<p>I have a deployment in Kubernetes that takes advantage of HorizontalPodAutoscaler. What are the recommended or typical settings for averageUtilization for CPU and Memory? I'm running a FastAPI and React image within each pod and wanted to know what experiences you all have had in production environments for the averageUtilization setting.</p>
<pre><code>apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
  name: ***
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: ***
  minReplicas: 2
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 70

</code></pre>
<p>My current settings are at 70% for both CPU and Memory thresholds.</p>

Dan
<p>If there are no sudden requests on your pod, 70% is a good number. As it may also take time for the additional pods to be ready and existing pods may be fully utilized before the scaled up pods are ready.<br><br>When set to 50, it will scale up faster in the event of a sudden burst requests on your FastAPI and React image.  <br>Once the scaled up pods are ready, HPA will maintain an average CPU/Memory utilization of the desired percentage (50% or 70%) across all pods.<br></p>
