Scheduler Configuration

You can customize the behavior of the kube-scheduler by writing a configuration file and passing its path as a command line argument.

A scheduling Profile allows you to configure the different stages of scheduling in the kube-scheduler. Each stage is exposed in an extension point. Plugins provide scheduling behaviors by implementing one or more of these extension points.

You can specify scheduling profiles by running kube-scheduler --config <filename>, using the KubeSchedulerConfiguration (v1beta1 or v1beta2) struct.

A minimal configuration looks as follows:

apiVersion: kubescheduler.config.k8s.io/v1beta2
kind: KubeSchedulerConfiguration
clientConnection:
  kubeconfig: /etc/srv/kubernetes/kube-scheduler/kubeconfig

Profiles

A scheduling Profile allows you to configure the different stages of scheduling in the kube-scheduler. Each stage is exposed in an extension point. Plugins provide scheduling behaviors by implementing one or more of these extension points.

You can configure a single instance of kube-scheduler to run multiple profiles.

Extension points

Scheduling happens in a series of stages that are exposed through the following extension points:

1. queueSort: These plugins provide an ordering function that is used to sort pending Pods in the scheduling queue. Exactly one queue sort plugin may be enabled at a time.
2. preFilter: These plugins are used to pre-process or check information about a Pod or the cluster before filtering. They can mark a pod as unschedulable.
3. filter: These plugins are the equivalent of Predicates in a scheduling Policy and are used to filter out nodes that can not run the Pod. Filters are called in the configured order. A pod is marked as unschedulable if no nodes pass all the filters.
4. postFilter: These plugins are called in their configured order when no feasible nodes were found for the pod. If any postFilter plugin marks the Pod schedulable, the remaining plugins are not called.
5. preScore: This is an informational extension point that can be used for doing pre-scoring work.
6. score: These plugins provide a score to each node that has passed the filtering phase. The scheduler will then select the node with the highest weighted scores sum.
7. reserve: This is an informational extension point that notifies plugins when resources have been reserved for a given Pod. Plugins also implement an Unreserve call that gets called in the case of failure during or after Reserve.
8. permit: These plugins can prevent or delay the binding of a Pod.
9. preBind: These plugins perform any work required before a Pod is bound.
10. bind: The plugins bind a Pod to a Node. bind plugins are called in order and once one has done the binding, the remaining plugins are skipped. At least one bind plugin is required.
11. postBind: This is an informational extension point that is called after a Pod has been bound.

For each extension point, you could disable specific default plugins or enable your own. For example:

apiVersion: kubescheduler.config.k8s.io/v1beta2
kind: KubeSchedulerConfiguration
profiles:
  - plugins:
      score:
        disabled:
        - name: PodTopologySpread
        enabled:
        - name: MyCustomPluginA
          weight: 2
        - name: MyCustomPluginB
          weight: 1

You can use * as name in the disabled array to disable all default plugins for that extension point. This can also be used to rearrange plugins order, if desired.

Scheduling plugins

The following plugins, enabled by default, implement one or more of these extension points:

