Book Image

Hands-On Linux Administration on Azure

By : Frederik Vos
Book Image

Hands-On Linux Administration on Azure

By: Frederik Vos

Overview of this book

Azure’s market share has increased massively and enterprises are adopting it rapidly, while Linux is a widely-used operating system and has proven to be one of the most popular workloads on Azure. It has thus become crucial for Linux administrators and Microsoft professionals to be well versed with managing Linux workloads in an Azure environment. With this guide, system administrators will be able to deploy, automate, and orchestrate containers in Linux on Azure. The book follows a hands-on approach to help you understand DevOps, monitor Linux workloads on Azure and perform advanced system administration. Complete with systematic explanations of concepts, examples and self-assessment questions, the chapters will give you useful insights into Linux and Azure. You’ll explore some of Linux’s advanced features for managing multiple workloads and learn to deploy virtual machines (VMs) in Azure. Dedicated sections will also guide you with managing and extending Azure VMs’ capabilities and understanding automation and orchestration with Ansible and PowerShell DSC. In later chapters, you’ll cover useful Linux troubleshooting and monitoring techniques that will enable you to maintain your workload on Azure. By the end of this book, you’ll be able to make the most out of Azure’s services to efficiently deploy and manage your Linux workloads.
Table of Contents (14 chapters)

Deploying Your Virtual Machines

It's easy to deploy a single virtual machine in Azure, but as soon you want to deploy more workloads in a single, reproducible way, you need some sort of automation.

In Azure, you can use the Azure Resource Manager to deploy virtual machines using template configuration files together with Bash, PowerShell, Ruby, and C#. Other deployment methods are available using third-party tools such as Packer and Vagrant.

All the methods described are using available images, but it's also possible to create your own custom virtual machines.

Before going into the configuration of all the possible options available, it is important to be aware of the different deployment options and why you want or don't want to use them. You have to ask yourself some questions first:

  • When are you going to deploy your application?
  • What parts of the workload should...