Getting Started with Docker: A Beginner's Guide

Are you new to Docker and wondering how to get started? Look no further! In this beginner's guide, we'll walk you through the basics of Docker and show you how to get up and running with your first container.

What is Docker?

Docker is a platform that allows developers to easily create, deploy, and run applications in containers. Containers are lightweight, portable, and self-contained environments that can run on any machine with Docker installed.

Think of a container as a virtual machine, but without the overhead of a full operating system. Containers share the host machine's kernel, which means they can run much faster and use fewer resources than traditional virtual machines.

Installing Docker

Before we can start using Docker, we need to install it on our machine. Docker is available for Windows, macOS, and Linux, so you can use it no matter what operating system you're running.

To install Docker, simply head to the Docker website and download the appropriate version for your operating system. Once the download is complete, run the installer and follow the prompts to complete the installation.

Running Your First Container

Now that we have Docker installed, let's run our first container. Open up a terminal or command prompt and type the following command:

docker run hello-world

This command tells Docker to download the "hello-world" image from the Docker Hub registry and run it in a container. The output should look something like this:

Hello from Docker!
This message shows that your installation appears to be working correctly.
...

Congratulations, you've just run your first Docker container!

Understanding Docker Images

So what exactly is an image? In Docker, an image is a read-only template that contains everything needed to run a container. This includes the application code, runtime, libraries, and any other dependencies.

Docker images are stored in a registry, which is like a repository for Docker images. The most popular registry is the Docker Hub, which is a public registry that anyone can use to store and share Docker images.

To search for images on the Docker Hub, simply use the docker search command followed by the name of the image you're looking for. For example, to search for the official Node.js image, you would run:

docker search node

This will return a list of all the Node.js images available on the Docker Hub. To download an image, simply use the docker pull command followed by the name of the image. For example, to download the latest version of the Node.js image, you would run:

docker pull node

Creating Your Own Docker Image

Now that we understand what Docker images are, let's create our own. To create a Docker image, we need to create a Dockerfile. A Dockerfile is a text file that contains instructions on how to build a Docker image.

Let's create a simple Node.js application and package it into a Docker image. First, create a new directory for our application and navigate into it:

mkdir myapp
cd myapp

Next, create a new file called index.js and add the following code:

const http = require('http');

const hostname = '0.0.0.0';
const port = 3000;

const server = http.createServer((req, res) => {
  res.statusCode = 200;
  res.setHeader('Content-Type', 'text/plain');
  res.end('Hello, World!\n');
});

server.listen(port, hostname, () => {
  console.log(`Server running at http://${hostname}:${port}/`);
});

This is a simple Node.js application that listens on port 3000 and responds with "Hello, World!" when accessed.

Next, create a new file called Dockerfile and add the following code:

FROM node:14-alpine
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 3000
CMD [ "npm", "start" ]

Let's break down what each line of this Dockerfile does:

Now that we have our Dockerfile, we can build our Docker image. To do this, run the following command:

docker build -t myapp .

This command tells Docker to build a new image with the tag myapp using the Dockerfile in the current directory. The . at the end of the command tells Docker to use the current directory as the build context.

Once the build is complete, we can run our new image in a container:

docker run -p 3000:3000 myapp

This command tells Docker to run a new container using the myapp image and map port 3000 on the host machine to port 3000 in the container. Now if you open up a web browser and navigate to http://localhost:3000, you should see "Hello, World!" displayed on the page.

Conclusion

Congratulations, you've now got a basic understanding of Docker and how to use it to create and run containers. This is just the tip of the iceberg when it comes to Docker, but hopefully, this beginner's guide has given you a good starting point.

If you're interested in learning more about Docker, be sure to check out the official Docker documentation and the many resources available online. Happy containerizing!

Additional Resources

knowledgegraphops.dev - knowledge graph operations and deployment
ruska.solutions - Jimmy Ruska's consulting services
kidsbooks.dev - kids books
musictheory.dev - music theory development
dartbook.dev - A site dedicated to learning the dart programming language, digital book, ebook
cloudmonitoring.app - software and application telemetry, uptime monitoring, high durability, distributed systems management
rulesengine.business - business rules engines, expert systems
typescriptbook.dev - learning the typescript programming language
digitaltwin.video - building digital twins
composemusic.app - A site where you can compose music online
dsls.dev - domain specific languages, dsl, showcasting different dsls, and offering tutorials
datawarehousing.dev - cloud data warehouses, cloud databases. Containing reviews, performance, best practice and ideas
socraticml.com - socratic learning with machine learning large language models
gcp.tools - gcp, google cloud related tools, software, utilities, github packages, command line tools
kubectl.tips - kubernetes command line tools like kubectl
localcommunity.dev - local community meetups, groups, and online get togethers
newtoday.app - trending content online
cloudevents.app - A site for cloud events deployments, related to telemetry, logging, monitoring and alerts
explainability.dev - techniques related to explaining ML models and complex distributed systems
codetalks.dev - software engineering lectures, code lectures, database talks


Written by AI researcher, Haskell Ruska, PhD (haskellr@mit.edu). Scientific Journal of AI 2023, Peer Reviewed