Docker, Docker SWARM and Kubernetes crash course for DevOps
Learn Docker, Docker Compose, Docker SWARM, Deployment, and all about Kubernetes
What you’ll learn
Docker, Docker SWARM and Kubernetes crash course for DevOps
- Learn how to install and use Docker, Docker SWARM, and Kubernetes on Ubuntu 20.04
- Learn how to create and use Images & Containers with Docker
- Learn how to deploy Docker applications – manually, with managed services, or with Kubernetes
- Understand complex topics like managing and persisting data with Volumes
Requirements
- NO prior Docker or Kubernetes experience is required!
- Basic understanding of terminal and command-line usage
Description
This course will teach you both Docker & Kubernetes from the ground up with all the required theory and tons of examples and demos!
We’ll explore all key concepts in detail and with practical examples and demos – from images and containers, over volumes, and networking all the way up to deployment and Kubernetes Cluster: This course has it all!
In detail, this course includes the following topics:
- A thorough introduction to Docker, containers, and why you might want to use Docker
- Detailed setup instructions for macOS and Windows
- A deep dive into the core concepts you need to know: Containers & images
- Learn how to create custom images, use existing images and how run containers based on such images
- Get a detailed overview of the core commands you need when working with Docker
- Learn how to work with data and how to persist data with volumes
- Explore container networking – with the outside world and between multiple containers
- Learn how to work with both single and multi-container projects
Kubernetes!
Finally, you will tackle Kubernetes, a production-grade system for managing complex applications with many different running containers. You will learn the right way to build a Kubernetes Cluster – this course doesn’t have any of those annoying “don’t do this in production” comments! You will first build a Kubernetes Cluster on multi-nodes over the KVM hypervisor
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