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Azure DevOps Explained

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

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800563513
Length 438 pages
Edition 1st Edition
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Authors (4):
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Stefano Demiliani Stefano Demiliani
Author Profile Icon Stefano Demiliani
Stefano Demiliani
Sjoukje Zaal Sjoukje Zaal
Author Profile Icon Sjoukje Zaal
Sjoukje Zaal
Sjoukje Zaal Sjoukje Zaal
Author Profile Icon Sjoukje Zaal
Sjoukje Zaal
Amit Malik Amit Malik
Author Profile Icon Amit Malik
Amit Malik
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Toc

Table of Contents (17) Chapters Close

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 16. Other Books You May Enjoy

Using container jobs in Azure Pipelines

In this chapter, we saw that when you create a pipeline, you define jobs, and that when the pipeline is executed, these jobs runs on the host machine where the agent is installed.

If you're using Windows or Linux agents, you can also run a job inside a container (in an isolated way from the host). To run a job inside a container, you need to have Docker installed on the agent and your pipeline must have permission to access the Docker daemon. If you're using Microsoft-hosted agents, running jobs in containers is actually supported on the windows-2019 and ubuntu-16.04 pool images.

As an example, this is a YAML definition for using a container job in a Windows pipeline:

pool:
  vmImage: 'windows-2019'
container: mcr.microsoft.com/windows/servercore:ltsc2019
steps:
- script: date /t
  displayName: Gets the current date
- script: dir  
  workingDirectory: $(Agent.BuildiDirectory...
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