aws-lambda-powertools 1.6.1

Python utilities for AWS Lambda functions including but not limited to tracing, logging and custom metric

AWS Lambda Powertools

A suite of utilities for AWS Lambda functions to ease adopting best practices such as tracing, structured logging, custom metrics, and more.

📜Documentation | API Docs | 🐍PyPi | Feature request | 🐛Bug Report | Kitchen sink example | Detailed blog post

Join us on the AWS Developers Slack at #lambda-powertools - Invite, if you don't have an account

Features

• Tracing - Decorators and utilities to trace Lambda function handlers, and both synchronous and asynchronous functions
• Logging - Structured logging made easier, and decorator to enrich structured logging with key Lambda context details
• Metrics - Custom Metrics created asynchronously via CloudWatch Embedded Metric Format (EMF)
• Bring your own middleware - Decorator factory to create your own middleware to run logic before, and after each Lambda invocation
• Parameters utility - Retrieve and cache parameter values from Parameter Store, Secrets Manager, or DynamoDB

Installation

With pip installed, run: pip install aws-lambda-powertools

Example

See example of all features, testing, and a SAM template with all Powertools env vars. All features also provide full docs, and code completion for VSCode and PyCharm.

Credits

• Structured logging initial implementation from aws-lambda-logging
• Powertools idea DAZN Powertools
• Gatsby Apollo Theme for Docs

License

This library is licensed under the MIT-0 License. See the LICENSE file.