Cloud Deployment: AWS, GCP & Serverless Patterns
What you will learn
- Understand the key cloud services developers interact with (compute, storage, functions)
- Deploy a containerized application to a cloud provider
- Use serverless functions (Lambda, Cloud Functions) for event-driven workloads
- Use AI to make cloud architecture decisions and write infrastructure configs
# Cloud Deployment: AWS, GCP & Serverless Patterns
The Cloud Building Blocks
Every cloud provider offers the same core services with different names:
| Concept | AWS | GCP | Vercel/Cloudflare | |---------|-----|-----|-------------------| | Serverless Functions | Lambda | Cloud Functions | Vercel Functions / Workers | | Container Hosting | ECS / Fargate | Cloud Run | — | | Static Storage | S3 | Cloud Storage | Vercel Edge Network | | Database | RDS / Aurora | Cloud SQL | Neon / Supabase | | CDN | CloudFront | Cloud CDN | Built-in |
Serverless Functions: When and How
Serverless is perfect for: API endpoints, webhooks, scheduled jobs, image processing, and any workload that is bursty (idle most of the time, then needs to handle a spike).
AWS Lambda example (via SST or Serverless Framework):
`typescript
// handler.ts — AWS Lambda function
import { APIGatewayProxyHandler } from 'aws-lambda';
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What you'll learn:
- Understand the key cloud services developers interact with (compute, storage, functions)
- Deploy a containerized application to a cloud provider
- Use serverless functions (Lambda, Cloud Functions) for event-driven workloads