In the context of performance testing, several key metrics are crucial for measuring the effectiveness and efficiency of a system under test. These metrics provide insights into various aspects of system performance, including responsiveness, throughput, resource utilization, and stability. Here are some of the performance testing metrics to measure:
Response Time: This metric measures the time taken by the system to respond to a user request. It is critical for evaluating the speed and responsiveness of an application[2][8].
Throughput: Throughput refers to the number of requests a system can handle per unit of time. It is an essential metric for assessing the capacity and scalability of a system[2][8].
Error Rate: The error rate indicates the percentage of failed requests out of the total requests made to the system. It helps in identifying the reliability and stability of an application[2][8].
CPU Utilization: This metric measures the percentage of CPU resources consumed by the application during the test. High CPU utilization may indicate that the application is resource-intensive or has performance bottlenecks[8].
Memory Utilization: Memory utilization tracks the amount of memory (RAM) used by the application. It is important for understanding the application's memory efficiency and identifying potential memory leaks[8].
Average Latency Time: Average latency time measures the average time taken to receive the first byte after a request is sent. It provides insights into the delay introduced by the network and the application's processing time[2][8].
