How to Save Hundreds of Hours on Lambda Debugging

How to Save Hundreds of Hours on Lambda Debugging

Learn how to Save Hundreds of Hours on Lambda Debugging - Lambda debugging can take hours to resolve. Learn these time-saving methods to quickly scan logs and errors in your Lambda functions.

Although AWS Lambda is a blessing from the infrastructure perspective, while using it, we still have to face perhaps the least-wanted part of software development: debugging. In order to fix issues, we need to know what is causing them. In AWS Lambda that can be a curse. But we have a solution that could save you dozens of hours of time.

AWS Lambda and CloudWatch Logs Anatomy

AWS Lambda is essentially a managed container service. All works in the background — we don’t need to configure or manage containers themselves, or even the infrastructure behind them. But in reality, there are countless micro-containers running on top of traditional servers.

Whenever someone requests a Lambda function, AWS will use a micro-container to run our code, get the response and send it back to the requester. During this process, our application — or any third-party libraries we’re using — can log anything from informational messages to deprecation warnings to error and exception stack traces. Where do all these logs go?

By the time they launched Lambda, AWS already had a logging service, which we know as CloudWatch. So, what they did is pipe all this text data (logs) from our applications running in Lambda into CloudWatch. Each Lambda function will have its dedicated “log group”. Think of it as a “repository” for that Lambda’s logs.

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In this blog post, we are going to discuss how to Debugging AWS Lambda Functions with AWS X-Ray. By instrumenting our Lambda function and its related services with AWS X-Ray, we improve our ability to solve issues with our functions.

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Why AWS Console Isn’t The Best for Serverless Debugging?

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Adding Code to AWS Lambda, Lambda Layers, and Lambda Extensions Using Docker

Adding Code to AWS Lambda, Lambda Layers, and Lambda Extensions Using Docker. With Docker, we have three ways to add code to Lambda that isn’t directly part of our Lambda function. Try to AWS Lambda, Lambda Layers, and Lambda Extensions Using Docker.

Debugging with Dashbird: Lambda Configuration Error

Debugging with Dashbird: Lambda Configuration Error. The “Lambda configuration error” is as generic as it gets but at the end of the day, it’s a pathing issue. There are dozens of configuration attributes you can set for your Lambda function.