Tools / Developer tools and DevOps
Kubernetes
Running many containers across many machines, and keeping them running.
About 25 hours of study. It builds on Containers and Docker and Computer networks.
Where to learn it
TechWorld with Nana
The whole video
About three and a half hours, with a local cluster you set up yourself.
Killercoda community
Labs 1–22, from Pods to Services
A real cluster in the browser. Needs a free account.
Wrong chapter, dead link, or know something better? Tell us on GitHub.
Your route to Kubernetes
Pick where you’re starting from. Anything your background already covers is left out, and the rest is put in order.
5 stops to go, about 120 hours of study.
Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.
- 40 h
Programming. Ready to start.
- 8 h
Programming. Ready to start.
- 35 h
Systems. After Programming in Python.
- Tool12 h
Infrastructure and operations. After The shell and command-line tools.
- Tool25 h
Infrastructure and operations. After Containers and Docker and Computer networks.
That's the whole route to Kubernetes.
Which roles ask for it
- Backend engineer good to have
- Data engineer good to have
- DevOps / site reliability engineer in the first year
- MLOps engineer in the first year
- Platform engineer to get hired
- Security engineer good to have
- Solutions architect good to have
- Cloud engineer in the first year
What it needs and what it leads to: Kubernetes on the map.