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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

When and how to leverage caching or artifacts

With GitLab, there is often confusion about the usage of caching or artifacts. Many users are curious as to which functionality to leverage and when. We aim to demystify both in this chapter and give you the tools to implement either approach while explaining the benefits and pitfalls of each pattern.

Caching should be thought of as a method to save items that are commonly used in CI jobs or stages. It shouldn’t be thought of as a means to pass items between stages or jobs – that’s what artifacts are for. The difference is important because of the implementation and configuration of each. A cache is not built or designed to be a method to move items between CI jobs. Because of this, in the future, any features or changes that are made to it will be tailored toward that functionality.

Artifacts are the main way to support storing items created by your CI job indefinitely, as well as passing them as a dependency...

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