Book Image

HashiCorp Packer in Production

By : John Boero
Book Image

HashiCorp Packer in Production

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)
Part 1: Packer’s Beginnings
Part 2: Managing Large Environments
Part 3: Advanced Customized Packer

Technical requirements

In this chapter, we will make use of the HCP SaaS platform, which will require a free account to follow the examples. We will discuss paid features also, which can be tested with a free trial from HashiCorp if you don’t have the budget for paid support. The sample code for this chapter also uses features recently added to Packer, so make sure to use the latest versions of Packer and also the latest AWS plugin. If an older version of the plugins is cached in your home directory, it may be wise to move or delete any old versions from $PACKER_HOME_DIR/.packer.d, which defaults to $HOME/.packer.d. Otherwise, we will show how to upgrade providers with packer init –upgrade.

The sample code for this chapter uses the Amazon plugin, which can be browsed at the GitHub repo here:

Documentation for HCP Packer and the API are located here. Make sure to check the latest documentation: https://developer...