Hey everyone! I'm currently a Machine Learning Engineer with a solid understanding of Docker and cloud platforms. I'm eager to dive into Kubernetes and would love to hear your recommendations for resources that can help me learn both the theoretical background and practical skills for k8s. From beginner to a more advanced user, what have you found most helpful? Thanks a ton!
4 Answers
If you're looking for practical resources, KodeKloud is fantastic! It provides loads of labs and explanations that are really helpful for getting your hands dirty with Kubernetes.
Kubernetes is really different from using typical cloud services because it offers so many options for configuration. One thing that has helped me is using a chatbot called LeChat. It explains concepts at my level and clarifies any doubts I have, as well as provides links to articles and tutorials for deeper learning. Just keep experimenting and, as the other user said, don’t forget to take snapshots of your VMs so you can revert if things go wrong!
What made you interested in learning Kubernetes as an MLE? Are you looking to move into MLOps?
I think the best way to learn Kubernetes is just to get hands-on with it. Start with something like MicroK8s and run a simple workload. Try configuring ingress, experiment with basic storage, and build your knowledge from there. Personally, I've always learned best through trial and error, so don't be afraid to make mistakes along the way!
Yeah, I'm definitely interested in transitioning into MLOps. Plus, my curiosity is really fueling this journey. I've already built some full ML pipelines using Vertex AI.