Performance Testing Explained

Evaluate system behavior under expected and peak loads — identifying bottlenecks and verifying performance before users encounter them.

Performance Testing

Performance testing evaluates how a system behaves under expected and peak workloads, measuring response times, throughput, resource utilization, and stability to identify bottlenecks before they affect users.

Explanation

Performance testing encompasses several sub-types: load testing (expected concurrent users), stress testing (beyond expected capacity to find breaking points), endurance testing (sustained load over time to detect memory leaks), and spike testing (sudden traffic surges). Tests simulate realistic user scenarios and measure key metrics: response time (p50, p95, p99), throughput (requests per second), error rate, and resource consumption (CPU, memory, network). Tools like k6, Gatling, Locust, and JMeter generate synthetic load and report results. Performance testing should run in CI/CD against environments that mirror production.

Bookuvai Implementation

Bookuvai conducts performance testing on every project with traffic expectations. We use k6 for load testing, define performance budgets (p95 latency under 200ms), and run tests in CI/CD against staging environments. Results are compared against baselines to catch performance regressions.

Key Facts

  • Sub-types: load, stress, endurance, and spike testing
  • Key metrics: response time (p50/p95/p99), throughput, error rate
  • Tools: k6, Gatling, Locust, JMeter for synthetic load generation
  • Should run in CI/CD against production-like environments
  • Performance budgets define acceptable thresholds for metrics

Related Terms

Frequently Asked Questions

When should I start performance testing?
Start performance testing before launch and continue in CI/CD. Establish baselines early so regressions are caught immediately. Test against realistic traffic patterns derived from analytics or business projections.
What is the difference between load testing and stress testing?
Load testing simulates expected traffic to verify the system meets performance targets. Stress testing pushes beyond expected capacity to find breaking points and understand degradation behavior. Both are valuable for different insights.
What are percentile-based latency metrics?
p50 (median) is the latency for the average user. p95 means 95% of requests are faster. p99 means 99% are faster. Focus on p95 and p99 because they represent the experience of your most-affected users, which averages can hide.