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Systematic testing of applications under defined load to assess performance, stability and scalability.
Load testing is a technique for assessing system performance by applying defined user or transaction loads. It measures response times, throughput and stability under expected conditions and uncovers bottlenecks and scaling limits. Tests are commonly automated and executed in staging or production-like environments to ensure realistic results.
Number of successfully processed requests per second under load.
Indicates the upper response time which 95% of requests fall below.
Share of failed requests at a defined load level.
Simulated peak loads revealed a database bottleneck; result was a sharding and caching strategy.
Load tests identified slow endpoints which were made asynchronous and buffered, improving throughput.
Load tests validated auto-scaling targets and prevented overprovisioning during peaks.
Define goals and acceptance criteria; prioritize relevant scenarios.
Develop load profiles and test scripts; prepare test environment.
Run automated tests, analyze results and initiate remediation actions.