This article explains the AWS CloudWatch Container Insights pod_cpu_utilization metric, its calculation as a percentage of node CPU, compares it with kubectl top, and introduces the related Pod CPU utilization over pod limit metric for effective Kubernetes resource monitoring.
This guide walks you through checking CPU usage, system load, resource consumption, process tracing, log inspection, and performance bottleneck analysis on Linux to pinpoint and resolve high CPU utilization issues.
This guide explains how to install lm_sensors, write a Bash script to retrieve CPU temperature, configure a Zabbix agent UserParameter, restart the agent, and set up a corresponding monitoring item on the Zabbix server, enabling automated CPU temperature monitoring.
The article describes NetEase Cloud Music’s custom client‑side APM system that combats sliding stutter, heating, UI freezes and crashes by employing binary‑tree stack aggregation to halve storage, window‑based CPU analysis, run‑loop jank detection, ping‑based ANR monitoring, and malloc‑logger memory tracking with automated dump thresholds.
This article explains the difference between CPU load and CPU usage, then shows step‑by‑step how to calculate CPU utilization on Linux using vmstat, parsing /proc/stat, and extracting idle percentages from top, with ready‑to‑run command examples for both single‑core and multi‑core systems.
This article explains iOS CPU architecture, why arm64 dominates iPhone hardware, compares CPU and GPU, and provides a step‑by‑step guide with Objective‑C code for implementing the QiCPUMonitor tool that tracks high‑CPU‑usage threads and records their call stacks every three seconds.
This article explains how to monitor iOS CPU power consumption using the QiCPUMonitor tool, covering CPU architecture basics, the implementation of QiCPUMonitor, relevant data structures, code snippets for thread inspection, and a periodic timer to capture high‑usage threads without impacting app performance.
This article explains typical Java issues such as NullPointerException, demonstrates using spin locks for efficient multithreading, emphasizes low‑coupling design, shows how to diagnose CPU spikes with Linux tools and jstack, and describes why hash functions have O(1) lookup with collision‑resolution strategies.
This article introduces Bistoury, an open‑source, non‑intrusive Java application diagnostic platform that combines Arthas and vjtools to provide online debugging, thread‑level CPU monitoring, and a graphical interface for efficient backend troubleshooting without requiring code changes or machine login.
The article investigates intermittent CPU usage spikes on Linux servers caused by a kernel cputime bug, explains the root‑cause analysis, describes a cold patch applied to newer kernels, and details a hot‑patch solution that safely resolves the issue across thousands of production machines.
During performance testing, the article explains how high soft‑interrupt CPU usage can be diagnosed via /proc/interrupts, and demonstrates binding network‑card interrupt queues to individual CPU cores using commands and scripts, resulting in balanced CPU load and reduced interrupt overhead.
This article explains how to monitor CPU usage on Linux using tools like top, vmstat, and gstat, analyzes common causes of high user and system CPU time, and provides practical tuning methods such as adjusting process priority, using ulimit, and configuring program‑specific CPU settings.
When a data center experiences sluggish network speeds despite connectivity, a systematic approach—checking device CPU usage, reviewing logs, using ping, verifying duplex settings, inspecting cables and modules, monitoring port status, conducting comparative tests, and scanning for malware—can pinpoint and resolve the underlying issues.
This guide explains both static and dynamic CPU performance indicators, shows how to retrieve static details via /proc/cpuinfo, and demonstrates using Linux commands like top, uptime, and ps to assess load, identify heavy processes, and interpret per‑core usage statistics.
