Special OFFER: 1st Enroll Flat 25% OFF OR 2nd Enroll Get 40% OFF | Use Coupon JTOFFER25

- DevOps Blogs -

What Is Docker? Devops Docker Tutorial Guide for Beginner


Docker tool is basically used to create, deploy, and run the applications by using containers. Through Docker DevOps, developers can pack all parts of an application like libraries and other dependencies easily and ship it out as a single package. Package delivery of the application can keep the developer assured about the timely delivery of the application without being concerned about the type and configuration of the platform. Here, in this article, we are going to describe What is Docker in DevOps, its features and benefits to give you an idea of why Companies are using Docker DevOps and why it is getting popular immensely worldwide?

What is Docker?

Docker is a virtual machine, but unlike virtual machines that create a completely separate operating system, Docker allows the applications to use the Linux kernel of the same machine on which it is installed and by taking this benefit, it can make the applications ready to ship to other machines that are running the same Linux OS with somewhat different configurations. In this way, application size is reduced significantly and at the time of shipping, application performance also gets improved.

It is an open-source tool and anyone can use it to meet his or her needs even if they need any additional feature or in case if they need to add a feature that does not exist already in the application.

DevOps Training & Certification Course

  • No cost for a Demo Class
  • Industry Expert as your Trainer
  • Available as per your schedule
  • Customer Support Available

Docker Tutorial: Why is it Popular?

Docker was released on 10 June 2014 and since then the Companies have adopted the tool at a remarkable rate. As rather than a virtual machine it was working as a container. Today, over 35 million applications have been shipped via Docker and over 37 billion Docker applications have been downloaded.

Docker Tutorial Guide

Docker tool was basically designed for both developers and system administrators and this is an important part of DevOps. Docker has made the code writing capability of the developers quite good and they can just focus on application development rather than being worried about the platform where it will run. They can also start by themselves by using ready to use Docker programs, these programs are basically part of the Docker tool. It minimizes the number of systems that are needed and increases the flexibility of application deployment. As it is a small tool so requires lower overhead and has a small footprint.

1) Low System Requirements

Companies and organizations are selecting containers for deployment rather than virtual machines as they require complex and huge hardware. However, containers use shared operating systems so they are much more efficient than virtual machines, they do not use a full operating system instead rest on the top of a single instance of OS and leave 99.9% of total space free that can be used by any other program or process. So, if you will have a perfectly tuned container system then you can run more server instances on the same machine as compared to the virtual machines.

Read: Kubernetes Tutorial Guide For Beginner

2) Continuous Integration /Continuous Deployment

Another reason due to which enterprises are accepting Docker container is its ability for continuous integration and continuous deployment. Through DevOps methodology and DevOps Lifecycle, developers can integrate their code with a shared repository and can deploy the code efficiently and quickly.

3) Quick Application Portability

As another reason containers give instant application portability. It means that developers can pack, ship, and run the application as a self-sufficient container. It can be run virtually from anywhere, so are quite easy to use and makes the application deployment more efficient.

4) Code Isolation

Even DevOps Engineer and developers can isolate their code into a single container through Docker if they feel so, due to this program modification or update becomes easier. With the help of Dockers, enterprises can easily break a large application into smaller ones and then deploy it. Docker’s containers are quite easier to deploy on the cloud as well so it can be easily incorporated into DevOps application. Also, you must be sure of the best DevOps implementation practices for assured outcomes.

5) Local Development Environment

For CI/CD process a local development environment can be set up through Docker and this environment is similar to the live server. From the same host, multiple development environments can be created with unique software, configuration, and operating systems. So, an application can be tested for different servers and anyone can work on the same project with various settings regardless of the localhost environment.

6) Increased Efficiency

An IT department with strong DevOps knowledge can deploy the software even 200 times faster than any low performing IT department and can recover 24 times faster as well with a lower failure rate. So, businesses are using DevOps and for that, they are using DevOps Docker to test the application in a safe and secure environment. So, this is just an excellent style to deliver some applications.

What is Docker used for in DevOps?

Docker has a “run” option through which a container can be created and run. Container life is bounded by the process of life that means as soon as the process will be finished, containers will also get terminated. Following command can help you in knowing that what commands are available in Docker:

DevOps Training & Certification Course

  • Personalized Free Consultation
  • Access to Our Learning Management System
  • Access to Our Course Curriculum
  • Be a Part of Our Free Demo Class

List of Docker Commands with Example

Using installation wizard, the user can install Docker on any machine. Docker installer can be located on the community page of Docker. For the Linux system, Docker is usually available as distribution package manager. Following command is used to install Docker on Fedora:

Read: Ultimate and Easy Ways About Jenkins Code Analysis To make you Successful

Command to install the process

//sudo dnf install Docker

Command to start the process

sudo systemct1 start Docker

Command to Enable the process

//sudo systemct1 enable Docker

The steps for other Linux versions same steps will be used for this.

