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Current program
120 days · about 4 months11 phases3 available117 planned
A structured path from Linux and Git through cloud, CI/CD, containers, Kubernetes, and production engineering.
Practice, not playback
This is not a watch-and-copy course. Read the day, try it yourself, break one thing safely, debug what you see, then practise the questions. I will share exercises and interview questions. You still have to do the work.
01
Understand the words. Predict what should happen before you run anything.
02
Do the core task. On write days, your first version is yours — not AI's.
03
Break one thing safely. Write down what you actually saw.
04
Logs, exit codes, and evidence. Chat is not a substitute for looking.
05
Answer the questions out loud. What fails, and how do you troubleshoot it?
06
Check whether you can explain it. If you cannot, you do not own it yet.
Generated output still needs an engineer
AI can generate
You still need to
AI can generate the files. You still have to understand them, catch what is wrong, run them, and live with the failure.
Later stages stay off the site until they are real
DevOps is the current program. Later stages stay off this site until there is real material.
Willing to practise
If you are willing to put in the hours, you can learn along with me. I may help with doubts and debugging when the question shows real work.
Instagram and Telegram
Daily posts go on Instagram. Discussion happens on Telegram. The 120-day plan stays here.
Shell, PATH, exit codes
Designed to help you build the skills and practical foundation needed to start attempting DevOps roles.