The AWS Lambda PowerTools for Python is an open source framework library that assists in building well-architected serverless applications. It implements a number of observability best practices across the three core observability pillars: logging, metrics, and tracing. In this post, we’ll take a sample serverless application and implement a number of observability best practices using the AWS Lambda PowerTools.
CloudWatch Lambda Insights is a monitoring and troubleshooting solution for serverless applications running on AWS Lambda. It collects, aggregates, and summarises system-level metrics including CPU time, memory, disk, and network. It also collects, aggregates, and summarises diagnostic information such as cold starts and Lambda worker shutdowns to help you troubleshoot health and performance issues with your Lambda functions.
We start working through the questions of a Well Architected Review with the “Operational Excellence” pillar and how to identify what your priorities are.
This post covers some of the take-aways form the Partner Keynote at re:Invent 2020 that benefit both partners and direct customers alike.