The usage of Docker has soared high in the last few years. Also, it has altered the process of developing software. Evidently, it has impacted the manner in which programming advancement occurs.

Also, its compartments take into consideration the massive scale and have made improvements adaptable and at the same time keeping the process user-friendly. Let’s see, “What is Docker?” now.

Docker is a software platform that enables developers to create, deploy, and run applications in containers. Also, containers are lightweight, standalone, and executable units of software. Package up code and all its dependencies, are for, so the application runs quickly and reliably from one computing environment to another.

The actual compartment will move from one environment to another without any problem. Deployment is where it shines in a DevOps life cycle because you want to guarantee that the tested code will work in the production environment when you deploy your solution.

Likewise, while you’re building and testing the code, having a compartment running the arrangement at those stages is likewise helpful on the grounds that you can approve your work in a similar production environment.

Let’s examine the difference, now that the question “What is Docker” has been clarified.

Docker Image

Difference between Docker and virtual machines:

Both docker and virtual machines are technologies that allow you to run software in an isolated environment. They do, however, vary in a variety of ways.


While Docker has an engine layer, the virtual environment has a hypervisor layer. Virtual machines are more isolated from one another than containers because each one has its own operating system. On the other hand, containers use the same kernel and run on top of a host operating system. This makes them more lightweight and efficient than virtual machines, and also less isolated.


Firstly, the containers are portable. They are easily moved from one host to another. Virtual machines are not as portable because they are tied to the specific hypervisor that they are running on.


Generally, containers are designed for rapid deployment. They are perfect for development and testing environments since they can be quickly generated and deployed. Virtual machines are less suited for these scenarios since they can take longer to deploy.


Containers are considered more secure than virtual machines because they share the same kernel. As a result, any running containers on the host could possibly be impacted if a kernel vulnerability is discovered. Virtual machines, on the other hand, are more isolated from each other, so a vulnerability in the kernel is less likely to affect all of the virtual machines on the host

FeatureDockerVirtual Machine
ArchitectureLightweight containerHeavyweight operating system
DependenciesIncludes all dependenciesDoes not include dependencies
PortabilityEasily moved between environmentsNot as portable
Resource usageLess resource-intensiveMore resource-intensive
Use casesDevelopment, testing, and deploymentDevelopment, testing, and production
Difference between Docker and virtual machines

Let us move on to the Advantages in this article, What is Docker?


It has many advantages over traditional application deployment methods, including:


Any machine with Docker installed can run containers, regardless of the operating system. As a matter of fact, applications can be easily put into production, staging, and development environments thanks to Docker.


Containers start up much faster than virtual machines, which can save time and resources.


Basically, docker makes it easy to create and deploy new applications quickly. And certainly, this can help businesses to innovate and respond to market changes more quickly.


Basically, containers isolate applications from each other, which can help to improve security.

After learning about its benefits, in the same way, you should understand how it functions and its components. Thus working of Docker is covered in the below section of this article.

Working of a Docker:

A Docker engine, which is how it functions, consists of a server and a client. The server and client communicate with one another over a REST API. The client receives the instructions from the server. You can utilize the Toolbox on older Windows and Mac computers to use Compose and Kitematic to manage the engine.

After learning about Docker, its benefits, and how it functions in this article, accordingly, we will now concentrate on understanding its many components.

Components of Docker:

Finally, we’ll go through the following components:

Docker Image:

The instructions are provided in a template for the container called YA image. The template was written in a language known as YAML, or Yet Another Markup Language.

The image is generated from the YAML file and then hosted as a file in the registry. The image has several significant layers, and each layer is dependent on the layer underneath it.

Each command in the file is run, for constructing an image layer, which is stored in read-only format. You begin with your base layer, which normally consists of your fundamental operating system and image, and then you have a layer of dependencies on top of that. These then make up the read-only file’s instructions, which would become your Docker file.

Let’s go to the Docker Registry in the article.

Docker Registry:

Docker images can be kept and shared using registries. You can push an image to a registry after creating it. An image can be downloaded from a registry and used.

The ecosystem includes registries, which are crucial components. They facilitate the sharing and reuse of images among developers, hastening the development and deployment process.

Next in this article, What is Docker is the container.

Docker Container:

The container provides all the instructions for the solution you’re trying to run; it is an executable package of programs and their dependencies. Due to the redundant structural design, it is extremely lightweight.

Additionally, the container is naturally portable. Another advantage is that it operates entirely independently. Contrary to a virtual machine or a non-containerized environment, executing a container is assured not to affect any host OS security settings or special configurations.

Multiple containers can share memory for an environment, which is quite helpful, especially if you have a virtual machine with a set amount of memory for each environment.

The last component in the article is the client and server.

Docker Client and Server

You would use the terminal on your Mac or Linux system to issue commands from the client to the daemon in this command-line-instructed solution. A REST API is communicating with the host and the client.

Actually, the daemon itself is a server that provides services and communicates with the operating system. The daemon listens to the REST API on a regular basis to see if it needs to make any particular requests, as you might expect.

You will need to use the command within your daemon, which will start all of your performances if you want to trigger and start the entire process. The daemon and registry will run on a host.


In conclusion, What is Docker? The article is only an overview. Check out Henry Harvin’s DevOps Certification Training Course to learn more about Docker or to obtain thorough instruction. India Today and The Tribune top Henry Harvin as No. 1 among the top 5 upskilling programs in India.

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Q.1 Why should I learn Docker?

Ans. Application development is simplified and strengthened with Docker. You’ll save time and never again be concerned about application installation or dispute resolution.

Q.2 Why use Docker?

Ans. Docker lets you quickly deliver software by separating your applications from your infrastructure. Docker enables you to manage your infrastructure in the same way that you do your applications.

Q.3 What does a Docker solve?

Ans. By, effectively, sending the environment along with your code, it helps reduce the overhead of preparing environments to run applications.

Q.4 How important is learning Docker?

Ans. Docker has become a vital tool for software developers with the emergence of Microservices and Cloud Computing, and it is now critical for many of us to master them to be successful as software developers.

Q.5 What is the future of Docker?

Ans. Docker has been predicted as the virtualization industry’s future.

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