An average-load test is a type of load testing that evaluates how a system performs under typical conditions by simulating the number of concurrent users and requests per second that reflect average production behaviors. This testing process involves gradually increasing the load to a target average, maintaining it for a significant period, and sometimes incorporating a ramp-down period. The goal is to assess system performance during typical usage, identify potential signs of degradation, and ensure that performance standards are met after any system changes. Using tools like Grafana k6, testers can configure scripts to simulate these conditions, allowing them to analyze system stability and resource consumption during the test. Once systems perform well under average conditions, further tests like stress tests can explore performance under more demanding scenarios.