IntermediatePROBLEM_SOLVING
Imagine you need to integrate your backend service with a third-party API that is rate-limited and occasionally unreliable. How would you design your integration to handle timeouts, retries, backoff, and partial failures without degrading user experience?
Backend Developer
General

Sample Answer

In my last role, we integrated with a shipping API that allowed only 100 requests/minute and had ~2–3% intermittent failures. I treated the integration as an internal client library rather than sprinkling HTTP calls everywhere. That client enforced short, sane timeouts, a circuit breaker, and exponential backoff with jitter using a library like Resilience4j. We cached stable data (e.g., carrier lists) for 15 minutes and introduced a small per-user in-memory cache for repeated quotes within 30 seconds, which cut direct API calls by about 40%. For user-facing flows, we made calls asynchronously: the request returned quickly with a “quote pending” state, and the frontend subscribed via WebSocket/polling. If the API was down or we hit rate limits, we fell back to the last known good quote or a conservative estimate and logged the event. This approach reduced visible errors to under 0.2% while respecting the rate limits.

Keywords

Wrap third-party API in a dedicated client with timeouts, retries, and circuit breakerUse exponential backoff with jitter and intelligent caching to reduce callsAsynchronous UX patterns and graceful fallbacks for partial failuresMonitoring, rate-limit awareness, and feature flags for degradation modes
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