Docker is a tool that allows developers to easily deploy their applications in a sandbox (called containers) to run on the host operating system i.e. Linux. The key benefit of Docker is that it allows users to package an application with all of its dependencies into a standardized unit for software development.
In the last section, we used a lot of Docker-specific jargon which might be confusing to some. So before we go further, let me clarify some terminology that is used frequently in the Docker ecosystem.
Before you can run the application, you need to get the application source code onto your machine.
Clone the getting-started repository using the following command:
git clone <https://github.com/docker/getting-started.git>
View the contents of the cloned repository. Inside the getting-started/app
directory you should see package.json
and two subdirectories (src
and spec
).
To build the container image, you’ll need to use a Dockerfile. A Dockerfile is simply a text-based file with no file extension that contains a script of instructions. Docker uses this script to build a container image.
In the app
directory, the same location as the package.json
file, create a file named Dockerfile
.
In the terminal, run the following commands listed below.
Change directory to the app
directory. Replace /path/to/app
with the path to your getting-started/app
directory.
cd /path/to/app
Create an empty file named Dockerfile
.
touch Dockerfile
Using a text editor or code editor, add the following contents to the :
# syntax=docker/dockerfile:1
FROM node:18-alpine
WORKDIR /app
COPY . .
RUN yarn install --production
CMD ["node", "src/index.js"]
EXPOSE 3000
Build the container image using the following commands:
In the terminal, change directory to the getting-started/app
directory. Replace /path/to/app
with the path to your getting-started/app
directory.
cd /path/to/app
Build the container image.
sudo docker build -t getting-started .
The docker build
command uses the Dockerfile to build a new container image. You might have noticed that Docker downloaded a lot of “layers”. This is because you instructed the builder that you wanted to start from the node:18-alpine image. But, since you didn’t have that on your machine, Docker needed to download the image.
After Docker downloaded the image, the instructions from the Dockerfile copied in your application and used yarn to install your application’s dependencies. The CMD
directive specifies the default command to run when starting a container from this image.
Finally, the -t
flag tags your image. Think of this simply as a human-readable name for the final image. Since you named the image getting-started
, you can refer to that image when you run a container.
The .
at the end of the docker build
command tells Docker that it should look for the Dockerfile
in the current directory.
Now that you have an image, you can run the application in a container. To do so, you will use the docker run
command.
Start your container using the docker run
command and specify the name of the image you just created:
docker run -dp 127.0.0.1:3000:3000 getting-started
The -d
flag (short for --detached
) runs the container in the background. The -p
flag (short for --publish
) creates a port mapping between the host and the container. The -p
flag take a string value in the format of HOST:CONTAINER
, where HOST
is the address on the host, and CONTAINER
is the port on the container. The command shown here publishes the container’s port 3000 to 127.0.0.1:3000
(localhost:3000
) on the host. Without the port mapping, you wouldn’t be able to access the application from the host.
After a few seconds, open your web browser to http://localhost:3000. You should see your app.
Go ahead and add an item or two and see that it works as you expect. You can mark items as complete and remove them. Your frontend is successfully storing items in the backend.
At this point, you should have a running todo list manager with a few items, all built by you.
If you take a quick look at your containers, you should see at least one container running that is using the getting-started image and on port 3000. To see your containers, you can use the CLI or Docker Desktop’s graphical interface.
Run the following docker ps
command in a terminal to list your containers.
docker ps
Output similar to the following should appear.
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
e8b3d0bc6b82 getting-started "docker-entrypoint.s…" About a minute ago Up About a minute 127.0.0.1:3000->3000/tcp recursing_bartik
You can stop the container with:
sudo docker stop <CONTAINER_ID>
Check the result with docker ps
.
You're probably wondering if there is a way to run more than just one command in a container. Let's try that now:
docker run -it getting-started sh
Running the run command with the -it
flags attaches us to an interactive tty in the container. Now we can run as many commands in the container as we want. Take some time to run your favorite commands. You can exit with CTRL+D
.
To get started, let's run the following in our terminal:
sudo docker pull busybox
The pull
command fetches the busybox image from the Docker registry and saves it to our system. You can use the docker images
command to see a list of all images on your system.
docker images