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as a wrapper binary that executes the service while capturing stdout/stderr, rotates logs based on size
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and automatically cleaning up old files based on age.
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For details on the log rotation naming convention, please refer to the [kube-log-runner documentation](https://github.com/kubernetes/kubernetes/tree/master/staging/src/k8s.io/component-base/logs/kube-log-runner)
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The log rotation functionality is disabled by default, causing log files to grow indefinitely.
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Managed Windows services with log rotation capabilities:
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- kubelet
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- kube-proxy
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Not yet supported:
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- containerd
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- csi-proxy
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- windows_exporter
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- hybrid-overlay-node
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- azure-cloud-node-manager
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For instructions to enable, customize or disable log rotation refer to
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[log rotation for managed Windows services documentation](docs/log-rotation-managed-services.md).
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### Autoscaling Windows nodes
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Cluster autoscaling is supported for Windows instances.
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@@ -257,7 +282,7 @@ Cluster autoscaling is supported for Windows instances.
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Windows instances brought up with WMCO are set up with the containerd container runtime. As WMCO installs and manages the container runtime,
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it is recommended not to preinstall containerd in MachineSet or BYOH Windows instances.
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### Cluster-wide proxy
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### Cluster-wide proxy
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WMCO supports using a [cluster-wide proxy](https://docs.openshift.com/container-platform/latest/networking/enable-cluster-wide-proxy.html)
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to route egress traffic from Windows nodes on OpenShift Container Platform.
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@@ -297,7 +322,7 @@ Some valid values could be: `$mirrorRegistry/oss/kubernetes/pause:3.9`, `$mirror
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### Horizontal Pod Autoscaling
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Horizontal Pod autoscaling is available for Windows workloads.
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Please follow the [Horizontal Pod autoscaling docs](https://docs.openshift.com/container-platform/latest/nodes/pods/nodes-pods-autoscaling.html)
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Please follow the [Horizontal Pod autoscaling docs](https://docs.openshift.com/container-platform/latest/nodes/pods/nodes-pods-autoscaling.html)
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to create a horizontal pod autoscaler object for CPU and memory utilization of Windows workloads.
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