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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
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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

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In the last decade or so, the phrase “treat hardware as cattle, not pets” has been used to describe a new approach to managing computers. By thinking of hardware as a fungible commodity rather than a collection of special snowflakes, development and operations teams are liberated from carefully configuring and maintaining the computers they use to host deployment environments, run databases, serve web applications, or do any of the countless other tasks involved with developing and deploying software. By using so-called IaC tools such as Ansible or Terraform to configure and maintain the configuration state on hardware (whether real or virtual, local or cloud-based), system administrators can adjust server capacity, create new environments, or experiment with hardware configurations without worrying about how difficult it will be to revert their systems if something goes wrong or an experiment fails...

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