Book Image

Mastering Linux Administration

By : Alexandru Calcatinge, Julian Balog
Book Image

Mastering Linux Administration

By: Alexandru Calcatinge, Julian Balog

Overview of this book

Linux plays a significant role in modern data center management and provides great versatility in deploying and managing your workloads on-premises and in the cloud. This book covers the important topics you need to know about for your everyday Linux administration tasks. The book starts by helping you understand the Linux command line and how to work with files, packages, and filesystems. You'll then begin administering network services and hardening security, and learn about cloud computing, containers, and orchestration. Once you've learned how to work with the command line, you'll explore the essential Linux commands for managing users, processes, and daemons and discover how to secure your Linux environment using application security frameworks and firewall managers. As you advance through the chapters, you'll work with containers, hypervisors, virtual machines, Ansible, and Kubernetes. You'll also learn how to deploy Linux to the cloud using AWS and Azure. By the end of this Linux book, you'll be well-versed with Linux and have mastered everyday administrative tasks using workflows spanning from on-premises to the cloud. If you also find yourself adopting DevOps practices in the process, we'll consider our mission accomplished.
Table of Contents (20 chapters)
Section 1: Linux Basic Administration
Section 2: Advanced Linux Server Administration
Section 3: Cloud Administration

Technical requirements

You should be familiar with Linux and the command-line interface in general. A good grasp of TCP/IP networking and Docker containers would go a long way in making your journey easier to learning Kubernetes.

The sections exploring Kubernetes in the cloud require AWS and Azure accounts if you want to follow along with the practical examples. You may sign up for free subscriptions at the following links:

You will also need a local desktop machine with a Linux distribution of your choice to install and experiment with the CLI tools used in this chapter.

We'll devote a relatively large section to building a Kubernetes cluster using virtual machines. A powerful desktop system with a few CPU cores and at least 8 GB RAM will allow you to replicate the related environment on your desktop. You'll also need a desktop hypervisor...