API<\/a> Load Testing<\/a> is a critical performance testing practice used to determine how an Application Programming Interface<\/a> behaves under a specific expected load. This process involves simulating multiple concurrent users or requests to measure the system's Scalability<\/a> and Reliability<\/a>. Unlike Stress Testing<\/a>, which seeks to find the breaking point of an application, load testing focuses on ensuring that the system can handle traffic volumes defined in Service Level Agreements<\/a> (SLAs).<\/p> During the execution of an API<\/a> load test, several key metrics are monitored to evaluate the health of the Backend<\/a> infrastructure:<\/p> Engineers utilize various tools to automate Performance Testing<\/a>. According to documentation from k6<\/a>, modern testing should be integrated into Continuous Integration<\/a> (CI) pipelines. Popular tools include:<\/p> As noted by BlazeMeter<\/a>, effective API<\/a> testing requires a realistic environment that mirrors production as closely as possible to identify Bottlenecks<\/a> effectively.<\/p>Key Performance Metrics<\/h2>
Industry Standard Tools<\/h2>
Related Topics<\/h2>