A serverless architecture project that models event ingestion, queue-based decoupling, function processing, audit output, storage output and dead-letter handling.
This project demonstrates how to design an asynchronous workload path that accepts work quickly, buffers safely, retries predictably, records audit evidence and isolates failures for later inspection.
Synchronous systems become fragile when workloads spike or downstream services slow down. A queue-first event model protects the user-facing path and gives operators better control over retry, failure inspection and evidence.
| Area | Implementation |
|---|---|
| Event ingestion | Source-to-queue workload pattern |
| Decoupling | Queue boundary for burst handling and retry |
| Processing | Function handler implementation in src/handler.js |
| Reliability | Dead-letter path and failure-handling runbook |
| Evidence | Validation summary, local validation log and audit-output thinking |
| Cost control | Lightweight serverless model with no always-on compute |
| Path | Purpose |
|---|---|
terraform/ |
Event-flow outputs and infrastructure model |
src/ |
Serverless handler code |
scripts/validate.ps1 |
Validation checks |
docs/evidence/ |
Validation summary and proof notes |
docs/runbooks/ |
Failure-handling procedure |
assets/ |
Architecture visual used in the README |
powershell -ExecutionPolicy Bypass -File scripts/validate.ps1- Add alarms for queue age, dead-letter depth and function error rate.
- Add idempotency keys for safe reprocessing.
- Add structured audit events with correlation IDs.
- Add deployment stages for dev, test and production.
- Add replay controls for failed events.
The project is about reliability shape, not just a function. The important decisions are queue-first ingestion, failure isolation, auditability, retry behavior and cost control. Those are the pieces that make event-driven systems operable.
Validated as a cost-controlled serverless design with reusable handler, infrastructure model, runbook and evidence artifacts.