Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverless best practices and increase developer velocity.
Also available in Java, TypeScript, and .NET.
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Core utilities such as Tracing, Logging, Metrics, and Event Handler are available across all Powertools for AWS Lambda languages. Additional utilities are subjective to each language ecosystem and customer demand.
- Tracing - Decorators and utilities to trace Lambda function handlers, and both synchronous and asynchronous functions
- Logging - Structured logging made easier, and target to enrich structured logging with key Lambda context details
- Metrics - Custom Metrics created asynchronously via CloudWatch Embedded Metric Format (EMF)
- Event handler: AppSync - AppSync event handler for Lambda Direct Resolver and Amplify GraphQL Transformer function
- Event handler: AppSync Events - AppSync Events handler for real-time WebSocket APIs with pub/sub pattern
- Event handler: API Gateway, ALB, Lambda Function URL, VPC Lattice - REST/HTTP API event handler for Lambda functions invoked via Amazon API Gateway, ALB, Lambda Function URL, and VPC Lattice
- Event handler: Agents for Amazon Bedrock - Create Agents for Amazon Bedrock, automatically generating OpenAPI schemas
- Middleware factory - Decorator factory to create your own middleware to run logic before, and after each Lambda invocation
- Parameters - Retrieve and cache parameter values from Parameter Store, Secrets Manager, AppConfig, or DynamoDB
- Batch processing - Handle partial failures for AWS SQS, Kinesis Data Streams, and DynamoDB Streams 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