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Performance testing involves monitoring various metrics to assess system behavior under different conditions, including response time, throughput, CPU usage, memory utilization, and error rates.
When testing Linux server performance, you should monitor key metrics such as CPU usage, memory consumption, disk I/O, network bandwidth, process information, file system usage, system logs, boot and response times, context switches, and interrupts, using tools like top, vmstat, iostat, netstat, and custom Python scripts.
This article explains how to categorize and deeply understand key system performance metrics—including infrastructure, application, user experience, and business indicators—so engineers can monitor stability, efficiency, and business impact under high load and concurrency.
This article provides a Chinese‑English reference of frequently used Zabbix monitoring items, covering host groups, system metrics, file checks, network traffic, CPU/memory usage, and service checks, helping users configure and customize their Zabbix monitoring views.
This comprehensive guide explains why monitoring is vital for operations, outlines clear objectives and methods, compares popular open‑source and commercial tools, details a Zabbix‑based workflow, and covers hardware, system, application, network, security, API, performance, and business metrics with practical alerting strategies.