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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

Automating the deployment

As we discussed in our design, our solution is made up of two application components: the frontend and the backend. Each has a code base of application code and operating system configuration encapsulated within a Packer template. These two application components are then deployed into a cloud environment on Azure that is defined within our Terraform code base.

Just as we did in Chapters 7 and 8 with the AWS and Azure solutions, there is an additional code base that we have to discuss: our automation pipelines on GitHub Actions.

In Chapter 7, we went over the folder structure for our code base and where our GitHub Actions fit in so that we know that our automation pipelines are called workflows, and they’re stored in /.github/workflows. Each of our code bases is stored in its respective folder. Our solutions source code repository’s folder structure will look like this:

  • .github
    • workflows
    • dotnet
      • backend
      • frontend
    • packer
      • backend
      • frontend
    • terraform...
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