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)
1
Part 1: Packer’s Beginnings
7
Part 2: Managing Large Environments
11
Part 3: Advanced Customized Packer

Summary

In this chapter, we explored some tools that can be used for image lifecycle management and complex builds. The manifest post-processor can be used to capture metadata locally in a simple JSON document. The tools used here are simple and have no outside requirements or dependencies besides your own environment. The sample code repository for this chapter extends previous chapters with examples that now can export build manifests and also system image provisioners to enable dumping system profiles or system scan outputs. It is up to the user to build a workflow or way to consume the output of Packer, which, importantly, includes the manifest output in JSON format.

In the next chapter, we will use HCP Packer for this. HCP Packer serves as a central database for collaborative Packer metadata storage and automatic lifecycle management.