How to interpret your load test results

Interpreting load test results involves analyzing key metrics like virtual users (VUs) and VU load time to identify trends that indicate the system's performance under varying loads. A stable system is suggested by a flat VU load time with increasing VUs, whereas an increase in both signals potential performance issues. Digging deeper into additional graphs like bandwidth, load generator CPU, and memory helps confirm findings and detect bottlenecks, such as network or CPU utilization issues. The URL and Pages tabs provide further insight into individual request and page load times, which can uncover hidden issues, especially if certain requests result in unexpected status codes or resource bottlenecks. Consistent performance testing is essential to identify and address problems before they impact users, and tools like Grafana k6 offer features like Thresholds, CLI, and Notifications to streamline this process.

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