Apache Pinot

Hello Team

I have deployed Apache Pinot on Amazon EKS and configured Horizontal Pod Autoscaling (HPA) for the Pinot Broker using both CPU and memory metrics.
However, I am observing that the Broker pods always scale up even when *CPU usage is low* and *no queries are being executed*. The memory consumption keeps increasing slowly over time, which continuously triggers the memory-based HPA threshold.
Could you please confirm the recommended autoscaling strategy for Pinot Broker?
 Should we *scale only based on CPU*, or should memory also be included?
Below is the HPA configuration I am currently using:
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: hpa-pinot-broker
  namespace: pinot-system # &lt;-- Add the namespace here
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: pinot-broker
  minReplicas: 2
  maxReplicas: 8
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 75
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 75