System Integration: Scenario-Based Questions
76. How do you design a system to handle webhooks reliably and securely?
Webhooks allow external systems to notify your service in real-time. But they must be processed reliably and securely — without losing data or exposing vulnerabilities.
📥 Ingestion Strategies
- Accept POST requests on a dedicated endpoint.
- Immediately acknowledge receipt (HTTP 2xx) to avoid retries.
- Push payload to a durable queue for async processing (e.g., SQS, Kafka).
🔐 Security Controls
- Validate HMAC signatures or shared secrets.
- Restrict to known IP ranges or use mTLS (if supported).
- Limit payload size and parse defensively.
- Rate-limit by sender or token.
🔁 Reliability Features
- Retry failed processing with exponential backoff.
- DLQ (dead letter queue) for persistent failures.
- Idempotency checks using event ID or hash fingerprint.
- Monitor ingestion latency, failure rates, and event skew.
🧰 Tooling
- Webhooks testing tools: RequestBin, ngrok tunnels, Webhook.site
- Frameworks: Stripe webhook handler, FastAPI background tasks, Celery, AWS Lambda + API Gateway
✅ Best Practices
- Separate ingestion from processing to reduce coupling and increase durability.
- Store raw payloads with timestamp for audit/debug.
- Use signed events and validate timestamp freshness.
- Design for at-least-once delivery — ensure downstream idempotency.
🚫 Common Pitfalls
- Blocking webhook response until full processing is complete.
- Failing to verify signature → accepting spoofed events.
- No retry or visibility into dropped events.
📌 Final Insight
Webhooks are powerful but fragile without protection. Design your pipeline with durability, validation, and traceability — and you’ll gain real-time integration superpowers.