Add logging in case we have minimum memory recommendations

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

@@ -17,6 +17,8 @@ limitations under the License.
 package logic
 
 import (
+	"encoding/json"
+	"k8s.io/klog/v2"
 	"math"
 	"time"
 
@@ -152,9 +154,28 @@ func (e *minResourcesEstimator) GetResourceEstimation(s *model.AggregateContaine
 	newResources := make(model.Resources)
 	for resource, resourceAmount := range originalResources {
 		if resourceAmount < e.minResources[resource] {
+			klog.Warningf("Computed resources for %s were below minimum! Computed %v, minimum is %v.", resource, resourceAmount, e.minResources[resource])
 			resourceAmount = e.minResources[resource]
+			logHistogramInformation(s)
 		}
 		newResources[resource] = resourceAmount
 	}
 	return newResources
 }
+
+func logHistogramInformation(s *model.AggregateContainerState) {
+	if s.AggregateCPUUsage == nil {
+		klog.Warning("Aggregate CPU usage has no metric samples, cannot show internal histogram data!")
+		return
+	}
+	if s.AggregateMemoryPeaks == nil {
+		klog.Warning("Aggregate memory usage has no metric samples, cannot show internal histogram data!")
+		return
+	}
+	c, _ := s.SaveToCheckpoint()
+	prettyCheckpoint, err := json.MarshalIndent(c, "", "  ")
+	if err != nil {
+		klog.Errorf("Error during marshalling checkpoint: %s", err)
+	}
+	klog.Warningf("Here's the checkpoint/state: %s", prettyCheckpoint)
+}