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CPU Usage Monitoring Guide: Performance Analysis on Linux Servers

Is your server running slower than usual?
The source of the problem is often processor density.
With this guide, you will detect CPU problems early.

📌 Technical Summary​

This guide explains CPU monitoring on Linux servers.
The goal is to identify bottlenecks and delays.

Steps followed:

  • Learning the difference between load and usage
  • Determining the number of cores
  • uptime and ball analysis
  • Stress test application
  • Long-term monitoring from the panel

🚀 What Will You Learn in This Guide?​

  • Difference between CPU and Load Average
  • interpret uptime output
  • find problematic transactions with top
  • doing stress testing
  • Analyzing historical data

🛠️ Requirements​

Before you start:

  • Linux server (tr1-node01)
  • SSH access
  • sudo authority
  • stress package

✅ Step 1: Understanding the Concept of CPU and Load​

These two concepts are often confused.

  • CPU usage: Shows processor density.
  • Load average: Refers to pending transactions.

Simple Analogy​

Market checkout example:

  • Cashier → CPU
  • Customer queue → Load

The cashier may be empty.
But the customer can wait.

✅ Step 2: Learning the Number of Cores​

This command shows the number of cores.

nproc --all
  • This command gives hardware details.
lscpu

✅ Step 3: Quick Check with uptime​

  • This command shows the load average.

uptime

Output:

  • 1 minute

  • 5 minutes

  • 15 minutes

Includes the average.

If the number of cores is exceeded, slowdown begins.

✅ Step 4: Performing a Stress Test​

  • This command stresses the CPU.
stress -c 2
  • Open new terminal during testing.

✅ Step 5: Detailed Analysis with the ball​

  1. This command provides live monitoring.
top

Important Areas

AreaDescription
usUser actions
sySystem operations
idIdle CPU
waDisk standby
stVirtualization latency

Hint

  • To see all cores:

  • Press 1.

✅ Step 6: Finding the Busiest Process​

  1. This command sorts the CPU.
ps -eo pid,cmd,%cpu --sort=-%cpu | head

✅ Step 7: Monitoring via Panel​

  1. Commands give instant information.
  2. Panel is required for history.
  • In the GenixNode panel:

  1. Hourly

  2. Daily

  3. Weekly

graphics appear.

✅ Step 8: Monitoring Agent Installation​

  • This command installs the monitoring agent.
curl -sSL https://repos.insights.digitalocean.com/install.sh | sudo bash
  • New metrics appear after installation.

📊 Ideal CPU Values​

  1. Server Type Normal Web 20–60% API 30–70% Compute 80–95%

Not recommended 100% of the time.

🧩 Troubleshooting​

If CPU is Constantly High

  1. control with ball

  2. Look at wa value

  3. Measure disk speed

  4. Optimize codes

  5. Turn off unnecessary services

❓ Frequently Asked Questions​

1. What is the ideal load value? It should not exceed the number of cores.

2. Is 100% CPU harmful? It is normal for computing tasks.

3. Why is wa rising? The disk or network may be slow.

4. Why does the st value increase? The physical server is busy.

5. Will panel data be deleted? Old data will be lost when the Agent is installed.

🎯 Result​

With this guide:

You learned about CPU issues You performed live analysis You set up long-term monitoring You improved performance

With the GenixNode infrastructure, you can manage your servers professionally and prevent bottlenecks early. 🚀