Serverless Python with AWS Lambda
AWS Lambda enables you to run Python code without provisioning servers, paying only for execution time. This series covers the full spectrum of serverless Python development: from writing your first Lambda function and managing dependencies with layers, to building event-driven architectures with API Gateway and S3 triggers, optimizing cold starts, and observing production workloads in CloudWatch and X-Ray.
By the end of this series, you will have the practical knowledge to architect scalable, cost-efficient serverless applications in Python — from simple HTTP APIs to complex multi-service workflows. Each article builds on the previous one, introducing progressively advanced patterns and production considerations.
Articles in this series
- Python AWS Lambda: Getting Started Guide
- What is Lambda Handler: Python Function Basics
- AWS Lambda Layers: Organize Code and Dependencies
- API Gateway & Lambda: Build Serverless APIs
- Lambda Event Sources: S3, DynamoDB, SQS Triggers
- Cold Starts in Lambda: Optimize Python Performance
- AWS SAM for Python Lambda: Infrastructure as Code
- Async Python in Lambda: Concurrent Invocations
- Monitor & Debug Lambda: CloudWatch & X-Ray
- Production Patterns: Best Practices for Serverless Python