---
apiVersion: autoscaling/v2
items:
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/lightgbm/iris
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-lightgbm-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:01:25Z"
    labels:
      app: isvc.isvc-lightgbm-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-lightgbm
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"cb6de5e4-4fe9-4a87-9cf0-2f4c739a49c0"}: {}
        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: "2026-04-16T17:01:25Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:50:42Z"
    name: isvc-lightgbm-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-lightgbm
      uid: cb6de5e4-4fe9-4a87-9cf0-2f4c739a49c0
    resourceVersion: "40927"
    uid: aeb134b8-bde8-42aa-a046-e41235051fa7
  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-lightgbm-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:01:40Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:03:40Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:03:40Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 2
          averageValue: 1m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/lightgbm/iris
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-lightgbm-runtime-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:03:05Z"
    labels:
      app: isvc.isvc-lightgbm-runtime-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-lightgbm-runtime
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"a12ee8c7-c626-4dc2-8f13-a4924c8d3454"}: {}
        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: "2026-04-16T17:03:05Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:51:23Z"
    name: isvc-lightgbm-runtime-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-lightgbm-runtime
      uid: a12ee8c7-c626-4dc2-8f13-a4924c8d3454
    resourceVersion: "41216"
    uid: 67d1a53c-ea3f-441e-95b6-1aef696375af
  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-lightgbm-runtime-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:03:20Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:05:05Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:05:05Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 2
          averageValue: 1m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/lightgbm/v2/iris
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-lightgbm-v2-kserve-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:07:26Z"
    labels:
      app: isvc.isvc-lightgbm-v2-kserve-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-lightgbm-v2-kserve
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"a4889cd8-da73-42a2-b00b-beef828283be"}: {}
        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: "2026-04-16T17:07:26Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:51:13Z"
    name: isvc-lightgbm-v2-kserve-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-lightgbm-v2-kserve
      uid: a4889cd8-da73-42a2-b00b-beef828283be
    resourceVersion: "41146"
    uid: b3857168-9c11-4723-91e8-4f7aa9ad9442
  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-lightgbm-v2-kserve-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:07:41Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:08:11Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:08:11Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 2
          averageValue: 1m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/lightgbm/v2/iris
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-lightgbm-v2-runtime-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:04:25Z"
    labels:
      app: isvc.isvc-lightgbm-v2-runtime-predictor
      component: predictor
      modelClass: mlserver_lightgbm.LightGBMModel
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-lightgbm-v2-runtime
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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:modelClass: {}
            f:networking.kserve.io/visibility: {}
            f:serving.kserve.io/inferenceservice: {}
          f:ownerReferences:
            .: {}
            k:{"uid":"273fb1a7-ba44-453e-b637-3dd8cff506cd"}: {}
        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: "2026-04-16T17:04:25Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:51:13Z"
    name: isvc-lightgbm-v2-runtime-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-lightgbm-v2-runtime
      uid: 273fb1a7-ba44-453e-b637-3dd8cff506cd
    resourceVersion: "41145"
    uid: ffeaa638-9c20-4506-90ad-40ac243091eb
  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-lightgbm-v2-runtime-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:04:40Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:07:56Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:07:56Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 4
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/logger: "true"
      internal.serving.kserve.io/logger-mode: all
      internal.serving.kserve.io/logger-sink-url: http://message-dumper-predictor.kserve-ci-e2e-test.svc.cluster.local
      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-logger-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:00:05Z"
    labels:
      app: isvc.isvc-logger-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-logger
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            f:internal.serving.kserve.io/logger: {}
            f:internal.serving.kserve.io/logger-mode: {}
            f:internal.serving.kserve.io/logger-sink-url: {}
            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":"d9fad840-70db-4b42-99b0-6b0beec200c1"}: {}
        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: "2026-04-16T17:00:05Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:02:20Z"
    name: isvc-logger-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-logger
      uid: d9fad840-70db-4b42-99b0-6b0beec200c1
    resourceVersion: "16278"
    uid: 41603f3d-b103-470d-89ac-e6a2995e885b
  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-logger-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:00:20Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:02:20Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:02:20Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 2
          averageValue: 3m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/mlflow/wine
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-mlflow-v2-runtime-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:07:46Z"
    labels:
      app: isvc.isvc-mlflow-v2-runtime-predictor
      component: predictor
      modelClass: mlserver_mlflow.MLflowRuntime
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-mlflow-v2-runtime
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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:modelClass: {}
            f:networking.kserve.io/visibility: {}
            f:serving.kserve.io/inferenceservice: {}
          f:ownerReferences:
            .: {}
            k:{"uid":"40a180d1-c28f-4a93-9e9a-1efe9cf87424"}: {}
        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: "2026-04-16T17:07:46Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:50:33Z"
    name: isvc-mlflow-v2-runtime-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-mlflow-v2-runtime
      uid: 40a180d1-c28f-4a93-9e9a-1efe9cf87424
