pulumi-google-native-kotlin/com.pulumi.googlenative.compute.alpha.kotlin.inputs/AutoscalingPolicyScaleDownControlArgs

AutoscalingPolicyScaleDownControlArgs

data class AutoscalingPolicyScaleDownControlArgs(val maxScaledDownReplicas: Output<FixedOrPercentArgs>? = null, val timeWindowSec: Output<Int>? = null) : ConvertibleToJava<AutoscalingPolicyScaleDownControlArgs>

Configuration that allows for slower scale in so that even if Autoscaler recommends an abrupt scale in of a MIG, it will be throttled as specified by the parameters below.

Constructors

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fun AutoscalingPolicyScaleDownControlArgs(maxScaledDownReplicas: Output<FixedOrPercentArgs>? = null, timeWindowSec: Output<Int>? = null)

Functions

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open override fun toJava(): AutoscalingPolicyScaleDownControlArgs

Properties

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val maxScaledDownReplicas: Output<FixedOrPercentArgs>? = null

Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations. Possibly all these VMs can be deleted at once so user service needs to be prepared to lose that many VMs in one step.

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val timeWindowSec: Output<Int>? = null

How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.