Build Automation with HashiCorp Packer Online Course

Build Automation with HashiCorp Packer Online Course

This online course covers the fundamentals of Build Automation with HashiCorp Packer, an open-source tool used to create identical machine images for multiple platforms from a single source configuration. You will learn to write Packer templates using HCL2, work with builders, variables, provisioners, post-processors, and organize code efficiently. The course also explores integrating automation pipelines, secret management, and Terraform. We will cover integrating Packer with tools like Terraform, Vault, and GitLab CI/CD, and demonstrate building images for cloud platforms and VMware. By the end of the course, you'll be able to independently use HashiCorp Packer to automate machine images across multiple platforms, a vital skill for streamlining automation in any organization.

Key Benefits

• Learn how to utilize Packer, an open-source tool that allows you to create identical machine images across multiple platforms from a single source configuration.
• Gain a comprehensive understanding of Packer's core functions and components, and apply them to build real-world automation solutions using HCL2.
• Acquire hands-on experience in building machine images for multiple public cloud platforms and VMware environments, streamlining image creation across diverse infrastructures using HashiCorp Packer.

Target Audience

This course is for DevOps engineers seeking to streamline the management of machine images across multiple platforms, automation engineers aiming to establish an image factory, and engineers tasked with efficiently managing one or more golden images for their workloads. It is also ideal for system administrators responsible for maintaining and patching images and operating systems. No prior experience with Packer is required, though a foundational understanding of infrastructure platforms such as AWS, Azure, VMware, or OpenStack is beneficial. While knowledge of Linux or Windows OS scripting is desirable, it is not a prerequisite.

Learning Objectives

• Gain a deep understanding of Packer's essential components and functions, enabling you to efficiently automate infrastructure tasks.
• Learn how to automate the process of creating consistent machine images across various platforms, enhancing efficiency in your workflow.
• To design and implement practical automation solutions, utilize HashiCorp Packer with HCL2 (the latest standard for Packer 1.7+).
• Engage in hands-on labs to apply your learning and build real-world automation scenarios with Packer.
• Learn how to integrate Packer with Terraform, HashiCorp Vault, and GitLab CI/CD, streamlining your automation pipelines.
• Master the process of writing Packer templates using HCL2 to create reusable and maintainable configurations for building machine images.