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You can run a serverless-style application on Kubernetes with Knative Serving: deploy a container as a Knative Service, route requests to its revisions, and let Knative adjust replicas with demand—including scaling eligible workloads to zero when idle. Kubernetes and its cluster operations remain in place; Knative changes how the application is delivered and scaled, not whether servers exist.
What “serverless” means on Kubernetes
Knative is a developer-focused application layer that adds serverless-style delivery to Kubernetes. It manages Kubernetes resources for containerized services rather than replacing Kubernetes. You still need a cluster, the permissions to install components, and a networking and DNS setup that makes the service reachable where required. The Cloud Native Computing Foundation describes Knative as “a developer-focused serverless application layer which is a great complement to the existing Kubernetes application constructs.” CNCF Knative project page
Knative Serving is the part that handles request-driven services. It adds custom resources and controllers for service lifecycle, revisions, routing, and autoscaling. Knative became a CNCF Graduated project on September 11, 2025, after joining at the Incubating level on March 2, 2022. CNCF Knative project page
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Service, Configuration, Revision, and Route
A Knative Service is the primary workload abstraction. It creates and manages related Configuration, Route, and Revision resources. A Configuration update—such as changing the container image or environment variables—produces a new immutable Revision, preserving a record of a particular code-and-configuration snapshot.
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A Route assigns a network endpoint to one or more Revisions. It can direct all traffic to the current Revision or split traffic among Revisions, which gives teams a way to introduce a new version gradually. The service, its revisions, and routing remain Kubernetes resources managed by Knative. Knative Serving documentation
Autoscaling and the scale-to-zero wake-up path
Knative Serving adjusts replica counts in response to incoming demand. Its autoscaling documentation describes automatic scaling to match that demand. With scale-to-zero enabled and applicable to the workload, an idle Revision can have no active application replicas. When a request arrives on the zero-replica path, the Activator can buffer it and signal the autoscaler while the Revision starts. Knative autoscaling documentation
This is a wake-up mechanism, not a promise of instant availability. The cited documentation does not establish a universal cold-start duration; startup time depends on the application and cluster conditions. Scaling application replicas to zero also does not scale Kubernetes nodes or decommission the cluster. No general cost reduction follows automatically: infrastructure, node provisioning, and other cluster workloads remain separate considerations.
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Local experimentation with quickstart
The Knative quickstart plugin creates a local kind or Minikube environment, installs Serving with Kourier and sslip.io DNS, and also installs Eventing. The current guide labels quickstart experimental and recommends at least 3 CPUs and 3 GB of RAM. It requires the Kubernetes CLI, Knative CLI, and either kind or Minikube. This path is for trying Knative, not a production architecture. Knative quickstart installation guide
Production-oriented installation on a cluster
For an existing cluster, Knative documents YAML-based installation and installation through the Knative Operator. Its resource recommendations are 6 CPUs, 6 GB of memory, and 30 GB of disk for a single node, or 2 CPUs, 4 GB of memory, and 20 GB of disk per node for a multi-node cluster. These are recommendations rather than universal minimums; actual needs vary with installed components and workload. The install guidance assumes Kubernetes administration experience and cluster-admin-equivalent permissions to install components. Knative installation overview
- YAML installation: applies Serving CRDs and core components; optional manifests cover items such as default-domain configuration and HPA support.
- Knative Operator: automates applying, patching, and customizing Knative components and is designed to fit GitOps workflows.
- Serving and Eventing: can be installed independently, so a Serving-only deployment need not install Eventing.
Knative release versions and Kubernetes compatibility change. Consult the current official installation documentation for the release and Kubernetes version you intend to use; do not assume a manifest or compatibility range from an older guide applies unchanged. Knative installation overview
Deploy a sample Knative Service
The following is the documented Knative hello-world example. Save it as hello.yaml:
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
name: hello
spec:
template:
spec:
containers:
- image: ghcr.io/knative/helloworld-go:latest
env:
- name: TARGET
value: "World"- Apply the manifest from the directory where you saved it:
kubectl apply -f hello.yaml. - Knative creates the Service’s related Revision and Route resources. Confirm that the Revision becomes ready and that the route has an address using your cluster’s available Kubernetes and Knative tooling.
- Send a request to the service address once ingress and DNS are configured. With autoscaling and scale-to-zero configured, Knative adjusts replicas as demand changes.
The sample illustrates the manifest structure; it is not evidence of a deployment in every cluster. The official guide also documents creating a service with the Knative CLI. Knative first service guide
Plan ingress, external access, and DNS
Knative does not eliminate ingress decisions. Documented networking integrations include Kourier, Contour, Istio, and Gateway API. Kourier is presented as a lightweight choice suitable for learning and prototyping, but no option is universally best. Choose based on what the cluster already operates and what the application needs.
- Check how the cluster provisions and exposes ingress or gateway services.
- Plan external load-balancer or gateway access if clients outside the cluster must reach the service; the ingress service needs to be externally reachable for outside traffic.
- Decide how DNS records and certificates will be managed for the service’s hostname.
- Consider observability, traffic exposure controls, and the team’s operational familiarity with the networking layer.
A Knative Route provides routing within the platform, but external DNS records and infrastructure exposure may still need separate configuration. The sslip.io setup used by quickstart is an experimentation convenience, not a general production DNS solution. Knative Serving YAML installation Knative Serving installation options
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What scale-to-zero does—and does not—save
Scale-to-zero can remove idle application replicas for eligible workloads. It does not remove the Kubernetes cluster, automatically shut down its nodes, or guarantee lower total infrastructure spending. Whether it reduces costs depends on factors such as node utilization, other workloads, minimum replica settings, and how the cluster provisions capacity. Those factors must be evaluated separately from Knative’s replica behavior.
The official material cited here does not provide a generally applicable cold-start latency or cost-savings benchmark. Test with the application’s startup behavior, traffic pattern, cluster configuration, and tolerance for the first request’s wake-up path before relying on scale-to-zero for a production service.
Is Knative the right fit?
Knative Serving suits teams that want to deploy containerized services on Kubernetes with revisions, request routing, and demand-responsive scaling. Before choosing a Kubernetes-based serverless platform, compare the dimensions that affect your operations:
- Workload model: Knative Serving centers on container services; other platforms may emphasize function-oriented workflows.
- Idle behavior: determine whether scale-to-zero is supported, how requests are handled while an instance starts, and whether minimum replicas are configurable.
- Networking: assess integration with your ingress or gateway, DNS, certificates, and external traffic controls.
- Operational footprint: account for controllers, cluster permissions, installation and upgrades, monitoring, and your team’s existing Kubernetes practices.
- Performance and cost: measure startup tolerance and actual resource use in your own cluster rather than relying on an unqualified latency or savings claim.
OpenFaaS documentation, for example, describes optional scale-to-zero and cold starts, but that fact alone does not establish a comprehensive feature comparison or a universal recommendation. OpenFaaS documentation
Historical context should not be confused with current market share: in a 2020 CNCF survey, 60% of respondents using serverless reported a hosted platform, 13% installable software, and 22% both. The same survey reported Knative at 27%, OpenFaaS at 10%, and Kubeless at 5% among installable serverless solutions. These are survey findings from 2020, not current rankings. CNCF 2020 survey report
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