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After [installation](#installation) the system is ready to recommend and set
@@ -275,15 +285,15 @@ VPA will set RAM request to 2 GB (following the resource policy) and RAM limit t
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be restarted. The pod may be recreated on a different node.
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* VPA does not evict pods which are not run under a controller. For such pods
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`Auto` mode is currently equivalent to `Initial`.
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* Vertical Pod Autoscaler **should not be used with the [Horizontal Pod Autoscaler](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/) (HPA) on CPU or memory** at this moment.
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* Vertical Pod Autoscaler **should not be used with the [Horizontal Pod Autoscaler](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/) (HPA) on CPU or memory** at this moment.
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However, you can use VPA with [HPA on custom and external metrics](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#support-for-custom-metrics).
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* The VPA admission controller is an admission webhook. If you add other admission webhooks
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to you cluster, it is important to analyze how they interact and whether they may conflict
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with each other. The order of admission controllers is defined by a flag on APIserver.
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* VPA reacts to most out-of-memory events, but not in all situations.
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* VPA performance has not been tested in large clusters.
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* VPA recommendation might exceed available resources (e.g. Node size, available
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size, available quota) and cause **pods to go pending**. This can be partly
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size, available quota) and cause **pods to go pending**. This can be partly
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addressed by using VPA together with [Cluster Autoscaler](https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/FAQ.md#basics).
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* Multiple VPA resources matching the same pod have undefined behavior.
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