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HashiCorp Packer in Production

HashiCorp Packer in Production

By : John Boero
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HashiCorp Packer in Production

HashiCorp Packer in Production

5 (4)
By: John Boero

Overview of this book

Creating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers. The book begins by showing you how to create your first manifest while helping you understand the available components. You’ll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You’ll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you’ll build on your initial manifest for a local application that’ll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you’ll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins. By the end of this book, you’ll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration.
Table of Contents (18 chapters)
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1
Part 1: Packer’s Beginnings
7
Part 2: Managing Large Environments
11
Part 3: Advanced Customized Packer

Building an Image Hierarchy

In the previous chapter, we covered the bulk of Packer’s cloud plugins and builders and how they function in general behind the scenes. We also added some additional build sources to our single flat template. By now, it should be apparent how managing all resources through a single file can be difficult to manage, particularly when you’re building application images on top of your base images in sequential order. As Packer has no state management, how can you manage which images must be rebuilt and which may be skipped? How can we minimize wasted Packer runs and maximize code reuse? These are questions we will answer in this chapter.

In this chapter, we will cover some strategies for managing the workflow and hierarchy for your images. We will start fresh with a new series of templates and focus on some sample applications instead of the builders and platforms. We will do everything manually but design a process that is well prepared for...

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