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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

Who uses Packer?

Packer is a purely open source tool for HashiCorp but that doesn’t mean that enterprise customers don’t use it. Packer is used to build images in private networks and public clouds around the world, covering many industries from investment banking to universities and students. Individuals and small teams often use Packer to maintain a set of disposable system images for mixed estates, including Mac, Windows, Linux, and serverless cloud applications. Large teams and organizations may use automation or continuous deployment pipelines for Packer to rebuild a set of images when certain events or edits occur. The beauty of Packer is it behaves the same whether it is running in a multi-cloud Fortune 500 firm or running on a laptop in a coffee shop. You can even run Packer on a low-power commodity ARM device such as Raspberry Pi. The difference between a coffee shop laptop and an enterprise deployment really comes down to security and best practices, which we’ll cover in Chapters 6-8.

The open source community has a great variety of sample templates, so you usually don’t need to start one from scratch. Search the Packer documentation page for samples, as well as GitHub. Unlike Vagrant, which has a public registry of source images, Packer requires the user to provide base images.

Terraform users find Packer valuable for any projects that use VM deployments in a hybrid cloud environment. Properly prepared images will dramatically ease VM provisioning with Terraform. More importantly, cloud-native tooling that may provision instances dynamically, such as autoscale groups or failover routines, will not inform Terraform about their activity. Having a proper VM autoscale group deployed with Terraform still requires a standard image for the cloud to scale.

You have been reading a chapter from
HashiCorp Packer in Production
Published in: Jul 2023
Publisher: Packt
ISBN-13: 9781803246857
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