Independence Day Offer - FLAT 30% OFF | JTINFLAT30

- DevOps Blogs -

Docker Explained – An Introductory tutorial for Docker



What is Docker?

In this Docker tutorial, I will try to make You understand what is docker? Why use it? What are containers and what are docker images? and in the end, will come to know about compose and swarm.

So, let's begin with - what is docker?

Docker is capable of building and running our application in tiny lightweight containers.

All the libraries that are used by the application are compacted in tiny containers and then they become OS independent.

Dockers are considered as the options against VM and often have advantages over VM. Let us check out those in this docker tutorial.

Released on March 20, 2013, it has seen a tremendous increase in popularity and usage in a short duration.

All the big cloud providers now back it up such as AWS, Azure, and GCP which now provide support to docker on their respective platforms and many customer-centric

products are running on these cloud providers where the customer application facing a lot of traffic is running on these dockers.

Dockerhub has a huge collection and is also the largest source of docker images. It contains more than 1.5 million docker images for free.

developers use containers for deploying their application on a machine having any Linux flavor, that is other than the parent machine of the application code.

What are Virtual Machines ?

Virtual machines use the resources of the host machine but are represented as a separate machine. 

All Virtual machines have their OS.

Virtual machines use their separate OS and memory. The virtual machine uses the resources in isolation hence running many OS in parallel.

Using containers increases the outcome of the application and minimizes its size.

Virtual machines use a separate OS for itself, on top of the host OS, hence they are very heavy in size but containers use resources of host OS, hence light in weight.

3 virtual machines mean 3 different OS installed.

Docker containers lack security as compared to the virtual machines as all the containers share the same OS kernel, but virtual machines have a different OS kernel among themselves.

Docker containers are portable as they all use the same OS, but the virtual machines are not portable as they all use different operating systems.

CNF - Image like https://geekflare.com/wp-content/uploads/2019/09/traditional-vs-new-gen.png

History Before Containerisation

Monolithic Approach

Monolithic is the software development approach where all the interworking separate components were clubbed as one application and treated as one.

say for example we have an e-commerce website, which consists of different modules like user interface, product inventory, authorize user, authorize payments, and then delivery.

These modules are compacted and clubbed as a single application in a monolithic architecture.

DevOps Training & Certification Course

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

In this architecture, the applications were considered as a single entity clubbing all its components as one. They usually consist of the client, server, and database. Hence all the requests are processed at a single place. The disadvantage of this approach was a common code base, and to make a component change means the whole application was supposed to be built again.

CNF - Image like

https://s3-eu-west-1.amazonaws.com/img3.n-ix.com/wp-content/uploads/2018/10/01181553/25-facts-about-outsourced-software-engineering-in-Eastern-Europe-021.jpg

Advantages:

Advantages of docker

1. Less impacted components:

Due to its compact nature, components like logs and monitoring, if required were modified as a whole application and not as many distributed components, this made the life of developers easy to handle the changes as one component.

2. Ease of testing:

As monolithic applications are considered as a single entity hence it was easy to test them as compared to the microservice application.

3. Ease of deployment:

As monolithic applications are a single entity, hence any change made produced a single file or directory of the application and it was only needed to be deployed again and again.

4. Ease of Development:

As all developers work on a common code base, it is easy to develop applications using a monolithic approach.

Disadvantages:

Disadvantages:

1. Complexity:

As the code base increases, the complexity increases.

2. New changes:

As the changes and new features are introduced, it becomes difficult to manage as it affects the complete application, and also the development time increases.

3.Technology:

It is difficult to implement new technology to a component as the complete code base needs to be changed.

Microservice Architecture

In contrast to the monolithic approach where the application is a single entity, in microservices, the application is broken down into multiple modules. Here each module serves a separate purpose and has its separate database.

CNF Image: https://s3-eu-west-1.amazonaws.com/img3.n-ix.com/wp-content/uploads/2018/10/01181617/25-facts-about-outsourced-software-engineering-in-Eastern-Europe-03.jpg

1. Individual components

As stated above, all modules in the application are individual components, which makes development an easy process and easy to troubleshoot in case a bug arrives, as only the faulty module is rechecked.

2. New Features:

As the code is broken down in small modules, new features can be introduced at regular intervals.

