Name some Performance Testing metrics to measure
Name some Performance Testing metrics to measure
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].
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