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

Adding an AWS EC2 AMI build

If you don’t have a development vSphere instance lying around, never fear. We’ll cover cloud instances now, which are readily available to anyone. To develop these templates, I’m actually using sandbox environments from a third-party learning platform called Instruqt that HashiCorp uses for learning. If you need an isolated short-lived cloud account or just don’t want to risk racking up a large cloud bill, there are a variety of tools and options like this, but Instruqt is preferred, as it uses HashiCorp Terraform in its backend and can give the user simultaneous cloud accounts across AWS, Azure, and GCP for a preset time. Once development templates have been perfected, they can be pushed to production or a lifecycle managed by HCP Packer, which we’ll cover in Chapter 9, Managing the Image Lifecycle.

AWS has an extensive API to manage images and AMI libraries. For workloads that aren’t ready to go cloud-native...