dynamic resource allocation concepts

content/en/docs/concepts/scheduling-eviction/_index.md

@@ -26,6 +26,7 @@ of terminating one or more Pods on Nodes.
 * [Pod Topology Spread Constraints](/docs/concepts/scheduling-eviction/topology-spread-constraints/)
 * [Taints and Tolerations](/docs/concepts/scheduling-eviction/taint-and-toleration/)
 * [Scheduling Framework](/docs/concepts/scheduling-eviction/scheduling-framework)
+* [Dynamic Resource Allocation](/docs/concepts/scheduling-eviction/dynamic-resource-allocation)
 * [Scheduler Performance Tuning](/docs/concepts/scheduling-eviction/scheduler-perf-tuning/)
 * [Resource Bin Packing for Extended Resources](/docs/concepts/scheduling-eviction/resource-bin-packing/)
 

content/en/docs/concepts/scheduling-eviction/dynamic-resource-allocation.md

@@ -0,0 +1,215 @@
+---
+reviewers:
+- klueska
+- pohly
+title: Dynamic Resource Allocation
+content_type: concept
+weight: 65
+---
+
+<!-- overview -->
+
+{{< feature-state for_k8s_version="v1.26" state="alpha" >}}
+
+Dynamic resource allocation is a new API for requesting and sharing resources
+between pods and containers inside a pod. It is a generalization of the
+persistent volumes API for generic resources. Third-party resource drivers are
+responsible for tracking and allocating resources. Different kinds of
+resources support arbitrary parameters for defining requirements and
+initialization.
+
+## {{% heading "prerequisites" %}}
+
+Kubernetes v{{< skew currentVersion >}} includes cluster-level API support for
+dynamic resource allocation, but it [needs to be
+enabled](#enabling-dynamic-resource-allocation) explicitly.  You also must
+install a resource driver for specific resources that are meant to be managed
+using this API.  If you are not running Kubernetes v{{< skew currentVersion>}},
+check the documentation for that version of Kubernetes.
+
+<!-- body -->
+
+## API
+
+The new `resource.k8s.io/v1alpha1` {{< glossary_tooltip text="API group"
+term_id="api-group" >}} provides four new types:
+
+ResourceClass
+: Defines which resource driver handles a certain kind of
+  resource and provides common parameters for it. ResourceClasses
+  are created by a cluster administrator when installing a resource
+  driver.
+
+ResourceClaim
+: Defines a particular resource instances that is required by a
+  workload. Created by a user (lifecycle managed manually, can be shared
+  between different Pods) or for individual Pods by the control plane based on
+  a ResourceClaimTemplate (automatic lifecycle, typically used by just one
+  Pod).
+
+ResourceClaimTemplate
+: Defines the spec and some meta data for creating
+  ResourceClaims. Created by a user when deploying a workload.
+
+PodScheduling
+: Used internally by the control plane and resource drivers
+  to coordinate pod scheduling when ResourceClaims need to be allocated
+  for a Pod.
+
+Parameters for ResourceClass and ResourceClaim are stored in separate objects,
+typically using the type defined by a {{< glossary_tooltip
+term_id="CustomResourceDefinition" text="CRD" >}} that was created when
+installing a resource driver.
+
+The `core/v1` `PodSpec` defines ResourceClaims that are needed for a Pod in a new
+`resourceClaims` field. Entries in that list reference either a ResourceClaim
+or a ResourceClaimTemplate. When referencing a ResourceClaim, all Pods using
+this PodSpec (for example, inside a Deployment or StatefulSet) share the same
+ResourceClaim instance. When referencing a ResourceClaimTemplate, each Pod gets
+its own instance.
+
+The `resources.claims` list for container resources defines whether a container gets
+access to these resource instances, which makes it possible to share resources
+between one or more containers.
+
+Here is an example for a fictional resource driver. Two ResourceClaim objects
+will get created for this Pod and each container gets access to one of them.
+
+```yaml
+apiVersion: resource.k8s.io/v1alpha1
+kind: ResourceClass
+name: resource.example.com
+driverName: resource-driver.example.com
+---
+apiVersion: cats.resource.example.com/v1
+kind: ClaimParameters
+name: large-black-cat-claim-parameters
+spec:
+  color: black
+  size: large
+---
+apiVersion: resource.k8s.io/v1alpha1
+kind: ResourceClaimTemplate
+metadata:
+  name: large-black-cat-claim-template
+spec:
+  spec:
+    resourceClassName: resource.example.com
+    parametersRef:
+      apiGroup: cats.resource.example.com
+      kind: ClaimParameters
+      name: large-black-cat-claim-parameters
+–--
+apiVersion: v1
+kind: Pod
+metadata:
+  name: pod-with-cats
+spec:
+  containers:
+  - name: container0
+    image: ubuntu:20.04
+    command: ["sleep", "9999"]
+    resources:
+      claims:
+      - name: cat-0
+  - name: container1
+    image: ubuntu:20.04
