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

Using image compression

When building multiple images across a hybrid or multi-cloud enterprise, storage requirements can add up rapidly. In the cloud, this is apparent in storage costs, depending on how your images are stored. Global storage image buckets may be priced higher than regional storage. Different classes of storage such as SSD, standard, nearline, coldline, and archive can dramatically affect monthly cloud storage operating costs. Depending on your lifecycle and retention requirements, image storage can become a significant cost problem when storing multiple generations of images over time. Note that container images have largely minimized the problem of storage by dynamically mixing layers that are shared within a registry. Here, we are speaking solely about bootable system images.

The good news is that whether you are local or in the cloud, your images can be compressed and archived to save history while minimizing storage costs. Also, if your local system images...