I'm diving into Kubernetes for the first time to set up a GenAI environment, but I've got solid experience with Ansible and Docker, including Docker Swarm. I'm curious about where Kubernetes fits into the broader DevOps process and how it overlaps with tools I'm already familiar with. I envision a deployment process involving: 1. Configuring bare metal systems, 2. Establishing basic infrastructure like Docker registries and Python environments, 3. Compiling application builds (like LLM models), and 4. Deploying the applications. From what I've gathered, Kubernetes seems to kick in mainly at the deployment stage. Am I missing other key uses for Kubernetes in the earlier steps? Also, why should I opt for Kubernetes for deployment when Ansible can handle all the steps? How do others integrate these tools in their workflows?
1 Answer
If you've checked out various guides about Kubernetes and still have questions, the best way to learn is to just start using it! Dive into some hands-on labs or tutorials to see how it works in practice. There's a lot out there that can demystify K8s for you.
Could you recommend any specific guides focused on bootstrapping within Kubernetes, especially for bare metal setups?