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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
Tools
Concepts
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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
Author Profile Icon Christopher Cowell
Christopher Cowell
Nicholas Lotz Nicholas Lotz
Author Profile Icon Nicholas Lotz
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

Summary

Now that you have a good grasp of the purpose and structure of GitLab CI/CD pipelines, let’s review the concepts we covered in this chapter.

Pipelines are a series of steps that are performed against code in your project’s Git repository. Each project has just one pipeline, although the various steps that make up a project’s pipeline can be run or suppressed, depending on which Git branch or Git tag the pipeline is running against. The term “pipeline” is sometimes used to mean the overall set of tasks that will be run on a project’s code, while other times, it’s used to mean a single instance or run of that pipeline against a particular version of the repository’s files.

The CI, or continuous integration, portion of a pipeline answers the question, is the code good? It typically consists of some combination of automated tests, security scans, license compliance checks, and code quality checks. The CI steps of a pipeline...

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