Description
Performance Testing Interview Questions and Answers basic to Advanced, Real-time Scenario-Based and Coding Based
Performance Testing Â
- Foundations: Understand load, stress, soak, spike, and endurance testing and when to apply each.
- Key metrics: Measure latency, throughput, error rate, concurrency, and resource utilization as primary KPIs.
- Tools and frameworks: Be proficient with tools like JMeter, Gatling, k6, and cloud load services for realistic traffic generation.
- Test design: Create representative user journeys, realistic data sets, and environment parity to avoid false positives.
- Profiling and diagnostics: Use CPU/memory profilers, flame graphs, thread dumps, and APM traces to find hotspots.
- Automation: Integrate performance tests into CI/CD pipelines, add performance gates, and detect regressions automatically.
- Data analysis: Analyze percentiles and tail latency (p50/p95/p99), correlate metrics with logs and traces, and report actionable findings.
- Capacity planning: Model demand, run capacity and scalability tests, and validate autoscaling and throttling strategies.
- Resilience testing: Combine load tests with fault injection and chaos experiments to validate graceful degradation.
- Database and backend tuning: Profile queries, tune connection pools, and validate caching and CDN behavior under load.
- Performance at scale: Design multi‑region, multi‑tenant tests, evaluate network and storage bottlenecks, and quantify cost‑performance tradeoffs.
- Leadership and process: Establish performance SLAs, run blameless postmortems for regressions, and mentor teams to build a performance‑aware culture.
