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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

In this section, we will look at the overall design of our solution given the shift from virtual machine- and container-based architectures toward serverless architectures. As we saw in previous transformations, serverless at its core has the quintessential objective of eliminating heavy infrastructure from the stack. Therefore, we will be looking for ways to shed any Google Cloud services that require significant fixed costs, such as virtual machines or Kubernetes clusters, and replace them with serverless options. This change in our operational context and our technology landscape will likely require us to rethink some things about our solution, including its design, implementation, and deployment strategy:

Figure 15.1 – The logical architecture for the autonomous vehicle platform

Figure 15.1 – The logical architecture for the autonomous vehicle platform

While our application’s architecture doesn’t change significantly, we will use different Google Cloud services to host it. In this...

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