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Automating DevOps with GitLab CI/CD Pipelines

You're reading from   Automating DevOps with GitLab CI/CD Pipelines Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781803233000
Length 348 pages
Edition 1st Edition
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Authors (3):
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Chris Timberlake Chris Timberlake
Author Profile Icon Chris Timberlake
Chris Timberlake
Christopher Cowell Christopher Cowell
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Christopher Cowell
Nicholas Lotz Nicholas Lotz
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Nicholas Lotz
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1 Getting Started with DevOps, Git, and GitLab
2. Chapter 1: Understanding Life Before DevOps FREE CHAPTER 3. Chapter 2: Practicing Basic Git Commands 4. Chapter 3: Understanding GitLab Components 5. Chapter 4: Understanding GitLab’s CI/CD Pipeline Structure 6. Part 2 Automating DevOps Stages with GitLab CI/CD Pipelines
7. Chapter 5: Installing and Configuring GitLab Runners 8. Chapter 6: Verifying Your Code 9. Chapter 7: Securing Your Code 10. Chapter 8: Packaging and Deploying Code 11. Part 3 Next Steps for Improving Your Applications with GitLab
12. Chapter 9: Enhancing the Speed and Maintainability of CI/CD Pipelines 13. Chapter 10: Extending the Reach of CI/CD Pipelines 14. Chapter 11: End-to-End Example 15. Chapter 12: Troubleshooting and the Road Ahead with GitLab 16. Index 17. Other Books You May Enjoy

Configuring GitLab CI/CD pipelines

We’ve mentioned that you can configure your project’s CI/CD pipeline to define its stages, jobs, and commands. But how do you do that? All CI/CD pipeline configuration happens within a file called .gitlab-ci.yml, which lives in the root of your project’s repository. Look through any public GitLab project, and you’re sure to see a file with that name that determines what happens in that project’s pipeline.

Every .gitlab-ci.yml file uses a domain-specific language that consists of keywords, values, and some syntactical glue. Some keywords define stages and jobs within those stages. Other keywords configure jobs to do different things within the pipeline. Still, other keywords set variables, specify Docker images for jobs, or affect the overall pipeline in various ways. This domain-specific language is rich enough to let you do just about anything you’d like in your CI/CD pipelines, but not so rich as to be...

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