A common method for distributing applications and sandboxing their execution is to use virtual machines, or VMs. Typical VM formats are VMWare‘s vmdk, Oracle Virtualbox’s vdi, and Amazon EC2's ami. In theory these formats should allow every developer to automatically package their application into a “machine” for easy distribution and deployment. In practice, that almost never happens, for a few reasons:
By contrast, Docker relies on a different sandboxing method known as containerization. Unlike traditional virtualization, containerization takes place at the kernel level. Most modern operating system kernels now support the primitives necessary for containerization, including Linux with openvz, vserver and more recently lxc, Solaris with zones and FreeBSD with Jails.
Docker builds on top of these low-level primitives to offer developers a portable format and runtime environment that solves all 4 problems. Docker containers are small (and their transfer can be optimized with layers), they have basically zero memory and cpu overhead, they are completely portable and are designed from the ground up with an application-centric design.
The best part: because Docker operates at the OS level, it can still be run inside a VM!
Docker does not require that you buy into a particular programming language, framework, packaging system or configuration language.
Is your application a Unix process? Does it use files, tcp connections, environment variables, standard Unix streams and command-line arguments as inputs and outputs? Then Docker can run it.
Can your application's build be expressed as a sequence of such commands? Then Docker can build it.
A common problem for developers is the difficulty of managing all their application's dependencies in a simple and automated way.
This is usually difficult for several reasons:
Cross-platform dependencies. Modern applications often depend on a combination of system libraries and binaries, language-specific packages, framework-specific modules, internal components developed for another project, etc. These dependencies live in different “worlds” and require different tools - these tools typically don't work well with each other, requiring awkward custom integrations.
Conflicting dependencies. Different applications may depend on different versions of the same dependency. Packaging tools handle these situations with various degrees of ease - but they all handle them in different and incompatible ways, which again forces the developer to do extra work.
Custom dependencies. A developer may need to prepare a custom version of their application‘s dependency. Some packaging systems can handle custom versions of a dependency, others can’t - and all of them handle it differently.
Docker solves dependency hell by giving the developer a simple way to express all their application‘s dependencies in one place, and streamline the process of assembling them. If this makes you think of XKCD 927, don’t worry. Docker doesn't replace your favorite packaging systems. It simply orchestrates their use in a simple and repeatable way. How does it do that? With layers.
Docker defines a build as running a sequence of Unix commands, one after the other, in the same container. Build commands modify the contents of the container (usually by installing new files on the filesystem), the next command modifies it some more, etc. Since each build command inherits the result of the previous commands, the order in which the commands are executed expresses dependencies.
Here's a typical Docker build process:
FROM ubuntu:12.04 RUN apt-get update RUN apt-get install -q -y python python-pip curl RUN curl -L https://github.com/shykes/helloflask/archive/master.tar.gz | tar -xzv RUN cd helloflask-master && pip install -r requirements.txt
Note that Docker doesn't care how dependencies are built - as long as they can be built by running a Unix command in a container.
Docker can be installed on your local machine as well as servers - both bare metal and virtualized. It is available as a binary on most modern Linux systems, or as a VM on Windows, Mac and other systems.
We also offer an interactive tutorial for quickly learning the basics of using Docker.
For up-to-date install instructions and online tutorials, see the Getting Started page.
Docker can be used to run short-lived commands, long-running daemons (app servers, databases etc.), interactive shell sessions, etc.
You can find a list of real-world examples in the documentation.
Under the hood, Docker is built on the following components:
Want to hack on Docker? Awesome! There are instructions to get you started here.
They are probably not perfect, please let us know if anything feels wrong or incomplete.
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Docker is licensed under the Apache License, Version 2.0. See LICENSE for full license text.