#monitoring
All articles tagged #monitoring — practical guides from production experience.
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17 posts tagged #monitoring · page 2 of 2
top Command Linux: Real-World Guide to CPU and Process Monitoring
Learn how to use the top command on Linux for production troubleshooting — reading CPU, load average, memory metrics, interpreting process states, and diagnosing high CPU and stuck processes in real incidents.
Linux Performance Troubleshooting: Complete Engineer's Guide
The complete guide to Linux performance troubleshooting — CPU, memory, disk I/O, process states, and network — with step-by-step workflows, real production scenarios, and links to deep-dive articles on every topic.
Linux Memory Leak Troubleshooting: RSS vs VSZ Explained
How to troubleshoot memory leaks on Linux — understanding RSS vs VSZ, tracking memory growth over time, identifying the leaking process, and real debugging steps from production systems.
Linux Log Analysis: How to Debug Issues Like a Senior Engineer
A practical Linux log analysis guide — journalctl usage, grep techniques, log correlation across services, and real-world debugging workflows used in production incident response.
Linux High CPU Usage: Step-by-Step Troubleshooting Guide
Step-by-step guide to diagnosing Linux high CPU usage — using ps, top, and htop to identify the culprit, distinguish user vs kernel vs I/O wait CPU, and resolve the issue in production.
Top Linux Debugging Tools Every Engineer Should Know
The essential Linux debugging tools for production troubleshooting — ps, top, htop, lsof, strace, iotop, vmstat, dmesg, and more — with real use cases and a comparison table.
htop vs top: Which Should You Use in Production?
htop vs top — a practical comparison for Linux engineers. When to use each, key differences in UI and usability, performance overhead, and real production scenarios where one beats the other.
How to Check Running Processes in Linux: Complete Guide
How to check running processes in Linux using ps, top, and htop — with filtering techniques, real troubleshooting workflows, and common mistakes engineers make when investigating process issues.