aws-lambda-powertools 1.13.0

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

AWS Lambda Powertools (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 is also available).

📜Documentation | API Docs | 🐍PyPi | Feature request | 🐛Bug Report | Hello world 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
• 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

Installation

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

Examples

• Serverless Shopping cart
• Serverless Airline
• Serverless E-commerce platform

Credits

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

License

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