Udemy – Building Automated Machine Images with HashiCorp Packer 7.4.2

Udemy – Building Automated Machine Images with HashiCorp Packer 7.4.2
English | Tutorial | Size: 3.35 GB

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

Buy Long-term Premium Accounts To Support Me & Max Speed



If any links die or problem unrar, send request to goo.gl/aUHSZc

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.