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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
Author Profile Icon Christopher Cowell
Christopher Cowell
Nicholas Lotz Nicholas Lotz
Author Profile Icon Nicholas Lotz
Nicholas Lotz
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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

Integrating outside security scanners

Many teams are committed to using one or more security scanners that are not part of GitLab’s security offering. Never fear – it’s usually possible to integrate outside scanners into your GitLab CI/CD pipelines.

Integration has two parts. First, you need to tell your pipeline to trigger the outside scanner. This is easy, so long as your scanner comes packaged in a Docker image and can be run from the command line:

  1. Create a new pipeline job in the test stage (unless there’s a reason to run it elsewhere).
  2. Use the images keyword in the job definition to specify the location of the Docker image that contains the scanner you’d like to add to your pipeline.
  3. In the script section of the job definition, trigger the scanner using whatever CLI command you use when you run it manually. You might need to pass some options to the CLI command to control where it generates its results file, and what format...
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