Koormustestide

Koormustestide refers to load tests, a subset of performance testing that evaluates how a software system behaves under expected and peak workloads. The goal is to verify that the system meets defined performance criteria such as response times, throughput, and stability under load, and to identify bottlenecks before production. Koormustestide inform capacity planning and help validate service level agreements with users or customers.

The testing process typically involves planning, designing workload models that reflect real user behavior, setting up an appropriate test environment and data, executing tests, and analyzing results. There are several types: baseline load testing measures current performance under normal load; load testing increases the volume to observe behavior under anticipated peak usage; endurance or soak testing runs the system at a sustained load to detect memory leaks or degradations; spike testing introduces sudden increases to test elasticity; and stress testing pushes the system beyond expected limits to determine breaking points.

Common tools include Apache JMeter, Gatling, Locust, and k6, chosen according to technology stack and integration needs. Key metrics tracked are response time and latency, throughput, error rate, and resource utilization, including CPU, memory, disk I/O, and network I/O. Percentage-based latency metrics such as p95 and p99 are often reported to capture tail behavior.

Best practices emphasize realistic workload modeling, representative test data, environment parity with production, thorough monitoring, and a defined rollback or remediation plan. Findings are documented in test reports to guide tuning, capacity planning, and investment decisions. Koormustestide sit at the intersection of performance engineering and capacity management, informing reliability and user experience strategies.