update word accessible and unambiguous
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@ -20,7 +20,7 @@ Use cases which are not listed below are out of the scope of MVP version of Reso
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HPA uses the latest value of cpu usage as an average aggregated across 1 minute
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(the window may change in the future). The data for a given set of pods
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(defined either by pod list or label selector) should be accesible in one request
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(defined either by pod list or label selector) should be accessible in one request
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due to performance issues.
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#### Scheduler
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@ -86,7 +86,7 @@ service of type LoadBalancer. The native cloud load-balancers on both AWS &
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GCE are region-level, and support load-balancing across instances in multiple
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zones (in the same region). For both clouds, the behaviour of the native cloud
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load-balancer is reasonable in the face of failures (indeed, this is why clouds
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provide load-balancing as a primitve).
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provide load-balancing as a primitive).
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For multi-AZ clusters we will therefore simply rely on the native cloud provider
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load balancer behaviour, and we do not anticipate substantial code changes.
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@ -170,8 +170,8 @@ GCE. If you had two volumes both named `myvolume` in two different GCE zones,
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this would not be ambiguous when Kubernetes is operating only in a single zone.
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But, when operating a cluster across multiple zones, `myvolume` is no longer
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sufficient to specify a volume uniquely. Worse, the fact that a volume happens
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to be unambigious at a particular time is no guarantee that it will continue to
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be unambigious in future, because a volume with the same name could
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to be unambiguous at a particular time is no guarantee that it will continue to
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be unambiguous in future, because a volume with the same name could
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subsequently be created in a second zone. While perhaps unlikely in practice,
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we cannot automatically enable multi-AZ clusters for GCE users if this then causes
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volume mounts to stop working.
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