Building Automated Machine Images with HashiCorp Packer

Why take this course?
🎉 Building Automated Machine Images with HashiCorp Packer🚫
Are you ready to revolutionize the way you create machine images? Dive into the world of automation with our comprehensive online course, "Building Automated Machine Images with HashiCorp Packer" 🚀! This is your golden ticket to mastering one of the most essential tools in modern infrastructure automation.
Course Instructor: Bryan Krausen
👤 With over 60,000+ enrollments worldwide, Bryan's expertise will guide you through this transformative learning journey.
Why This Course? This isn't just another Packer course. It's the most extensive and thorough course on Udemy for HashiCorp Packer 🏆. It's designed to be the ultimate resource for learners at all levels, from beginners to seasoned pros. Here's what sets this course apart:
- HCL2 Mastery: Learn how to create Packer templates using HCL2, the new industry standard for Packer 1.7+, ensuring you stay ahead of the curve.
- Versatility for All: Whether you're a newcomer to Packer or have experience with its JSON style, this course will equip you with the skills to tackle any Packer build confidently.
- Hands-On Learning: With extensive lectures and invaluable hands-on labs that you can perform in your own environment, this course emphasizes a practical approach to learning.
- Comprehensive Coverage: We explore a wide array of topics, ensuring you gain a deep understanding of Packer's capabilities, including:
- Introduction to HashiCorp Packer and the problems it addresses
- Real-world use cases and examples to bring concepts to life
- Writing and organizing Packer templates using HCL2
- Utilizing different builders, variables, provisioners, and post-processors to tailor your image creation process
- Integrating Packer with other automation tools like HashiCorp Terraform, HashiCorp Vault, and GitLab CI/CD for a seamless workflow
- Building images on various platforms, including public clouds and VMware
- Integrated Learning Experience: Each lesson includes detailed mindmaps, PDF slides, and multiple labs to ensure you understand the topics covered.
What's in It For You?
- Lifetime Access: You get lifetime access to all course materials, labs, and content for your personal use.
- Integration Knowledge: Learn how to integrate Packer with other automation tools, enhancing your DevOps skills.
- Practical Application: Build images on multiple platforms and understand the nuances of each environment.
- Future-Proof Learning: Stay updated with the latest in Packer by learning HCL2, which is now the standard for creating Packer templates.
Don't Miss Out! This course also comes with Udemy's 30-day money-back guarantee. Enroll risk-free and unlock a world of automation possibilities! 🌐
About HashiCorp Packer: Packer is an open-source tool that stands out for its ability to create identical, machine-readable machine images for multiple platforms from a single configuration file. It's designed to be lightweight, run on every major operating system, and perform at high speeds, creating images in parallel across different platforms. With Packer, you can ensure consistency and efficiency in your infrastructure automation efforts. 🚀
Join us and start building automated machine images today with "Building Automated Machine Images with HashiCorp Packer"! 🛠️✨
Course Gallery




Loading charts...
Comidoc Review
Our Verdict
Exuding expertise, Bryan Krausen & Gabe Maentz' Building Automated Machine Images with HashiCorp Packer course boasts a rich balance of theory and hands-on experience. While at times repetitive and lacking depth in certain areas like Post Processors, it covers the fundamentals exceptionally well while providing a rare look into using Packer with on-prem VMware infrastructure. A perfect launchpad for HashiCorp tooling enthusiasts.
What We Liked
- Comprehensive coverage of Packer's core components and functionality, ideal for beginners
- Hands-on experience with Packer HCL2 using included labs & real-world solutions
- Support for multiple platforms including on-prem VMware (a rarity in competing courses)
- Detailed explanations of Packer integrations and Provisioners
Potential Drawbacks
- Occasional repetition makes the course feel slower-paced than necessary
- Limited focus on Post Processors, with specific examples lacking explanation
- VMware might benefit from a dedicated, in-depth section to balance out AWS content
- More emphasis on Packer's role within CI/CD pipelines and local runners could be added