FeaturedUdemy
Containerization and Virtualization Concepts
4.8(2,649)20k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
Understanding containerization and virtualization is essential for modern software engineering and cloud deployment. This intermediate course demystifies the core differences between virtual machines and containers, introduces key tools like Docker and Kubernetes, and walks through reading Dockerfiles and launching containerized applications from the CLI.
Who It's For
Developers, data engineers, and DevOps beginners seeking foundational knowledge of containers, Docker, and Kubernetes orchestration.
Key Takeaways
- VMs vs. Containers: Compare virtual machines and container technologies to select the right architecture for your environment.
- Docker & Kubernetes: Grasp essential concepts behind Docker containerization and Kubernetes orchestration.
- Dockerfiles & CLI Execution: Learn to interpret Dockerfile configuration recipes and run containerized apps via the command line.
About this course
Docker, containers, Kubernetes, VMs? You've heard these terms before, but you're not quite sure what they mean? In this course, you'll gain the foundational knowledge you need about containerization and virtualization to step up your game in modern software development.
In the end, you'll be armed with the knowledge you need to continue your deep dive into Docker and Kubernetes, and to inform your future architectural decisions.
Distinguish between containers and virtual machines
Understand the key differences and choose the right technology for your use case.Understand Docker and Kubernetes
Learn about Docker, the industry-standard tool for building containers, and explore Kubernetes, the container orchestration platform.Understand Dockerfiles
Learn how to read the recipes (Dockerfiles) that define your container applications.Run your first containerized application
Get your hands dirty and run your first containerized application from the command line interface!In the end, you'll be armed with the knowledge you need to continue your deep dive into Docker and Kubernetes, and to inform your future architectural decisions.
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