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Docker is an open platform for developing, shipping, and running applications. It allows you to separate your applications from your infrastructure so you can deliver software quickly. Visual Studio Code is a powerful free code editor that is available on multiple platforms including Windows, macOS, and Linux. When you combine Docker with VS Code you can create a powerful development environment and containerization for consistent and reproducible workflows.
In this post, we will cover the steps of using Docker with Visual Studio Code to create, manage, and deploy containerized applications.
Let’s understand the basic definition and key features of Docker and Visual Studio Code:
Docker simplifies and accelerates your workflow. It uses containerization technology to allow you to package your application and its dependencies into a single container. Containers are lightweight, portable, and run consistently across various environments. Key concepts in Docker include:
Visual Studio Code is a versatile code editor that supports a wide range of programming languages and frameworks. Key features include:
Before you can use Docker with VS Code, you need to install Docker on your Windows machine. After that open a command prompt and run the command:
docker --version
If you don’t already have Visual Studio Code installed refer to our guide on how to install Visual Code on Windows operating system. After that, open Visual Studio Code, you should see the welcome screen.
To integrate Docker with Visual Studio Code, you’ll need to install the Docker extension:
1. In VS Code, click on the Extensions icon in the Activity Bar on the side or press Ctrl+Shift+X.
2. Type “Docker” in the search bar.
3. Click the “Install” button next to the Docker extension by Microsoft.
4. After installation, reload VS Code to activate the extension.
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Create a new folder for your project on your local machine. Go to “File” then “Open Folder” and select the newly created folder.
In the project folder, create a new file named Dockerfile with no extension. Add the following content to the Dockerfile. This example uses a Node.js application:
Dockerfile
FROM node:14 WORKDIR /app COPY package*.json ./ RUN npm install COPY . . EXPOSE 3000 CMD ["node", "app.js"]
Ensure you save the file after adding the content.
Now, open the integrated terminal in VS Code using “View” and then “Terminal”, make sure you are in the project directory. Run the following command:
docker build -t my-node-app .
Run docker images to see your newly created image.
docker images
Use the following command to run the container from the image:
docker run -p 3000:3000 my-node-app
Open your web browser and go to http://localhost:3000 to see your running application.
In VS Code, go to “Run” then “Add Configuration” and select Node.js: Attach from the dropdown.
Node.js: Attach
Add the following configuration to .vscode/launch.json:
.vscode/launch.json
{ "version": "0.2.0", "configurations": [ { "type": "node", "request": "attach", "name": "Docker: Attach to Node", "port": 9229, "address": "localhost", "localRoot": "${workspaceFolder}", "remoteRoot": "/app" } ] }
Modify your Dockerfile to enable debugging:
FROM node:14 WORKDIR /app COPY package*.json ./ RUN npm install COPY . . EXPOSE 3000 9229 CMD ["node", "--inspect=0.0.0.0:9229", "app.js"]
Rebuild the Docker image with the debugging capabilities:
Run the container with the following command:
docker run -p 3000:3000 -p 9229:9229 my-node-app
Start the debugger in VS Code by going to “Run” then “Start Debugging” or pressing F5.
Using Docker with Visual Studio Code streamlines the development process, ensures consistency across environments, and enhances productivity. By following the steps outlined in this guide, you can create, run, and manage Dockerized applications efficiently. Whether you’re developing a small project or a large-scale application, the combination of Docker and VS Code provides a powerful and flexible development environment.
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Docker in Visual Studio Code helps you manage and run containerized applications directly from the editor.
Install Docker Desktop and the Docker extension for Visual Studio Code from the Extensions Marketplace.
Yes, you can debug Docker containers using the built-in debugging tools in Visual Studio Code.
Yes, Docker must be installed on your system to use it with Visual Studio Code.
Use the Docker extension to pull an image and run the container directly from the Visual Studio Code interface.
Yes, you can create and edit a Dockerfile in VS Code to define your container setup.
Yes, both Docker and the Visual Studio Code Docker extension are free to use.
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