Sahiti Kappagantula
Published on Nov 20,2018
783 Views
Email Post

Docker has gained immense popularity in this fast growing IT world. Organizations are continuously adopting Docker in their production environment. I take this opportunity to explain Docker in the most simple way. In this blog on Docker Explained, the following Docker concepts will be covered:

Since Docker is a containerization platform before I tell you about it, it’s important that you understand the history behind containerization.

Docker Explained: History Before Containerization 

Before containerization came into the picture, the leading way to isolate, organize applications and their dependencies was to place each and every application in its own virtual machine. These machines run multiple applications on the same physical hardware, and this process is nothing but Virtualization.

But virtualization had few drawbacks such as the virtual machines were bulky in size, running multiple virtual machines lead to unstable performance, boot up process would usually take a long time and VM’s would not solve the problems like portability, software updates, or continuous integration and continuous delivery.

These drawbacks led to the emergence of a new technique called Containerization. Now let me tell you about Containerization.

Containerization

Containerization is a type of Virtualization which brings virtualization to the operating system level. While Virtualization brings abstraction to the hardware, Containerization brings abstraction to the operating system. To understand containerization in detail refer to this Docker Tutorial blog.

Moving ahead, it’s time that you understand the reasons to use containers.

Docker Explained: Reasons to use Containers

Following are the reasons to use containers:

  • Containers have no guest OS and use the host’s operating system. So, they share relevant libraries & resources as and when needed.
  • Processing and execution of applications are very fast since applications specific binaries and libraries of containers run on the host kernel.
  • Booting up a container takes only a fraction of a second, and also containers are lightweight and faster than Virtual Machines.

Now, that you have understood what containerization is and the reasons to use containers, it’s the time you understand What is Docker?

Want To Get Certified In DevOps?

Docker Explained: What is Docker?

Docker is a platform which packages an application and all its dependencies together in the form of containers. This containerization aspect of Docker ensures that the application works in any environment.

Containerization - Docker Explained - EdurekaAs you can see in the diagram, each and every application runs on separate containers and has its own set of dependencies & libraries. This makes sure that each application is independent of other applications, giving developers surety that they can build applications that will not interfere with one another.

So a developer can build a container having different applications installed on it and give it to the QA team. Then the QA team would only need to run the container to replicate the developer’s environment.

If you wish to learn more about Docker, then you can click here.

Now, let me tell you some more basic concepts of Docker, such as Dockerfile, images & containers.

Docker Explained: Dockerfile, Images & Containers

Dockerfile, Docker Images & Docker Containers are three important terms that you need to understand while using Docker.

Docker File, Images & Containers - Docker Explained - Edureka

As you can see in the above diagram when the Dockerfile is built, it becomes a Docker Image and when we run the Docker Image then it finally becomes a Docker Container.

Refer below to understand all the three terms.

Dockerfile: A Dockerfile is a text document which contains all the commands that a user can call on the command line to assemble an image. So, Docker can build images automatically by reading the instructions from a Dockerfile. You can use docker build to create an automated build to execute several command-line instructions in succession.

Docker Image: In layman terms, Docker Image can be compared to a template which is used to create Docker Containers. So, these read-only templates are the building blocks of a Docker Container. You can use docker run to run the image and create a container.

Docker Images are stored in the Docker Registry. It can be either a user’s local repository or a public repository like a Docker Hub which allows multiple users to collaborate in building an application.

Docker Container: Docker Container is a running instance of a Docker Image as they hold the entire package needed to run the application. So, these are basically the ready applications created from Docker Images which is the ultimate utility of Docker. 

Now, that you know the basics, if you want to learn about the architecture of Docker then you can click here.

Docker Explained: Docker Compose & Docker Swarm

Docker Compose is a YAML file which contains details about the services, networks, and volumes for setting up the Docker application. So, you can use Docker Compose to create separate containers, host them and get them to communicate with each other. Each container will expose a port for communicating with other containers.

Docker Swarm is a technique to create and maintain a cluster of Docker Engines. The Docker engines can be hosted on different nodes, and these nodes, which are in remote locations, form a Cluster when connected in Swarm mode.

With this, we come to an end to the theory part of this Docker Explained blog, wherein you must have understood all the basic terminologies.

In the Hands-On part, I will show you the basic commands of Docker, and tell you how to create a Dockerfile, Images & a Docker Container.

Interested To Know More In DevOps?

Docker Explained: Hands-On

Follow the below steps to create a Dockerfile, Image & Container.

Step 1: First you have to install Docker. To learn how to install Docker, you can click here.

Step 2: Once Docker is installed, use the below command to check the Docker version.

docker -v

Snapshot Of Demo - Docker Explained - EdurekaStep 3: Now create a folder in which you can create a DockerFile and change the current working directory to that folder.

mkdir images
cd images

Snapshot Of Demo - Docker Explained - EdurekaStep 4.1: Now create a Dockerfile by using an editor. In this case, I have used the nano editor.

nano Dockerfile

Snapshot Of Demo - Docker Explained - EdurekaStep 4.2: After you open a Dockerfile, you have to write the Dockerfile as follows.

FROM ubuntu:latest
MAINTAINER Sahiti (email@domain.com)
RUN apt-get update
RUN apt-get install -y nginx
ENTRYPOINT ["/usr/sbin/nginx","-g","daemon off;"]
EXPOSE 80

Snapshot Of Demo - Docker Explained - Edureka

  • FROM: Specifies the image that has to be downloaded
  • MAINTAINER: Metadata of the owner who owns the image
  • RUN: Specifies the commands to be executed
  • ENTRYPOINT: Specifies the command which will be executed first
  • EXPOSE: Specifies the port on which the container is exposed

Step 4.3: Once you are done with that, just save the file.

Step 5: Build the Dockerfile using the below command.

docker build .

** “.” is used to build the Dockerfile in the present folder **

Snapshot Of Demo - Docker Explained - EdurekaStep 6: Once the above command has been executed the respective docker image wii be created. To check whether Docker Image is created or not, use the following command.

docker images

Snapshot Of Demo - Docker Explained - EdurekaStep 7: Now to create a container based on this image, you have to run the following command:

docker run -it -p port_number -d image_id

Where -it is to make sure the container is interactive, -p is for port forwarding, and -d to run the daemon in the background.

Snapshot Of Demo - Docker Explained - EdurekaStep 8: Now you can check the created container by using the following command:

docker ps

Snapshot Of Demo - Docker Explained - EdurekaWith this, we come to an end to this blog on Docker Explained. I hope you have enjoyed this post. You can check other blogs in the series too, which deal with Docker.

If you found this Docker Container blog relevant, check out the DevOps training by Edureka, a trusted online learning company with a network of more than 450,000 satisfied learners spread across the globe. The Edureka DevOps Certification Training course helps learners gain expertise in various DevOps processes and tools such as Puppet, Jenkins, Docker, Nagios, Ansible, and GIT for automating multiple steps in SDLC.

Want To Learn DevOps From Industry Level Experts?

Got a question for me? Please mention it in the comments section and I will get back to you.

About Author
Sahiti Kappagantula
Sahiti Kappagantula
Published on Nov 20,2018

Share on

Browse Categories

Comments
0 Comments