Comparison of top observability and debugging tools to help you monitor Python in AWS Lambda.

I’ve had a great conversation with a buddy of mine who is launching a new service, and while he is not a technical person, he came up to me asking about serverless and if it could have an actual impact on his startup. Naturally, I got very excited about the topic and proceeded to list all the benefits of serverless technology and how decentralized technology has revolutionized the industry, so on so forth. After a 15-minute monologue, the guy stops me and politely asks me the question again.

Monitoring AWS Lambda performance plays a crucial part in your everyday AWS Lambda usage. Monitoring helps you identify any performance issues, and it can also send you alerts and notify you of anything you might need to know. The world is slowly getting to a point where machines and computers will be flawless, but until then, if we let them perform various tasks for us, we could at least monitor their performance.

In this article, we’ll discuss the potential pitfalls that we came across when configuring ECS task definitions. While considering this AWS-specific container management platform, we’ll also examine some general best practices for working with containers in production.