Merge master into dev-1.21 to keep in sync, plus latest API reference
This sync merge includes API reference updates.
This commit is contained in:
@@ -11,18 +11,17 @@ weight: 20
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<!-- overview -->
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You can constrain a {{< glossary_tooltip text="Pod" term_id="pod" >}} to only be able to run on particular
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{{< glossary_tooltip text="Node(s)" term_id="node" >}}, or to prefer to run on particular nodes.
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There are several ways to do this, and the recommended approaches all use
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[label selectors](/docs/concepts/overview/working-with-objects/labels/) to make the selection.
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You can constrain a {{< glossary_tooltip text="Pod" term_id="pod" >}} so that it can only run on particular set of
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{{< glossary_tooltip text="Node(s)" term_id="node" >}}.
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There are several ways to do this and the recommended approaches all use
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[label selectors](/docs/concepts/overview/working-with-objects/labels/) to facilitate the selection.
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Generally such constraints are unnecessary, as the scheduler will automatically do a reasonable placement
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(e.g. spread your pods across nodes, not place the pod on a node with insufficient free resources, etc.)
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but there are some circumstances where you may want more control on a node where a pod lands, for example to ensure
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(e.g. spread your pods across nodes so as not place the pod on a node with insufficient free resources, etc.)
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but there are some circumstances where you may want to control which node the pod deploys to - for example to ensure
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that a pod ends up on a machine with an SSD attached to it, or to co-locate pods from two different
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services that communicate a lot into the same availability zone.
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<!-- body -->
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## nodeSelector
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@@ -87,6 +87,7 @@ of the scheduler:
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* Read about [scheduler performance tuning](/docs/concepts/scheduling-eviction/scheduler-perf-tuning/)
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* Read about [Pod topology spread constraints](/docs/concepts/workloads/pods/pod-topology-spread-constraints/)
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* Read the [reference documentation](/docs/reference/command-line-tools-reference/kube-scheduler/) for kube-scheduler
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* Read the [kube-scheduler config (v1beta1)](/docs/reference/config-api/kube-scheduler-config.v1beta1/) reference
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* Learn about [configuring multiple schedulers](/docs/tasks/extend-kubernetes/configure-multiple-schedulers/)
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* Learn about [topology management policies](/docs/tasks/administer-cluster/topology-manager/)
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* Learn about [Pod Overhead](/docs/concepts/scheduling-eviction/pod-overhead/)
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@@ -94,3 +95,4 @@ of the scheduler:
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* [Volume Topology Support](/docs/concepts/storage/storage-classes/#volume-binding-mode)
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* [Storage Capacity Tracking](/docs/concepts/storage/storage-capacity/)
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* [Node-specific Volume Limits](/docs/concepts/storage/storage-limits/)
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@@ -24,8 +24,6 @@ in a process called _Binding_.
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This page explains performance tuning optimizations that are relevant for
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large Kubernetes clusters.
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<!-- body -->
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In large clusters, you can tune the scheduler's behaviour balancing
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@@ -44,8 +42,10 @@ should use its compiled-in default.
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If you set `percentageOfNodesToScore` above 100, kube-scheduler acts as if you
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had set a value of 100.
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To change the value, edit the kube-scheduler configuration file (this is likely
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to be `/etc/kubernetes/config/kube-scheduler.yaml`), then restart the scheduler.
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To change the value, edit the
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[kube-scheduler configuration file](/docs/reference/config-api/kube-scheduler-config.v1beta1/)
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and then restart the scheduler.
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In many cases, the configuration file can be found at `/etc/kubernetes/config/kube-scheduler.yaml`.
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After you have made this change, you can run
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@@ -99,7 +99,6 @@ algorithmSource:
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percentageOfNodesToScore: 50
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```
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## Tuning percentageOfNodesToScore
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`percentageOfNodesToScore` must be a value between 1 and 100 with the default
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@@ -160,4 +159,7 @@ Node 1, Node 5, Node 2, Node 6, Node 3, Node 4
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After going over all the Nodes, it goes back to Node 1.
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## {{% heading "whatsnext" %}}
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* Check the [kube-scheduler configuration reference (v1beta1)](/docs/reference/config-api/kube-scheduler-config.v1beta1/)
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