Skip to content

Instantly share code, notes, and snippets.

@junaidk
Last active March 2, 2020 07:51
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save junaidk/772039956b95f18f09a0c5ad74f3ae2f to your computer and use it in GitHub Desktop.
Save junaidk/772039956b95f18f09a0c5ad74f3ae2f to your computer and use it in GitHub Desktop.
Docker overview
  • Docker overview

    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.

    The Docker platform

    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.

    Docker provides tooling and a platform to manage the lifecycle of your containers:

    • Develop your application and its supporting components using containers.
    • The container becomes the unit for distributing and testing your application.
    • When you’re ready, deploy your application into your production environment, as a container.

    Docker Engine

    Docker Engine is a client-server application with these major components:

    • A server which is a type of long-running program called a daemon process (the dockerd command).
    • A REST API which specifies interfaces that programs can use to talk to the daemon and instruct it what to do.
    • A command line interface (CLI) client (the docker command).

    docker engine

    What can I use Docker for?

    • Fast, consistent delivery of your applications
    • Responsive deployment and scaling
    • Running more workloads on the same hardware

    Docker architecture

    Docker uses 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. The Docker client and daemon can run on the same system, or you can connect a Docker client to a remote Docker daemon. The Docker client and daemon communicate using a REST API, over UNIX sockets or a network interface.

    docker architecture

    The Docker daemon

    The Docker daemon (dockerd) listens for Docker API requests and manages Docker objects such as images, containers, networks, and volumes. A daemon can also communicate with other daemons to manage Docker services.

    The Docker client

    The Docker client (docker) is the primary way that many Docker users interact with Docker. When you use commands such as docker run, the client sends these commands to dockerd, which carries them out. The docker command uses the Docker API. The Docker client can communicate with more than one daemon.

    Docker registries

    A Docker registry stores Docker images. Docker Hub is a public registry that anyone can use, and Docker is configured to look for images on Docker Hub by default. You can even run your own private registry.

    When you use the docker pull or docker run commands, the required images are pulled from your configured registry. When you use the docker push command, your image is pushed to your configured registry.

    Docker objects

    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.

    IMAGES

    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. For example, you may build an image which is based on the ubuntu image, but installs the Apache web server and your application, as well as the configuration details needed to make your application run.

    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.

    CONTAINERS

    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’s network, storage, or other underlying subsystems are from other containers or from the host machine.

    A container is defined by its image as well as any configuration options you provide to it when you create or start it. When a container is removed, any changes to its state that are not stored in persistent storage disappear.

    Example docker run command

    The following command runs an ubuntu container, attaches interactively to your local command-line session, and runs /bin/bash.

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

    When you run this command, the following happens (assuming you are using the default registry configuration):

    1. If you do not have the ubuntu image locally, Docker pulls it from your configured registry, as though you had run docker pull ubuntu manually.
    2. Docker creates a new container, as though you had run a docker container create command manually.
    3. Docker allocates a read-write filesystem to the container, as its final layer. This allows a running container to create or modify files and directories in its local filesystem.
    4. Docker creates a network interface to connect the container to the default network, since you did not specify any networking options. This includes assigning an IP address to the container. By default, containers can connect to external networks using the host machine’s network connection.
    5. Docker starts the container and executes /bin/bash. Because the container is running interactively and attached to your terminal (due to the -i and -t flags), you can provide input using your keyboard while the output is logged to your terminal.
    6. When you type exit to terminate the /bin/bash command, the container stops but is not removed. You can start it again or remove it.

    The underlying technology

    Docker is written in Go and takes advantage of several features of the Linux kernel to deliver its functionality.

    Namespaces

    Docker uses a technology called namespaces to provide the isolated workspace called the container. When you run a container, Docker creates a set of namespaces for that container.

    These namespaces provide a layer of isolation. Each aspect of a container runs in a separate namespace and its access is limited to that namespace.

    Docker Engine uses namespaces such as the following on Linux:

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

    Control groups

    Docker Engine on Linux also relies on another technology called control groups (cgroups). A cgroup limits an application to a specific set of resources. Control groups allow Docker Engine to share available hardware resources to containers and optionally enforce limits and constraints. For example, you can limit 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 Engine uses UnionFS to provide the building blocks for containers. Docker Engine can use multiple UnionFS variants, including AUFS, btrfs, vfs, and DeviceMapper.

    Container format

    Docker Engine combines the namespaces, control groups, and UnionFS into a wrapper called a container format. The default container format is libcontainer. In the future, Docker may support other container formats by integrating with technologies such as BSD Jails or Solaris Zones.

    Docker

    Study material

    Hands-on

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment