Automating Image Creation with HashiCorp Packer for DevOps

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

10 hours 50 minutes
Sessions

On-Demand
Subtitles

English

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Overview

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Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of HashiCorp Packer to automate image creation for cloud and on-prem environments. This course provides a deep dive into Packer's architecture, installation, and workflow, giving you hands-on experience in building, configuring, and optimizing machine images across AWS, Azure, Google Cloud, and VMware. You'll start with the core concepts of Packer, including templates, command-line usage, and workflow automation. Then, you'll explore builders, variables, provisioners, and post-processors, understanding how Packer integrates seamlessly with modern DevOps workflows. You'll gain practical experience through hands-on labs that demonstrate building multi-cloud, multi-region, and OS-specific images. The course also covers advanced integrations with Terraform, Ansible, Vault, and GitLab CI/CD, showcasing how Packer fits into a broader DevOps pipeline. You'll also dive into troubleshooting techniques like debugging and breakpoints, ensuring you can resolve issues efficiently. Ideal for DevOps engineers, cloud architects, and system administrators, this course assumes basic familiarity with infrastructure as code (IaC) concepts, cloud platforms, and command-line usage. Whether you're new to Packer or looking to refine your skills, this course will elevate your automation expertise.

Syllabus

Course Introduction

In this module, we will introduce HashiCorp Packer, discussing its core functionalities, advantages, and potential drawbacks. You will gain an overview of the topics covered throughout the course and learn about other HashiCorp products that integrate with Packer.

Introduction to HashiCorp Packer

In this module, we will explore HashiCorp Packer, its significance in modern cloud and containerized environments, and how organizations leverage it for efficient infrastructure management. We will cover its installation, core components, command-line usage, and workflow, with hands-on demonstrations for real-world application.

Writing Packer Templates

In this module, we will dive into writing Packer templates using HashiCorp Configuration Language (HCL). We will explore the structure of Packer templates, migrate JSON templates to HCL2, and work with Packer's core components. Through hands-on labs, you'll gain practical experience in building and validating your own Packer templates.

Builders

In this module, we will explore Packer builders, which are responsible for creating machine images. We will cover various builder types, including AWS, Azure, Google Cloud, and VMware, with hands-on demonstrations for each. Additionally, we will extend our knowledge by building images for different operating systems and deploying them across multiple clouds and regions.

Variables

In this module, we will explore the use of variables in Packer to make templates more dynamic and reusable. We will cover how to declare and use variables, work with environment variables, and integrate them into Packer templates. Through hands-on labs, you will practice creating flexible configurations using variables.

Provisioners

In this module, we will explore Packer provisioners, which automate software installation and configuration on machine images. We will examine different provisioner types, their features, and how to control their execution. Through hands-on labs, you will integrate provisioners into your Packer templates to build fully configured images.

Post-Processors

In this module, we will explore post-processors in Packer, which allow additional modifications and automation after an image is built. We will cover different types of post-processors, including Docker import, Vagrant export, and Amazon AMI registration. Through hands-on practice, you will learn how to integrate post-processors into your Packer workflows.

Code Organization

In this module, we will explore best practices for organizing Packer code, ensuring scalability and maintainability. We will cover the use of modules, variables, and conditional logic to structure Packer templates effectively. Through hands-on labs, you will practice organizing Packer configurations and converting JSON templates to HCL format.

Troubleshooting Your Packer Builds

In this module, we will focus on troubleshooting Packer builds using debugging tools and breakpoints. You will learn how to enable and interpret debug logs, use breakpoints to inspect the build process, and apply best practices for resolving errors. Hands-on labs will provide practical experience in debugging and refining Packer configurations.

Packer Integrations

This section focuses on Packer integrations, how Packer can be used with other tools to create a complete build pipeline, and various integrations, such as using Packer with Ansible to automate VM images, or using Packer with Terraform to automate the creation of infrastructure.