AWS Lambda Functions
Table of Contents
Overview
AWS Lambda enables you to run code without provisioning or managing servers. Build serverless applications using event-driven triggers, pay only for compute time consumed, and scale automatically with workload.
When to Use
- API endpoints and webhooks
- Scheduled batch jobs and data processing
- Real-time file processing (S3 uploads)
- Event-driven workflows (SNS, SQS)
- Microservices and backend APIs
- Data transformations and ETL jobs
- IoT and sensor data processing
- WebSocket connections
Quick Start
Minimal working example:
Reference Guides
Detailed implementations in the references/ directory:
Best Practices
✅ DO
- Use environment variables for configuration
- Implement proper error handling and logging
- Optimize package size and dependencies
- Set appropriate timeout and memory
- Use Lambda Layers for shared code
- Implement concurrency limits
- Enable X-Ray tracing for debugging
- Use reserved concurrency for critical functions
❌ DON'T
- Store sensitive data in code
- Create long-running operations (>15 min)
- Ignore cold start optimization
- Forget to handle concurrent executions
- Ignore CloudWatch metrics
- Use too much memory unnecessarily


