You're reading from Mastering Terraform A practical guide to building and deploying infrastructure on AWS, Azure, and GCP

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781835086018

Length 494 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Containerization

Author (1):

Mark Tinderholt

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Table of Contents (27) Chapters

Preface

1. Part 1: Foundations of Terraform FREE CHAPTER

2. Chapter 1: Understanding Terraform Architecture

3. Chapter 2: Using HashiCorp Configuration Language

4. Chapter 3: Harnessing HashiCorp Utility Providers

5. Part 2: Concepts of Cloud Architecture and Automation

6. Chapter 4: Foundations of Cloud Architecture – Virtual Machines and Infrastructure-as-a-Services

7. Chapter 5: Beyond VMs – Core Concepts of Containers and Kubernetes

8. Chapter 6: Connecting It All Together – GitFlow, GitOps, and CI/CD

9. Part 3: Building Solutions on AWS

10. Chapter 7: Getting Started on AWS – Building Solutions with AWS EC2

11. Chapter 8: Containerize with AWS – Building Solutions with AWS EKS

12. Chapter 9: Go Serverless with AWS – Building Solutions with AWS Lambda

13. Part 4: Building Solutions on Azure

14. Chapter 10: Getting Started on Azure – Building Solutions with Azure Virtual Machines

15. Chapter 11: Containerize on Azure – Building Solutions with Azure Kubernetes Service

16. Chapter 12: Go Serverless on Azure – Building Solutions with Azure Functions

17. Part 5: Building Solutions on Google Cloud

18. Chapter 13: Getting Started on Google Cloud – Building Solutions with GCE

19. Chapter 14: Containerize on Google Cloud – Building Solutions with GKE

20. Chapter 15: Go Serverless on Google Cloud – Building Solutions with Google Cloud Functions

21. Part 6: Day 2 Operations and Beyond

22. Chapter 16: Already Provisioned? Strategies for Importing Existing Environments

23. Chapter 17: Managing Production Environments with Terraform

24. Chapter 18: Looking Ahead – Certification, Emerging Trends, and Next Steps

25. Index

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Getting Started on Google Cloud – Building Solutions with GCE

You’ve made it. After the previous six chapters, where we used two different cloud platforms and three different cloud computing paradigms to build six distinct solutions, we are finally ready to take our final journey by adapting our solution to Google Cloud Platform (GCP).

Like the last two adventures, in this alternate universe, we will be starting our journey by building our solution with a virtual machine (VM) architecture on Google Cloud. As we saw when we transitioned between AWS and Azure when we compared how the same solution architecture was built on the two different cloud platforms, some things changed a lot, while many things changed only a tiny bit – or not at all. We observed that our Terraform code changed pretty consistently across all chapters. However, other things, such as Packer, Docker, and GitHub Actions workflows, only changed slightly. Our .NET-based application code didn...