How to create a container

$ sudo Docker run –it busybox is /bin/

  • Name: We use Docker to create the containers and users can give a new and unique name to these containers. Docker can also give a default name to the Docker.
  • It: It stands for interactive and through this terminal gets connected to virtual TTY and so the running processes get interacted to the output terminal.
  • Busybox: The base image is used to create the container and it is like a zip file that contains the necessary files to deploy and develop the application.
  • Echo: It is a command that usually executes the commands that are contained in the busybox

Command to see the list of cached images:

In Docker, when images are used for the first time, they are downloaded and cached to speed up the things. To check the local images, we can use the following command:

// sudo Docker images

Command to see Background Running Containers

The status of any of the background running container can be checked by the following command:

//sudo Docker ps

Command to kill Running Containers

Following command can be used to stop a container:

Sudo Docker stop [name of your container]


Sudo Docker stop snooze

A running container is stopped through this command and the container is kept in cache even after deletion. The same command is executed again by the following command:

Sudo Docker start snooze

Read: What is Docker? Docker Commands Cheat Sheet with Example for Ubuntu

The command to Check Container Existence

The existence of any container can be checked by the following command:

Docker ps

All running containers can be enlisted by following the above command. While to display, running and non-running containers can be checked by the following command:

Docker ps –a 

Mounting Process

The –v parameter is used to map or mount a folder to the host that is also a folder inside any container. For this first time, we will have to create a file:

Echo ‘Hello world’ >hello 

By using an external text editor of busybox, we can open the file through the following command:

 //sudo Docker run –it busybox vi hello

Here, no output will be displayed as ‘vi’ will call an isolated process and will not be able to access any external file that is outside of the container area. Here, in such situation, we will have to mount the desired file and it will be done through the following command:

#the :z in /app:z -> is for SELinux, non-Linux can ignore this
//sudo Docker run –it –v “$(pwd)” :/app:z busybox vi app/text

By the above command, an actual folder with the name $pwd will be mounted to the: /aa folder of the container. In case, if the container does not exist then it will be created. Following options can also be used with this command:

  • -v option: It will overwrite any pre-existing folder of the container. In case, if it already exists then will be replaced by the newer ones.
  • This command can access your system as well and the system resources will be used through this command
  • As the changes done by this command are done to the folder, so even if the container gets killed then even the changes will be persisted.

DevOps Docker Tutorial: Conclusion

In short, Docker can run many applications by using the same hardware. Developers can create ready to run container applications through Docker. It has made deploying and managing applications quite easier. Every enterprise that is using DevOps can use Docker so that it can deliver an efficient and quick application to its customers. Any size of the Company can deliver such amazing applications by using the DevOps Docker tool.

With this DevOps Tutorial guide for the beginners, you have the basic idea about the tool and basic commands too that can be used to set up an application. To know more about the tool and to use it practically for your next project, you are recommended to join the respective course certification training program online at JanBask Training now.

Read: Puppet Interview Questions and Answers

FaceBook Google+ LinkedIn Pinterest

    Janbask Training

    A dynamic, highly professional, and a global online training course provider committed to propelling the next generation of technology learners with a whole new way of training experience.


Trending Courses


  • AWS & Fundamentals of Linux
  • Amazon Simple Storage Service
  • Elastic Compute Cloud
  • Databases Overview & Amazon Route 53

Upcoming Class

9 days 05 Nov 2021


  • Intro to DevOps
  • GIT and Maven
  • Jenkins & Ansible
  • Docker and Cloud Computing

Upcoming Class

9 days 05 Nov 2021

Data Science

  • Data Science Introduction
  • Hadoop and Spark Overview
  • Python & Intro to R Programming
  • Machine Learning

Upcoming Class

2 days 29 Oct 2021


  • Architecture, HDFS & MapReduce
  • Unix Shell & Apache Pig Installation
  • HIVE Installation & User-Defined Functions
  • SQOOP & Hbase Installation

Upcoming Class

2 days 29 Oct 2021


  • Salesforce Configuration Introduction
  • Security & Automation Process
  • Sales & Service Cloud
  • Apex Programming, SOQL & SOSL

Upcoming Class

2 days 29 Oct 2021


  • Introduction and Software Testing
  • Software Test Life Cycle
  • Automation Testing and API Testing
  • Selenium framework development using Testing

Upcoming Class

12 days 08 Nov 2021

Business Analyst

  • BA & Stakeholders Overview
  • BPMN, Requirement Elicitation
  • BA Tools & Design Documents
  • Enterprise Analysis, Agile & Scrum

Upcoming Class

2 days 29 Oct 2021

MS SQL Server

  • Introduction & Database Query
  • Programming, Indexes & System Functions
  • SSIS Package Development Procedures
  • SSRS Report Design

Upcoming Class

9 days 05 Nov 2021


  • Features of Python
  • Python Editors and IDEs
  • Data types and Variables
  • Python File Operation

Upcoming Class

9 days 05 Nov 2021

Artificial Intelligence

  • Components of AI
  • Categories of Machine Learning
  • Recurrent Neural Networks
  • Recurrent Neural Networks

Upcoming Class

10 days 06 Nov 2021

Machine Learning

  • Introduction to Machine Learning & Python
  • Machine Learning: Supervised Learning
  • Machine Learning: Unsupervised Learning

Upcoming Class

23 days 19 Nov 2021


  • Introduction to Tableau Desktop
  • Data Transformation Methods
  • Configuring tableau server
  • Integration with R & Hadoop

Upcoming Class

2 days 29 Oct 2021

Search Posts


Receive Latest Materials and Offers on DevOps Course