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.
Learn how AWS Amplify is being used to modernise traditional web and mobile application development.
In Part 1 of the series, we used the Serverless Framework to describe a full stack serverless application consisting of a JS single-page-app, NodeJS serverless function and NoSQL backend datastore. In this post, we’ll walk through the creation of a continuous integration and delivery pipeline using AWS Developer tooling
Attain automated remedial security within your AWS Pipeline by using Lambda to help with blast radius reduction and compliance obtainment.