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    aj-geddes

    serverless-architecture

    aj-geddes/serverless-architecture
    DevOps
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    SKILL.md

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    About

    Design and implement serverless applications using AWS Lambda, Azure Functions, and GCP Cloud Functions with event-driven patterns and orchestration.

    SKILL.md

    Serverless Architecture

    Table of Contents

    • Overview
    • When to Use
    • Quick Start
    • Reference Guides
    • 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:

    # 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 Serverless Application Architecture
    Event-Driven Lambda Handler Pattern Event-Driven Lambda Handler Pattern
    Orchestration with Step Functions Orchestration with Step Functions
    Monitoring and Observability 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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    Repository
    aj-geddes/useful-ai-prompts
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