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Azure DevOps Explained

You're reading from  Azure DevOps Explained

Product type Book
Published in Dec 2020
Publisher Packt
ISBN-13 9781800563513
Pages 438 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Sjoukje Zaal Sjoukje Zaal
Profile icon Sjoukje Zaal
Stefano Demiliani Stefano Demiliani
Profile icon Stefano Demiliani
Amit Malik Amit Malik
Profile icon 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 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

Summary

In this chapter, we provided an overview of the Azure Pipelines service and we saw how to implement a CI/CD process by using Azure DevOps. We also saw how to create a pipeline for code hosted in a repository by using the graphical interface and by using YAML, as well as how to use and create build agents. We then looked at how to create a build pipeline by using the classic editor and by using a YAML definition. We also saw an example of a multi-stage pipeline and how to use Azure DevOps pipelines to build code inside a GitHub repository, before looking at how to use parallel tasks in a build pipeline to improve build performance. Finally, we learned how to create a build agent on Azure Container Instances and how to use a container's jobs.

In the next chapter, we'll learn how to execute quality tests for our code base in a build pipeline.

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