I recently started a DevOps-related role and need to learn Kubernetes, Helm, and the surrounding concepts. There are so many topics and resources that I'm unsure what to prioritize. I have some experience with Linux, Docker, containers, and networking, but Kubernetes itself is new to me. For people who use Kubernetes professionally, how did you learn it? Which concepts should come first, how much hands-on practice should I do alongside theory, and which free courses, labs, books, or other resources are worth using? I'd like to understand how Kubernetes actually works rather than just memorize commands, and eventually feel comfortable deploying and troubleshooting applications in a real work environment.
4 Answers
A structured fundamentals course can keep you from jumping randomly between topics. KodeKloud is one option, and a Certified Kubernetes Administrator course can provide a useful sequence if you prefer exam-oriented material. You don’t need to pursue the certification immediately, but its syllabus covers many of the core concepts worth learning.
A practical progression would be Kubernetes fundamentals first, followed by Helm and then more specialized tools or certifications such as CKA material. Build small clusters and deploy applications while studying instead of separating theory from practice. Existing Linux, Docker, networking, and cloud experience will help a lot. A roadmap such as the DevOps path on roadmap.sh can also give you a sensible order for filling in gaps.
Start with containers, then deploy a couple of simple applications to a local cluster using plain Kubernetes YAML. Tools like kind or k3d work well for this. Learn Pods, Deployments, Services, ConfigMaps, and basic storage before introducing Helm. Helm is mainly a packaging and templating tool for Kubernetes manifests, so it makes much more sense once you understand the resources it is generating. A small web app and a database are good practice projects.
I’m already comfortable with Docker, so I’ll focus on deploying simple applications with Kubernetes YAML first and then use Helm once the underlying resources make sense. Thanks!
Make the learning process very hands-on. Create a local kind or k3d cluster, deploy workloads with kubectl, and intentionally break things. Networking is especially important: understand how Pods communicate with Services, how Ingress routes traffic, and how traffic reaches the outside world. For Helm, try running helm template so you can see how chart values become ordinary Kubernetes YAML. Reading kubectl describe and troubleshooting failed Pods, ConfigMaps, or networking issues will teach you more than memorizing every command. A short fundamentals course or the official documentation can help with vocabulary, but start experimenting as soon as you understand the basic objects.
That sounds like the structure I need. I’ll begin with the fundamentals and small local deployments, then add Helm once I’m comfortable with the core Kubernetes objects and troubleshooting workflow.