Docker is an application that makes it simple and easy to run application processes in a container, which are like virtual machines, only more portable, more resource-friendly, and more dependent on the host operating system. For a detailed introduction to the different components of a Docker container, check out The Docker Ecosystem: An Introduction to Common Components.
In this tutorial, you’ll learn how to install and use it on an existing installation of Rocky Linux 9.
sudoprivileges set up using Initial Setup Guide for Rocky Linux 9 explains how to set this up.
All the commands in this tutorial should be run as a non-root user. If root access is required for the command, it will be preceded by
sudo. Initial Setup Guide for Rocky Linux 9 explains how to add users and give them sudo access.
The Docker installation package available in the official Rocky Linux 9 repository may not be the latest version. To get the latest and greatest version, install Docker from the official Docker repository. This section shows you how to do just that.
But first, let’s update the package database:
- sudo dnf check-update
Next, add the official Docker repository:
- sudo dnf config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
While there is no Rocky Linux specific repository from Docker, Rocky Linux is based upon CentOS and can use the same repository. With the repository added, install Docker, which is composed of three packages:
- sudo dnf install docker-ce docker-ce-cli containerd.io
After installation has completed, start the Docker daemon:
- sudo systemctl start docker
Verify that it’s running:
- sudo systemctl status docker
The output should be similar to the following, showing that the service is active and running:
Output● docker.service - Docker Application Container Engine Loaded: loaded (/lib/systemd/system/docker.service; enabled; vendor preset: enabled) Active: active (running) since Sun 2016-05-01 06:53:52 CDT; 1 weeks 3 days ago Docs: https://docs.docker.com Main PID: 749 (docker)
Lastly, make sure it starts at every server reboot:
- sudo systemctl enable docker
Installing Docker now gives you not just the Docker service (daemon) but also the
docker command line utility, or the Docker client. We’ll explore how to use the
docker command later in this tutorial.
By default, running the
docker command requires root privileges — that is, you have to prefix the command with
sudo. It can also be run by a user in the docker group, which is automatically created during the installation of Docker. If you attempt to run the
docker command without prefixing it with
sudo or without being in the docker group, you’ll get an output like this:
Outputdocker: Cannot connect to the Docker daemon. Is the docker daemon running on this host?. See 'docker run --help'.
If you want to avoid typing
sudo whenever you run the
docker command, add your username to the docker group:
- sudo usermod -aG docker $(whoami)
You will need to log out of the Droplet and back in as the same user to enable this change.
If you need to add a user to the
docker group that you’re not logged in as, declare that username explicitly using:
- sudo usermod -aG docker username
The rest of this article assumes you are running the
docker command as a user in the docker user group. If you choose not to, please prepend the commands with
With Docker installed and working, now’s the time to become familiar with the command line utility. Using
docker consists of passing it a chain of options and subcommands followed by arguments. The syntax takes this form:
- docker [option] [command] [arguments]
To view all available subcommands, type:
As of Docker 1.11.1, the complete list of available subcommands includes:
Outputattach Attach to a running container build Build an image from a Dockerfile commit Create a new image from a container's changes cp Copy files/folders between a container and the local filesystem create Create a new container diff Inspect changes on a container's filesystem events Get real time events from the server exec Run a command in a running container export Export a container's filesystem as a tar archive history Show the history of an image images List images import Import the contents from a tarball to create a filesystem image info Display system-wide information inspect Return low-level information on a container or image kill Kill a running container load Load an image from a tar archive or STDIN login Log in to a Docker registry logout Log out from a Docker registry logs Fetch the logs of a container network Manage Docker networks pause Pause all processes within a container port List port mappings or a specific mapping for the CONTAINER ps List containers pull Pull an image or a repository from a registry push Push an image or a repository to a registry rename Rename a container restart Restart a container rm Remove one or more containers rmi Remove one or more images run Run a command in a new container save Save one or more images to a tar archive search Search the Docker Hub for images start Start one or more stopped containers stats Display a live stream of container(s) resource usage statistics stop Stop a running container tag Tag an image into a repository top Display the running processes of a container unpause Unpause all processes within a container update Update configuration of one or more containers version Show the Docker version information volume Manage Docker volumes wait Block until a container stops, then print its exit code
To view the switches available to a specific command, type:
- docker docker-subcommand --help
To view system-wide information, use:
- docker info
Docker containers are run from Docker images. By default, it pulls these images from Docker Hub, a Docker registry managed by Docker, the company behind the Docker project. Anybody can build and host their Docker images on Docker Hub, so most applications and Linux distributions you’ll need to run Docker containers have images that are hosted on Docker Hub.
