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API / Microservices Design Patterns Interview Questions

What is the Retry pattern with exponential backoff and jitter, and when should you NOT retry?

The Retry pattern automatically re-attempts a failed operation a limited number of times before declaring it a final failure. On its own, retrying immediately (fixed delay or no delay) can overwhelm a struggling downstream service. Exponential backoff solves this by increasing the delay between retries exponentially:

delay(attempt) = base * 2^attempt
// attempt 1: 1s, attempt 2: 2s, attempt 3: 4s, attempt 4: 8s ...

Adding jitter (random noise) to the backoff prevents the thundering herd problem — when many clients retry simultaneously after a shared outage, they all backoff to the same windows and hammer the recovering service in synchronized bursts. With jitter, each client's retry time is randomised within the backoff window:

// Full jitter (recommended by AWS)
delay(attempt) = random(0, base * 2^attempt)

// Decorrelated jitter
delay(n) = min(cap, random(base, delay(n-1) * 3))

When NOT to retry:

  • Non-idempotent operations — a POST /charges that creates a charge must not be retried without idempotency keys; retrying will create duplicate charges.
  • 4xx client errors — HTTP 400 (Bad Request), 401 (Unauthorised), 403 (Forbidden), 404 (Not Found). These indicate problems with the request itself; retrying will produce the same failure.
  • 429 Too Many Requests — only retry after respecting the Retry-After header; retrying aggressively makes the rate-limit situation worse.
  • Circuit is Open — if the circuit breaker has already tripped, adding retries amplifies the load on an already-failing service.
  • Deadlines exceeded — if the caller's overall timeout budget is already exhausted, retrying only prolongs the client's wait without any chance of success within budget.
What problem does adding random jitter to exponential backoff specifically solve?
Which HTTP response code should generally NOT trigger an automatic retry?

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