What metrics do you check in performance testing / load testing?
💡 Model Answer
In performance testing, especially load testing, we monitor several key metrics: response time (average, median, percentiles), throughput (transactions per second), error rate, resource utilization (CPU, memory, disk I/O, network), concurrency (active users), and system stability. These metrics help identify performance bottlenecks, capacity limits, and ensure the system meets SLAs. For example, a high average response time combined with low throughput indicates a processing bottleneck. Monitoring error rate helps detect failures under load. Resource utilization shows if hardware is saturated. By correlating these metrics, we can pinpoint issues and validate performance goals.
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