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Automating DevOps with GitLab CI/CD Pipelines

You're reading from  Automating DevOps with GitLab CI/CD Pipelines

Product type Book
Published in Feb 2023
Publisher Packt
ISBN-13 9781803233000
Pages 348 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Christopher Cowell Christopher Cowell
Profile icon Christopher Cowell
Nicholas Lotz Nicholas Lotz
Profile icon Nicholas Lotz
Chris Timberlake Chris Timberlake
Profile icon Chris Timberlake
View More author details

Table of Contents (18) Chapters

Preface 1. Part 1 Getting Started with DevOps, Git, and GitLab
2. Chapter 1: Understanding Life Before DevOps 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

Defining the terms pipeline, CI, and CD

Since much of the power of GitLab comes from configuring CI/CD pipelines to do various things to and with your code, it’s critical to understand what a pipeline even is. So, an obvious place to start a discussion of this topic is to figure out exactly what we mean by pipeline, CI, and CD. We won’t start creating pipelines yet—that will come in a later chapter.

Understanding what a pipeline is

A GitLab CI/CD pipeline is a series of steps that are performed on your files whenever you commit edits to the GitLab-hosted copy of a repository. A lot is going on in that sentence, so let’s take a more careful look at each part of it.

What do we mean by “a series of steps”? You can think of these steps as tasks that are performed on your files. For example, you may want to run various tests or scanners on your files to make sure your code is well-written, is free from security vulnerabilities, uses appropriately...

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