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)

Managing Kubernetes

We created a Kubernetes cluster, we learned about the kubectl utility and about some of the tools available to develop and maintain your applications in the Kubernetes cluster.

So, if you look back at my three questions in the introduction of this chapter, I've answered the first question. In this section, I am going to answer the other two questions and also cover how to update the Kubernetes version.

Updating applications

Earlier on, we used Helm and Draft to manage our application, doing all the hard work. But you can also update the workload with the help of kubectl.

Normally, your cluster is empty now, let's quickly deploy our nginx pod again:

kubectl run nginx --image=nginx

Have a good...