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.

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.

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.

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.

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.

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.

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.

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.

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.