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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
7
Part 2: Completing the Picture: Provisioning Infrastructure on Google Cloud
11
Part 3: Wrapping It Up: Integrating Terraform with Google Cloud

Provisioning a GKE cluster using the public module

The Terraform kubernetes-engine module – https://registry.terraform.io/modules/terraform-google-modules/kubernetes-engine/google/latest – is one of the more comprehensive (complex) Google Cloud Terraform modules. Our architecture calls for a zonal GKE cluster with a single configurable node pool for development and an equivalent but regional cluster for production. Thus, we start with the example in the README and modify it as per our needs. First, we remove features we don’t require, such as node pool labels and metadata. Next, we parameterize several attributes that differ depending on the environment. This includes the network and the configuration of the nodes in the node pool. We also include a Boolean variable, which indicates whether the cluster is a zonal or a regional cluster.

Finally, we set several fixed attributes that remain constant regardless of the environment in which the cluster is deployed...

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