Aws Serverless Fullstack Architecture
Use When
- Building on AWS with Lambda and managed services
- Need low-ops scaling for API and UI delivery
Workflow
- Map user journeys to serverless boundaries and data ownership
- Define API Gateway routes, auth, and schema validation
- Implement Lambda handlers with idempotency and DLQ paths
- Configure CloudFront and S3 for frontend delivery
- Wire EventBridge or SQS for async workflows
- Add X-Ray, CloudWatch metrics, and alarm thresholds
Required Checks
- IAM policies are least-privilege per function and route
- Cold start and timeout budgets are defined per endpoint
- Secrets use Parameter Store or Secrets Manager
- Multi-AZ and backup strategy documented for stateful services
Decision Framework
- Prefer managed services over self-managed compute when SLO allows
- Keep synchronous chains short to control latency
- Use async boundaries for non-critical side effects
- Define environment-specific config and drift controls
Common Rationalizations And Rebuttals
- "Serverless means no ops." -> You still own reliability, security, and cost guardrails.
- "One fat Lambda is faster to build." -> It becomes a distributed monolith; split by bounded context.
- "We can skip DLQ handling." -> Failed async work will be lost or duplicated unpredictably.
Evidence Pack
- Architecture diagram with ownership boundaries
- IAM and network policy review evidence
- Load and cold-start test results for critical APIs
- Rollback and alarm runbook for top failure modes
Exit Criteria
- AWS serverless stack is production-ready with tested failover paths
- Cost and latency guardrails are monitored
