This decoupling allows container-based applications to be deployed easily and consistently, regardless of whether the target environment is a private data center, the public cloud, or even a developer’s personal laptop. Why use containers?Ĭontainers offer a logical packaging mechanism in which applications can be abstracted from the environment in which they actually run. But this isolation comes at great cost - the computational overhead spent virtualizing hardware for a guest OS to use is substantial.Ĭontainers take a different approach: by leveraging the low-level mechanics of the host operating system, containers provide most of the isolation of virtual machines at a fraction of the computing power. VMs are great at providing full process isolation for applications: there are very few ways a problem in the host operating system can affect the software running in the guest operating system, and vice-versa. VMs run applications inside a guest Operating System, which runs on virtual hardware powered by the server’s host OS. The industry standard today is to use Virtual Machines (VMs) to run software applications.

Unlike virtual machines, containers do not have high overhead and hence enable more efficient usage of the underlying system and resources. The key benefit of Docker is that it allows users to package an application with all of its dependencies into a standardized unit for software development. to easily deploy their applications in a sandbox (called containers) to run on the host operating system i.e. In simpler words, Docker is a tool that allows developers, sys-admins etc. Written and developed by Prakhar SrivastavĪn open-source project that automates the deployment of software applications inside containers by providing an additional layer of abstraction and automation of OS-level virtualization on Linux. Learn to build and deploy your distributed applications easily to the cloud with Docker

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