Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. With Docker, you can manage your infrastructure in the same ways you manage your applications. By taking advantage of Docker methodologies for shipping, testing, and deploying code quickly, you can significantly reduce the delay between writing code and running it in production.

Docker provides the ability to package and run an application in a loosely isolated environment called a container. The isolation and security allow you to run many containers simultaneously on a given host. Containers are lightweight because they don't need the extra load of a hypervisor, but run directly within the host machine's kernel. This means you can run more containers on a given hardware combination than if you were using virtual machines. You can even run Docker containers within host machines that are actually virtual machines.

When you use Docker, you are creating and using images, containers, networks, volumes, plugins, and other objects. This section is a brief overview of some of those objects.

An image is a read-only template with instructions for creating a Docker container. Often, an image is based on another image, with some additional customization. You might create your own images or you might only use those created by others and published in a registry. To build your own image, you create a Dockerfile with a simple syntax for defining the steps needed to create the image and run it. Each instruction in a Dockerfile creates a layer in the image. When you change the Dockerfile and rebuild the image, only those layers which have changed are rebuilt. This is part of what makes images so lightweight, small, and fast, when compared to other virtualization technologies.

A container is a runnable instance of an image. You can create, start, stop, move, or delete a container using the Docker API or CLI. You can connect a container to one or more networks, attach storage to it, or even create a new image based on its current state.By default, a container is relatively well isolated from other containers and its host machine. You can control how isolated a container'ss network, storage, or other underlying subsystems are from other containers or from the host machine.

GPSRdocker is suite of program held in a container for carrying out reseaarch related work in a fast and a secure way. The webservices developed by Raghava group till date are freely avilable to the scientific community. But there are number of limitation in utilizing the full potential of these softwares developed by group. GPSRdocker is the first step to overcome the limitation associated with standard webservers. The principal of GPSRdocker is "Fast, Secure & Data driven Research" and motto is "Affordable healthcare for all".