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Terraform for Google Cloud Essential Guide

You're reading from   Terraform for Google Cloud Essential Guide Learn how to provision infrastructure in Google Cloud securely and efficiently

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781804619629
Length 180 pages
Edition 1st Edition
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Author (1):
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Bernd Nordhausen Bernd Nordhausen
Author Profile Icon Bernd Nordhausen
Bernd Nordhausen
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Getting Started: Learning the Fundamentals
2. Chapter 1: Getting Started with Terraform on Google Cloud FREE CHAPTER 3. Chapter 2: Exploring Terraform 4. Chapter 3: Writing Efficient Terraform Code 5. Chapter 4: Writing Reusable Code Using Modules 6. Chapter 5: Managing Environments 7. Part 2: Completing the Picture: Provisioning Infrastructure on Google Cloud
8. Chapter 6: Deploying a Traditional Three-Tier Architecture 9. Chapter 7: Deploying a Cloud-Native Architecture Using Cloud Run 10. Chapter 8: Deploying GKE Using Public Modules 11. Part 3: Wrapping It Up: Integrating Terraform with Google Cloud
12. Chapter 9: Developing Terraform Code Efficiently 13. Chapter 10: Google Cloud Integration 14. Index 15. Other Books You May Enjoy

Summary

In this chapter, we learned how to utilize public modules. Public modules can help us create complex systems more rapidly than building them from scratch. Public modules are also an excellent resource for learning Terraform language tricks. All public modules reside in GitHub repositories and are free to explore.

Furthermore, we used workspaces to create two independent environments by writing two separate variable definition files and creating two workspaces. Creating a third environment is as easy as creating a new variable definitions file and workspace and running Terraform in that workspace. That is the power of Terraform.

Now that we have demonstrated different approaches to provision three very different architectures, we will introduce some tools to help us develop Terraform code more efficiently. Before we go on, be sure to delete the GKE clusters, as they incur considerable costs due to the number of VMs provisioned.

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