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- What is AWS Elastic Beanstalk? | A Complete Guide For Beginners
- What is Azure Devops? | A Comprehensive Guide
- What is Devops Engineer? | Roles and Responsibilities
- What is Blue Green Deployment? : The Ultimate Guide | Step-By-Step Process
- Introduction to Docker Images and Containers |A Definitive Guide with Best Practices [ OverView ]
- DevOps Tools for Database Deployment Automation | All you need to know [ OverView ]
- Top AWS DevOps Tools for Cloud Build and Deployment | A Complete Guide with Best Practices
- The Rise of DevOps: What It Is & How It Helps Businesses [OverView]
- Why DevOps and What it Means for Federal Agencies | How its Work [ OverView ]
- What is Chaos Engineering? : The Ultimate Guide | Principles of Chaos Engineering [ OverView ]
- Top Most DevOps Security Tools | The Ultimate Guide with Expert’s Top Picks
- What is Continuous Integration in Jenkins | A Complete Beginners Guide | REAL-TIME Examples
- Best CI/CD Tools Used by Programmers | Everything You Need to Know | Expert’s Top Picks
- Difference between Docker and Virtual Machine | A Definitive Guide and Which Should You Learn?
- Top Features of Docker | Everything You Need to Know [ OverView ]
- What is DevOps? : A Complete Guide with Best Practices
- Docker Alternatives and Their Standout Features [ OverView ]
- What is AWS DevOps ? All you need to know [ OverView ]
- Terraform vs Ansible: Key Differences Among Terraform and Ansible
- Docker vs Kubernetes | Difference You Should Know
- DevOps Build Tools List
- Ansible Vs Kubernetes
- DevOps Engineer Salary, Roles and Responsibilities
- Ansible vs. Puppet
- What is Puppet?
- Agile vs DevOps
- What is Docker Container?
- How to Install Jenkins on Windows?

Top Features of Docker | Everything You Need to Know [ OverView ]
Last updated on 02nd Nov 2022, Artciles, Blog, DevOps
- In this article you will learn:
- 1.What is docker.
- 2.Features of Docker.
- 3.Who is Docker for?
- 4.Conclusion.
What is docker?
Docker is the open platform to develop, ship and run applications containers on a common operating system.It enables to separate the applications from infrastructures so that software is be delivered quickly.Infrastructure can be managed by a Docker in a same way as one managed their applications The delay between the writing code and running it for production can be significantly reduced with help of Docker’s methodologies for fastquick shipping, testing, and deployment of codes.
Features of Docker:
- 1. Faster and easier configuration.
- 2. Application isolation.
- 3. Increase in productivity.
- 4. Swarm .
- 5. Services .
- 6. Routing Mesh .
- 7. Security Management .
- 8. Rapid scaling of Systems .
- 9. Better Software Delivery .
- 10. Software-defined networking.
- 11. Has the capability of shrinking in size.
1. Faster and Easier configuration:
- It is one of key features of Docker that helps in configuring a system in a faster and easier manner.
- Due to this feature, codes can be deployed in a less time and with a fewer efforts.
- The infrastructure is not linked with an environment of the application as a Docker is used with a wide variety of environments.
2. Application isolation:
- Docker offers containers that are used to run applications in the isolated environment.
- Since every container is independent, Docker can execute any kind of the application.
3. Increase in productivity:
- It helps in increasing the productivity by easing up a technical configuration and rapidly deploying applications.
- Moreover, it not only offersthe an isolated environment to execute the applications, but it reduces resources as well.

4. Swarm:
- Swarm is the clustering and scheduling tool for a Docker containers.
- At the front end, it uses a Docker API, which helps us to use a different tools to control it.
- It is the self-organizing group of engines that enables a pluggable backends.
5. Services:
- Services is the list of tasks that specifies a state of a container inside the cluster.
- Every task in Services lists one instance of a container that should be running, while a Swarm schedules them across nodes.
7. Security Management:
- It saves a secrets into the swarm and chooses to give the services access to certain secrets, including few important commands to an engine such as a secret inspect, secret create, etc.
8. Rapid scaling of Systems:
- Containers require a less computing hardware and get a much work done.
- They allow the data centre operators to cram more workload into a less hardware, meaning sharing of a hardware, resulting in the lower costs.
9. Better Software Delivery:
- Software Delivery with help of containers is said to be more efficient.
- This isolated volume goes along with a container as it develops and is deployed to the various environments.

10. Software-defined networking:
- Docker supports a Software-defined networking.
- Without having touched single router, the Docker CLI and Engine enables the operators to explain isolated networks for containers.
- Operators and Developers design systems with the complex network topologies, as well as explain the networks in a configuration files.
- Since the application’s containers can run in the isolated virtual network, with controlled ingress and egress path, it acts as security benefit as well.
11. Has the capability of shrinking in size:
- Since it provides the smaller footprint of the OS via containers, Docker holds capability to reduce the size of development.
Who is Docker for?
- Docker as the tool benefits both developers and system administrators, and hence is a part of the various toolchains of DevOps (Developers+Operations).
- It helps to developers to focus on writing a code and not worry about the system that it will run on.
- Moreover, they can make use of one of thousands of programs that are already designed to run in Docker container as a part of their applications and get a head start.
- As for the Operations, Docker provides the flexibility as well as reduces a number of systems needed due to its lower overhead and also small footprint.
Conclusion:
Docker is the flexible technology that makes it easy to isolate and provides natural independence.However, in its a current form,and should only use it in a development and testing areas.Would not recommend using a Docker in production programs yet, as it requires a more maturity.