aws-lambda-python-integration

# AWS Lambda Python Integration Patterns for creating high-performance AWS Lambda functions in Python with optimized cold starts and clean architecture. ## Overview AWS Lambda Python integration with two approaches: **AWS Chalice** (full-featured framework) and **Raw Python** (minimal overhead). Both support API Gateway/ALB integration with production-ready configurations. ## When to Use Use this skill when: - Creating new Lambda functions in Python - Migrating existing Python applications to Lambda - Optimizing cold start performance for Python Lambda - Choosing between framework-based and minimal Python approaches - Configuring API Gateway or ALB integration - Setting up deployment pipelines for Python Lambda ## Instructions ### 1. Choose Your Approach | Approach | Cold Start | Best For | Complexity | |----------|------------|----------|------------| | AWS Chalice | < 200ms | REST APIs, rapid development, built-in routing | Low | | Raw Python | < 100ms | Simple handlers, maximum control, minimal dependencies | Low | ### 2. Project Structure #### AWS Chalice Structure ``` my-chalice-app/ ├── app.py # Main application with routes ├── requirements.txt # Dependencies ├── .chalice/ │ ├── config.json # Chalice configuration │ └── deploy/ # Deployment artifacts ├── chalicelib/ # Additional modules │ ├── __init__.py │ └── services.py └── tests/ └── test_app.py ``` #### Raw Python Structure ``` my-...