aws-lambda-powertools 2.5.0

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

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.

Also available in Java, Typescript, and .NET.

📜Documentation | 🐍PyPi | Roadmap | Detailed blog post

An AWS Developer Acceleration (DevAx) initiative by Specialist Solution Architects | [e-mail]

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)
• 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
• Streaming - Streams datasets larger than the available memory as streaming data.

Installation

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

Tutorial and Examples

• Tutorial
• Serverless Shopping cart
• Serverless Airline
• Serverless E-commerce platform
• Serverless GraphQL Nanny Booking Api

Credits

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

Connect

• AWS Lambda Powertools on Discord: #python - Invite link
• Email: [e-mail]

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.