This article is deprecated and no longer maintained.
This article may still be useful as a reference, but may not work or follow best practices. We strongly recommend using a recent article written for the operating system you are using.
The latest version of this article is available at How To Install and Use Docker on Ubuntu 16.04.
The provided use cases are limitless and the need has always been there. <a href=“https://www.docker.io/”>Docker</a> is here to offer you an efficient, speedy way to port applications across systems and machines. It is light and lean, allowing you to quickly contain applications and run them within their own secure environments (via Linux Containers: LXC).
In this DigitalOcean article, we aim to thoroughly introduce you to Docker: one of the most exciting and powerful open-source projects to come to life in the recent years. Docker can help you with so much it’s unfair to attempt to summarize its capabilities in one sentence.
Whether it be from your development machine to a remote server for production, or packaging everything for use elsewhere, it is always a challenge when it comes to porting your application stack together with its dependencies and getting it to run without hiccups. In fact, the challenge is immense and solutions so far have not really proved successful for the masses.
In a nutshell, docker as a project offers you the complete set of higher-level tools to carry everything that forms an application across systems and machines - virtual or physical - and brings along loads more of great benefits with it.
Docker achieves its robust application (and therefore, process and resource) containment via Linux Containers (e.g. namespaces and other kernel features). Its further capabilities come from a project’s own parts and components, which extract all the complexity of working with lower-level linux tools/APIs used for system and application management with regards to securely containing processes.
Docker project (open-sourced by dotCloud in March '13) consists of several main parts (applications) and elements (used by these parts) which are all [mostly] built on top of already existing functionality, libraries and frameworks offered by the Linux kernel and third-parties (e.g. LXC, device-mapper, aufs etc.).
The following elements are used by the applications forming the docker project.
The entire procedure of porting applications using docker relies solely on the shipment of containers.
Docker containers are basically directories which can be packed (e.g. tar-archived) like any other, then shared and run across various different machines and platforms (hosts). The only dependency is having the hosts tuned to run the containers (i.e. have docker installed). Containment here is obtained via Linux Containers (LXC).
LXC (Linux Containers)
Linux Containers can be defined as a combination various kernel-level features (i.e. things that Linux-kernel can do) which allow management of applications (and resources they use) contained within their own environment. By making use of certain features (e.g. namespaces, chroots, cgroups and SELinux profiles), the LXC contains application processes and helps with their management through limiting resources, not allowing reach beyond their own file-system (access to the parent’s namespace) etc.
Docker with its containers makes use of LXC, however, also brings along much more.
Docker containers have several main features.
and more, requiring much less resources than traditional virtual-machines used for isolated application deployments.
They do not allow;
and (also) more.
Being based and depending on LXC, from a technical aspect, these containers are like a directory (but a shaped and formatted one). This allows portability and gradual builds of containers.
Each container is layered like an onion and each action taken within a container consists of putting another block (which actually translates to a simple change within the file system) on top of the previous one. And various tools and configurations make this set-up work in a harmonious way altogether (e.g. union file-system).
What this way of having containers allows is the extreme benefit of easily launching and creating new containers and images, which are thus kept lightweight (thanks to gradual and layered way they are built). Since everything is based on the file-system, taking snapshots and performing roll-backs in time are cheap (i.e. very easily done / not heavy on resources), much like version control systems (VCS).
Each docker container starts from a docker image which forms the base for other applications and layers to come.
Docker images constitute the base of docker containers from which everything starts to form. They are very similar to default operating-system disk images which are used to run applications on servers or desktop computers.
Having these images (e.g. Ubuntu base) allow seamless portability across systems. They make a solid, consistent and dependable base with everything that is needed to run the applications. When everything is self-contained and the risk of system-level updates or modifications are eliminated, the container becomes immune to external exposures which could put it out of order - preventing the dependency hell.
As more layers (tools, applications etc.) are added on top of the base, new images can be formed by committing these changes. When a new container gets created from a saved (i.e. committed) image, things continue from where they left off. And the union file system, brings all the layers together as a single entity when you work with a container.
These base images can be explicitly stated when working with the docker CLI to directly create a new container or they might be specified inside a Dockerfile for automated image building.
Dockerfiles are scripts containing a successive series of instructions, directions, and commands which are to be executed to form a new docker image. Each command executed translates to a new layer of the onion, forming the end product. They basically replace the process of doing everything manually and repeatedly. When a Dockerfile is finished executing, you end up having formed an image, which then you use to start (i.e. create) a new container.
At first, docker was only available on Ubuntu. Nowadays, it is possible to deploy docker on RHEL based systems (e.g. CentOS) and others as well.
Let’s quickly go over the installation process for Ubuntu.
