AWS Lambda Powertools for Python

A suite of Python utilities for AWS Lambda functions to ease adopting best practices such as tracing, structured logging, custom metrics, and more. (AWS Lambda Powertools Java and Typescript is also available).

📜Documentation | 🐍PyPi | Roadmap | Detailed blog post

An AWS Developer Acceleration (DevAx) initiative by Specialist Solution Architects | aws-devax-open-source@amazon.com

Features

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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)

Event handler: AppSync - AWS AppSync event handler for Lambda Direct Resolver and Amplify GraphQL Transformer function

Event handler: API Gateway and ALB - Amazon API Gateway REST/HTTP API and ALB event handler for Lambda functions invoked using Proxy integration

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

Batch processing - Handle partial failures for AWS SQS batch processing

Typing - Static typing classes to speedup development in your IDE

Validation - JSON Schema validator for inbound events and responses

Event source data classes - Data classes describing the schema of common Lambda event triggers

Parser - Data parsing and deep validation using Pydantic

Idempotency - Convert your Lambda functions into idempotent operations which are safe to retry

Feature Flags - A simple rule engine to evaluate when one or multiple features should be enabled depending on the input

Installation

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

Tutorial and Examples

Credits

Structured logging initial implementation from aws-lambda-logging
Powertools idea DAZN Powertools

Connect

Email: aws-lambda-powertools-feedback@amazon.com

Security disclosures

If you think you’ve found a potential security issue, please do not post it in the Issues. Instead, please follow the instructions here or email AWS security directly.

License

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

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