    resourceVersion: "40868"
    uid: 74007e77-2000-40d1-9324-69cfaff3a7f1
  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-mlflow-v2-runtime-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:08:01Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:09:01Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:09:01Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 2
          averageValue: 1m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/paddle/resnet
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-paddle-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:09:36Z"
    labels:
      app: isvc.isvc-paddle-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-paddle
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"72ee0cb1-19fd-4806-bb7d-affe585206fa"}: {}
        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: "2026-04-16T17:09:36Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:11:36Z"
    name: isvc-paddle-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-paddle
      uid: 72ee0cb1-19fd-4806-bb7d-affe585206fa
    resourceVersion: "20751"
    uid: 99569964-2b54-46fa-aa6b-9175aa3b69e4
  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-paddle-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:09:51Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:11:36Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:11:36Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 1
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/paddle/resnet
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-paddle-runtime-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:10:47Z"
    labels:
      app: isvc.isvc-paddle-runtime-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-paddle-runtime
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"de10213d-094b-48d9-9f4a-9513bbf83a2f"}: {}
        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: "2026-04-16T17:10:47Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:12:17Z"
    name: isvc-paddle-runtime-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-paddle-runtime
      uid: de10213d-094b-48d9-9f4a-9513bbf83a2f
    resourceVersion: "21102"
    uid: 195e1d37-ec83-4320-95b5-fd14a35b66a3
  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-paddle-runtime-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:11:02Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:12:17Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:12:17Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 1
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/paddle/resnet
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-paddle-v2-kserve-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:11:37Z"
    labels:
      app: isvc.isvc-paddle-v2-kserve-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-paddle-v2-kserve
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"c9a10b25-cbc5-42be-bdfa-10e9d0635195"}: {}
        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: "2026-04-16T17:11:37Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:13:23Z"
    name: isvc-paddle-v2-kserve-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-paddle-v2-kserve
      uid: c9a10b25-cbc5-42be-bdfa-10e9d0635195
    resourceVersion: "21647"
    uid: 41c3e3f4-5b9b-402e-9e52-2ccb04d2be71
  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-paddle-v2-kserve-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:11:52Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:13:23Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:13:23Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 1
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/pmml
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-pmml-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:12:38Z"
    labels:
      app: isvc.isvc-pmml-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-pmml
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"d48578ff-9102-4f42-916c-de35ccc44851"}: {}
        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: "2026-04-16T17:12:38Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:14:53Z"
    name: isvc-pmml-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-pmml
      uid: d48578ff-9102-4f42-916c-de35ccc44851
    resourceVersion: "22362"
    uid: 28012bf2-f24c-4985-a920-042913869859
  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-pmml-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:12:53Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:14:53Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:14:53Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
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          averageUtilization: 20
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
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      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-pmml-runtime-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:14:08Z"
    labels:
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      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-pmml-runtime
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
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            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:
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            f:app: {}
            f:component: {}
            f:networking.kserve.io/visibility: {}
            f:serving.kserve.io/inferenceservice: {}
          f:ownerReferences:
            .: {}
            k:{"uid":"c93ca6eb-c8a4-4745-b625-7289edde0dd5"}: {}
        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:
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            f:kind: {}
            f:name: {}
      manager: manager
      operation: Update
      time: "2026-04-16T17:14:08Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:16:08Z"
    name: isvc-pmml-runtime-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
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      blockOwnerDeletion: true
      controller: true
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    uid: 8cf6196c-7e68-4dcf-9835-86106db30d90
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          value: 100
        selectPolicy: Max
      scaleUp:
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          type: Pods
          value: 4
        - periodSeconds: 15
          type: Percent
          value: 100
        selectPolicy: Max
        stabilizationWindowSeconds: 0
    maxReplicas: 1
    metrics:
    - resource:
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        target:
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          type: Utilization
      type: Resource
    minReplicas: 1
    scaleTargetRef:
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      kind: Deployment
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  status:
    conditions:
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      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:16:08Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:16:08Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
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          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
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      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-pmml-v2-kserve-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:15:28Z"
    labels:
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      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-pmml-v2-kserve
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"50712905-aba0-43cf-8952-d8f8ddbdc116"}: {}
        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:
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            f:kind: {}
            f:name: {}
      manager: manager
      operation: Update
      time: "2026-04-16T17:15:28Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:17:29Z"
    name: isvc-pmml-v2-kserve-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
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    resourceVersion: "23617"
    uid: 25dba903-c3c7-4936-a99a-0756932cf712
  spec:
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          type: Percent
          value: 100
        selectPolicy: Max
      scaleUp:
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          type: Pods
          value: 4
        - periodSeconds: 15
          type: Percent
          value: 100
        selectPolicy: Max
        stabilizationWindowSeconds: 0
    maxReplicas: 1
    metrics:
    - resource:
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        target:
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          type: Utilization
      type: Resource
    minReplicas: 1
    scaleTargetRef:
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      kind: Deployment
      name: isvc-pmml-v2-kserve-predictor
  status:
    conditions:
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      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:17:29Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:17:29Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
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          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
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      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-predictive-lightgbm-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:22:21Z"
    labels:
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      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-predictive-lightgbm
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
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            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":"f9c98bd4-33d2-4dde-8896-0c9c0dbcab60"}: {}
        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:
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            f:kind: {}
            f:name: {}
      manager: manager
      operation: Update
      time: "2026-04-16T17:22:21Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:51:07Z"
    name: isvc-predictive-lightgbm-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
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      uid: f9c98bd4-33d2-4dde-8896-0c9c0dbcab60
    resourceVersion: "41106"
    uid: 761bc118-d6ac-4f0d-92c8-54f1e87843fc
  spec:
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          type: Percent
          value: 100
        selectPolicy: Max
      scaleUp:
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        - 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-predictive-lightgbm-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:22:36Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:24:36Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:24:36Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
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          averageUtilization: 4
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/lightgbm/iris
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-predictive-lightgbm-v2-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:27:01Z"
    labels:
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      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-predictive-lightgbm-v2
    managedFields:
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      fieldsType: FieldsV1
      fieldsV1:
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            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":"487bfd88-9ac9-41b2-a17e-7a43bc539073"}: {}
        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:
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            f:kind: {}
            f:name: {}
      manager: manager
      operation: Update
      time: "2026-04-16T17:27:01Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:49:33Z"
    name: isvc-predictive-lightgbm-v2-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
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      blockOwnerDeletion: true
      controller: true
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    resourceVersion: "40412"
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  spec:
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          type: Percent
          value: 100
        selectPolicy: Max
      scaleUp:
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          type: Pods
          value: 4
        - periodSeconds: 15
          type: Percent
          value: 100
        selectPolicy: Max
        stabilizationWindowSeconds: 0
    maxReplicas: 1
    metrics:
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        target:
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          type: Utilization
      type: Resource
    minReplicas: 1
    scaleTargetRef:
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      kind: Deployment
      name: isvc-predictive-lightgbm-v2-predictor
  status:
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      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:28:47Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:28:47Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
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          averageUtilization: 4
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
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      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-predictive-sklearn-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:18:50Z"
    labels:
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      component: predictor
      networking.kserve.io/visibility: exposed
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    managedFields:
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      fieldsType: FieldsV1
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            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":"6416a723-2966-48f4-b9a5-e28c2197fa8c"}: {}
        f:spec:
          f:behavior:
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            f:scaleDown:
              .: {}
              f:policies: {}
              f:selectPolicy: {}
            f:scaleUp:
              .: {}
              f:policies: {}
              f:selectPolicy: {}
              f:stabilizationWindowSeconds: {}
          f:maxReplicas: {}
          f:metrics: {}
          f:minReplicas: {}
          f:scaleTargetRef:
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            f:kind: {}