+    command: ["sleep", "9999"]
+    resources:
+      claims:
+      - name: cat-1
+  resourceClaims:
+  - name: cat-0
+    source:
+      resourceClaimTemplateName: large-black-cat-claim-template
+  - name: cat-1
+    source:
+      resourceClaimTemplateName: large-black-cat-claim-template
+```
+
+## Scheduling
+
+In contrast to native resources (CPU, RAM) and extended resources (managed by a
+device plugin, advertised by kubelet), the scheduler has no knowledge of what
+dynamic resources are available in a cluster or how they could be split up to
+satisfy the requirements of a specific ResourceClaim. Resource drivers are
+responsible for that. They mark ResourceClaims as "allocated" once resources
+for it are reserved. This also then tells the scheduler where in the cluster a
+ResourceClaim is available.
+
+ResourceClaims can get allocated as soon as they are created ("immediate
+allocation"), without considering which Pods will use them. The default is to
+delay allocation until a Pod gets scheduled which needs the ResourceClaim
+(i.e. "wait for first consumer").
+
+In that mode, the scheduler checks all ResourceClaims needed by a Pod and
+creates a PodScheduling object where it informs the resource drivers
+responsible for those ResourceClaims about nodes that the scheduler considers
+suitable for the Pod. The resource drivers respond by excluding nodes that
+don't have enough of the driver's resources left. Once the scheduler has that
+information, it selects one node and stores that choice in the PodScheduling
+object. The resource drivers then allocate their ResourceClaims so that the
+resources will be available on that node. Once that is complete, the Pod
+gets scheduled.
+
+As part of this process, ResourceClaims also get reserved for the
+Pod. Currently ResourceClaims can either be used exclusively by a single Pod or
+an unlimited number of Pods.
+
+One key feature is that Pods do not get scheduled to a node unless all of
+their resources are allocated and reserved. This avoids the scenario where a Pod
+gets scheduled onto one node and then cannot run there, which is bad because
+such a pending Pod also blocks all other resources like RAM or CPU that were
+set aside for it.
+
+## Limitations
+
+The scheduler plugin must be involved in scheduling Pods which use
+ResourceClaims. Bypassing the scheduler by setting the `nodeName` field leads
+to Pods that the kubelet refuses to start because the ResourceClaims are not
+reserved or not even allocated. It may be possible to [remove this
+limitation](https://github.com/kubernetes/kubernetes/issues/114005) in the
+future.
+
+## Enabling dynamic resource allocation
+
+Dynamic resource allocation is an *alpha feature* and only enabled when the
+`DynamicResourceAllocation` [feature
+gate](/docs/reference/command-line-tools-reference/feature-gates/) and the
+`resource.k8s.io/v1alpha1` {{< glossary_tooltip text="API group"
+term_id="api-group" >}} are enabled. For details on that, see the
+`--feature-gates` and `--runtime-config` [kube-apiserver
+parameters](/docs/reference/command-line-tools-reference/kube-apiserver/).
+kube-scheduler, kube-controller-manager and kubelet also need the feature gate.
+
+A quick check whether a Kubernetes cluster supports the feature is to list
+ResourceClass objects with:
+
+```shell
+kubectl get resourceclasses
+```
+
+If your cluster supports dynamic resource allocation, the response is either a
+list of ResourceClass objects or:
+
+```
+No resources found
+```
+
+If not supported, this error is printed instead:
+
+```
+error: the server doesn't have a resource type "resourceclasses"
+```
+
+The default configuration of kube-scheduler enables the "DynamicResources"
+plugin if and only if the feature gate is enabled. Custom configurations may
+have to be modified to include it.
+
+In addition to enabling the feature in the cluster, a resource driver also has to
+be installed. Please refer to the driver's documentation for details.
+
+## {{% heading "whatsnext" %}}
+
+ - For more information on the design, see the
+[Dynamic Resource Allocation KEP](https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/3063-dynamic-resource-allocation/README.md).

content/en/docs/reference/command-line-tools-reference/feature-gates.md

@@ -87,6 +87,7 @@ For a reference to old feature gates that are removed, please refer to
 | `DownwardAPIHugePages` | `false` | Alpha | 1.20 | 1.20 |
 | `DownwardAPIHugePages` | `false` | Beta | 1.21 | 1.21 |
 | `DownwardAPIHugePages` | `true` | Beta | 1.22 | |
+| `DynamicResourceAllocation` | `false` | Alpha | 1.26 | |
 | `EndpointSliceTerminatingCondition` | `false` | Alpha | 1.20 | 1.21 |
 | `EndpointSliceTerminatingCondition` | `true` | Beta | 1.22 | |
 | `ExpandedDNSConfig` | `false` | Alpha | 1.22 | |