---
apiVersion: autoscaling/v2
items:
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/batcher: "true"
      internal.serving.kserve.io/batcher-max-batchsize: "32"
      internal.serving.kserve.io/batcher-max-latency: "5000"
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/sklearn/1.0/model
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-sklearn-batcher-custom-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-09-09T20:22:13Z"
    labels:
      app: isvc.isvc-sklearn-batcher-custom-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-sklearn-batcher-custom
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            f:internal.serving.kserve.io/batcher: {}
            f:internal.serving.kserve.io/batcher-max-batchsize: {}
            f:internal.serving.kserve.io/batcher-max-latency: {}
            f:internal.serving.kserve.io/storage-initializer-sourceuri: {}
            f:prometheus.kserve.io/path: {}
            f:prometheus.kserve.io/port: {}
            f:service.beta.openshift.io/serving-cert-secret-name: {}
            f:serving.kserve.io/deploymentMode: {}
          f:labels:
            .: {}
            f:app: {}
            f:component: {}
            f:networking.kserve.io/visibility: {}
            f:serving.kserve.io/inferenceservice: {}
          f:ownerReferences:
            .: {}
            k:{"uid":"1f761573-8105-4124-ab70-50929283d13f"}: {}
        f:spec:
          f:behavior:
            .: {}
            f:scaleDown:
              .: {}
              f:policies: {}
              f:selectPolicy: {}
            f:scaleUp:
              .: {}
              f:policies: {}
              f:selectPolicy: {}
              f:stabilizationWindowSeconds: {}
          f:maxReplicas: {}
          f:metrics: {}
          f:minReplicas: {}
          f:scaleTargetRef:
            f:apiVersion: {}
            f:kind: {}
            f:name: {}
      manager: manager
      operation: Update
      time: "2026-09-09T20:22:13Z"
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:status:
          f:conditions:
            .: {}
            k:{"type":"AbleToScale"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
            k:{"type":"ScalingActive"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-09-09T20:22:58Z"
    name: isvc-sklearn-batcher-custom-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-sklearn-batcher-custom
      uid: 1f761573-8105-4124-ab70-50929283d13f
    resourceVersion: "16340"
    uid: 5d07940f-78b8-49a4-8dec-4ea6e248c8ec
  spec:
    behavior:
      scaleDown:
        policies:
        - periodSeconds: 15
          type: Percent
          value: 100
        selectPolicy: Max
      scaleUp:
        policies:
        - periodSeconds: 15
          type: Pods
          value: 4
        - periodSeconds: 15
          type: Percent
          value: 100
        selectPolicy: Max
        stabilizationWindowSeconds: 0
    maxReplicas: 1
    metrics:
    - resource:
        name: cpu
        target:
          averageUtilization: 80
          type: Utilization
      type: Resource
    minReplicas: 1
    scaleTargetRef:
      apiVersion: apps/v1
      kind: Deployment
      name: isvc-sklearn-batcher-custom-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-09-09T20:22:28Z"
      message: the HPA controller was able to get the target's current scale
      reason: SucceededGetScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-09-09T20:22:28Z"
      message: 'the HPA was unable to compute the replica count: failed to get cpu
        utilization: did not receive metrics for targeted pods (pods might be unready)'
      reason: FailedGetResourceMetric
      status: "False"
      type: ScalingActive
    currentMetrics:
    - type: ""
    currentReplicas: 1
    desiredReplicas: 0
kind: HorizontalPodAutoscalerList
metadata:
  resourceVersion: "42282"