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These are available POD/Namespace annotations *Regardless of **annotation-filter**:*
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```
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auto.request.operator/optimize=false # Ignore Pod/Namespace when optimizing entire cluster
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auto.request.operator/mode=average # Default Mode. Optimizes based on average. If ommited, mode is average
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auto.request.operator/mode=max # Sets the request to the MAXIMUM of all sample points
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auto.request.operator/mode=min # Sets the request to the MINIMUM of all sample points
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```
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### Disclaimer
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`sample-size` is the amount of data-points the controller will store in cache before constructing an average for the pod. After a requests resizing, the cache will clean itself and a new average will be calculated based on the sample size. If `min-seconds` has not yet passed since the pod has last been supposed to be sample-reconciled, the controller will keep sampling the pod until `min-seconds` have been reached and only then zero the sample and restart from cache.
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## Limitations
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- Does not work with CRD controllers (such as Argo Rollouts)
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