Book Image

Mastering Ubuntu Server - Third Edition

By : Jay LaCroix
Book Image

Mastering Ubuntu Server - Third Edition

By: Jay LaCroix

Overview of this book

Ubuntu Server has taken data centers around the world by storm. Whether you're deploying Ubuntu for a large-scale project or for a small office, it is a stable, customizable, and powerful Linux distribution with innovative and cutting-edge features. For both simple and complex server deployments, Ubuntu's flexible nature can be easily adapted to meet to the needs of your organization. This third edition is updated to cover the advancements of Ubuntu 20.04 LTS and further train you to understand how to use Ubuntu Server, from initial deployment to creating production-ready resources for your network. The book begins with the concepts of user management, group management, and file system permissions. Continuing into managing storage volumes, you will learn how to format storage devices, utilize logical volume management, and monitor disk usage. Later, you will learn how to virtualize hosts and applications, which will include setting up QEMU & KVM, as well as containerization with both Docker and LXD. As the book continues, you will learn how to automate configuration with Ansible, as well as take a look at writing scripts. Lastly, you will explore best practices and troubleshooting techniques when working with Ubuntu Server that are applicable to real-world scenarios. By the end of this Ubuntu Server book, you will be well-versed in Ubuntu server’s advanced concepts and attain the required proficiency needed for Ubuntu Server administration.
Table of Contents (26 chapters)
24
Another Book You May Enjoy
25
Index

Setting up a Kubernetes cluster

In the previous section, we set up MicroK8s, which provides us with a Kubernetes cluster on a single machine, which is great for testing purposes. That might even be all you need in order to learn Kubernetes and see how it works. If you can, I still recommend setting up a cluster manually, which will give you even more insight into how the individual components work.

When it comes to a production installation in an actual data center, having Kubernetes installed on multiple servers is commonplace. Typically, one of them will act as the master node, and then you can add as many worker nodes as you need. As your needs expand, you can add additional servers to provide more worker nodes to your cluster. Setting up a master Kubernetes node and then individual workers is a great way to see the actual relationship in action. And that's exactly what we're going to do in this section.

As I walk you through the process, I'm going to...