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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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 consisting of application code and an operating system configuration encapsulated within a Packer template. These two application components are then deployed into a cloud environment on AWS, which is defined within our Terraform code base.

There is an additional code base that we have yet to discuss: our automation pipelines. We will be implementing our automation pipelines using GitHub Actions:

Figure 7.21 – Source code structure within our GitHub repository

In GitHub Actions, automation pipelines are called workflows and they are stored in a particular folder within the source code repository, namely /.github/workflows. Each of our code bases is stored in a separate folder. Our solutions source code repository’s folder structure looks like this: