pulumi-kubernetes-kotlin/com.pulumi.kubernetes.autoscaling.v1.kotlin.inputs/HorizontalPodAutoscalerSpecPatchArgs

HorizontalPodAutoscalerSpecPatchArgs

data class HorizontalPodAutoscalerSpecPatchArgs(val maxReplicas: Output<Int>? = null, val minReplicas: Output<Int>? = null, val scaleTargetRef: Output<CrossVersionObjectReferencePatchArgs>? = null, val targetCPUUtilizationPercentage: Output<Int>? = null) : ConvertibleToJava<HorizontalPodAutoscalerSpecPatchArgs>

specification of a horizontal pod autoscaler.

Constructors

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fun HorizontalPodAutoscalerSpecPatchArgs(maxReplicas: Output<Int>? = null, minReplicas: Output<Int>? = null, scaleTargetRef: Output<CrossVersionObjectReferencePatchArgs>? = null, targetCPUUtilizationPercentage: Output<Int>? = null)

Functions

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open override fun toJava(): HorizontalPodAutoscalerSpecPatchArgs

Properties

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val maxReplicas: Output<Int>? = null

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

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val minReplicas: Output<Int>? = null

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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val scaleTargetRef: Output<CrossVersionObjectReferencePatchArgs>? = null

reference to scaled resource; horizontal pod autoscaler will learn the current resource consumption and will set the desired number of pods by using its Scale subresource.

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val targetCPUUtilizationPercentage: Output<Int>? = null

targetCPUUtilizationPercentage is the 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.