Note: Docker can be installed automatically on your Droplet by adding this script to its User Data when launching it. Check out this tutorial to learn more about Droplet User Data.
The simplest way to get docker, other than using the pre-built application image, is to go with a 64-bit Ubuntu 14.04 VPS
Update your droplet:
sudo apt-get update sudo apt-get -y upgrade
Make sure aufs support is available:
sudo apt-get install linux-image-extra-`uname -r`
Add docker repository key to apt-key for package verification:
sudo apt-key adv --keyserver hkp://pgp.mit.edu:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D
Add the docker repository to Apt sources:
echo "deb https://apt.dockerproject.org/repo ubuntu-trusty main" | sudo tee /etc/apt/sources.list.d/docker.list
Update the repository with the new addition:
sudo apt-get update
Finally, download and install docker:
sudo apt-get install docker-engine
Ubuntu’s default firewall (UFW: Uncomplicated Firewall) denies all forwarding traffic by default, which is needed by docker.
Enable forwarding with UFW:
Edit UFW configuration using the nano text editor.
sudo nano /etc/default/ufw
Scroll down and find the line beginning with DEFAULT_FORWARD_POLICY.
Press CTRL+X and approve with Y to save and close.
Finally, reload the UFW:
sudo ufw reload
For a full set of instructions, check out docker documentation for installation here.
Once you have docker installed, its intuitive usage experience makes it very easy to work with. By now, you shall have the docker daemon running in the background. If not, use the following command to run the docker daemon.
To run the docker daemon:
sudo docker -d &
Using docker (via CLI) consists of passing it a chain of options and commands followed by arguments. Please note that docker needs sudo privileges in order to work.
sudo docker [option] [command] [arguments]
Note: Below instructions and explanations are provided to be used as a guide and to give you an overall idea of using and working with docker. The best way to get familiar with it is practice on a new VPS. Do not be afraid of breaking anything– in fact, do break things! With docker, you can save your progress and continue from there very easily.
Let’s begin with seeing all available commands docker have.
Ask docker for a list of all available commands:
All currently (as of 0.7.1) available commands:
attach Attach to a running container build Build a container from a Dockerfile commit Create a new image from a container's changes cp Copy files/folders from the containers filesystem to the host path diff Inspect changes on a container's filesystem events Get real time events from the server export Stream the contents of a container as a tar archive history Show the history of an image images List images import Create a new filesystem image from the contents of a tarball info Display system-wide information insert Insert a file in an image inspect Return low-level information on a container kill Kill a running container load Load an image from a tar archive login Register or Login to the docker registry server logs Fetch the logs of a container port Lookup the public-facing port which is NAT-ed to PRIVATE_PORT ps List containers pull Pull an image or a repository from the docker registry server push Push an image or a repository to the docker registry server restart Restart a running container rm Remove one or more containers rmi Remove one or more images run Run a command in a new container save Save an image to a tar archive search Search for an image in the docker index start Start a stopped container stop Stop a running container tag Tag an image into a repository top Lookup the running processes of a container version Show the docker version information wait Block until a container stops, then print its exit code
Check out system-wide information and docker version:
# For system-wide information on docker: sudo docker info # For docker version: sudo docker version
As we have discussed at length, the key to start working with any docker container is using images. There are many freely available images shared across docker image index and the CLI allows simple access to query the image repository and to download new ones.
When you are ready, you can also share your image there as well. See the section on “push” further down for details.
Searching for a docker image:*
# Usage: sudo docker search [image name] sudo docker search ubuntu
This will provide you a very long list of all available images matching the query: Ubuntu.
Downloading (PULLing) an image:
Either when you are building / creating a container or before you do, you will need to have an image present at the host machine where the containers will exist. In order to download images (perhaps following “search”) you can execute pull to get one.
# Usage: sudo docker pull [image name] sudo docker pull ubuntu
All the images on your system, including the ones you have created by committing (see below for details), can be listed using “images”. This provides a full list of all available ones.
# Example: sudo docker images sudo docker images REPOSITORY TAG IMAGE ID CREATED VIRTUAL SIZE my_img latest 72461793563e 36 seconds ago 128 MB ubuntu 12.04 8dbd9e392a96 8 months ago 128 MB ubuntu latest 8dbd9e392a96 8 months ago 128 MB ubuntu precise 8dbd9e392a96 8 months ago 128 MB ubuntu 12.10 b750fe79269d 8 months ago 175.3 MB ubuntu quantal b750fe79269d 8 months ago 175.3 MB
Committing changes to an image:
As you work with a container and continue to perform actions on it (e.g. download and install software, configure files etc.), to have it keep its state, you need to “commit”. Committing makes sure that everything continues from where they left next time you use one (i.e. an image).
