You're reading from Mastering Linux Administration A comprehensive guide to installing, configuring, and maintaining Linux systems in the modern data center

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781789954272

Length 772 pages

Edition 1st Edition

Tools

Linux

Concepts

System Administration

Authors (2):

Alexandru Calcatinge

Julian Balog

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: Linux Basic Administration

2. Chapter 1: Installing Linux FREE CHAPTER

3. Chapter 2: The Linux Filesystem

4. Chapter 3: Linux Software Management

5. Chapter 4: Managing Users and Groups

6. Chapter 5: Working with Processes, Daemons, and Signals

7. Section 2: Advanced Linux Server Administration

8. Chapter 6: Working with Disks and Filesystems

9. Chapter 7: Networking with Linux

10. Chapter 8: Configuring Linux Servers

11. Chapter 9: Securing Linux

12. Chapter 10: Disaster Recovery, Diagnostics, and Troubleshooting

13. Section 3: Cloud Administration

14. Chapter 11: Working with Containers and Virtual Machines

15. Chapter 12: Cloud Computing Essentials

16. Chapter 13: Deploying to the Cloud with AWS and Azure

17. Chapter 14: Deploying Applications with Kubernetes

18. Chapter 15: Automating Workflows with Ansible

19. Other Books You May Enjoy

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:

AWS Free Tier: https://aws.amazon.com/free
Microsoft Azure free account: https://azure.microsoft.com/en-us/free/

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...