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A systematic approach to ensuring and improving system and software performance across the entire lifecycle.
Performance engineering is a systematic, holistic approach to ensuring and improving software and system performance across the entire lifecycle. It combines measurement, modelling, load and stress testing, and capacity planning to reveal bottlenecks, guarantee response times, and predict scalability. Emphasis is on preventive measures and continuous observability.
Number of successfully processed requests per time unit; key metric for load tests.
Latency values at high percentiles to reflect user experience under load.
Share of failed requests; indicates stability and performance issues.
Case study on load simulation, auto-scaling rules and cache pre-warming.
Profiling identified costly RPC calls and led to API optimizations.
Modeling concurrent users and CDN consumption for cost and performance forecasting.
Measure baseline, define requirements and SLAs, set up test environment.
Create load profiles, automate tests, collect and visualize metrics.
Analyze results, prioritize actions, and integrate into CI/CD.