Docker is a container management service. The keywords of Docker are develop, ship and run anywhere. The whole idea of Docker is for developers to simply develop applications, ship them into containers which can then be deployed anywhere.

The initial release of Docker was in March 2013 and since then, it has become the buzzword for modern world development, especially in the face of Agile-based projects.

What is Docker?

Docker is an open-source centralized platform designed to create, deploy, and run applications. Docker uses container on the host’s operating system to run applications. It allows applications to use the equivalent Linux kernel as a system on the host computer, rather than creating a whole virtual operating system. Containers ensure that our application works in any environment like development, test, or production.

Docker includes components such as Docker client, Docker server, Docker machine, Docker hub, Docker composes, etc.

Let’s understand the Docker containers and virtual machine.

Docker Containers

Docker containers are the lightweight alternatives of the virtual machine. It allows developers to package up the application with all its libraries and dependencies, and ship it as a single package. The advantage of using a docker container is that you don’t need to allocate any RAM and disk space for the applications. It automatically generates storage and space according to the application requirement.

Virtual Machine

A virtual machine is a software that allows us to install and use other operating systems (Windows, Linux, and Debian) simultaneously on our machine. The operating system in which virtual machine runs are called virtualized operating systems. These virtualized operating systems can run programs and preforms tasks that we perform in a real operating system.

Containers Vs. Virtual Machine

Containers	Virtual Machine
Integration in a container is faster and cheap.	Integration in virtual is slow and costly.
No wastage of memory.	Wastage of memory.
It uses the equivalent kernel, but different distribution.	It uses multiple independent operating systems.

Why Docker?

Docker is designed to benefit both the Developer and System Administrator. There are the subsequent reasons to use Docker –

Docker allows us to simply install and run software without worrying about setup or dependencies.
Developers use Docker to eliminate machine problems, i.e. “but code is worked on my laptop.” when working on code together with co-workers.
Operators use Docker to run and manage apps in isolated containers for better compute density.
Enterprises use Docker to securely built agile software delivery pipelines to ship new application features faster and more securely.
Since docker is not only employed for the deployment, but it is also a great platform for development, that’s why we can efficiently increase our customer’s satisfaction.

Advantages of Docker

There are the subsequent advantages of Docker –

It runs the container in seconds instead of minutes.
It uses less memory.
It provides lightweight virtualization.
It does not a require full operating system to run applications.
It uses application dependencies to reduce the risk.
Docker allows you to use a remote repository to share your container with others.
It provides continuous deployment and testing environment.

Disadvantages of Docker

There are the subsequent disadvantages of Docker –

It increases complexity due to an additional layer.
In Docker, it is difficult to manage large amount of containers.
Some features such as container self -registration, containers self-inspects, copying files form host to the container, and more are missing in the Docker.
Docker is not a good solution for applications that require rich graphical interface.
Docker provides cross-platform compatibility means if an application is designed to run in a Docker container on Windows, then it can’t run on Linux or vice versa.

Docker Engine

It is a client server application that contains the subsequent major components.

A server which is a type of long-running program called a daemon process.
The REST API is employed to specify interfaces that programs can use to talk to the daemon and instruct it what to do.
A command line interface client.

Docker Features

Although Docker provides lots of features, we are listing some major features which are given below.

Easy and Faster Configuration
Increase productivity
Application Isolation
Swarm
Routing Mesh
Services
Security Management

Easy and Faster Configuration

This is a key feature of docker that helps us to configure the system simply and faster.

We can deploy our code in less time and effort. As Docker can be employed in a wide variety of environments, the requirements of the infrastructure are no longer linked with the environment of the application.

Increase productivity

By easing technical configuration and rapid deployment of application. No doubt it has increase productivity. Docker not only helps to execute the application in isolated environment but also it has reduced the resources.

Application Isolation

It provides containers that are employed to run applications in isolation environment. Each container is independent to another and allows us to execute any kind of application.

Swarm

It is a clustering and scheduling tool for Docker containers. Swarm uses the Docker API as its front end, which helps us to use various tools to control it. It also helps us to control a cluster of Docker hosts as a single virtual host. It’s a self-organizing group of engines that is employed to enable pluggable backends.

Routing Mesh

It routes the incoming requests for published ports on available nodes to an active container. This feature enables the connection even if there is no task is running on the node.

Services

Services is a list of tasks that lets us specify the state of the container inside a cluster. Each task represents one instance of a container that should be running and Swarm schedules them across nodes.

Security Management

It allows us to save secrets into the swarm itself and then prefer to give services access to certain secrets.

It includes some important commands to the engine like secret inspect, secret create etc.

So, this brings us to the end of blog. This Tecklearn ‘Overview of Docker and its features’ blog helps you with commonly asked questions if you are looking out for a job in DevOps. If you wish to learn Docker and build a career in DevOps domain, then check out our interactive, Containerization using Docker Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/containerization-using-docker/

Containerization using Docker Training

About the Course

Tecklearn has specially designed this Containerization using Docker Training Course to advance your skills for a successful career in this domain. his Docker training online course will help you learn Docker containerization, running Docker containers, Docker image creation, Dockerfile, Docker orchestration, security best practices and more through hands-on projects and case studies. Upon completion of this online training, you will hold a solid understanding and hands-on experience with Docker.

Why Should you take Containerization using Docker Training?

Average salary of Docker Expert is $110k – Indeed.com
According to Grand View Research, the DevOps market size is estimated to be worth $12.85 billion by 2025. DevOps professionals are highly paid and in-demand throughout industries including retail, eCommerce, finance, and technology.
Intuit, PayPal, Splunk, Uber & many other MNC’s worldwide use Docker across industries

What you will Learn in this Course?

Introduction to DevOps

What is Software Development
Software Development Life Cycle
Why DevOps?
What is DevOps?
DevOps Lifecycle
DevOps Tools
Benefits of DevOps
How DevOps is related to Agile Delivery
DevOps Implementation

Containerization using Docker – Part 1

Introduction to Docker
Understanding Docker Lifecycle
Docker Architecture
Components of Docker Ecosystem
Common Docker Operations
Committing changes in a Container
Hands On

Containerization using Docker – Part 2

Building Custom Docker Images
Docker Image
Introduction to Docker Swarm
Deploying a 2-Node Cluster using Docker Swarm
Hands on

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