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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
Author Profile Icon David Dorbin
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

Customizing your build workers

By default, Cloud Build runs its builds in a Google-managed hosted environment with access to the public internet. The builds are executed as Linux containers on workers that are virtual machines (VMs) allocated for that specific build. At the time of writing, Cloud Build uses an e2-standard-2 machine with 2 vCPUs and 8 GB memory as the default worker.

In the sections that follow, we’ll show you how to choose a custom machine type for your build workers and how to use private worker pools.

Custom machine types

You can customize the machine type using the machineType option in the build config file. At the time of writing, in addition to the default machine type, you can select one of the additional high-CPU machine types listed on the page available here: https://cloud.google.com/build/docs/api/reference/rest/v1/projects.builds#machinetype.

Custom machine types have more CPU power, but they take longer to provision compared to the default...

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