Endurance and Soak Testing

πŸ“‹ Table of Contents β–Ύ
  1. Designing Endurance and Soak Tests
  2. Common Mistakes

Some performance problems appear only after hours or days of continuous use, such as memory leaks, connection leaks or gradual degradation. Endurance (soak) testing is designed to surface these long-term issues before your users do.

Designing Endurance and Soak Tests

An endurance test runs a moderate, realistic load for an extended periodβ€”often several hours or overnightβ€”while monitoring resource consumption and error rates. The aim is to see whether metrics remain stable or drift in a problematic direction.

Example endurance test:
- Load: 200 concurrent users simulating normal traffic mix
- Duration: 8–24 hours
- Monitored metrics: memory usage, open connections, CPU, error rate, response time percentiles
- Success criteria: no increasing trends in memory or error rate, stable performance
Note: Endurance tests are particularly valuable for systems with complex state, caches or long-lived connections.
Tip: Use dashboards that show trends over the entire run so you can spot slow drifts that short tests would miss.
Warning: Running endurance tests in shared environments can hide issues if other workloads interfere; dedicated or well-understood environments work best.

Findings from endurance tests often lead to fixes in resource handling, connection pooling or job scheduling.

Common Mistakes

Mistake 1 β€” Running only short, intense tests

This misses slow leaks.

❌ Wrong: Assuming that a 30-minute test is enough to catch all performance issues.

βœ… Correct: Complement shorter tests with occasional long-running soaks.

Mistake 2 β€” Not collecting enough telemetry

This obscures root causes.

❌ Wrong: Only checking whether the test completed, without detailed metrics.

βœ… Correct: Record resource usage and application logs throughout the test.

🧠 Test Yourself

Why are endurance tests important?