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Clojure Functional Programming & JVM Backend Development · Lesson

Containerization with Docker

Learn to package your Clojure applications into Docker containers for consistent deployment across environments.

Containerization with Docker is a free Clojure Functional Programming & JVM Backend Development lesson on CoddyKit — lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Clojure Functional Programming & JVM Backend Development learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

What is Docker?

Docker helps you package your applications and all their dependencies into standardized units called containers. Think of it as a lightweight virtual machine, but much more efficient!

For Clojure developers, Docker ensures your application runs exactly the same way on your machine, a teammate's machine, or in the cloud. No more "it works on my machine" problems!

Images vs. Containers

At Docker's core are two main concepts:

  • Images: These are read-only templates, like a blueprint for your application. They contain your code, libraries, and runtime.
  • Containers: These are runnable instances of an image. You can start, stop, move, or delete a container without affecting the image.

A Dockerfile is a script that tells Docker how to build an image.

Starting Your Dockerfile

Every Dockerfile starts with a FROM instruction. This specifies the base image your application will build upon. For Clojure, an OpenJDK (Java Development Kit) image is a great choice.

The WORKDIR instruction sets the default directory for subsequent commands in the image.

FROM openjdk:17-jdk-slim
WORKDIR /app

Project Dependencies (deps.edn)

Our Clojure web app will need a library to handle HTTP requests. We'll use Ring's Jetty adapter. This dependency is declared in your deps.edn file, which Clojure uses for dependency management.

We define a map where keys are library names and values specify their version. This tells Clojure how to find and download the necessary code.

{:deps {ring/ring-jetty-adapter {:mvn/version "1.9.5"}}}

Our Simple Web App

Now, let's write a minimal Clojure web server. This file, src/server.clj, will be the entry point for our application. It starts a Jetty server that listens on port 3000 and responds with "Hello from Docker!".

Try running it locally first (after setting up deps.edn and running clojure -P):

(ns server
  (:require [ring.adapter.jetty :as jetty])
  (:gen-class))

(defn handler [request]
  {:status 200
   :headers {"Content-Type" "text/plain"}
   :body "Hello from Clojure in Docker!"})

(defn -main []
  (println "Starting server on port 3000...")
  (jetty/run-jetty handler {:port 3000 :join? false}))

Copying Code & Installing Deps

Next, we copy our deps.edn and source code into the container. It's good practice to copy deps.edn first and run clojure -P. If deps.edn doesn't change, Docker can reuse this layer, making builds faster.

Then, we copy the rest of our project files.

FROM openjdk:17-jdk-slim
WORKDIR /app
COPY deps.edn .
RUN clojure -P
COPY src src

Finalizing the Dockerfile

For a web app, we need to tell Docker which port our application listens on. The EXPOSE instruction documents this. Then, CMD specifies the command to execute when the container starts, launching our Clojure app.

Our Clojure app runs the -main function in the server namespace.

FROM openjdk:17-jdk-slim
WORKDIR /app
COPY deps.edn .
RUN clojure -P
COPY src src
EXPOSE 3000
CMD ["clojure", "-M", "-m", "server"]

Building Your Image

With the Dockerfile and our Clojure project ready, we can now build the Docker image. Navigate to your project's root directory (where Dockerfile, deps.edn, and src are located) and run this command:

  • -t tags your image with a name and optional version.
  • . tells Docker to look for the Dockerfile in the current directory.
docker build -t my-clojure-web-app .

Running Your Container

Once the image is built, you can run it as a container. We'll use the -p flag to map a port on your host machine (e.g., 8080) to the port inside the container (3000, as exposed by our app).

After running, open your browser to http://localhost:8080 to see your Clojure app!

docker run -p 8080:3000 my-clojure-web-app

Why Containerize?

Containerizing your Clojure applications offers many benefits:

  • Consistency: Your app runs the same everywhere.
  • Isolation: Containers isolate your app from other apps and the host system.
  • Portability: Easily move your app between different environments.
  • Scalability: Quickly spin up multiple instances of your app.

This makes deployment and management much simpler for Clojure services.

Dockerfile Commands Check

Which of the following Dockerfile instructions are correctly described?

Recap: Docker for Clojure

You've learned how Docker helps package Clojure applications for consistent deployment. We covered:

  • The core concepts of Images and Containers.
  • Writing a Dockerfile with key instructions like FROM, WORKDIR, COPY, RUN, EXPOSE, and CMD.
  • Building a Docker image and running it as a container.

This knowledge is crucial for deploying robust Clojure microservices!

Frequently asked questions

Is the “Containerization with Docker” lesson free?

Yes — the full text of “Containerization with Docker” is free to read here on the web, and the Clojure Functional Programming & JVM Backend Development course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Clojure Functional Programming & JVM Backend Development course, upgrade to CoddyKit PRO.

What will I learn in “Containerization with Docker”?

Learn to package your Clojure applications into Docker containers for consistent deployment across environments. You practise Clojure Functional Programming & JVM Backend Development with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Clojure Functional Programming & JVM Backend Development?

No prior experience is required. Clojure Functional Programming & JVM Backend Development on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Containerization with Docker” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Clojure Functional Programming & JVM Backend Development lesson?

Yes. Every Clojure Functional Programming & JVM Backend Development lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Designing Clojure Microservices
  2. Containerization with Docker
  3. Deploying to Cloud Platforms
  4. Service Discovery & API Gateways
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