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HashiCorp Packer in Production

You're reading from   HashiCorp Packer in Production Efficiently manage sets of images for your digital transformation or cloud adoption journey

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781803246857
Length 190 pages
Edition 1st Edition
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Author (1):
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John Boero John Boero
Author Profile Icon John Boero
John Boero
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Packer’s Beginnings
2. Chapter 1: Packer Fundamentals FREE CHAPTER 3. Chapter 2: Creating Your First Template 4. Chapter 3: Configuring Builders and Sources 5. Chapter 4: The Power of Provisioners 6. Chapter 5: Logging and Troubleshooting 7. Part 2: Managing Large Environments
8. Chapter 6: Working with Builders 9. Chapter 7: Building an Image Hierarchy 10. Chapter 8: Scaling Large Builds 11. Part 3: Advanced Customized Packer
12. Chapter 9: Managing the Image Lifecycle 13. Chapter 10: Using HCP Packer 14. Chapter 11: Automating Packer Builds 15. Chapter 12: Developing Packer Plugins 16. Index 17. Other Books You May Enjoy

Adding an AWS EC2 AMI build

If you don’t have a development vSphere instance lying around, never fear. We’ll cover cloud instances now, which are readily available to anyone. To develop these templates, I’m actually using sandbox environments from a third-party learning platform called Instruqt that HashiCorp uses for learning. If you need an isolated short-lived cloud account or just don’t want to risk racking up a large cloud bill, there are a variety of tools and options like this, but Instruqt is preferred, as it uses HashiCorp Terraform in its backend and can give the user simultaneous cloud accounts across AWS, Azure, and GCP for a preset time. Once development templates have been perfected, they can be pushed to production or a lifecycle managed by HCP Packer, which we’ll cover in Chapter 9, Managing the Image Lifecycle.

AWS has an extensive API to manage images and AMI libraries. For workloads that aren’t ready to go cloud-native...

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