You can't build a skyscraper without a solid foundation. In DevOps, that foundation is Linux.
Here is a hard truth: You cannot be a successful DevOps Engineer without mastering Linux.
While Windows Server has its place (and we cover it!), Linux powers:
- 90% of the public cloud workload
- Most Kubernetes nodes
- Almost every Docker container
- The vast majority of web servers
If you are coming from a Windows or non-technical background, the terminal can look intimidating. This guide is your roadmap to navigating it.
π Full interactive module available at: devopsguide.tech/docs/02-operating-systems
TL;DR (The Learning Path)
| Focus Area | Key Concepts to Master |
|---|---|
| π§ The Basics | File system hierarchy (/etc, /var, /home), Permission bits (chmod) |
| β¨οΈ Commands | File ops (ls, cp, mv), Searching (find, locate) |
| β‘ Processes | Managing services (systemd), Killing processes (kill, pkill) |
| π Monitoring | Resource usage (top, htop, vmstat), Disk space (df, du) |
| π Text Magic | Log analysis (grep, sed, awk, cat) |
1. Why Linux Architecture Matters
Understanding the "Why" is just as important as the "How". Linux is built on the philosophy that "Everything is result of a file" (or a file descriptor).
If you want to check CPU info? Read a file (/proc/cpuinfo).
Want to check devices? Check a file (/dev).
This makes automation incredibly powerful because you can treat system configurations just like any other text file.
Distro Cheat Sheet
Stuck on which version to learn?
- Ubuntu/Debian: Best for beginners and general servers.
- RHEL/CentOS/AlmaLinux: The corporate standard for enterprise.
- Alpine: The tiny, lightweight king of containers.
2. The Power of Text Manipulation
As a DevOps engineer, you will spend half your life parsing logs looking for errors. Tools like grep, sed, and awk are your superpowers.
Real-World Example: Log Analysis
Imagine you have a 5GB web server log and you need to find all 500 (Internal Server Error) responses.
The Slow Way (Opening in an editor):
- Crash your computer.
The DevOps Way:
# Find all 500 errors and count unique IPs hitting them
grep " 500 " access.log | awk '{print $1}' | sort | uniq -c | sort -nr
This single line of code can save you hours of manual work. Learn regexβyour future self will thank you.
3. Performance Monitoring
"The server is slow" is a complaint you'll hear often. How do you prove it?
You need to know the basic observability tools:
- top / htop: Real-time view of running processes.
- iostat: Is your disk writing too slow?
- netstat / ss: Who is connected to my server?
- free: Are we out of RAM?
Pro Tip: Don't just restart the server. Investigate why it crashed. Check
/var/log/syslogorjournalctl.
π§ͺ Hands-On Challenge
Theory is great, but practice makes perfect. Try this lab from our course:
Challenge: Create a script that checks if your disk usage is above 80% and writes a warning to a specific log file.
- Use
df -hto get disk usage. - Use
awkto filter just the percentage number. - Write a simple
ifstatement in bash.
(Need the solution? Check out our hands-on labs)
π Next Steps
Linux is deep. You can spend a lifetime mastering the kernel. But for DevOps, you need to be "Dangerous enough to stay afloat."
Focus on:
- Shell Scripting (Bash)
- File Permissions (Security)
- Networking (Ports, IPs, DNS)
Complete the full module here: DevOps Learning Path - Operating Systems
Happy Hacking! π§
Top comments (0)