remove indication of enabling RuntimeClass feature gate since it is a GA feature
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@ -35,12 +35,8 @@ but with different settings.
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## Setup
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Ensure the RuntimeClass feature gate is enabled (it is by default). See [Feature
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Gates](/docs/reference/command-line-tools-reference/feature-gates/) for an explanation of enabling
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feature gates. The `RuntimeClass` feature gate must be enabled on API server _and_ kubelets.
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1. Configure the CRI implementation on nodes (runtime dependent).
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2. Create the corresponding RuntimeClass resources.
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1. Configure the CRI implementation on nodes (runtime dependent)
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2. Create the corresponding RuntimeClass resources
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### 1. Configure the CRI implementation on nodes
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@ -146,9 +142,7 @@ See CRI-O's [config documentation](https://raw.githubusercontent.com/cri-o/cri-o
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As of Kubernetes v1.16, RuntimeClass includes support for heterogeneous clusters through its
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`scheduling` fields. Through the use of these fields, you can ensure that pods running with this
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RuntimeClass are scheduled to nodes that support it. To use the scheduling support, you must have
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the [RuntimeClass admission controller](/docs/reference/access-authn-authz/admission-controllers/#runtimeclass)
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enabled (the default, as of 1.16).
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RuntimeClass are scheduled to nodes that support it.
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To ensure pods land on nodes supporting a specific RuntimeClass, that set of nodes should have a
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common label which is then selected by the `runtimeclass.scheduling.nodeSelector` field. The
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@ -170,8 +164,6 @@ Nodes](/docs/concepts/scheduling-eviction/assign-pod-node/).
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You can specify _overhead_ resources that are associated with running a Pod. Declaring overhead allows
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the cluster (including the scheduler) to account for it when making decisions about Pods and resources.
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To use Pod overhead, you must have the PodOverhead [feature gate](/docs/reference/command-line-tools-reference/feature-gates/)
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enabled (it is on by default).
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Pod overhead is defined in RuntimeClass through the `overhead` fields. Through the use of these fields,
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you can specify the overhead of running pods utilizing this RuntimeClass and ensure these overheads
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