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
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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
With pip installed, run: pip install aws-lambda-powertools
- Structured logging initial implementation from aws-lambda-logging
- Powertools idea DAZN Powertools
This library is licensed under the MIT-0 License. See the LICENSE file.