            f:name: {}
      manager: manager
      operation: Update
      time: "2026-04-16T17:18:50Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:49:52Z"
    name: isvc-predictive-sklearn-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-predictive-sklearn
      uid: 6416a723-2966-48f4-b9a5-e28c2197fa8c
    resourceVersion: "40549"
    uid: 67546d32-cd5e-423d-b6c2-431557590d46
  spec:
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          type: Percent
          value: 100
        selectPolicy: Max
      scaleUp:
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          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
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    minReplicas: 1
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            f:serving.kserve.io/deploymentMode: {}
          f:labels:
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    - apiVersion: autoscaling/v2
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      fieldsV1:
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    - apiVersion: autoscaling/v2
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      fieldsV1:
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    - apiVersion: autoscaling/v2
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      fieldsV1:
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    - apiVersion: autoscaling/v2
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      manager: kube-controller-manager
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  kind: HorizontalPodAutoscaler
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          f:ownerReferences:
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    - apiVersion: autoscaling/v2
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              .: {}
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    - apiVersion: autoscaling/v2
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  kind: HorizontalPodAutoscaler
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    - apiVersion: autoscaling/v2
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      fieldsV1:
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              .: {}
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    - apiVersion: autoscaling/v2
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      fieldsV1:
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    metrics:
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  kind: HorizontalPodAutoscaler
  metadata:
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  kind: HorizontalPodAutoscaler
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    - apiVersion: autoscaling/v2
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            k:{"type":"ScalingActive"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:50:02Z"
    name: isvc-xgboost-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-xgboost
      uid: 45e3cecf-9e4b-4859-bbcb-6ee90dffaf95
    resourceVersion: "40631"
    uid: f5d012a5-d330-4a25-8672-44f2b5749141
  spec:
    behavior:
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        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-xgboost-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:38:02Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:39:47Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:39:47Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
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          averageUtilization: 4
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/xgboost/1.5/model
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-xgboost-runtime-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:40:37Z"
    labels:
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      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-xgboost-runtime
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"1af5b24d-9020-4f53-b4ea-54346e62060d"}: {}
        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: "2026-04-16T17:40:37Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:49:53Z"
    name: isvc-xgboost-runtime-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-xgboost-runtime
      uid: 1af5b24d-9020-4f53-b4ea-54346e62060d
    resourceVersion: "40556"
    uid: 980bdfce-4349-46a4-b283-cd877f539f21
  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-xgboost-runtime-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:40:52Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:42:22Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:42:22Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 4
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/xgboost/iris
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-xgboost-v2-mlserver-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:39:17Z"
    labels:
      app: isvc.isvc-xgboost-v2-mlserver-predictor
      component: predictor
      modelClass: mlserver_xgboost.XGBoostModel
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-xgboost-v2-mlserver
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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:modelClass: {}
            f:networking.kserve.io/visibility: {}
            f:serving.kserve.io/inferenceservice: {}
          f:ownerReferences:
            .: {}
            k:{"uid":"11376acb-31c9-43ac-aac1-b93b325e3ba0"}: {}
        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: "2026-04-16T17:39:17Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:50:18Z"
    name: isvc-xgboost-v2-mlserver-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-xgboost-v2-mlserver
      uid: 11376acb-31c9-43ac-aac1-b93b325e3ba0
    resourceVersion: "40738"
    uid: 37799ecf-35d6-41ab-b687-be589deee402
  spec:
    behavior:
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        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-xgboost-v2-mlserver-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:39:32Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:40:32Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:40:32Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 2
          averageValue: 1m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/xgboost/iris
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-xgboost-v2-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:42:38Z"
    labels:
      app: isvc.isvc-xgboost-v2-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-xgboost-v2
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"d9e28243-b847-4bec-afee-ec48fa812e33"}: {}
        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: "2026-04-16T17:42:38Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:49:53Z"
    name: isvc-xgboost-v2-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-xgboost-v2
      uid: d9e28243-b847-4bec-afee-ec48fa812e33
    resourceVersion: "40560"
    uid: 290616ef-b246-4301-ac22-b45999fc6772
  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-xgboost-v2-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:42:53Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:44:38Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:44:38Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 4
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/xgboost/iris
