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Terraform for Google Cloud Essential Guide

Terraform for Google Cloud Essential Guide

By : Bernd Nordhausen
4.7 (11)
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Terraform for Google Cloud Essential Guide

Terraform for Google Cloud Essential Guide

4.7 (11)
By: Bernd Nordhausen

Overview of this book

Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud. This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you’ll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you’ll also be able to improve your Terraform workflow using Google Cloud native and third-party tools. By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely.
Table of Contents (16 chapters)
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1
Part 1: Getting Started: Learning the Fundamentals
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7
Part 2: Completing the Picture: Provisioning Infrastructure on Google Cloud
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11
Part 3: Wrapping It Up: Integrating Terraform with Google Cloud
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Chapter 9: Developing Terraform Code Efficiently
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Index
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Managing Terraform at scale

Before we conclude this chapter, let us look at another aspect of state files. So far, our Terraform files have been manageable as we deployed only a few resources simultaneously. However, even a medium-complexity architecture requires dozens or hundreds of interdependent resources. Using modules, we can reduce this complexity of the Terraform code, but we will still provision many cloud resources with many dependencies. Furthermore, as our use of Terraform grows, we will have teams of several members developing Terraform code simultaneously. Then, managing all resources in a single state file becomes challenging. For example, the team member responsible for the networking might want to change just when another team member is running Terraform to add a virtual machine and hence is prevented from running Terraform simultaneously. Or, the database team wants to use a new feature in the latest provider version that the networking team hasn’t been able...

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