Building Your Own Kubernetes Cluster on Ubuntu Servers

Take Control of Your Container Orchestration

While cloud providers offer managed Kubernetes services, building your own cluster provides a deeper understanding and ultimate control. The ‘Ubuntu System Administration Guide’ provides a detailed, hands-on guide to creating a production-ready Kubernetes cluster from scratch on a set of Ubuntu servers using the official `kubeadm` tool.

The Master and Worker Node Architecture

A Kubernetes cluster consists of at least one ‘master’ (or control-plane) node and one or more ‘worker’ nodes.

• Master Node: This is the brain of the cluster. It runs the Kubernetes API server, scheduler, and controller manager, which are responsible for managing the state of the cluster.
• Worker Nodes: These are the machines where your actual applications (as containers in Pods) run. The master node tells the worker nodes what to run, and the workers execute the instructions.

The book guides you through preparing your Ubuntu servers, installing the necessary dependencies like a container runtime (CRI-O), and then initializing the cluster.

This post is based from content of the book Ubuntu System adminstration guide. And the book can be found here https://www.amazon.com/stores/Mattias-Hemmingsson/author/B0FF5CQX13