WebStorm 2026.1 Help

Tutorial: deploy your application to a minikube cluster

Running Kubernetes locally is especially useful for prototyping, testing deployments, and learning Kubernetes workflows. Using the Docker and Kubernetes support available in WebStorm, you will be able to start the cluster, deploy resources, and inspect your application without leaving the IDE.

Before you start

Before you start, make sure that you have the following installed and configured:

Enable required plugins

The functionality used in this tutorial relies on the following plugin:

The plugin is bundled and enabled in WebStorm by default. If the relevant feature is not available, make sure that you did not disable the plugin.

  1. Press Ctrl+Alt+S to open settings and then select Plugins.

  2. On the Installed tab, make sure the checkbox next to the Kubernetes plugin is selected.

Create a sample project

Let us start with a simple Node.js Express application. Let this application consist of a hello_express.js file that returns Hello World! and outputs Example app listening on port 3000! in the console.

Create an empty project with Node.js

  1. Click New Project on the Welcome screen or select File | New | Project from the main menu.

  2. In the dialog that opens, select Node.js in the left-hand pane.

  3. Specify the location of the application and its name, for example, hello_world_docker.

  4. Specify the local Node.js runtime to use. Accept the suggested installation or select another one from the list, or even click Download if you do not have Node.js on your machine yet. Learn more from Create a new Node.js application.

    Create an empty project with Node.js
  5. Click Create.

Populate the application

  1. Let us create a separate folder for our application, this will help us later map local folders to folders in the container.

    To do that, open the Project tool window Alt+1, right-click the project folder, select New from the context menu, and then select Directory. In the popup dialog that appears, specify the name of the folder, for example, app.

    Create an application folder
  2. Now it is time to create a JavaScript file to place the code of our application in.

    From the context menu of the app folder, select New from the context menu, and then select JavaScript File.

    Create a JavaScript file, context menu

    In the popup dialog that appears, specify the name of the file, for example, hello_express.js.

    Create a JavaScript file
  3. Open the newly created hello_express.js file in the editor and type the following code:

    const express = require('express'); const app = express(); app.get('/', function(req, res) { res.send('Hello World!') }); app.listen(3000,function() { console.log('Example app listening on port 3000!') });
  4. As you might have expected, the express reference is not resolved and highlighted as an error. However, WebStorm suggests a quick-fix as you hover over the reference:

    Express is not installed - a quick-fix is suggested

    When you click the Install 'express' link, express is added to the package.json file and installed.

    package.json - Express installed

Run the application locally

Let us run our application locally to make sure it works as expected.

  • Open the hello_express.js file, right-click anywhere in the editor tab, and select Run 'hello_express.js' from the context menu.

    Run an application locally

    The Run tool window opens showing Example app listening on port 3000!.

    If you open the browser at http://localhost:3000, you will see that the page shows Hello World!, as expected.

    The application is running locally

Containerize the application

In this step, you will package the application into a Docker image. Kubernetes will run this image later as a container in a pod.

Create a Dockerfile

  1. From the context menu of the project folder, select New from the context menu, and then select Dockerfile.

    Create a Dockerfile - context menu
  2. Open the newly created Dockerfile and type the following code:

    FROM node:22-alpine WORKDIR /tmp COPY package*.json . RUN npm ci --omit=dev COPY ./app/ ./app/ CMD ["node","./app/hello_express.js"]

    This Dockerfile contains instructions for building an image based on the node:22 image from Docker Hub.

    When you run a container from this image, Docker sets copies the contents of the /app/ directory to the /tmp/app/ directory in the container (in our case, the /app/ directory contains the hello_express.js file). The package.json file is copied to /tmp/.

    Then Docker sets the current working directory to /tmp and runs node ./app/hello_express.js. As a result, the container log should show Example app listening on port 3000!.

Build the Docker image

  1. Form the Project view, open Dockerfile in the editor.

  2. Edit the file:

    • Change

      ENV RAILS_ENV="production" \ BUNDLE_DEPLOYMENT="1" \ BUNDLE_PATH="/usr/local/bundle" \ BUNDLE_WITHOUT="development"

      to

      ENV RAILS_ENV="development" \ BUNDLE_PATH="/usr/local/bundle"
    • Change

      EXPOSE 80 CMD ["./bin/thrust", "./bin/rails", "server"]

      to

      EXPOSE 3000 CMD ["./bin/rails", "server", "-b", "0.0.0.0", "-p", "3000"]
  3. In the gutter inside the Dockerfile, click The Run on Docker icon and select New Run Configuration.

    Create a new Dockerfile run/debug configuration from the editor
  4. In the Edit Run Configuration dialog, specify hello-world-docker-app in the Image tag field and hello-world-docker in the Container name field. Then, click Run.

    Run/debug configuration - image tag and container name specified

WebStorm creates a Dockerfile run configuration, which builds an image from the Dockerfile and then runs a container based on that image. To follow the whole process, open the Build Log tab in the Services tool window.

