A production incident shows a server with 80% CPU usage but a Load Average over 40, revealing that high load often stems from IO wait and soft interrupts rather than CPU saturation, and provides a step‑by‑step troubleshooting guide using top, vmstat, iostat and ps.
The article walks through a real‑world Linux alert showing a 243% CPU IO Wait, explains how to interpret the metric, gathers system basics, uses iostat, iotop, pidstat and mpstat to probe the IO subsystem, checks disk health, and ultimately discovers the root cause was a mis‑configured Prometheus alert rule.
This article explains which components—user processes, I/O wait, and system interrupts—consume most CPU in MySQL, describes the performance impact of high CPU, and provides concrete strategies such as reducing I/O, simplifying calculations, optimizing indexes, and judiciously scaling hardware to lower CPU usage.
This article explains which components (user processes, IO wait, system interrupts) consume CPU in MySQL, shows their impact on performance, and provides practical strategies to reduce CPU usage through IO optimization, query tuning, data modeling, caching, and hardware upgrades.
This article explains which components consume CPU on a MySQL server, analyzes the impact of user‑space processing and IO wait, and provides practical strategies—such as optimizing indexes, reducing unnecessary calculations, and improving IO handling—to lower CPU usage and improve overall database performance.
This article explains why a Linux system can show a high load average while CPU utilization remains low, covering the concepts of load, multi‑tasking operating systems, process states, scheduling, and common scenarios that cause I/O‑bound load spikes.
