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Designing Resilient APIs

Patterns and practical tips for building fault-tolerant web APIs.

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Why Resilience Matters

Modern distributed systems fail in partial, creative ways. Network partitions, slow dependencies, and unexpected payload spikes all conspire to erode reliability.

Core Mitigations

  • Circuit breakers isolate persistent downstream failures.
  • Bulkheads prevent one noisy tenant from starving others.
  • Timeouts & deadlines cap resource lock.
  • Exponential backoff with jitter reduces thundering herds.

Example Pseudo Flow

call = withTimeout(200ms) {
  breaker.protect { client.get("/inventory") }
}
if call.failed && call.retryable {
  scheduleRetry(backoff.next())
}

Observability Hooks

Instrument at fan-out points: latency histograms, error ratios, saturation signals.

Checklist

  1. Define SLOs first.
  2. Add structured error taxonomy.
  3. Simulate dependency slowness weekly.
  4. Track retry amplification factor.

Ship small, measure, refine.