moby/docs/sources/introduction/understanding-docker.md

page_title: Understanding Docker page_description: Docker explained in depth page_keywords: docker, introduction, documentation, about, technology, understanding

Understanding Docker

What is Docker?

Docker is a platform for developing, shipping, and running applications. Docker is designed to deliver your applications faster. With Docker you can separate your applications from your infrastructure AND treat your infrastructure like a managed application. We want to help you ship code faster, test faster, deploy faster and shorten the cycle between writing code and running code.

Docker does this by combining a lightweight container virtualization platform with workflow and tooling that helps you manage and deploy your applications.

At its core Docker provides a way to run almost any application securely isolated into a container. The isolation and security allows you to run many containers simultaneously on your host. The lightweight nature of containers, which run without the extra overload of a hypervisor, means you can get more out of your hardware.

Surrounding the container virtualization, we provide tooling and a platform to help you get your applications (and its supporting components) into Docker containers, to distribute and ship those containers to your teams to develop and test on them and then to deploy those applications to your production environment whether it be in a local data center or the Cloud.

What can I use Docker for?

• Faster delivery of your applications

Docker is perfect for helping you with the development lifecycle. Docker can allow your developers to develop on local containers that contain your applications and services. It can integrate into a continuous integration and deployment workflow.

Your developers write code locally and share their development stack via Docker with their colleagues. When they are ready they can push their code and the stack they are developing on to a test environment and execute any required tests. From the testing environment you can then push your Docker images into production and deploy your code.

• Deploy and scale more easily

Docker's container platform allows you to have highly portable workloads. Docker containers can run on a developer's local host, on physical or virtual machines in a data center or in the Cloud.

Docker's portability and lightweight nature also makes managing workloads dynamically easy. You can use Docker to build and scale out applications and services. Docker's speed means that scaling can be near real time.

• Get higher density and run more workloads

Docker is lightweight and fast. It provides a viable (and cost-effective!) alternative to hypervisor-based virtual machines. This is especially useful in high density environments, for example building your own Cloud or Platform-as-a-Service. But it is also useful for small and medium deployments where you want to get more out of the resources you have.

What are the major Docker components?

Docker has two major components:

• Docker: the open source container virtualization platform.
• Docker.io: our Software-as-a-Service platform for sharing and managing Docker containers.

Note: Docker is licensed with the open source Apache 2.0 license.

What is the architecture of Docker?

Docker has a client-server architecture. The Docker client talks to the Docker daemon which does the heavy lifting of building, running and distributing your Docker containers. Both the Docker client and the daemon can run on the same system, or you can connect a Docker client with a remote Docker daemon. The Docker client and service can communicate via sockets or through a RESTful API.

The Docker daemon

As shown on the diagram above, the Docker daemon runs on a host machine. The user does not directly interact with the daemon, but instead through the Docker client.

The Docker client

The Docker client, in the form of the docker binary, is the primary user interface to Docker. It is tasked with accepting commands from the user and communicating back and forth with a Docker daemon.

Inside Docker

Inside Docker there are three concepts we’ll need to understand:

• Docker images.
• Docker registries.
• Docker containers.

Docker images

The Docker image is a read-only template, for example an Ubuntu operating system with Apache and your web application installed. Docker containers are created from images. You can download Docker images that other people have created or Docker provides a simple way to build new images or update existing images. You can consider Docker images to be the build portion of Docker.

Docker Registries

Docker registries hold images. These are public (or private!) stores that you can upload or download images to and from. The public Docker registry is called Docker.io. It provides a huge collection of existing images that you can use. These images can be images you create yourself or you can make use of images that others have previously created. You can consider Docker registries the distribution portion of Docker.

Docker containers

Docker containers are like a directory. A Docker container holds everything that is needed for an application to run. Each container is created from a Docker image. Docker containers can be run, started, stopped, moved and deleted. Each container is an isolated and secure application platform. You can consider Docker containers the run portion of Docker.

So how does Docker work?

We've learned so far that:

1. You can build Docker images that hold your applications.
2. You can create Docker containers from those Docker images to run your applications.
3. You can share those Docker images via Docker.io or your own registry.

Let's look at how these elements combine together to make Docker work.

How does a Docker Image work?

We've already seen that Docker images are read-only templates that Docker containers are launched from. Each image consists of a series of layers. Docker makes use of union file systems to combine these layers into a single image. Union file systems allow files and directories of separate file systems, known as branches, to be transparently overlaid, forming a single coherent file system.

One of the reasons Docker is so lightweight is because of these layers. When you change a Docker image, for example update an application to a new version, this builds a new layer. Hence, rather than replacing the whole image or entirely rebuilding, as you may do with a virtual machine, only that layer is added or updated. Now you don't need to distribute a whole new image, just the update, making distributing Docker images fast and simple.

