Python utilities for AWS Lambda functions including but not limited to tracing, logging and custom metric
Project description
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
Installation
With pip installed, run: pip install aws-lambda-powertools
Examples
Credits
- Structured logging initial implementation from aws-lambda-logging
- Powertools idea DAZN Powertools
- Gatsby Apollo Theme for Docs
License
This library is licensed under the MIT-0 License. See the LICENSE file.
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