Push the log tab in the Services tool window

Connect to minikube

Now that you have a Docker image with your application, you need to start a local Kubernetes cluster to deploy it to. We will use minikube to run a local, single-node Kubernetes cluster directly from WebStorm.

Start minikube with the Docker driver

  1. Open the Terminal tool window: go to View | Tool Windows | Terminal or press Alt+F12.

  2. Run the following command to start a local Kubernetes cluster and instruct minikube to use Docker as the virtualization driver:

    minikube start --driver=docker
  3. Verify that your cluster is up and running by using the command:

    minikube status

Using the Docker driver runs the minikube cluster inside Docker containers, providing a lightweight environment well suited for local development.

Add the minikube cluster to WebStorm

  1. Open the Services tool window: go to View | Tool Windows | Services or press Alt+8.

  2. Select the Kubernetes node, click the Add Cluster button, and then select From Default Directory from the context menu.

    Adding a new cluster from the Kubernetes welcome screen in the Services tool window
  3. In the Add Clusters dialog, select minikube and click Add Clusters.

    Add Clusters dialog

    The added cluster will become available in the Services tool window.

  4. In the Services tool window, right-click the minikube cluster and select Connect Cluster.

    Connect to the minikube cluster

At this point, WebStorm is connected to the running minikube cluster and can display its Kubernetes resources. You can explore namespaces, nodes, and other cluster objects directly from the Services tool window.

Deploy the application

Earlier in the tutorial, you already built the application image locally. However, the minikube cluster cannot automatically access images from your local Docker daemon. You need to load the image into minikube to make it available.

Load the Docker image into minikube

  1. Open the Terminal tool window: go to View | Tool Windows | Terminal or press Alt+F12.

  2. Run the following command to build the container image in minikube:

    minikube image load <image tag>

    where <image tag> is the value specified in the Run/Debug configuration as described above. In our example it should be:

    minikube image load hello-world-docker-app
  3. Validate that the hello-world-docker-app image is available in your cluster by running:

    minikube image ls | grep hello-world-docker-app

    You should see docker.io/library/hello-world-docker-app:latest in the output.

Now that the image is available in minikube, the next step is to describe how Kubernetes will run it. Let us create two Kubernetes manifests:

  • Deployment, which helps you run your container in a pod

  • Service, which exposes your app so that you can access it from your machine

Create a Deployment manifest

  1. In the Project tool window (Alt+1) , right-click the project name and select New | Kubernetes Resource.

    Create a Kubernetes resource
  2. In the New Kubernetes Resource dialog, select the Deployment file type, specify hello-world-docker-deployment as the manifest name, and press Enter.

    Create a new Deployment manifest

    If prompted, agree to add the file to Git.

  3. Replace the content of the resulting file with the following code:

    apiVersion: apps/v1 kind: Deployment metadata: name: hello-world-docker labels: app: hello-world-docker spec: replicas: 1 selector: matchLabels: app: hello-world-docker template: metadata: name: hello-world-docker labels: app: hello-world-docker spec: containers: - name: hello-world-docker image: hello-world-docker-app imagePullPolicy: IfNotPresent ports: - containerPort: 3000 protocol: TCP restartPolicy: Always
  4. On the floating toolbar, select the current cluster and namespace, then click Apply icon Apply to deliver the changes to the local cluster.

    The Apply button on the floating toolbar

Create a Service manifest

  1. In the Project tool window (Alt+1) , right-click the project name and select New | Kubernetes Resource.

    Create a Kubernetes resource
  2. In the New Kubernetes Resource dialog, select the Service file type, specify hello-world-docker-service as the manifest name, and press Enter.

    Create a new Service manifest

    If prompted, agree to add the file to Git.

  3. Replace the content of the resulting file with the following code:

    apiVersion: v1 kind: Service metadata: name: hello-world-docker spec: selector: app: hello-world-docker ports: - protocol: TCP port: 3000 targetPort: 3000 type: NodePort
  4. On the floating toolbar, select the current cluster and namespace, then click Apply icon Apply to deliver the changes to the local cluster.

Access the application

  1. Open the hello-world-docker-deployment.yaml file in the editor.

  2. Click the Forward Ports inlay hint next to the - containerPort: 3000 property.

    The port forwarding inlay hint
  3. In the Forward Ports dialog, leave the default values and click Forward.

  4. In the hello-world-docker-deployment.yaml file, click the Open in Browser inlay hint.

    Start a new port-forwarding session in the Services tool window

    WebStorm redirects you to your default browser, where you can check your application that is just deployed in your local minikube cluster.

    Deployed app is running in the browser

You have learned how to deploy a Node.js Express application to a local Kubernetes cluster using minikube and WebStorm. This approach enables quick local testing and experimentation with Kubernetes without requiring a remote cluster.

Next steps

Learn how to work with Kubernetes from these topics:

26 May 2026