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Published: May 14, 2024 License: Apache-2.0 Imports: 8 Imported by: 0



This driver implements the controller and a resource kubelet plugin for dynamic resource allocation. This is done in a single binary to minimize the amount of boilerplate code. "Real" drivers could also implement both in different binaries.


The driver could get deployed as a Deployment for the controller, with leader election. A DaemonSet could get used for the kubelet plugin. The controller can also run as a Kubernetes client outside of a cluster. The same works for the kubelet plugin when using port forwarding. This is how it is used during testing.

Valid parameters are key/value string pairs stored in a ConfigMap. Those get copied into the ResourceClaimStatus with "user_" and "admin_" as prefix, depending on whether they came from the ResourceClaim or ResourceClass. They get stored in the ResourceHandle field as JSON map by the controller. The kubelet plugin then sets these attributes as environment variables in each container that uses the resource.

Resource availability is configurable and can simulate different scenarios:

  • Network-attached resources, available on all nodes where the node driver runs, or host-local resources, available only on the node whether they were allocated.
  • Shared or unshared allocations.
  • Unlimited or limited resources. The limit is a simple number of allocations per cluster or node.

While the functionality itself is very limited, the code strives to showcase best practices and supports metrics, leader election, and the same logging options as Kubernetes.


The binary itself is a Cobra command with two operations, controller and kubelet-plugin. Logging is done with contextual logging.

The k8s.io/dynamic-resource-allocation/controller package implements the interaction with ResourceClaims. It is generic and relies on an interface to implement the actual driver logic. Long-term that part could be split out into a reusable utility package.

The k8s.io/dynamic-resource-allocation/kubelet-plugin package implements the interaction with kubelet, again relying only on the interface defined for the kubelet<->dynamic resource allocation plugin interaction.

app is the driver itself with a very simple implementation of the interfaces.



To try out the feature, build Kubernetes, then in one console run:

RUNTIME_CONFIG="resource.k8s.io/v1alpha2" FEATURE_GATES=DynamicResourceAllocation=true ALLOW_PRIVILEGED=1 ./hack/local-up-cluster.sh -O

In another:

go run ./test/e2e/dra/test-driver --feature-gates ContextualLogging=true -v=5 controller

In yet another:

sudo mkdir -p /var/run/cdi && sudo chmod a+rwx /var/run/cdi /var/lib/kubelet/plugins_registry
go run ./test/e2e/dra/test-driver --feature-gates ContextualLogging=true -v=5 kubelet-plugin

And finally:

$ kubectl create -f test/e2e/dra/test-driver/deploy/example/resourceclass.yaml
resourceclass/example created
$ kubectl create -f test/e2e/dra/test-driver/deploy/example/pod-inline.yaml
configmap/pause-claim-parameters created
pod/pause created

$ kubectl get resourceclaims
NAME             CLASSNAME   ALLOCATIONMODE         STATE                AGE
pause-resource   example     WaitForFirstConsumer   allocated,reserved   19s

$ kubectl get pods
pause   1/1     Running   0          23s

There are also examples for other scenarios (multiple pods, multiple claims).

multi-node cluster

At this point there are no container images that contain the test driver and therefore it cannot be deployed on "normal" clusters.

Prior art

Some of this code was derived from the external-resizer. controller corresponds to the controller logic, which in turn is similar to the sig-storage-lib-external-provisioner.


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Path Synopsis
Package app does all of the work necessary to configure and run a Kubernetes app process.
Package app does all of the work necessary to configure and run a Kubernetes app process.

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