# Usage: sudo docker commit [container ID] [image name] sudo docker commit 8dbd9e392a96 my_img
Sharing (PUSHing) images:
Although it is a bit early at this moment - in our article, when you have created your own container which you would like to share with the rest of the world, you can use push to have your image listed in the index where everybody can download and use.
Please remember to “commit” all your changes.
# Usage: sudo docker push [username/image name] sudo docker push my_username/my_first_image
Note: You need to sign-up at index.docker.io to push images to docker index.
When you “run” any process using an image, in return, you will have a container. When the process is not actively running, this container will be a non-running container. Nonetheless, all of them will reside on your system until you remove them via rm command.
Listing all current containers:
By default, you can use the following to list all running containers:
sudo docker ps
To have a list of both running and non-running ones, use:
sudo docker ps -l
It is currently not possible to create a container without running anything (i.e. commands). To create a new container, you need to use a base image and specify a command to run.
# Usage: sudo docker run [image name] [command to run] sudo docker run my_img echo "hello" # To name a container instead of having long IDs # Usage: sudo docker run -name [name] [image name] [comm.] sudo docker run -name my_cont_1 my_img echo "hello"
This will output “hello” and you will be right back where you were. (i.e. your host’s shell)
As you can not change the command you run after having created a container (hence specifying one during “creation”), it is common practice to use process managers and even custom launch scripts to be able to execute different commands.
Running a container:
When you create a container and it stops (either due to its process ending or you stopping it explicitly), you can use “run” to get the container working again with the same command used to create it.
# Usage: sudo docker run [container ID] sudo docker run c629b7d70666
Remember how to find the containers? See above section for listing them.
Stopping a container:
To stop a container’s process from running:
# Usage: sudo docker stop [container ID] sudo docker stop c629b7d70666
Saving (committing) a container:
If you would like to save the progress and changes you made with a container, you can use “commit” as explained above to save it as an image.
This command turns your container to an image.
Remember that with docker, commits are cheap. Do not hesitate to use them to create images to save your progress with a container or to roll back when you need (e.g. like snapshots in time).
Removing / Deleting a container:
Using the ID of a container, you can delete one with rm.
# Usage: sudo docker rm [container ID] sudo docker rm c629b7d70666
You can learn more about Docker by reading their <a href=“http://docs.docker.io/en/latest/”>official documentation</a>
Remember: Things are progressing very fast at docker. The momentum powered by the community is amazing and many large companies try to join in offering support. However, the product is still not labeled as production ready, hence not recommended to be 100% trusted with mission critical deployments - yet. Be sure to check releases as they come out and continue keeping on top of all things docker.
<div class=“author”>Submitted by: <a href=“https://twitter.com/ostezer”>O.S. Tezer</a></div>
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nice article! just a small clarification -
sudo docker ps -lshows only the latest created container, include non-running ones.
sudo docker ps -ashows all containers. Only running containers are shown by default.
For those considering Docker, here are three arguments for Docker that are clear benefits and cannot be argued against:
A) Ability to easily diff containers. It improves debugging, allows faster sharing of the environment, and quicker deployments. This is a big plus and there aren’t any competing solutions.
B) Ability to debug DevOps (like chef recipes) locally without having to pay the penalty of the slow boot of a VM or AWS instance. http://flux7.com/blogs/docker/docker-tutorial-series-part-1-an-introduction/
To specify name while creating containers, the command should be:
sudo docker run --name SUGGESTED_CONTAINER_NAME IMAGE_NAME echo “hello”
please note that a Digitial Ocean Ubuntu Droplet comes with an inactive UFW:
Starting with docker is made simple by using New Docker tool called “Docker machine” Simple tutorial is available at http://jadatravu.blogspot.sg/2014/12/docker-machine-virtualbox-steps.html
I’ve been trying to setup the docker in Ubuntu 14.04.1 LTS and encountered the error when pulling an ubuntu image:
Get https://index.docker.io/v1/repositories/library/ubuntu/images: read tcp 18.104.22.168:443: connection reset by peer
Anyone encountered this issue?
1.In a LAMP scenario (serving static, wordpress and drupal sites) do I have to create separate container for apache, mysql, and php or they be must in one container? 2. with LAMP and nginx as reverse proxy, what’s the solution - apache on the host and everything else on separate containers? What if I want to use other services, like varnish, memcached or etc.
@webmaster: Nice catch! I’ve fixed it, thanks.
Usage: sudo docker run -name [name] [image name] [comm.]
sudo docker run my_img -name my_cont_1 echo “hello”
Probably want to fix the example command. Name and image name are switched.
Thanks! Great introduction to docker!!