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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

Using HCP ancestry

We have discussed the concept of image hierarchy and ancestry for parent/child image relationships, but we haven’t discussed how to use it. If one image serves as a base image for a hierarchy of application images, then you can retire or deprecate them all at the same time by deprecating the ancestor’s channel. The way to do this is to create another template, using the hcp-packer-image data source, to look up another AMI ID to extend with further images. We will create an example where we extend the latest Amazon Linux image used in the sample template: https://github.com/PacktPublishing/HashiCorp-Packer-in-Production/tree/main/Chapter10.

We will select the development channel of al-latest but add GPU support using NVIDIA’s latest drivers, tuning the environment for 3D render farm operations. The end result is to look up the current AMI ID for our region. Specifying the minimal fields for bucket_name, channel, and region would be enough,...

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