Master Linux system performance by learning ten powerful monitoring commands—top, vmstat, lsof, iotop, iostat, htop, netstat, iftop, tcpdump, and nethogs—each illustrated with usage examples and output, enabling quick diagnosis of CPU, memory, disk, and network issues.
This guide walks through installing the command‑line version of WoeUSB on Ubuntu, identifying the target USB device, and using a single command to write a Windows 11 ISO to the drive, enabling a clean Windows installation from Linux.
This article introduces the ten most frequently used operations engineering tools, detailing each tool's functions, suitable scenarios, advantages, and real‑world examples, and includes practical code snippets to help engineers automate and streamline their daily workflows.
An in‑depth guide walks through essential Linux server monitoring tools—top, vmstat, pidstat, iostat, netstat, tcpdump and others—explaining each command’s output, key metrics, and how to interpret CPU, memory, disk and network statistics for effective troubleshooting and performance tuning.
This article outlines a systematic approach to diagnosing and optimizing application performance, covering background concepts, a four‑step workflow, common pitfalls, and a comprehensive toolbox of Linux and Java utilities, while emphasizing practical analysis techniques for CPU, memory, disk, and network bottlenecks.
This article details a production incident where a Go backend service returned "connection reset by peer" due to exhausted process file descriptors caused by a saturated database connection pool, and describes the step‑by‑step troubleshooting, socket internals, and the eventual fix.
This article details a step‑by‑step investigation of unusually high native memory consumption in a Spring Boot service, covering JVM configuration, system‑level diagnostics with jcmd, pmap, gperftools, strace, GDB, and jstack, and explains how the MCC component’s default package scanning caused the leak and how configuring scan paths or upgrading Spring Boot resolved the issue.
This article shares practical methods for frontline engineers to quickly understand, assess, and resolve online system problems by categorizing system layers, evaluating impact, using essential Linux monitoring tools, and applying systematic troubleshooting and design‑for‑failure strategies to minimize downtime.
This article outlines a systematic methodology for understanding, evaluating, and quickly resolving production system incidents by categorizing system layers, assessing impact, employing Linux diagnostic tools, and designing fault‑tolerant mechanisms to minimize downtime and maintain core functionality.
This article presents a systematic methodology for diagnosing and resolving online system issues, covering system understanding, impact assessment, rapid recovery techniques, detailed troubleshooting steps with Linux and Java tools, and design principles to mitigate future failures.
When system performance degrades, start by examining OS reports—CPU usage, memory consumption, disk and network I/O, and connection counts—using tools like Windows PerfMon, Linux vmstat, iostat, top, iftop, or Wireshark to pinpoint bottlenecks before diving into code.
