rewrite all links to issues to k8s links
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@ -46,18 +46,18 @@ done automatically based on statistical analysis and thresholds.
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* Provide a concrete proposal for implementing auto-scaling pods within Kubernetes
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* Implementation proposal should be in line with current discussions in existing issues:
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* Scale verb - [1629](https://github.com/GoogleCloudPlatform/kubernetes/issues/1629)
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* Scale verb - [1629](http://issue.k8s.io/1629)
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* Config conflicts - [Config](https://github.com/GoogleCloudPlatform/kubernetes/blob/c7cb991987193d4ca33544137a5cb7d0292cf7df/docs/config.md#automated-re-configuration-processes)
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* Rolling updates - [1353](https://github.com/GoogleCloudPlatform/kubernetes/issues/1353)
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* Multiple scalable types - [1624](https://github.com/GoogleCloudPlatform/kubernetes/issues/1624)
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* Rolling updates - [1353](http://issue.k8s.io/1353)
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* Multiple scalable types - [1624](http://issue.k8s.io/1624)
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## Constraints and Assumptions
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* This proposal is for horizontal scaling only. Vertical scaling will be handled in [issue 2072](https://github.com/GoogleCloudPlatform/kubernetes/issues/2072)
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* This proposal is for horizontal scaling only. Vertical scaling will be handled in [issue 2072](http://issue.k8s.io/2072)
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* `ReplicationControllers` will not know about the auto-scaler, they are the target of the auto-scaler. The `ReplicationController` responsibilities are
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constrained to only ensuring that the desired number of pods are operational per the [Replication Controller Design](../user-guide/replication-controller.md#responsibilities-of-the-replication-controller)
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* Auto-scalers will be loosely coupled with data gathering components in order to allow a wide variety of input sources
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* Auto-scalable resources will support a scale verb ([1629](https://github.com/GoogleCloudPlatform/kubernetes/issues/1629))
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* Auto-scalable resources will support a scale verb ([1629](http://issue.k8s.io/1629))
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such that the auto-scaler does not directly manipulate the underlying resource.
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* Initially, most thresholds will be set by application administrators. It should be possible for an autoscaler to be
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written later that sets thresholds automatically based on past behavior (CPU used vs incoming requests).
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@ -120,7 +120,7 @@ Since an auto-scaler is a durable object it is best represented as a resource.
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type AutoScalerInterface interface {
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//ScaleApplication adjusts a resource's replica count. Calls scale endpoint.
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//Args to this are based on what the endpoint
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//can support. See https://github.com/GoogleCloudPlatform/kubernetes/issues/1629
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//can support. See http://issue.k8s.io/1629
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ScaleApplication(num int) error
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}
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