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Secure Continuous Delivery on Google Cloud

You're reading from   Secure Continuous Delivery on Google Cloud Implement an automated and secure software delivery pipeline on Google Cloud using native services

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805129288
Length 304 pages
Edition 1st Edition
Languages
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Authors (3):
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Nathaniel Avery Nathaniel Avery
Author Profile Icon Nathaniel Avery
Nathaniel Avery
David Dorbin David Dorbin
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David Dorbin
Giovanni Galloro Giovanni Galloro
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Giovanni Galloro
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1:Introduction and Code Your Application
2. Chapter 1: Introducing Continuous Delivery and Software Supply Chain Security FREE CHAPTER 3. Chapter 2: Using Skaffold for Development, Build, and Deploy 4. Chapter 3: Developing and Testing with Cloud Code 5. Chapter 4: Securing Your Code with Cloud Workstations 6. Part 2: Build and Package Your Application
7. Chapter 5: Automating Continuous Integration with Cloud Build 8. Chapter 6: Securely Store Your Software on Artifact Registry 9. Part 3: Deploy and Run Your Application
10. Chapter 7: Exploring Runtimes – GKE, GKE Enterprise, and Cloud Run 11. Chapter 8: Automating Software Delivery Using Cloud Deploy 12. Chapter 9: Securing Your Runtimes with Binary Authorization 13. Part 4: Hands-On Secure Pipeline Delivery and Looking Forward
14. Chapter 10: Demonstrating an End-to-End Software Delivery Pipeline 15. Chapter 11: Integrating with Your Organization’s Workflows 16. Chapter 12: Diving into Best Practices and Trends in Continuous Delivery 17. Index 18. Other Books You May Enjoy

Using a deployment strategy

Cloud Deploy supports two deployment strategies for GKE, Cloud Run, and GKE Enterprise:

  • Standard: This is the default strategy. It deploys the new or changed application into the target runtime, fully replacing any previous version.
  • Canary: This strategy incrementally deploys the changed application into the target runtime, gradually replacing the old version with the new one by configured percentages. This can be by the percentage of traffic or by the percentage of GKE pods.

In this section, we’ll configure and run a simple canary that replaces the old version with the new, first by 50%, then fully. The manifest we created at the beginning of this chapter specifies four replicas. The first phase of this canary will split them so that two replicas are running the old version and two are running the new version. Then, the last phase (which is always the stable phase) will deploy the new version to all four replicas.

Configuring...

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