aws-cloud-architecture_skill

Overview

This skill is a comprehensive guide to designing, implementing, and operating production-grade AWS cloud architectures aligned with the AWS Well-Architected Framework. It covers compute, storage, databases, networking, security, serverless, monitoring, high availability, and cost optimization. The content includes production-ready patterns, CloudFormation snippets, and runnable examples for EC2, Lambda, ECS/Fargate, and more. It’s designed for engineers building resilient, secure, and cost-effective systems on AWS.

How this skill works

The skill inspects architecture patterns and provides concrete implementation recipes, automation examples, and operational controls. It summarizes best practices across the six Well-Architected pillars and supplies CloudFormation and code examples to bootstrap compute, serverless, container, and storage layers. It also highlights monitoring, scaling, and recovery mechanisms with policies and alerting examples. The material is actionable and intended to be adapted into your IaC and CI/CD pipelines.

When to use it

• Designing new cloud-native applications on AWS
• Migrating on-prem workloads to AWS with reliability and security requirements
• Implementing serverless APIs, batch jobs, or event-driven processing
• Deploying containerized applications with ECS/Fargate and autoscaling
• Establishing monitoring, cost controls, and disaster recovery plans

Best practices

• Follow the Well-Architected pillars: security, reliability, performance, cost, operational excellence, sustainability
• Automate provisioning with Infrastructure as Code and templatize environment configuration
• Use managed services where feasible to reduce operational burden and improve security
• Design for horizontal scaling and graceful failure with health checks and autoscaling policies
• Instrument applications and infrastructure with CloudWatch, X-Ray, and structured logs for observability

Example use cases

• Public web application using ELB + Auto Scaling EC2 with private application subnets
• API backend using Lambda + API Gateway with DynamoDB for serverless, pay-per-use cost model
• Containerized microservices on ECS/Fargate with Task Definitions, ALB, and service discovery
• Image processing pipeline triggered by S3 events with Lambda creating thumbnails and storing metadata
• Multi-AZ RDS or DynamoDB with backup and automated recovery for critical data workloads