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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

Developing Packer Plugins

In the previous chapter, we covered basic automation for Packer builds. Up until now, most of Packer’s existing builder use cases should be familiar, but what about the functionalities Packer lacks? Since Packer is open source, you could fork and edit the code base, but it’s much easier to write a plugin. HashiCorp’s projects use Go and Remote Procedure Call (RPC) for plugin development, which allows plugins to be developed as standalone Go binaries or to be built into the project itself. Plugins come in four flavors: builders, provisioners, post-processors, and data sources. Each function is defined by an interface that must be implemented. Packer makes this easy to do by providing templates. We’ll explore the templates by implementing two plugins in this chapter. First, we’ll implement a basic data source and then a more complex builder. Before any of that, we will cover the basics of Go in the context of Packer. This is...

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