Kubernetes HPA Not Scaling Up Pods Despite CPU Usage Reaching Thresholds
I'm trying to configure I'm working with an scenario with the Horizontal Pod Autoscaler (HPA) in my Kubernetes cluster, which is running on version 1.21.0... Despite my application consuming over 70% of CPU resources, the HPA does not seem to trigger scaling up the pods as expected. My HPA configuration looks like this: ```yaml apiVersion: autoscaling/v2beta2 kind: HorizontalPodAutoscaler metadata: name: my-app-hpa spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: my-app minReplicas: 2 maxReplicas: 10 metrics: - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 70 ``` I have confirmed that the metrics server is running and able to collect metrics properly. I can query the metrics using `kubectl top pods`, and it shows CPU usage well above the 70% threshold for all pods. However, the HPA status shows: ``` Status: CurrentReplicas: 2 DesiredReplicas: 2 Conditions: - Type: AbleToScale Status: "True" - Type: ScalingActive Status: "True" - Type: SuccessfulRescale Status: "True" ``` I've tried changing the target average utilization to a lower value like 50% and increased the `minReplicas`, but still, the HPA does not scale up the pods. Additionally, I checked the Kubernetes events using `kubectl get events` and there were no warnings or errors related to the HPA or the deployment. What could be causing the HPA not to scale up, and how can I troubleshoot this scenario further? For context: I'm using Yaml on Windows 11. Any pointers in the right direction? My development environment is Debian. Thanks, I really appreciate it! How would you solve this?