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Kubernetes Deployment with HPA scenarios to Scale Pods Despite CPU Thresholds Being Met

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kubernetes hpa autoscaling yaml

I recently switched to I'm trying to figure out I've been banging my head against this for hours. I'm currently working on a Kubernetes deployment that utilizes the Horizontal Pod Autoscaler (HPA) to manage scaling based on CPU utilization. However, I'm working with an scenario where the HPA does not scale up the pods even though the CPU usage exceeds the defined target threshold. The deployment is set up with a limit of 10 replicas, and I have set the target CPU utilization to 50%. Here's the relevant part of my configuration for the HPA: ```yaml apiVersion: autoscaling/v2beta2 kind: HorizontalPodAutoscaler metadata: name: my-app-hpa spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: my-app minReplicas: 1 maxReplicas: 10 metrics: - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 50 ``` My deployment YAML file looks like this: ```yaml apiVersion: apps/v1 kind: Deployment metadata: name: my-app spec: replicas: 1 selector: matchLabels: app: my-app template: metadata: labels: app: my-app spec: containers: - name: my-app image: my-app-image:latest resources: requests: cpu: 200m limits: cpu: 1 ``` During testing, I can see that the CPU usage of the pod goes up to around 70% intermittently. However, the HPA status indicates that no scaling actions have been taken. The status shows: ``` Status: CurrentReplicas: 1 DesiredReplicas: 1 ``` I've verified that the metrics server is up and running, using `kubectl get pods -n kube-system` to confirm that it’s operational. I also checked the logs for the metrics server and found no errors. I've tried tweaking the `averageUtilization` value, but that didn’t resolve the scenario either. Does anyone have insights into why the HPA might not be scaling up as expected? Are there any common pitfalls I might be overlooking, or additional configurations that might be required? My development environment is Linux. The stack includes Yaml and several other technologies. How would you solve this?