# Knative Services [Knative](https://knative.dev/) is a platform for running serverless workloads on Kubernetes. This guide will show you how to run basic Knative workloads in gVisor. ## Prerequisites This guide assumes you have have a cluster that is capable of running gVisor workloads. This could be a [GKE Sandbox](https://cloud.google.com/kubernetes-engine/sandbox/) enabled cluster on Google Cloud Platform or one you have set up yourself using [containerd Quick Start](https://gvisor.dev/docs/user_guide/containerd/quick_start/). This guide will also assume you have Knative installed using [Istio](https://istio.io/) as the network layer. You can follow the [Knative installation guide](https://knative.dev/docs/install/install-serving-with-yaml/) to install Knative. ## Enable the RuntimeClass feature flag Knative allows the use of various parameters on Pods via [feature flags](https://knative.dev/docs/serving/feature-flags/). We will enable the [runtimeClassName](https://knative.dev/docs/serving/feature-flags/#kubernetes-runtime-class) feature flag to enable the use of the Kubernetes [Runtime Class](https://kubernetes.io/docs/concepts/containers/runtime-class/). Edit the feature flags ConfigMap. ```bash kubectl edit configmap config-features -n knative-serving ``` Add the `kubernetes.podspec-runtimeclassname: enabled` to the `data` field. Once you are finished the ConfigMap will look something like this (minus all the system fields). ```yaml apiVersion: v1 kind: ConfigMap metadata: name: config-features namespace: knative-serving labels: serving.knative.dev/release: v0.22.0 data: kubernetes.podspec-runtimeclassname: enabled ``` ## Deploy the Service After you have set the Runtime Class feature flag you can now create Knative services that specify a `runtimeClassName` in the spec. ```bash cat <