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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
Author Profile Icon Giovanni Galloro
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

Continuously deploying and testing a Kubernetes app remotely while you code

Follow these steps to see the results of your work while you write code:

  1. Click Cloud Code in the status bar and then select Run on Kubernetes.
  2. When prompted, click Use current context. This should be the context of your newly created GKE cluster:
Figure 3.13 – Selecting the Kubernetes context

Figure 3.13 – Selecting the Kubernetes context

  1. In Choose Image Repository, type the path of the Artifact Registry repository you created:
Figure 3.14 – Choose Image Repository

Figure 3.14 – Choose Image Repository

This will be us-central1-docker.pkg.dev/PROJECT_ID/scdbook-repo, where PROJECT_ID is your Google Cloud project ID:

Figure 3.15 – Repository address

Figure 3.15 – Repository address

The build starts and the application is deployed to the GKE cluster you created. For a newly created GKE Autopilot cluster, this could take a couple of minutes while Autopilot allocates the needed resources.

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