Every image starts from a base image, for example ubuntu, a base Ubuntu image, or fedora, a base Fedora image. You can also use images of your own as the basis for a new image, for example if you have a base Apache image you could use this as the base of all your web application images.

Note:
Docker usually gets these base images from Docker.io.

Docker images are then built from these base images using a simple descriptive set of steps we call instructions. Each instruction creates a new layer in our image. Instructions include steps like:

• Run a command.
• Add a file or directory.
• Create an environment variable.
• What process to run when launching a container from this image.

These instructions are stored in a file called a Dockerfile. Docker reads this Dockerfile when you request an image be built, executes the instructions and returns a final image.

How does a Docker registry work?

The Docker registry is the store for your Docker images. Once you build a Docker image you can push it to a public registry Docker.io or to your own registry running behind your firewall.

Using the Docker client, you can search for already published images and then pull them down to your Docker host to build containers from them.

Docker.io provides both public and private storage for images. Public storage is searchable and can be downloaded by anyone. Private storage is excluded from search results and only you and your users can pull them down and use them to build containers. You can sign up for a plan here.

How does a container work?

A container consists of an operating system, user added files and meta-data. As we've discovered each container is built from an image. That image tells Docker what the container holds, what process to run when the container is launched and a variety of other configuration data. The Docker image is read-only. When Docker runs a container from an image it adds a read-write layer on top of the image (using a union file system as we saw earlier) in which your application is then run.

What happens when you run a container?

The Docker client using the docker binary, or via the API, tells the Docker daemon to run a container. Let's take a look at what happens next.

$ docker run -i -t ubuntu /bin/bash

Let's break down this command. The Docker client is launched using the docker binary with the run option telling it to launch a new container. The bare minimum the Docker client needs to tell the Docker daemon to run the container is:

• What Docker image to build the container from, here ubuntu, a base Ubuntu image;
• The command you want to run inside the container when it is launched, here bin/bash to shell the Bash shell inside the new container.

So what happens under the covers when we run this command?

Docker begins with:

• Pulling the ubuntu image:
  Docker checks for the presence of the ubuntu image and if it doesn't exist locally on the host, then Docker downloads it from Docker.io. If the image already exists then Docker uses it for the new container.
• Creates a new container:
  Once Docker has the image it creates a container from it:
  • Allocates a filesystem and mounts a read-write layer:
    The container is created in the file system and a read-write layer is added to the image.
  • Allocates a network / bridge interface:
    Creates a network interface that allows the Docker container to talk to the local host.
  • Sets up an IP address:
    Finds and attaches an available IP address from a pool.
• Executes a process that you specify:
  Runs your application, and;
• Captures and provides application output:
  Connects and logs standard input, outputs and errors for you to see how your application is running.

Now you have a running container! From here you can manage your running container, interact with your application and then when finished stop and remove your container.

The underlying technology

Docker is written in Go and makes use of several Linux kernel features to deliver the features we've seen.

Namespaces

Docker takes advantage of a technology called namespaces to provide an isolated workspace we call a container. When you run a container, Docker creates a set of namespaces for that container.

This provides a layer of isolation: each aspect of a container runs in its own namespace and does not have access outside it.

Some of the namespaces that Docker uses are:

• The pid namespace: Used for process isolation (PID: Process ID).
• The net namespace: Used for managing network interfaces (NET: Networking).
• The ipc namespace: Used for managing access to IPC resources (IPC: InterProcess Communication).
• The mnt namespace: Used for managing mount-points (MNT: Mount).
• The uts namespace: Used for isolating kernel and version identifiers. (UTS: Unix Timesharing System).

Control groups

Docker also makes use of another technology called cgroups or control groups. A key need to run applications in isolation is to have them only use the resources you want. This ensures containers are good multi-tenant citizens on a host. Control groups allow Docker to share available hardware resources to containers and if required, set up to limits and constraints, for example limiting the memory available to a specific container.

Union file systems

Union file systems or UnionFS are file systems that operate by creating layers, making them very lightweight and fast. Docker uses union file systems to provide the building blocks for containers. We learned about union file systems earlier in this document. Docker can make use of several union file system variants including: AUFS, btrfs, vfs, and DeviceMapper.

Container format

Docker combines these components into a wrapper we call a container format. The default container format is called libcontainer. Docker also supports traditional Linux containers using LXC. In future Docker may support other container formats, for example integration with BSD Jails or Solaris Zones.

Next steps

Learning how to use Docker

Visit Working with Docker.

Installing Docker

Visit the installation section.

Get the whole story

https://www.docker.io/the_whole_story/