serverless-architecture
Design and implement serverless applications using AWS Lambda, Azure Functions, and GCP Cloud Functions with event-driven patterns and orchestration.
What this skill does
# Serverless Architecture
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Serverless architecture enables building complete applications without managing servers. Design event-driven, scalable systems using managed compute services, databases, and messaging systems. Pay only for actual usage with automatic scaling.
## When to Use
- Event-driven applications
- API backends and microservices
- Real-time data processing
- Batch jobs and scheduled tasks
- Workflow automation
- IoT data pipelines
- Multi-tenant SaaS applications
- Mobile app backends
## Quick Start
Minimal working example:
```yaml
# serverless.yml - Serverless Framework
service: my-app
frameworkVersion: "3"
provider:
name: aws
runtime: nodejs18.x
region: us-east-1
stage: ${opt:stage, 'dev'}
memorySize: 256
timeout: 30
environment:
STAGE: ${self:provider.stage}
DYNAMODB_TABLE: ${self:service}-users-${self:provider.stage}
SNS_TOPIC_ARN: arn:aws:sns:${self:provider.region}:${aws:accountId}:my-topic
httpApi:
cors: true
iam:
role:
statements:
- Effect: Allow
Action:
- dynamodb:Query
- dynamodb:Scan
// ... (see reference guides for full implementation)
```
## Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents |
|---|---|
| [Serverless Application Architecture](references/serverless-application-architecture.md) | Serverless Application Architecture |
| [Event-Driven Lambda Handler Pattern](references/event-driven-lambda-handler-pattern.md) | Event-Driven Lambda Handler Pattern |
| [Orchestration with Step Functions](references/orchestration-with-step-functions.md) | Orchestration with Step Functions |
| [Monitoring and Observability](references/monitoring-and-observability.md) | Monitoring and Observability |
## Best Practices
### ✅ DO
- Design idempotent functions
- Use event sources efficiently
- Implement proper error handling
- Monitor with CloudWatch/Application Insights
- Use infrastructure as code
- Implement distributed tracing
- Version functions for safe deployments
- Use environment variables for configuration
### ❌ DON'T
- Create long-running functions
- Store state in functions
- Ignore cold start optimization
- Use synchronous chains
- Skip testing
- Hardcode configuration
- Deploy without monitoring
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