To check whether you can access and download images from Docker Hub, type:
- docker run hello-world
The output, which should include the following, should indicate that Docker in working correctly:
OutputHello from Docker. This message shows that your installation appears to be working correctly. ...
You can search for images available on Docker Hub by using the
docker command with the
search subcommand. For example, to search for the Rocky Linux image, type:
- docker search rockylinux
The script will crawl Docker Hub and return a listing of all images whose name match the search string. In this case, the output will be similar to this:
OutputNAME DESCRIPTION STARS OFFICIAL AUTOMATED centos The official build of CentOS. 2224 [OK] jdeathe/centos-ssh CentOS-6 6.7 x86_64 / CentOS-7 7.2.1511 x8... 22 [OK] jdeathe/centos-ssh-apache-php CentOS-6 6.7 x86_64 / Apache / PHP / PHP M... 17 [OK] million12/centos-supervisor Base CentOS-7 with supervisord launcher, h... 11 [OK] nimmis/java-centos This is docker images of CentOS 7 with dif... 10 [OK] torusware/speedus-centos Always updated official CentOS docker imag... 8 [OK] nickistre/centos-lamp LAMP on centos setup 3 [OK] ...
In the OFFICIAL column, OK indicates an image built and supported by the company behind the project. Once you’ve identifed the image that you would like to use, you can download it to your computer using the
pull subcommand, like so:
- docker pull rockylinux
After an image has been downloaded, you may then run a container using the downloaded image with the
run subcommand. If an image has not been downloaded when
docker is executed with the
run subcommand, the Docker client will first download the image, then run a container using it:
- docker run rockylinux
To see the images that have been downloaded to your computer, type:
- docker images
The output should look similar to the following:
[secondary_lable Output] REPOSITORY TAG IMAGE ID CREATED SIZE rockylinux latest 778a53015523 5 weeks ago 196.7 MB hello-world latest 94df4f0ce8a4 2 weeks ago 967 B
As you’ll see later in this tutorial, images that you use to run containers can be modified and used to generate new images, which may then be uploaded (pushed is the technical term) to Docker Hub or other Docker registries.
hello-world container you ran in the previous step is an example of a container that runs and exits, after emitting a test message. Containers, however, can be much more useful than that, and they can be interactive. After all, they are similar to virtual machines, only more resource-friendly.
As an example, let’s run a container using the latest image of Rocky Linux. The combination of the -i and -t switches gives you interactive shell access into the container:
- docker run -it rockylinux
Your command prompt should change to reflect the fact that you’re now working inside the container and should take this form:
Important: Note the container id in the command prompt. In the above example, it is
Now you may run any command inside the container. For example, let’s install MariaDB server in the running container. No need to prefix any command with
sudo, because you’re operating inside the container with root privileges:
- dnf install mariadb-server
When you start up a Docker image, you can create, modify, and delete files just like you can with a virtual machine. The changes that you make will only apply to that container. You can start and stop it, but once you destroy it with the
docker rm command, the changes will be lost for good.
This section shows you how to save the state of a container as a new Docker image.
After installing MariaDB server inside the Rocky Linux container, you now have a container running off an image, but the container is different from the image you used to create it.
