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Mastering GitHub Actions

You're reading from   Mastering GitHub Actions Advance your automation skills with the latest techniques for software integration and deployment

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781805128625
Length 490 pages
Edition 1st Edition
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Author (1):
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Eric Chapman Eric Chapman
Author Profile Icon Eric Chapman
Eric Chapman
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Table of Contents (22) Chapters Close

Preface 1. Part 1:Centralized Workflows to Assist with Governance FREE CHAPTER
2. Chapter 1: An Overview of GitHub and GitHub Actions 3. Chapter 2: Exploring Workflows 4. Chapter 3: Deep Dive into Reusable Workflows and Composite Actions 5. Chapter 4: Workflow Personalization Using GitHub Apps 6. Chapter 5: Utilizing Starter Workflows in Your Team 7. Part 2: Implementing Advanced Patterns within Actions
8. Chapter 6: Using HashiCorp Vault in GitHub 9. Chapter 7: Deploying to Azure Using OpenID Connect 10. Chapter 8: Working with Checks 11. Chapter 9: Annotating Code with Actions 12. Chapter 10: Advancing with Event-Driven Workflows 13. Chapter 11: Setting Up Self-Hosted Runners 14. Part 3: Best Practices, Patterns, Tricks, and Tips Toolkit
15. Chapter 12: The Crawler Pattern 16. Chapter 13: The Configuration Centralization Pattern 17. Chapter 14: Using Remote Workflows to Kickstart Your Products 18. Chapter 15: Housekeeping Tips for Your Organization 19. Chapter 16: Handy Workflows for Managing Your Software 20. Index 21. Other Books You May Enjoy

Exploring workflow jobs

In this section, we’ll explore how you can use containers and services to run jobs in your GitHub Actions workflows. This powerful feature allows you to control the environment in which your jobs run and can be incredibly useful when your jobs have specific dependencies. But before we do this, let’s take a look at how jobs work.

Understanding how jobs work

In GitHub Actions, a workflow run is made up of one or more jobs. Jobs are defined in the workflow file and represent the tasks the workflow will perform. Each job runs in an environment specified by runs-on. Here’s a high-level look at how jobs work:

  • Run on a virtual host: Each job runs on a fresh instance of the virtual environment specified by runs-on. This could be GitHub-hosted runners, such as ubuntu-latest, windows-latest, and macos-latest, or self-hosted runners.
  • Run in parallel: By default, jobs run in parallel. If you need jobs to run sequentially, you can define...
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