REST API to ingest and query log data. Under the hood, it uses Apache Arrow and Parquet to handle and compress high volume log data. All data is stored in S3 (or compatible systems). Parseable also has a bundled web console to visualize and query log data. -Parseable can be deployed in cloud and container based environments in minutes and can scale as the requirements grow. - #### Key differentiators - Written in Rust. Low CPU & memory footprint, with low latency, high throughput. @@ -34,7 +32,7 @@ Parseable can be deployed in cloud and container based environments in minutes a ## Installing -Docker is the quickest way to experience Parseable on your machine. Run the below command to deploy Parseable in demo mode. +Run the below command to deploy Parseable in demo mode with Docker. ```sh mkdir -p /tmp/data @@ -47,7 +45,7 @@ docker run \ Once this runs successfully, you'll see dashboard at [http://localhost:8000](http://localhost:8000). You can login to the dashboard with `parseable`, `parseable` as the credentials. Please make sure not to post any important data while in demo mode. -For non-demo and other installation options (Kubernetes, bare-metal), please refer to the [documentation](https://www.parseable.io/docs/category/installation). +Prefer other platforms? Check out installation options (Kubernetes, bare-metal), in the [documentation](https://www.parseable.io/docs/category/installation). #### Live demo @@ -84,9 +82,9 @@ curl --location --request POST 'http://localhost:8000/api/v1/logstream/ Date: Thu, 27 Oct 2022 14:35:00 +0530 Subject: [PATCH 3/3] temp --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index f167271f9..a44da611f 100644 --- a/README.md +++ b/README.md @@ -16,9 +16,9 @@ ## Why Parseable? -As SREs, DevOps deploy and manage more and more cloud native applications, there is a glaring gap in the ecosystem for a developer friendly, cloud native, event & log observability platform. We faced this issue first hand at our jobs, and we've seen several other large scale Kubernetes users relating to this gap. +As SREs, DevOps deploy and manage more and more cloud native applications, there is a glaring gap in the ecosystem for a developer friendly, cloud native, event & log observability platform. We saw this issue manifest multiple times in several shapes and forms, across organizations. -Our aim with Parseable is to provide a fully open source, developer friendly, kubernetes and cloud native, scalable logging and observability platform. +Our aim with Parseable is to provide a fully open source, developer friendly, kubernetes and cloud native, scalable, logging and observability platform. ## How it works Parseable exposes REST API to ingest and query log data. Under the hood, it uses Apache Arrow and Parquet to handle and compress high volume log data. All data is stored in S3 (or compatible systems). Parseable also has a bundled web console to visualize and query log data.