API Latency Debugging: Step-by-Step
Thu Aug 14 2025
Laggy endpoints hurt UX. Diagnose precisely.
1. Measure Baseline
Collect:
- P50 / P95 / P99 latency
- Error rate
- Request rate
2. Break Down Timing
Enable server timing or instrumentation:
DB=40ms | cache=5ms | render=60ms | network=20ms
3. Check the Critical Path
Remove sequential awaits that could run in parallel (Promise.all
).
4. Database Profiling
Log slow queries > 100ms. Add EXPLAIN for outliers.
5. Cache Strategy
- Layer 1: in-memory (hot keys)
- Layer 2: Redis for shared
- Invalidate on write or TTL-based
6. N+1 Detection
Look for many small similar queries. Batch or prefetch.
7. External Calls
Wrap in timeout + circuit breaker. Measure each provider’s latency separately.
8. Payload Size
Check response bytes. Remove unused JSON, compress selectively.
9. Re-Test
Compare new latency histograms. Document improvements.
10. Guardrails
Add SLO alert (e.g., P95 > 300ms for 5m) to catch regressions.
Consistent latency builds trust.