Building Automated Machine Images with HashiCorp Packer (2023)

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3.35 GB | 17min 16s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

001 Introduction.mp4 (118.84 MB)
001 Intro to Packer - Section Overview.mp4 (11.01 MB)
002 Why Use Packer.mp4 (57.15 MB)
003 Hello, Packer!.mp4 (66.18 MB)
004 Core Components of Packer.mp4 (91.57 MB)
005 Installing Packer.mp4 (18.37 MB)
006 Demo - Installing Packer.mp4 (65.74 MB)
007 The Packer Command Line.mp4 (82.57 MB)
008 Hands-On Lab - The Packer Command Line.mp4 (47.68 MB)
009 The Packer Workflow.mp4 (15.86 MB)
010 Demo - The Packer Workflow.mp4 (33.14 MB)
011 Intro to Packer - Section Recap.mp4 (7.3 MB)
001 Writing Packer Templates.mp4 (83.86 MB)
002 HCL Syntax.mp4 (58.67 MB)
003 Hands-On Lab - Converting JSON Templates to HCL.mp4 (56.14 MB)
004 Working with Packer's Core Components in HCL.mp4 (64.71 MB)
005 Hands-On Lab - Writing Packer Templates.mp4 (86.76 MB)
001 Introduction to Builders.mp4 (47.97 MB)
002 Demo - Building AWS AMIs with Packer.mp4 (186.65 MB)
003 Demo - Building Azure Machine Images with Packer.mp4 (97.2 MB)
004 Demo - Building Google Compute Machine Images with Packer.mp4 (102.9 MB)
005 Demo - Building VMware Templates with Packer.mp4 (101.31 MB)
006 Hands-On Lab - Building Images in Multiple Regions.mp4 (53.73 MB)
007 Hands-On Lab - Building Images for Different Operating Systems.mp4 (138.78 MB)
008 Hands-On Lab - Building Images in Multiple Clouds.mp4 (69.5 MB)
009 Demo - Target Clouds and Build Types using Packer.mp4 (40.32 MB)
001 Introduction to Variables.mp4 (52.36 MB)
002 Declaring Packer Variables.mp4 (42.84 MB)
003 Using Variables in Packer Templates.mp4 (66.11 MB)
004 Using Environment Variables.mp4 (17.92 MB)
005 Hands-On Lab - Packer Variables.mp4 (104.04 MB)
001 Introduction to Provisioners.mp4 (21.99 MB)
002 Examples of Different Provisioners.mp4 (34.43 MB)
003 Useful Features of Provisioners.mp4 (43.73 MB)
004 Hands-On Lab - Provisioners.mp4 (60.57 MB)
001 Introduction to Post-Processors.mp4 (54.73 MB)
002 Examples of Post-Processors.mp4 (52.75 MB)
003 Hands-On Lab - Post-Processors.mp4 (36.4 MB)
001 Code Organization.mp4 (49.43 MB)
002 Hands-On Lab - Code Organization.mp4 (92.31 MB)
003 Hands-On Lab - Targeting Cloud Builds.mp4 (62.79 MB)
001 Hands-On Lab - Packer Debug.mp4 (137.45 MB)
002 Hands-On Lab - Packer Breakpoints.mp4 (145.32 MB)
001 Hands-On Lab - Integrating Packer with Red Hat Ansible.mp4 (140.36 MB)
002 Hands-On Lab - Integrating Packer with HashiCorp Terraform.mp4 (127.57 MB)
003 Demo - Integrating Packer with HashiCorp Vault's KV v2 Secrets Engine.mp4 (28.54 MB)
004 Demo - Integrating Packer with HashiCorp Vault using the AWS Secrets Engine.mp4 (92.52 MB)
005 Demo - Integrating Packer with GitLab CI CD.mp4 (158.98 MB)

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[0dayddl]

Building Automated Machine Images with HashiCorp Packer
Duration: 6h 49m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.35 GB
Genre: eLearning | Language: English​

Learn how to Automate the Creation of Machine Images across Multiple Platforms using HashiCorp Packer!

What you'll 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

Requirements:
No Packer Experience Necessary - We'll Fully Prepare You with this Course
Basic understanding of one or more infrastructure platforms (AWS, Azure, VMware, OpenStack, etc.)
Linux or Windows OS scripting is a plus but not required

Description:
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.
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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.

Who this course is for:
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

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