Building Automated Machine Images with HashiCorp Packer

Building Automated Machine Images with HashiCorp Packer, available at $79.99, has an average rating of 4.57, with 53 lectures, based on 806 reviews, and has 5515 subscribers.

You will learn about The MOST Up-To-Date Course on HashiCorp Packer Learn to Automate the Creation of Machine Images Understand the Core Components and Functionality of Packer Perform Real-World Solutions with Packer HCL2 Get Hands-On Experience with Packer Using our Included Labs Access to all the Course Content – Slides, Hands-On Labs, Mind Maps, and Lab Guides This course is ideal for individuals who are DevOps Engineers looking to simplify the management of images in one or more platforms or Automation Engineers who want to create an image factory or Engineers who want to easily manage one or many golden images for their workloads or System administrators responsible for image and operating system maintenance and patching It is particularly useful for DevOps Engineers looking to simplify the management of images in one or more platforms or Automation Engineers who want to create an image factory or Engineers who want to easily manage one or many golden images for their workloads or System administrators responsible for image and operating system maintenance and patching.

Enroll now: Building Automated Machine Images with HashiCorp Packer

Summary

Title: Building Automated Machine Images with HashiCorp Packer

Price: $79.99

Average Rating: 4.57

Number of Lectures: 53

Number of Published Lectures: 53

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 53

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

The MOST Up-To-Date Course on HashiCorp Packer

Learn to Automate the Creation of Machine Images

Understand the Core Components and Functionality of Packer

Perform Real-World Solutions with Packer HCL2

Get Hands-On Experience with Packer Using our Included Labs

Access to all the Course Content – Slides, Hands-On Labs, Mind Maps, and Lab Guides

Who Should Attend

DevOps Engineers looking to simplify the management of images in one or more platforms

Automation Engineers who want to create an image factory

Engineers who want to easily manage one or many golden images for their workloads

System administrators responsible for image and operating system maintenance and patching

Target Audiences

DevOps Engineers looking to simplify the management of images in one or more platforms

Automation Engineers who want to create an image factory

Engineers who want to easily manage one or many golden images for their workloads

System administrators responsible for image and operating system maintenance and patching

Master HashiCorp Packer to automate your machine images across multiple platforms – a critical skill to enabling automation in your environments.

This is the most extensive and thorough course on Udemy for learning how to use HashiCorp Packer in your organization. It is the only course that teaches you all about using HCL2 to create your Packer templates, the new standard moving forward. It doesn’t matter if you have never used Packer before or have been writing Packer templates in the older JSON style. You’ll step away from this course ready to tackle any Packer build.

This course includes in-depth lectures on all of the core HashiCorp Packer components and tons of included labs. You also get access to hands-on labs that you can perform in your own environment, as we believe taking a hands-on approach is the best way to learn. Each lesson includes a mindmap of the topics, a PDF of the slides, and multiple labs to demonstrate the topics at hand.

Beyond getting comfortable with HashiCorp Packer, we’re taking it one step further and showing you how to integrate HashiCorp Packer with other automation tools, such as HashiCorp Terraform, HashiCorp Vault, and GitLab CI/CD. We’ll demonstrate building images on multiple public cloud platforms, and we’ll even show you how to build VMware images using Packer.

We cover a wide variety of topics, including:

HashiCorp Packer intro and the problems it solves

Use Cases and Examples

Writing Packer Templates using HCL2 (the new standard for Packer 1.7+)

Different Builders

Using Variables

Provisioners

Post-Processors

Code Organization

Integrations such as automation pipelines, secrets management, Terraform, and more.

You will get lifetime access to a wealth of content plus all of the labs for your own use. Don’t forget that this course also comes with Udemy’s 30-day guarantee.

*******************************************

About HashiCorp Packer

Packer is an open-source tool for creating identical machine images for multiple platforms from a single source configuration. Packer is lightweight, runs on every major operating system, and is highly performant, creating machine images for multiple platforms in parallel.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Introduction

Lecture 2: GitHub Repo for Supporting Files

Lecture 3: IMPORTANT – Course Updates and Packer 1.10+

Lecture 4: Course Ratings and Reviews

Chapter 2: Introduction to HashiCorp Packer

Lecture 1: Intro to Packer – Section Overview

Lecture 2: Why Use Packer?

Lecture 3: Hello, Packer!

Lecture 4: Core Components of Packer

Lecture 5: Installing Packer

Lecture 6: Demo – Installing Packer

Lecture 7: The Packer Command Line

Lecture 8: Hands-On Lab – The Packer Command Line

Lecture 9: The Packer Workflow

Lecture 10: Demo – The Packer Workflow

Lecture 11: Intro to Packer – Section Recap

Chapter 3: Writing Packer Templates

Lecture 1: Writing Packer Templates

Lecture 2: HCL Syntax

Lecture 3: Hands-On Lab – Converting JSON Templates to HCL

Lecture 4: Working with Packers Core Components in HCL

Lecture 5: Hands-On Lab – Writing Packer Templates

Chapter 4: Builders

Lecture 1: Introduction to Builders

Lecture 2: Demo – Building AWS AMIs with Packer

Lecture 3: Demo – Building Azure Machine Images with Packer

Lecture 4: Demo – Building Google Compute Machine Images with Packer

Lecture 5: Demo – Building VMware Templates with Packer

Lecture 6: Hands-On Lab – Building Images in Multiple Regions

Lecture 7: Hands-On Lab – Building Images for Different Operating Systems

Lecture 8: Hands-On Lab – Building Images in Multiple Clouds

Lecture 9: Demo – Target Clouds and Build Types using Packer

Chapter 5: Variables

Lecture 1: Introduction to Variables

Lecture 2: Declaring Packer Variables

Lecture 3: Using Variables in Packer Templates

Lecture 4: Using Environment Variables

Lecture 5: Hands-On Lab – Packer Variables

Chapter 6: Provisioners

Lecture 1: Introduction to Provisioners

Lecture 2: Examples of Different Provisioners

Lecture 3: Useful Features of Provisioners

Lecture 4: Hands-On Lab – Provisioners

Chapter 7: Post-Processors

Lecture 1: Introduction to Post-Processors

Lecture 2: Examples of Post-Processors

Lecture 3: Hands-On Lab – Post-Processors

Chapter 8: Code Organization

Lecture 1: Code Organization

Lecture 2: Hands-On Lab – Code Organization

Lecture 3: Hands-On Lab – Targeting Cloud Builds

Chapter 9: Troubleshooting Your Packer Builds

Lecture 1: Hands-On Lab – Packer Debug

Lecture 2: Hands-On Lab – Packer Breakpoints

Chapter 10: Packer Integrations

Lecture 1: Course Review

Lecture 2: Hands-On Lab – Integrating Packer with Red Hat Ansible

Lecture 3: Hands-On Lab – Integrating Packer with HashiCorp Terraform

Lecture 4: Demo – Integrating Packer with HashiCorp Vaults KV v2 Secrets Engine

Lecture 5: Demo – Integrating Packer with HashiCorp Vault using the AWS Secrets Engine

Lecture 6: Demo – Integrating Packer with GitLab CI/CD

Chapter 11: Bonus

Lecture 1: Bonus

Instructors

Bryan Krausen ? 130,000+ Enrollments Worldwide
Premier Udemy Instructor | Udemy Instructor Partner

Gabe Maentz
DevOps Practitioner & Authorized HashiCorp Instructor

Rating Distribution

1 stars: 1 votes

2 stars: 8 votes

3 stars: 53 votes

4 stars: 267 votes

5 stars: 477 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!