Agent skill

serverless-architecture

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

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npx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/serverless-architecture

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:

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 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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