• ImageLocality: Favors nodes that already have the container images that the Pod runs. Extension points: score.
• TaintToleration: Implements taints and tolerations. Implements extension points: filter, preScore, score.
• NodeName: Checks if a Pod spec node name matches the current node. Extension points: filter.
• NodePorts: Checks if a node has free ports for the requested Pod ports. Extension points: preFilter, filter.
• NodeAffinity: Implements node selectors and node affinity. Extension points: filter, score.
• PodTopologySpread: Implements Pod topology spread. Extension points: preFilter, filter, preScore, score.
• NodeUnschedulable: Filters out nodes that have .spec.unschedulable set to true. Extension points: filter.
• NodeResourcesFit: Checks if the node has all the resources that the Pod is requesting. The score can use one of three strategies: LeastAllocated (default), MostAllocated and RequestedToCapacityRatio. Extension points: preFilter, filter, score.
• NodeResourcesBalancedAllocation: Favors nodes that would obtain a more balanced resource usage if the Pod is scheduled there. Extension points: score.
• VolumeBinding: Checks if the node has or if it can bind the requested volumes. Extension points: preFilter, filter, reserve, preBind, score.
  Note: score extension point is enabled when VolumeCapacityPriority feature is enabled. It prioritizes the smallest PVs that can fit the requested volume size.
• VolumeRestrictions: Checks that volumes mounted in the node satisfy restrictions that are specific to the volume provider. Extension points: filter.
• VolumeZone: Checks that volumes requested satisfy any zone requirements they might have. Extension points: filter.
• NodeVolumeLimits: Checks that CSI volume limits can be satisfied for the node. Extension points: filter.
• EBSLimits: Checks that AWS EBS volume limits can be satisfied for the node. Extension points: filter.
• GCEPDLimits: Checks that GCP-PD volume limits can be satisfied for the node. Extension points: filter.
• AzureDiskLimits: Checks that Azure disk volume limits can be satisfied for the node. Extension points: filter.
• InterPodAffinity: Implements inter-Pod affinity and anti-affinity. Extension points: preFilter, filter, preScore, score.
• PrioritySort: Provides the default priority based sorting. Extension points: queueSort.
• DefaultBinder: Provides the default binding mechanism. Extension points: bind.
• DefaultPreemption: Provides the default preemption mechanism. Extension points: postFilter.

You can also enable the following plugins, through the component config APIs, that are not enabled by default:

• SelectorSpread: Favors spreading across nodes for Pods that belong to Services, ReplicaSets and StatefulSets. Extension points: preScore, score.
• CinderLimits: Checks that OpenStack Cinder volume limits can be satisfied for the node. Extension points: filter.

The following plugins are deprecated and can only be enabled in a v1beta1 configuration:

• NodeResourcesLeastAllocated: Favors nodes that have a low allocation of resources. Extension points: score.
• NodeResourcesMostAllocated: Favors nodes that have a high allocation of resources. Extension points: score.
• RequestedToCapacityRatio: Favor nodes according to a configured function of the allocated resources. Extension points: score.
• NodeLabel: Filters and / or scores a node according to configured label(s). Extension points: filter, score.
• ServiceAffinity: Checks that Pods that belong to a Service fit in a set of nodes defined by configured labels. This plugin also favors spreading the Pods belonging to a Service across nodes. Extension points: preFilter, filter, score.
• NodePreferAvoidPods: Prioritizes nodes according to the node annotation scheduler.alpha.kubernetes.io/preferAvoidPods. Extension points: score.

Multiple profiles

You can configure kube-scheduler to run more than one profile. Each profile has an associated scheduler name and can have a different set of plugins configured in its extension points.

With the following sample configuration, the scheduler will run with two profiles: one with the default plugins and one with all scoring plugins disabled.

apiVersion: kubescheduler.config.k8s.io/v1beta2
kind: KubeSchedulerConfiguration
profiles:
  - schedulerName: default-scheduler
  - schedulerName: no-scoring-scheduler
    plugins:
      preScore:
        disabled:
        - name: '*'
      score:
        disabled:
        - name: '*'

Pods that want to be scheduled according to a specific profile can include the corresponding scheduler name in its .spec.schedulerName.

By default, one profile with the scheduler name default-scheduler is created. This profile includes the default plugins described above. When declaring more than one profile, a unique scheduler name for each of them is required.

If a Pod doesn't specify a scheduler name, kube-apiserver will set it to default-scheduler. Therefore, a profile with this scheduler name should exist to get those pods scheduled.

Scheduler configuration migrations

• v1beta1 → v1beta2

What's next

• Read the kube-scheduler reference
• Learn about scheduling
• Read the kube-scheduler configuration (v1beta1) reference
• Read the kube-scheduler configuration (v1beta2) reference