Gain insights into Docker fundamentals, delve into advanced concepts like database connectivity and Docker Compose, and discover how to monitor and scale services with Docker Swarm.

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Whether you are a DevOps beginner or just a developer who wants to start working with containers, you’re in the right place. Docker is an in-demand technology that you will be exposed to frequently while on the job.

 

Docker is used for setting up, deploying, and running applications, at scale, by containerizing them. More on that later. Docker also provides developers with a consistent environment for product development, and along with Kubernetes, makes managing the development lifecycle a breeze.

 

In this course, you will learn the fundamentals of Docker such as containers, images, and commands. You’ll then progress to more advanced concepts like connecting to a database container and how to simplify workflows with Docker Compose. At the end, you’ll learn how to monitor clusters and scale Docker services with Swarm.

Working with Containers: Docker & Docker Compose

If you don't want to put production at risk because of an untimely update or a library upgrade, you should start learning Docker right now. Besides this, there are other reasons to learn Docker, which we will look at below. 

# Advantages of using Docker

1. **Industry demand**: As Docker promises an equivalent environment in both development and production, companies don't have to test applications twice in different environments. As a result, Docker adoption by companies increases daily.

2. **Isolation from the main system**: As a developer, you will always experiment with libraries and different versions of programming languages. For example, if you are testing asyncio support for one application that needs Python 3.7, and you decide not to use it, you might need to uninstall Python 3.7 and install the previous version. With Docker, you simply remove the container. That's it. Zero complexities. 

3. **Configurations**: There are a lot of different configurations required for every project. Maintaining a list of configurations is very difficult. Docker provides the capability to configure images with different configurations and tag images.

4. **Docker Hub**: Ever imagined sharing your machine like you share the code using Github? Docker's Docker Hub provides access to thousands of images that are configured with the environment so that when your code works in your machine, you can build images and share it all over the internet.

5. **Continuous integration support**: Docker supports CI tools like [Travis](https://travis-ci.com/plans) and [Jenkins](https://www.jenkins.io/). Docker images can be built and tagged with specific versions and deployed anywhere.
>**Travis** is a hosted continuous integration service used to build and test software projects hosted at GitHub and Bitbucket.
  **Jenkins** is a free and open-source automation server. It helps automate the parts of software development related to building, testing, deploying, facilitating continuous integration, and continuous delivery.

You never have to waste time setting up your environment again!

Why Should You Use Docker?

Introduction to Course

Why Docker?

Getting Started With Docker

Docker Fundamentals

Automation using Dockerfile

Advance Docker

Introduction to Docker-Compose

Exposure to Docker Swarm

Bonus Section

Why Should You Use Docker?