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Deploy a JavaScript, Node.js, and Express Website to Kubernetes in 5 Minutes with Jetpack.io

In this tutorial, we'll build an Express website in JavaScript, configure it for Jetpack.io, and deploy it to Kubernetes – all in 5 minutes.

Prerequisites

Node.js is a JavaScript runtime and is required to scaffold an Express.js website.

If you don't have it already, download and install Node.js or use a Node Version Manager such as nvm to upgrade to the latest version of Node.js.

Docker is required to package your backend as a container before deploying to the cloud.

If you don't already have Docker installed as part of your development environment, follow one of the guides below before returning to this quickstart:

kubectl, while not required, is a useful tool for inspecting and managing your deployments in Kubernetes. We recommend following the installation directions for your platform:

Building an Express app with Node

In this example we'll quickly scaffold an Express website. You could swap out these steps with use an existing Node web site, or scaffold a site using other frameworks or tools.

  1. Open a terminal in an empty directory.

  2. Generate an Express website:

    npx express-generator --view hbs

Now we have a regular Node.js website. Feel free to customize this site to meet your needs.

Configure the App for Containers

Jetpack.io assumes your web server is running on port 8080 from inside a Docker container. In this section we'll build a Dockerfile to run the web site on port 8080.

  1. Create a new file in the folder named Dockerfile and add this content:

    FROM node:alpine
    WORKDIR /app
    COPY . .
    RUN npm install
    ENV PORT=8080
    EXPOSE 8080
    CMD ["npm", "start"]

    Note: this is a bare-bones Dockerfile. Depending on your app's dependencies, you may need to add more.

Initialize the project with Jetpack.io

Jetpack.io needs some initial configuration to understand the Node.js web server. We need only do this once per website.

  1. To install the Jetpack CLI, open a terminal and run

    curl https://get.jetpack.io -fsSL | bash

    Jetpack CLI works on Linux, macOS, and on Windows via WSL2.

  2. Login to Jetpack CLI:

    jetpack auth login

    Logging into Jetpack allows you to deploy to the Jetpack.io Kubernetes cluster. You can also run on your own cluster in your Azure, AWS, GCP, or private cloud account.

  3. Initialize the project for Jetpack:

    jetpack init

    This wizard interviews you and configures the Jetpack deployment strategy to match your application.

  4. Answer that Yes, this is a web server. This tells Jetpack that we want to accept inbound traffic.

    If we were building a scheduled cron job or a function that drained a queue, we could answer no.

  1. Finish the wizard, and Jetpack CLI automatically generates an appropriate jetconfig.yaml file. You should commit this to source control.

Deploy to Kubernetes using Jetpack.io

Now that the project is configured for Jetpack, deploying is really easy.

  1. Open a terminal in the directory with the Dockerfile and jetconfig.yaml file.

  2. Deploy to Kubernetes:

    jetpack dev

    Now Jetpack makes the deployment really simple. Automatically it will:

    • Build the Docker image
    • Push the image to a private registry
    • Schedule the necessary Kubernetes resources
    • Create a publicly routable URL to test the website
    • Setup port-forwarding from your local machine
    • Stream application logs back to the terminal
  3. Test the website:

    In the console output will be the publicly routable URL. Click this URL to view the web page.

    Jetpack also sets up port-forwarding, so you can also browse to http://localhost:8080/ to view the page.

Next Steps

It's easy to deploy an Express website built in JavaScript and Node.js to Kubernetes with Jetpack.io. In this tutorial we scaffolded a website, configured it for Jetpack.io, and used Jetpack.io to deploy to Kubernetes. Jetpack.io is a great zero-DevOps solution for deploying to Kubernetes. Visit https://jetpack.io/docs/ to learn more and to start deploying your content to Kubernetes with ease.