You're reading from Azure DevOps Explained Get started with Azure DevOps and develop your DevOps practices

Product type Paperback

Published in Dec 2020

Publisher Packt

ISBN-13 9781800563513

Length 438 pages

Edition 1st Edition

Tools

Azure

Concepts

DevOps

Authors (4):

Stefano Demiliani

Sjoukje Zaal

Amit Malik

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: DevOps Principles and Azure DevOps Project Management

2. Chapter 1: Azure DevOps Overview FREE CHAPTER

3. Chapter 2: Managing Projects with Azure DevOps Boards

4. Section 2: Source Code and Builds

5. Chapter 3: Source Control Management with Azure DevOps

6. Chapter 4: Understanding Azure DevOps Pipelines

7. Chapter 5: Running Quality Tests in a Build Pipeline

8. Chapter 6: Hosting Your Own Azure Pipeline Agent

9. Section 3: Artifacts and Deployments

10. Chapter 7: Using Artifacts with Azure DevOps

11. Chapter 8: Deploying Applications with Azure DevOps

12. Section 4: Advanced Features of Azure DevOps

13. Chapter 9: Integrating Azure DevOps with GitHub

14. Chapter 10: Using Test Plans with Azure DevOps

15. Chapter 11: Real-World CI/CD Scenarios with Azure DevOps

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Planning and setting up your self-hosted Azure pipeline agent

In order to use a self-hosted agent with Azure Pipelines, you will need to set up a machine and configure it for your pipeline requirements. Typically, you would choose an OS version best suited for your project, considering the framework, libraries, and build tools compatibility.

For the purpose of this demonstration, we'll be setting up a VM in Azure and will configure it to use a self-hosted agent. You can choose to host your agent server in any cloud or on-premises environment.

Choosing the right OS/image for the agent VM

The first decision you take while setting up the VM is choosing the OS/image for the server depending on your target deployment. If you are deploying in an on-premises environment, you may just select one of the supported OS versions (such as Windows Server 2016) and install the necessary software. In the case of cloud deployments, you have multiple options provided in the form of images...