Make upper and lower bounds configurable for memory and cpu

vertical-pod-autoscaler/pkg/recommender/logic/recommender.go

@@ -25,10 +25,15 @@ import (
 )
 
 var (
- safetyMarginFraction = flag.Float64("recommendation-margin-fraction", 0.15, `Fraction of usage added as the safety margin to the recommended request`)
- podMinCPUMillicores = flag.Float64("pod-recommendation-min-cpu-millicores", 25, `Minimum CPU recommendation for a pod`)
- podMinMemoryMb = flag.Float64("pod-recommendation-min-memory-mb", 250, `Minimum memory recommendation for a pod`)
- targetCPUPercentile = flag.Float64("target-cpu-percentile", 0.9, "CPU usage percentile that will be used as a base for CPU target recommendation. Doesn't affect CPU lower bound, CPU upper bound nor memory recommendations.")
+ safetyMarginFraction = flag.Float64("recommendation-margin-fraction", 0.15, `Fraction of usage added as the safety margin to the recommended request`)
+ podMinCPUMillicores = flag.Float64("pod-recommendation-min-cpu-millicores", 25, `Minimum CPU recommendation for a pod`)
+ podMinMemoryMb = flag.Float64("pod-recommendation-min-memory-mb", 250, `Minimum memory recommendation for a pod`)
+ targetCPUPercentile = flag.Float64("target-cpu-percentile", 0.9, "CPU usage percentile that will be used as a base for CPU target recommendation. Doesn't affect CPU lower bound, CPU upper bound nor memory recommendations.")
+ lowerBoundCPUPercentile = flag.Float64("recommendation-lower-bound-cpu-percentile", 0.5, `CPU usage percentile that will be used for the lower bound on CPU recommendation.`)
+ upperBoundCPUPercentile = flag.Float64("recommendation-upper-bound-cpu-percentile", 0.95, `CPU usage percentile that will be used for the upper bound on CPU recommendation.`)
+ targetMemoryPercentile = flag.Float64("target-memory-percentile", 0.9, "Memory usage percentile that will be used as a base for memory target recommendation. Doesn't affect memory lower bound nor memory upper bound.")
+ lowerBoundMemoryPercentile = flag.Float64("recommendation-lower-bound-memory-percentile", 0.5, `Memory usage percentile that will used for the lower bound on memory recommendation.`)
+ upperBoundMemoryPercentile = flag.Float64("recommendation-upper-bound-memory-percentile", 0.95, `Memory usage percentile that will used for the upper bound on memory recommendation.`)
 )
 
 // PodResourceRecommender computes resource recommendation for a Vpa object.
@@ -102,16 +107,9 @@ func FilterControlledResources(estimation model.Resources, controlledResources [
 
 // CreatePodResourceRecommender returns the primary recommender.
 func CreatePodResourceRecommender() PodResourceRecommender {
- lowerBoundCPUPercentile := 0.5
- upperBoundCPUPercentile := 0.95
-
- targetMemoryPeaksPercentile := 0.9
- lowerBoundMemoryPeaksPercentile := 0.5
- upperBoundMemoryPeaksPercentile := 0.95
-
- targetEstimator := NewPercentileEstimator(*targetCPUPercentile, targetMemoryPeaksPercentile)
- lowerBoundEstimator := NewPercentileEstimator(lowerBoundCPUPercentile, lowerBoundMemoryPeaksPercentile)
- upperBoundEstimator := NewPercentileEstimator(upperBoundCPUPercentile, upperBoundMemoryPeaksPercentile)
+ targetEstimator := NewPercentileEstimator(*targetCPUPercentile, *targetMemoryPercentile)
+ lowerBoundEstimator := NewPercentileEstimator(*lowerBoundCPUPercentile, *lowerBoundMemoryPercentile)
+ upperBoundEstimator := NewPercentileEstimator(*upperBoundCPUPercentile, *upperBoundMemoryPercentile)
 
  targetEstimator = WithMargin(*safetyMarginFraction, targetEstimator)
  lowerBoundEstimator = WithMargin(*safetyMarginFraction, lowerBoundEstimator)