aws-lambda-functions
Create and deploy serverless functions using AWS Lambda with event sources, permissions, layers, and environment configuration. Use for event-driven computing without managing servers.
By aj-geddes · 601 installs
npx skills add aj-geddes/useful-ai-prompts --skill aws-lambda-functions
Source repository · Upstream listing
AWS Lambda Functions
Table of Contents
[Overview]( overview)
[When to Use]( when to use)
[Quick Start]( quick start)
[Reference Guides]( reference guides)
[Best Practices]( best practices)
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:
Guide Contents
[Basic Lambda Function with AWS CLI](references/basic lambda function with aws cli.md) Basic Lambda Function with AWS CLI
[Lambda Function with Node.js](references/lambda function with nodejs.md) Lambda Function with Node.js
[Terraform Lambda Deployment](references/terraform lambda deployment.md) Terraform Lambda Deployment
[Lambda with SAM (Serverless Application Model)](references/lambda with sam serverless application model.md) Lambda with SAM (Serverless Application Model)
[Lambda Layers for Code Sharing](references/lambda layers for code sharing.md) Lambda Layers for Code Sharing
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