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docs/admin/accessing-the-api.md

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@@ -148,7 +148,7 @@ By default the Kubernetes APIserver serves HTTP on 2 ports:
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- default IP is first non-localhost network interface, change with `--bind-address` flag.
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- request handled by authentication and authorization modules.
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- request handled by admission control module(s).
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- authentication and authoriation modules run.
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- authentication and authorisation modules run.
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When the cluster is created by `kube-up.sh`, on Google Compute Engine (GCE),
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and on several other cloud providers, the API server serves on port 443. On

docs/admin/node.md

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@@ -186,7 +186,7 @@ Modifications include setting labels on the node and marking it unschedulable.
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Labels on nodes can be used in conjunction with node selectors on pods to control scheduling,
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e.g. to constrain a pod to only be eligible to run on a subset of the nodes.
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Marking a node as unscheduleable will prevent new pods from being scheduled to that
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Marking a node as unschedulable will prevent new pods from being scheduled to that
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node, but will not affect any existing pods on the node. This is useful as a
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preparatory step before a node reboot, etc. For example, to mark a node
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unschedulable, run this command:

docs/admin/out-of-resource.md

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The `kubelet` currently polls `cAdvisor` to collect memory usage stats at a regular interval. If memory usage
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increases within that window rapidly, the `kubelet` may not observe `MemoryPressure` fast enough, and the `OOMKiller`
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will still be invoked. We intend to integrate with the `memcg` notification API in a future release to reduce this
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latency, and instead have the kernel tell us when a threshold has been crossed immmediately.
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latency, and instead have the kernel tell us when a threshold has been crossed immediately.
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If you are not trying to achieve extreme utilization, but a sensible measure of overcommit, a viable workaround for
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this issue is to set eviction thresholds at approximately 75% capacity. This increases the ability of this feature

docs/admin/resourcequota/index.md

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If the quota has a value specified for `requests.cpu` or `requests.memory`, then it requires that every incoming
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container makes an explicit request for those resources. If the quota has a value specified for `limits.cpu` or `limits.memory`,
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then it requires that every incoming container specifies an explict limit for those resources.
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then it requires that every incoming container specifies an explicit limit for those resources.
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## Viewing and Setting Quotas
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docs/admin/resourcequota/walkthrough.md

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services.nodeports 0 0
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```
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As you can see, the pod that was created is consuming explict amounts of compute resources, and the usage is being
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As you can see, the pod that was created is consuming explicit amounts of compute resources, and the usage is being
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tracked by Kubernetes properly.
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## Step 5: Advanced quota scopes

docs/getting-started-guides/windows/index.md

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`.\proxy.exe --v=3 --proxy-mode=userspace --hostname-override=<ip address/hostname of the windows node> --master=<api server location> --bind-address=<ip address of the windows node>`
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## Scheduling Pods on Windows
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Because your cluster has both Linux and Windows nodes, you must explictly set the nodeSelector constraint to be able to schedule Pods to Windows nodes. You must set nodeSelector with the label beta.kubernetes.io/os to the value windows; see the following example:
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Because your cluster has both Linux and Windows nodes, you must explicitly set the nodeSelector constraint to be able to schedule Pods to Windows nodes. You must set nodeSelector with the label beta.kubernetes.io/os to the value windows; see the following example:
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```
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{

docs/user-guide/kubectl/kubectl_get.md

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kubectl get -f pod.yaml -o json
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# Return only the phase value of the specified pod.
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kubectl get -o template pod/web-pod-13je7 --template={% raw %}{{.status.phase}}{% endraw %}
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kubectl get -o template pod/web-pod-13je7 --template={{.status.phase}}
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# List all replication controllers and services together in ps output format.
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kubectl get rc,services

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