Skip to main content
Redhat Developers  Logo
  • AI

    Get started with AI

    • Red Hat AI
      Accelerate the development and deployment of enterprise AI solutions.
    • AI learning hub
      Explore learning materials and tools, organized by task.
    • AI interactive demos
      Click through scenarios with Red Hat AI, including training LLMs and more.
    • AI/ML learning paths
      Expand your OpenShift AI knowledge using these learning resources.
    • AI quickstarts
      Focused AI use cases designed for fast deployment on Red Hat AI platforms.
    • No-cost AI training
      Foundational Red Hat AI training.

    Featured resources

    • OpenShift AI learning
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

    Red Hat AI Factory with NVIDIA

    • Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.
    • Explore the solution
  • Learn

    Self-guided

    • Documentation
      Find answers, get step-by-step guidance, and learn how to use Red Hat products.
    • Learning paths
      Explore curated walkthroughs for common development tasks.
    • Guided learning
      Receive custom learning paths powered by our AI assistant.
    • See all learning

    Hands-on

    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.
    • Interactive labs
      Learn by doing in these hands-on, browser-based experiences.
    • Interactive demos
      Click through product features in these guided tours.

    Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics

    Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
  • Build

    Get started

    • Red Hat build of Podman Desktop
      A downloadable, local development hub to experiment with our products and builds.
    • Developer Sandbox
      Spin up Red Hat's products and technologies without setup or configuration.

    Download products

    • Access product downloads to start building and testing right away.
    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset

    References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
  • Community

    Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions

    Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github

    Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

    Join the Red Hat Developer program

    • Download Red Hat products and project builds, access support documentation, learning content, and more.
    • Explore the benefits

Deploying serverless Node.js applications on Red Hat OpenShift, Part 1

September 15, 2020
Lucas Holmquist
Related topics:
Node.jsServerlessKubernetes

    Red Hat OpenShift Serverless recently became GA, and with it came new options for application deployment. This article introduces one of those new options, Knative Serving. I provide an overview of OpenShift Serverless and Knative Serving, then show you how to deploy a Node.js application as a Knative Serving service.

    What is OpenShift Serverless?

    According to the OpenShift Serverless GA release:

    OpenShift Serverless enables developers to build what they want, when they want, with whatever tools and languages they need. Developers can quickly get their applications up and deployed using serverless compute, and they won't have to build and maintain larger container images to do so.

    OpenShift Serverless is based on the Knative open source Kubernetes serverless project. While it has a few different parts, we will focus on deploying a serverless Node.js application as a Knative Serving service.

    Knative Serving

    So, what is Knative Serving? The official OpenShift documentation has a buzzword-filled section about it, but we are most interested in the ability to scale to zero.

    Applications running on OpenShift and Kubernetes run inside a container or pod. An OpenShift pod needs to be up if we want users to be able to access our application. A containerized application deployed as a Knative Serving service can be off until a request comes in—that is what we mean by "scale to zero." When a request comes in, the application starts and begins receiving requests. Knative orchestrates all of this.

    Getting started with Knative Serving

    If you want to follow along with the example, you will need to have OpenShift Serverless installed on your OpenShift cluster. The OpenShift Serverless documentation has instructions for setting up OpenShift Serverless, and for setting up Knative Serving.

    For local development, I use Red Hat CodeReady Containers (CRC) to run OpenShift locally. Note that CRC with OpenShift Serverless installed can be a little memory intensive.

    Deploying the Node.js application

    The example in the OpenShift documentation shows how to use a Git repository, hosted on GitHub, to deploy an application as a Knative Serving service. That's fine, but if I'm in development and coding on my laptop, I don't want to have to push my changes to GitHub just to see my application running.

    Another option is to use an already built image to create a Knative Serving service. The YAML for that service might look something like this:

    apiVersion: serving.knative.dev/v1
    kind: Service
    metadata:
      name: hello
      namespace: default
    spec:
      template:
        spec:
          containers:
            - image: docker.io/openshift/hello-openshift
              env:
                - name: RESPONSE
                  value: "Hello Serverless!"
    

    But again, this example shows an image being hosted on Docker Hub, which brings up the same predicament as deploying from GitHub.

    For local development, I prefer using the Nodeshift module. I've introduced Nodeshift elsewhere, so I won't write much about it here.

    The Node.js example application

    For this example, I'll use an application that I've used before, a basic REST application that is built with Express.js. As a refresher, the Express.js application has an input form that takes a name and sends it to a REST endpoint, which generates a greeting. When you pass in a name, it is appended to the greeting and sent back. To see the application running locally, enter the following command:

    $ npm install && npm start
    

    To deploy the Node.js application as a Knative service, we only have to call Nodeshift with the experimental --knative flag. The command would look something like this:

    $ npx nodeshift --knative
    

    This command archives our source code and sends it to OpenShift, where a Source-to-Image (S2I) build results in an ImageStream. This is all standard Nodeshift stuff. Once the build has completed, Nodeshift creates a Knative service, which uses the ImageStream we've just built as its input. This procedure is similar to pulling an image from Docker Hub, but in this case, the image is stored in OpenShift's internal registry.

    Run the application

    We could use oc commands to see that our application is running, but it's easier to understand what is happening with something more visual. Let's use the OpenShift web console's new Topology view, as shown in Figure 1.

    A screenshot of the serverless Node.js application in the OpenShift dashboard's Topology view.
    Figure 1. View the running application in OpenShift's Topology view.

    The application is deployed as a Knative service. Most likely, the blue circle (which indicates that a pod is running successfully) is not filled. Our app is currently scaled to zero and waiting for a request to come in before it starts up.

    Clicking on the link icon in the top-right corner of the application opens it. This is the first time that we are accessing the app, so it takes a few seconds to load. Our application is now starting up. It's a basic Express.js application, so it starts quickly, as you can see in Figure 2.

    A screenshot of the Express.js application displayed in browser.
    Figure 2. The Express.js application running successfully in a browser.

    The application in the Topology view now has that familiar blue circle, as shown in Figure 3.

    A screenshot of the OpenShift Topology view showing the application now scaled up.
    Figure 3. The blue circle indicates that the Knative Serving service application has started.

    By default, after 300 seconds (5 minutes), the running pod terminates and scales back to zero. The next time that you access the application, the startup cycle will happen again.

    Conclusion

    In this article, I've shown you a small part of what OpenShift Serverless can do. In future articles, we'll look at more features and how they relate to Node.js. This article focused on deploying a Node.js app as a Knative Serving service, but you might have noticed that Knative and OpenShift Serverless don't care what type of application you use. In a future article, I'll discuss the things that you should consider when creating a Node.js application to be deployed as a serverless application.

    Last updated: September 14, 2020

    Recent Posts

    • Every layer counts: Defense in depth for AI agents with Red Hat AI

    • Fun in the RUN instruction: Why container builds with distroless images can surprise you

    • Trusted software factory: Building trust in the agentic AI era

    • Build a zero trust AI pipeline with OpenShift and RHEL CVMs

    • Red Hat Hardened Images: Top 5 benefits for software developers

    Red Hat Developers logo LinkedIn YouTube Twitter Facebook

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    RED HAT DEVELOPER

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility

    Chat Support

    Please log in with your Red Hat account to access chat support.