To save the state of the container as a new image, first exit from it:
Then commit the changes to a new Docker image instance using the following command. The -m switch is for the commit message that helps you and others know what changes you made, while -a is used to specify the author. The container ID is the one you noted earlier in the tutorial when you started the interactive docker session. Unless you created additional repositories on Docker Hub, the repository is usually your Docker Hub username:
- docker commit -m "What did you do to the image" -a "Author Name" container-id repository/new_image_name
- docker commit -m "added mariadb-server" -a "Sunday Ogwu-Chinuwa" 59839a1b7de2 sammy/rockylinux-mariadb
Note: When you commit an image, the new image is saved locally, that is, on your computer. Later in this tutorial, you’ll learn how to push an image to a Docker registry like Docker Hub so that it may be assessed and used by you and others.
After that operation has completed, listing the Docker images now on your computer should show the new image, as well as the old one that it was derived from:
- docker images
The output should be of this sort:
OutputREPOSITORY TAG IMAGE ID CREATED SIZE sammy/rockylinux-mariadb latest 23390430ec73 6 seconds ago 424.6 MB rockylinux latest 778a53015523 5 weeks ago 196.7 MB hello-world latest 94df4f0ce8a4 2 weeks ago 967 B
In the above example, rockylinux-mariadb is the new image, which was derived from the existing Rocky Linux image from Docker Hub. The size difference reflects the changes that were made. And in this example, the change was that MariaDB server was installed. So next time you need to run a container using Rocky Linux with MariaDB server pre-installed, you can just use the new image. Images may also be built from what’s called a Dockerfile. But that’s a very involved process that’s well outside the scope of this article. We’ll explore that in a future article.
After using Docker for a while, you’ll have many active (running) and inactive containers on your computer. To view the active ones, use:
- docker ps
You will see output similar to the following:
OutputCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES f7c79cc556dd rockylinux "/bin/bash" 3 hours ago Up 3 hours silly_spence
To view all containers — active and inactive, pass it the
- docker ps -a
To view the latest container you created, pass it the
- docker ps -l
Stopping a running or active container is as simple as typing:
- docker stop container-id
container-id can be found in the output from the
docker ps command.
The next logical step after creating a new image from an existing image is to share it with a select few of your friends, the whole world on Docker Hub, or other Docker registry that you have access to. To push an image to Docker Hub or any other Docker registry, you must have an account there.
This section shows you how to push a Docker image to Docker Hub.
To create an account on Docker Hub, register at Docker Hub. Afterwards, to push your image, first log into Docker Hub. You’ll be prompted to authenticate:
- docker login -u docker-registry-username
If you specified the correct password, authentication should succeed. Then you may push your own image using:
- docker push docker-registry-username/docker-image-name
It will take sometime to complete, and when completed, the output will be of this sort:
OutputThe push refers to a repository [docker.io/sammy/rockylinux-mariadb] 670194edfaf5: Pushed 5f70bf18a086: Mounted from library/rockylinux 6a6c96337be1: Mounted from library/rockylinux ...
After pushing an image to a registry, it should be listed on your account’s dashboard, like that show in the image below.
If a push attempt results in an error of this sort, then you likely did not log in:
OutputThe push refers to a repository [docker.io/sammy/rockylinux-mariadb] e3fbbfb44187: Preparing 5f70bf18a086: Preparing a3b5c80a4eba: Preparing 7f18b442972b: Preparing 3ce512daaf78: Preparing 7aae4540b42d: Waiting unauthorized: authentication required
Log in, then repeat the push attempt.
There’s a whole lot more to Docker than has been given in this article, but this should be enough to getting you started working with it on Rocky Linux 9. Like most open source projects, Docker is built from a fast-developing codebase, so make a habit of visiting the project’s blog page for the latest information.
Also check out the other Docker tutorials in the DO Community.
Thanks for learning with the DigitalOcean Community. Check out our offerings for compute, storage, networking, and managed databases.