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:
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HashiCorp Packer intro and the problems it solves
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Use Cases and Examples
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Writing Packer Templates using HCL2 (the new standard for Packer 1.7+)
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Different Builders
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Using Variables
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Provisioners
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Post-Processors
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Code Organization
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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.
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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 Packer's 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 Vault's 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
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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
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