### Summary AWS increased the quotas for CloudWatch today; specifically, the maximum number of dimensions a metric can have was increased from 10 to 30 (https://aws.amazon.com/about-aws/whats-new/2022/08/amazon-cloudwatch-metrics-increases-throughput) The validation should take this into account and raise the limit accordingly. ### Why is this needed? Previously, the limit was 10 dimensions per metric, and this was raised to 30 today. We should reflect it and allow the user to take advantage of this ### Which area does this relate to? _No response_ ### Solution Change https://github.com/awslabs/aws-lambda-powertools-python/blob/bb1eda742583d58790219942a49a5d2489ea91ea/aws_lambda_powertools/metrics/base.py#L17 to `MAX_DIMENSIONS = 29` ### Acknowledgment - [X] This request meets [Lambda Powertools Tenets](https://awslabs.github.io/aws-lambda-powertools-python/latest/#tenets) - [X] Should this be considered in other Lambda Powertools languages? i.e. [Java](https://github.com/awslabs/aws-lambda-powertools-java/), [TypeScript](https://github.com/awslabs/aws-lambda-powertools-typescript/)