Containerizing Deno Applications with Docker: Step-by-Step Tutorial

Containerizing applications has become a standard practice in modern software development, enabling consistency, portability, and ease of deployment. Deno, a secure runtime for JavaScript and TypeScript, can also benefit from containerization using Docker. This tutorial provides a step-by-step guide to containerize your Deno applications with Docker.

Prerequisites

  • Basic knowledge of Deno and JavaScript/TypeScript
  • Docker installed on your machine
  • A simple Deno application to containerize

Step 1: Prepare Your Deno Application

Create a simple Deno application or use an existing one. For example, save the following code as app.ts:

import { serve } from "https://deno.land/[email protected]/http/server.ts";

const server = serve({ port: 8000 });
console.log("HTTP server running on http://localhost:8000/");

for await (const req of server) {
  req.respond({ body: "Hello from Deno inside Docker!" });
}

Step 2: Create a Dockerfile

In the same directory as your app.ts, create a file named Dockerfile with the following content:

FROM denoland/deno:latest

WORKDIR /app

COPY app.ts .

CMD ["run", "--allow-net", "app.ts"]

Step 3: Build the Docker Image

Open your terminal, navigate to the directory containing your Dockerfile, and run the following command to build your Docker image:

docker build -t deno-app .

Step 4: Run the Container

Start a container from your image with the command:

docker run -d -p 8000:8000 --name my-deno-app deno-app

Visit http://localhost:8000 in your browser to see your Deno application running inside Docker.

Step 5: Managing Your Container

To stop and remove the container, use:

docker stop my-deno-app
docker rm my-deno-app

You can also view logs with:

docker logs my-deno-app

Conclusion

Containerizing Deno applications with Docker simplifies deployment and ensures consistency across environments. By following this tutorial, you can quickly set up, run, and manage your Deno projects inside Docker containers, making development and production workflows more efficient.