In real-world applications, functions can be computationally expensive or time-consuming. To improve efficiency, we can cache and reuse results for identical inputs, a pattern known as idempotency. AWS Lambda Powertools provides an idempotency utility that returns the previously successful result when a function is called repeatedly with the same input. In this post, we will explore how to use it.

AWS X-Ray helps developers analyze and debug distributed applications by providing a holistic view of requests as they travel through the system.¹ Tracer is a wrapper around the AWS X-Ray SDK for Python that offers a simplified interface for instrumenting Lambda functions.² In this post, I will show you how to use Tracer to gain insights into your function’s execution.

Metrics are a key component of monitoring and observability, allowing you to understand the behavior of your Lambda functions and identify potential issues. In this post, we will explore how to use AWS Lambda Powertools to simplify metric collection.

Powertools for AWS Lambda is a library designed to implement best practices and boost productivity when building AWS Lambda functions. In this post, we will explore its core features, focusing on logging and validation.