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status to master if node status does not change. Kubelet will ignore this
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frequency and post node status immediately if any change is detected. It is
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only used when node lease feature is enabled. nodeStatusReportFrequency's
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default value is 1m. But if nodeStatusUpdateFrequency is set explicitly,
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default value is 5m. But if nodeStatusUpdateFrequency is set explicitly,
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nodeStatusReportFrequency's default value will be set to
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nodeStatusUpdateFrequency for backward compatibility.
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Default: "1m"</td>
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Default: "5m"</td>
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</tr>
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@@ -590,7 +632,7 @@ Default: "cgroupfs"</td>
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Requires the CPUManager feature gate to be enabled.
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Dynamic Kubelet Config (beta): This field should not be updated without a full node
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reboot. It is safest to keep this value the same as the local config.
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Default: "none"</td>
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Default: "None"</td>
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</tr>
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@@ -606,6 +648,18 @@ Default: "10s"</td>
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</tr>
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<tr><td><code>memoryManagerPolicy</code><br/>
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<code>string</code>
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</td>
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<td>
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MemoryManagerPolicy is the name of the policy to use by memory manager.
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Requires the MemoryManager feature gate to be enabled.
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Dynamic Kubelet Config (beta): This field should not be updated without a full node
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reboot. It is safest to keep this value the same as the local config.
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Default: "none"</td>
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</tr>
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<tr><td><code>topologyManagerPolicy</code><br/>
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<code>string</code>
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</td>
@@ -1231,7 +1285,7 @@ Default: true</td>
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</td>
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<td>
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ShutdownGracePeriod specifies the total duration that the node should delay the shutdown and total grace period for pod termination during a node shutdown.
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Default: "30s"</td>
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Default: "0s"</td>
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</tr>
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@@ -1241,7 +1295,46 @@ Default: "30s"</td>
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<td>
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ShutdownGracePeriodCriticalPods specifies the duration used to terminate critical pods during a node shutdown. This should be less than ShutdownGracePeriod.
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For example, if ShutdownGracePeriod=30s, and ShutdownGracePeriodCriticalPods=10s, during a node shutdown the first 20 seconds would be reserved for gracefully terminating normal pods, and the last 10 seconds would be reserved for terminating critical pods.
ReservedMemory specifies a comma-separated list of memory reservations for NUMA nodes.
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The parameter makes sense only in the context of the memory manager feature. The memory manager will not allocate reserved memory for container workloads.
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For example, if you have a NUMA0 with 10Gi of memory and the ReservedMemory was specified to reserve 1Gi of memory at NUMA0,
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the memory manager will assume that only 9Gi is available for allocation.
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You can specify a different amount of NUMA node and memory types.
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You can omit this parameter at all, but you should be aware that the amount of reserved memory from all NUMA nodes
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should be equal to the amount of memory specified by the node allocatable features(https://kubernetes.io/docs/tasks/administer-cluster/reserve-compute-resources/#node-allocatable).
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If at least one node allocatable parameter has a non-zero value, you will need to specify at least one NUMA node.
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Also, avoid specifying:
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1. Duplicates, the same NUMA node, and memory type, but with a different value.
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2. zero limits for any memory type.
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3. NUMAs nodes IDs that do not exist under the machine.
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4. memory types except for memory and hugepages-<size>
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Default: nil</td>
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</tr>
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<tr><td><code>enableProfilingHandler</code><br/>
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<code>bool</code>
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</td>
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<td>
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enableProfilingHandler enables profiling via web interface host:port/debug/pprof/
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Default: true</td>
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</tr>
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<tr><td><code>enableDebugFlagsHandler</code><br/>
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<code>bool</code>
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</td>
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<td>
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enableDebugFlagsHandler enables flags endpoint via web interface host:port/debug/flags/v
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Default: true</td>
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</tr>
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@@ -1544,26 +1637,7 @@ and groups corresponding to the Organization in the client certificate.</td>
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