case class HorizontalPodAutoscalerSpec(behavior: Optional[HorizontalPodAutoscalerBehavior] = Optional.Absent, maxReplicas: Int, metrics: Optional[Vector[MetricSpec]] = Optional.Absent, minReplicas: Optional[Int] = Optional.Absent, scaleTargetRef: CrossVersionObjectReference) extends Product with Serializable

HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.

maxReplicas

maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that minReplicas.

metrics

metrics contains the specifications for which to use to calculate the desired replica count (the maximum replica count across all metrics will be used). The desired replica count is calculated multiplying the ratio between the target value and the current value by the current number of pods. Ergo, metrics used must decrease as the pod count is increased, and vice-versa. See the individual metric source types for more information about how each type of metric must respond. If not set, the default metric will be set to 80% average CPU utilization.

minReplicas

minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down. It defaults to 1 pod. minReplicas is allowed to be 0 if the alpha feature gate HPAScaleToZero is enabled and at least one Object or External metric is configured. Scaling is active as long as at least one metric value is available.

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Instance Constructors

  1. new HorizontalPodAutoscalerSpec(behavior: Optional[HorizontalPodAutoscalerBehavior] = Optional.Absent, maxReplicas: Int, metrics: Optional[Vector[MetricSpec]] = Optional.Absent, minReplicas: Optional[Int] = Optional.Absent, scaleTargetRef: CrossVersionObjectReference)

    maxReplicas

    maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that minReplicas.

    metrics

    metrics contains the specifications for which to use to calculate the desired replica count (the maximum replica count across all metrics will be used). The desired replica count is calculated multiplying the ratio between the target value and the current value by the current number of pods. Ergo, metrics used must decrease as the pod count is increased, and vice-versa. See the individual metric source types for more information about how each type of metric must respond. If not set, the default metric will be set to 80% average CPU utilization.

    minReplicas

    minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down. It defaults to 1 pod. minReplicas is allowed to be 0 if the alpha feature gate HPAScaleToZero is enabled and at least one Object or External metric is configured. Scaling is active as long as at least one metric value is available.

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val behavior: Optional[HorizontalPodAutoscalerBehavior]
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def getBehavior: IO[K8sFailure, HorizontalPodAutoscalerBehavior]

    Gets behavior.

    Gets behavior.

    If the field is not present, fails with com.coralogix.zio.k8s.client.UndefinedField.

  9. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  10. def getMaxReplicas: IO[K8sFailure, Int]

    maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up.

    maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that minReplicas.

    This effect always succeeds, it is safe to use the field maxReplicas directly.

  11. def getMetrics: IO[K8sFailure, Vector[MetricSpec]]

    metrics contains the specifications for which to use to calculate the desired replica count (the maximum replica count across all metrics will be used).

    metrics contains the specifications for which to use to calculate the desired replica count (the maximum replica count across all metrics will be used). The desired replica count is calculated multiplying the ratio between the target value and the current value by the current number of pods. Ergo, metrics used must decrease as the pod count is increased, and vice-versa. See the individual metric source types for more information about how each type of metric must respond. If not set, the default metric will be set to 80% average CPU utilization.

    If the field is not present, fails with com.coralogix.zio.k8s.client.UndefinedField.

  12. def getMinReplicas: IO[K8sFailure, Int]

    minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down.

    minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down. It defaults to 1 pod. minReplicas is allowed to be 0 if the alpha feature gate HPAScaleToZero is enabled and at least one Object or External metric is configured. Scaling is active as long as at least one metric value is available.

    If the field is not present, fails with com.coralogix.zio.k8s.client.UndefinedField.

  13. def getScaleTargetRef: IO[K8sFailure, CrossVersionObjectReference]

    Gets scaleTargetRef.

    Gets scaleTargetRef.

    This effect always succeeds, it is safe to use the field scaleTargetRef directly.

  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  15. val maxReplicas: Int
  16. val metrics: Optional[Vector[MetricSpec]]
  17. val minReplicas: Optional[Int]
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  19. final def notify(): Unit
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  20. final def notifyAll(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  21. val scaleTargetRef: CrossVersionObjectReference
  22. final def synchronized[T0](arg0: ⇒ T0): T0
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  23. final def wait(arg0: Long, arg1: Int): Unit
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  24. final def wait(arg0: Long): Unit
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  25. final def wait(): Unit
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    @throws( ... )

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  1. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
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