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Mastering GitHub Actions

You're reading from  Mastering GitHub Actions

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781805128625
Pages 490 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Eric Chapman Eric Chapman
Profile icon Eric Chapman

Table of Contents (22) Chapters

Preface 1. Part 1:Centralized Workflows to Assist with Governance
2. Chapter 1: An Overview of GitHub and GitHub Actions 3. Chapter 2: Exploring Workflows 4. Chapter 3: Deep Dive into Reusable Workflows and Composite Actions 5. Chapter 4: Workflow Personalization Using GitHub Apps 6. Chapter 5: Utilizing Starter Workflows in Your Team 7. Part 2: Implementing Advanced Patterns within Actions
8. Chapter 6: Using HashiCorp Vault in GitHub 9. Chapter 7: Deploying to Azure Using OpenID Connect 10. Chapter 8: Working with Checks 11. Chapter 9: Annotating Code with Actions 12. Chapter 10: Advancing with Event-Driven Workflows 13. Chapter 11: Setting Up Self-Hosted Runners 14. Part 3: Best Practices, Patterns, Tricks, and Tips Toolkit
15. Chapter 12: The Crawler Pattern 16. Chapter 13: The Configuration Centralization Pattern 17. Chapter 14: Using Remote Workflows to Kickstart Your Products 18. Chapter 15: Housekeeping Tips for Your Organization 19. Chapter 16: Handy Workflows for Managing Your Software 20. Index 21. Other Books You May Enjoy

Exploring ARC

The rise of Kubernetes has influenced various CI/CD tools to integrate with its powerful orchestration capabilities. The GitHub ARC is an evolution in this direction, enabling users to deploy GitHub Actions runners on Kubernetes clusters.

This offers better scalability and harnesses Kubernetes’ inherent resiliency and management features. Some of the benefits of taking this route are as follows:

  • Efficiency: Rather than over-provisioning to handle peak loads, runners can be dynamically scaled, ensuring resources are used efficiently.
  • Resiliency: ARC takes advantage of Kubernetes’ self-healing features. If a runner crashes, Kubernetes ensures another is spawned to maintain the desired count.
  • Uniformity: You ensure consistency across deployments by defining runner specifications as Kubernetes manifests. It’s clearer to manage, version, and replicate.
  • Cost savings: Dynamic scaling means you only use resources when you need them...
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