3. Scalable:

In high traffic or better performance conditions, only the responsible component can be scaled up or down and no need to unnecessarily scale all the components as in the monolithic approach.

So I am sure, reading this docker tutorial until now must have given you some basic idea about the History Before containerization and how microservices have changed the way development was done.

So why to use containers?

Let’s understand in detail why we should use containers.?

 why to use containers?

Containers are small units that are used for running applications. They do not contain any OS and use the host OS.

1. Lightweight :

As we know that containers do not contain any OS and just have the required libraries and resources to run the application, they are light in weight and use the host OS.

2. Portable:

Containers and their contained applications can be deployed on any OS or hardware.

3. Efficient:

Applications are easily deployed and can be upgraded, reducing the time to market.

4. Easy development:

As the application is broken down as modules, each developer just needs to focus on its components and all such components can run in a container cluster to work as a complete application.

DevOps Training & Certification Course

  • Detailed Coverage
  • Best-in-class Content
  • Prepared by Industry leaders
  • Latest Technology Covered

Dockerfile, Images & Containers

In this docker tutorial let’s understand some more components :

What is a Dockerfile?

Dockerfile is a text file that contains the set of instructions for the Docker.

Docker uses these instructions to build an image. Build command is used to create an image from this Dockerfile. These instructions are the set of commands that are run in order when a container is created from this image. Each line in a docker file is considered as a separate layer.

Example of a Dockerfile :

FROM alpine

WORKDIR /my work

COPY . /mywork

RUN apt-get -y update  && apt-get install -y wget

CMD echo hello

What is a Docker Image?

A set of commands or instructions that are executed to start a container is called an image.

It is a collection of files that have no state.

This is in a read-only format. An Image consists of a list of commands that are executed in sequence when a container is formed out of it. You can use docker images to install applications that run within a container and pass the commands to them even at run time.

What is a Docker Container?

Docker container is a package that contains the application code and libraries that are required to run the application. Containers also make the application environment independent. Docker images when executed are called Docker containers.

Docker Compose

In this docker, tutorial let's further discuss other important tools provided by docker.

Till now we have seen how to run a single container but, even multiple container applications can be run.

This can be done with the help of docker-compose.

It helps us to define and run multiple containers as a single service.

It uses a YAML file for configuring the application. We then use this YAML file to start the application and all its services.

With the use of docker-compose, we can set up a complete environment to run our applications and also bring it down easily.

It separates the environment with the use of different project names.

Remember: When a container is brought down the data in it is lost. To avoid this situation user-specific volumes are the best solution.

Docker Swarm

Hosts that contains many masters and worker nodes is called a docker swarm. Here master node is responsible for managing the worker nodes.

In case a worker node goes down all tasks performed by it are transferred to another healthy node. This group of hosts is called a cluster.

Benefits :

1. Management of Cluster:

Master and many worker clusters are handled by docker swarm.

2. Scalable:

Scaling up and down of tasks are done easily.

3. Load-balancing:

In Swarm, manager ingress exposes services to the outer world.

Services are assigned a port number, using which it can be accessed from the outside world.

An internal DNS is responsible for assigning the services an entry.

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


    Ish Kumar

    A DevOps Engineer by profession and a Technical Blogger by passion. I love to learn anything about DevOps and Cloud computing and at the same time share the knowledge among those who are willing to learn and share the same passion with me.


Comments

Trending Courses

AWS

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

Upcoming Class

1 day 13 Aug 2020

DevOps

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

Upcoming Class

8 days 20 Aug 2020

Data Science

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

Upcoming Class

5 days 17 Aug 2020

Hadoop

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

Upcoming Class

3 days 15 Aug 2020

Salesforce

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

Upcoming Class

2 days 14 Aug 2020

QA

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

Upcoming Class

5 days 17 Aug 2020

Business Analyst

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

Upcoming Class

2 days 14 Aug 2020

MS SQL Server

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

Upcoming Class

2 days 14 Aug 2020

Python

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

Upcoming Class

5 days 17 Aug 2020

Artificial Intelligence

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

Upcoming Class

1 day 13 Aug 2020

Machine Learning

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

Upcoming Class

4 days 16 Aug 2020

Tableau

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

Upcoming Class

6 days 18 Aug 2020

Search Posts

Reset

Receive Latest Materials and Offers on DevOps Course

Interviews