Manual – https://docs.redhat.com/en/documentation/red_hat_openshift_serverless/1.30/html/functions/index
OpenShift Serverless Function is a feature of Red Hat OpenShift that enables you to build, deploy, and manage event-driven serverless workloads using the Function-as-a-Service (FaaS) paradigm, directly on OpenShift. It is built on top of Knative (an open-source Kubernetes-based serverless framework), but provides a more developer-friendly and integrated experience for creating “functions”—small, single-purpose pieces of code that run in response to events.
Key Points about OpenShift Serverless Function
1. What is a Serverless Function?
- A serverless function is a small piece of code that is executed in response to an event (HTTP request, message in a queue, etc.).
- You don’t manage the underlying servers; OpenShift/Kubernetes automatically scales the function up or down (even to zero) based on demand.
2. How does OpenShift Serverless Function work?
- Functions are created using a CLI (
kn func
oroc
) or the OpenShift web console. - Functions can be written in languages like Node.js, Python, Go, Java, Quarkus, TypeScript, etc.
- Code is packaged as a container image and deployed as a Knative Service.
- OpenShift automatically handles scaling, routing, and event integration.
3. Why use OpenShift Serverless Function?
- Rapid development: Focus on writing business logic; the platform handles build, deployment, and scaling.
- Event-driven: Functions can be triggered by events like HTTP requests, Kafka messages, or cloud events.
- Efficient resource usage: Functions scale to zero when not in use, saving costs and resources.
- Integrated developer experience: CLI and IDE tools help you scaffold, build, test, and deploy functions easily.
4. How is it different from plain Knative?
- OpenShift Serverless Function provides a streamlined developer workflow and templates, plus deeper integration with OpenShift features (e.g., pipelines, security, monitoring).
- Focuses on the function lifecycle (scaffolding, local development, automated builds) versus raw Knative, where you deal more with YAML and manual setup.
Typical Workflow
- Initialize a Function:
kn func create --runtime node --name hello-func
- Develop Locally: Write your logic (e.g.,
index.js
orapp.py
). - Build and Deploy:
kn func deploy
- This builds the function, creates a container image, and deploys it as a Knative Service.
- Trigger the Function: By HTTP request, event source, or via API gateway.
- Auto-scaling: OpenShift will scale the function pods up/down based on incoming events (can scale down to zero).
Common Use Cases
- API endpoints (microservices)
- Data transformation pipelines
- Event-driven automation (e.g., on new file upload, process file)
- Webhooks
- Lightweight background tasks
Summary Table
Feature | OpenShift Serverless Function |
---|---|
Underlying Tech | Knative |
Languages | Node.js, Python, Go, Java, etc. |
Trigger | HTTP, Kafka, CloudEvents, etc. |
Scalability | Auto, incl. scale to zero |
Deployment | Via CLI or Web Console |
Integrations | OpenShift Pipelines, Git, etc. |
References
- OpenShift Serverless Functions Official Docs
- Red Hat Blog: Getting Started with OpenShift Functions
- Knative Functions
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