HorizontalPodAutoscalerSpec

case class HorizontalPodAutoscalerSpec(maxReplicas: Int, minReplicas: Optional[Int], scaleTargetRef: CrossVersionObjectReference, targetCPUUtilizationPercentage: Optional[Int])

specification of a horizontal pod autoscaler.

Value Params
maxReplicas

upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.

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.

targetCPUUtilizationPercentage

target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified the default autoscaling policy will be used.

Companion
object
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any

Value members

Concrete methods

def getMaxReplicas: IO[K8sFailure, Int]

upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.

upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.

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

def getMinReplicas: IO[K8sFailure, Int]

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.

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.

Gets scaleTargetRef.

Gets scaleTargetRef.

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

target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified the default autoscaling policy will be used.

target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified the default autoscaling policy will be used.

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

Inherited methods

def productElementNames: Iterator[String]
Inherited from
Product
def productIterator: Iterator[Any]
Inherited from
Product