What you'll learn:
- Install Docker Engine on your Laptop and run Docker Containers
- Understand Docker Container Secrets
- Build Docker Container Images for any applications
- Publish Docker Images to the online Docker Hub Repository
- Download Docker Images from Docker Hub Registry and run the application Docker Containers.
- Create Persistent Storage Volumes in the host machine, and mount it inside any "stateful" Docker Containers
- Perform Docker Container Life Cycle Management
- Retrieve Container Logs for debugging. Login to a Docker container to execute commands and debug applications, alive.
A simple and easy to understand Docker Container tutorial and hands-on course for busy professionals and absolute beginners in DevOps. This course was designed with DevOps Beginners in mind. This Docker course full of demos and lab exercises.
Docker is the most popular container engine. Docker is also the most popular application packaging and runtime format. We have designed this course on Docker Containers for Beginners with simple and easy to understand examples.
What you'll learn from this course on Docker Containers:
What is the need for Virtual Machines and Containers
What is a Virtual Machine
What is a Container
Difference between Virtual Machines and Containers
How Containers are better than Virtual Machines
What is a Docker Container
How to run a simple web server Docker Container
How to build a Docker Container Image - 2 methods
How to upload/download the Docker Container Images from the Docker Hub Repository
How to setup Docker containers networking
How to run stateful applications
How to configure persistent storage volumes
How to use persistent storage volumes for a Backend DBapplication like MySQL or MongoDB
How to run multi-container applications using Docker Compose
How to simplify Develop and Test Engineer Workflow using Docker Compose
Learn what happens under the hood in a Docker Container
Learn some of the little known Docker Container Secrets
Learn Linux Kernel Virtualization Primitives.
Please note:
This course is covered by Udemy 30 day money back guarantee.
