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Mastering Terraform

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

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835086018
Length 494 pages
Edition 1st Edition
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Author (1):
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Mark Tinderholt Mark Tinderholt
Author Profile Icon Mark Tinderholt
Mark Tinderholt
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Toc

Table of Contents (27) Chapters Close

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 26. Other Books You May Enjoy

Designing the solution

Due to the tight timelines the team is facing, we want to keep the cloud architecture simple. Therefore, we’ll be keeping it simple and using Google Cloud services that will allow us to provision using familiar VM technologies as opposed to trying to learn something new. The first decision we have to make is what Google Cloud service each component of our logical architecture will be hosted on.

Our application architecture consists of three components: a frontend, a backend, and a database. The frontend and backend are application components and need to be hosted on a cloud service that provides general computing, while the database needs to be hosted on a cloud database service. There are many options for both types of services:

Figure 13.2 – Logical architecture for the autonomous vehicle platform and the hosts

Figure 13.2 – Logical architecture for the autonomous vehicle platform and the hosts

Since we have decided we’re going to use VMs to host our application, we have narrowed down the...

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