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: isvc-xgboost-v2-runtime-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:41:47Z"
    labels:
      app: isvc.isvc-xgboost-v2-runtime-predictor
      component: predictor
      modelClass: mlserver_xgboost.XGBoostModel
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: isvc-xgboost-v2-runtime
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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:modelClass: {}
            f:networking.kserve.io/visibility: {}
            f:serving.kserve.io/inferenceservice: {}
          f:ownerReferences:
            .: {}
            k:{"uid":"5db551b9-a99c-4cf1-9200-f52f4a355471"}: {}
        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: "2026-04-16T17:41:47Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:50:48Z"
    name: isvc-xgboost-v2-runtime-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: isvc-xgboost-v2-runtime
      uid: 5db551b9-a99c-4cf1-9200-f52f4a355471
    resourceVersion: "40971"
    uid: ba988150-1bd2-4839-be5d-3deaa91906ce
  spec:
    behavior:
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        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-xgboost-v2-runtime-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:42:02Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:43:17Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:43:17Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 4
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      service.beta.openshift.io/serving-cert-secret-name: message-dumper-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T16:59:55Z"
    labels:
      app: isvc.message-dumper-predictor
      component: predictor
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: message-dumper
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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":"aa9fbb8e-40df-4c76-8736-d7de7fc1623f"}: {}
        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: "2026-04-16T16:59:55Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:00:40Z"
    name: message-dumper-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: message-dumper
      uid: aa9fbb8e-40df-4c76-8736-d7de7fc1623f
    resourceVersion: "15486"
    uid: a7781d48-52be-4cd3-9173-c4b88e31eebd
  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: message-dumper-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:00:10Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:00:40Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:00:40Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 10
          averageValue: 1m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      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: sklearn-v2-mlserver-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:29:44Z"
    labels:
      app: isvc.sklearn-v2-mlserver-predictor
      component: predictor
      modelClass: mlserver_sklearn.SKLearnModel
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: sklearn-v2-mlserver
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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:modelClass: {}
            f:networking.kserve.io/visibility: {}
            f:serving.kserve.io/inferenceservice: {}
          f:ownerReferences:
            .: {}
            k:{"uid":"84643644-0710-4bf6-a1c6-1846a85f06b1"}: {}
        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: "2026-04-16T17:29:44Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:50:45Z"
    name: sklearn-v2-mlserver-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: sklearn-v2-mlserver
      uid: 84643644-0710-4bf6-a1c6-1846a85f06b1
    resourceVersion: "40949"
    uid: 599c1efa-043e-4dfd-b220-670bc37eae9c
  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: sklearn-v2-mlserver-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:29:59Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:30:59Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:30:59Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 2
          averageValue: 1m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
- apiVersion: autoscaling/v2
  kind: HorizontalPodAutoscaler
  metadata:
    annotations:
      internal.serving.kserve.io/storage-initializer-sourceuri: gs://kfserving-examples/models/xgboost/iris/model.bst
      prometheus.kserve.io/path: /metrics
      prometheus.kserve.io/port: "8080"
      service.beta.openshift.io/serving-cert-secret-name: xgboost-v2-mlserver-predictor-serving-cert
      serving.kserve.io/deploymentMode: Standard
    creationTimestamp: "2026-04-16T17:39:57Z"
    labels:
      app: isvc.xgboost-v2-mlserver-predictor
      component: predictor
      modelClass: mlserver_xgboost.XGBoostModel
      networking.kserve.io/visibility: exposed
      serving.kserve.io/inferenceservice: xgboost-v2-mlserver
    managedFields:
    - apiVersion: autoscaling/v2
      fieldsType: FieldsV1
      fieldsV1:
        f:metadata:
          f:annotations:
            .: {}
            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:modelClass: {}
            f:networking.kserve.io/visibility: {}
            f:serving.kserve.io/inferenceservice: {}
          f:ownerReferences:
            .: {}
            k:{"uid":"44febf4b-aeff-4c41-84b0-f4e873f93c0f"}: {}
        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: "2026-04-16T17:39:57Z"
    - 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: {}
            k:{"type":"ScalingLimited"}:
              .: {}
              f:lastTransitionTime: {}
              f:message: {}
              f:reason: {}
              f:status: {}
              f:type: {}
          f:currentMetrics: {}
          f:currentReplicas: {}
          f:desiredReplicas: {}
      manager: kube-controller-manager
      operation: Update
      subresource: status
      time: "2026-04-16T17:51:28Z"
    name: xgboost-v2-mlserver-predictor
    namespace: kserve-ci-e2e-test
    ownerReferences:
    - apiVersion: serving.kserve.io/v1beta1
      blockOwnerDeletion: true
      controller: true
      kind: InferenceService
      name: xgboost-v2-mlserver
      uid: 44febf4b-aeff-4c41-84b0-f4e873f93c0f
    resourceVersion: "41252"
    uid: 471a7118-45f3-48a4-b408-80202fd39a0b
  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: xgboost-v2-mlserver-predictor
  status:
    conditions:
    - lastTransitionTime: "2026-04-16T17:40:12Z"
      message: recommended size matches current size
      reason: ReadyForNewScale
      status: "True"
      type: AbleToScale
    - lastTransitionTime: "2026-04-16T17:41:12Z"
      message: the HPA was able to successfully calculate a replica count from cpu
        resource utilization (percentage of request)
      reason: ValidMetricFound
      status: "True"
      type: ScalingActive
    - lastTransitionTime: "2026-04-16T17:41:12Z"
      message: the desired count is within the acceptable range
      reason: DesiredWithinRange
      status: "False"
      type: ScalingLimited
    currentMetrics:
    - resource:
        current:
          averageUtilization: 4
          averageValue: 2m
        name: cpu
      type: Resource
    currentReplicas: 1
    desiredReplicas: 1
kind: HorizontalPodAutoscalerList
metadata:
  resourceVersion: "41253"