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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.