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)

Summary

This chapter was all about Kubernetes. I started this chapter by describing a possible work environment as a developer: a good workstation with tooling to start local development, even with Kubernetes locally installed. I used Ubuntu Desktop as an example, but in fact it doesn't really matter, as long you are happy with your development environment.

With everything in place locally, I covered the configuration of the Kubernetes cluster in Azure, using the Azure CLI and PowerShell.

Deployment of workloads in Azure can be as simple as executing kubectl run, but more complex scenarios were also explored: multi-container applications.

As a developer, two tools are available to help to streamline your development process: Draft and Helm. Draft is used for the initial development phase, probably on your local Minikube, and Helm is used afterwards to install and maintain...