TargetUtilizationScaleSettings interface

Package:

@azure/arm-machinelearning

model interface TargetUtilizationScaleSettings

Extends

OnlineScaleSettings

Properties

maxInstances	The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
minInstances	The minimum number of instances to always be present.
pollingInterval	The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
scaleType	[Required] Type of deployment scaling algorithm
targetUtilizationPercentage	Target CPU usage for the autoscaler.

Property Details

maxInstances

The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.

maxInstances?: number

Property Value

number

minInstances

The minimum number of instances to always be present.

minInstances?: number

Property Value

number

pollingInterval

The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.

pollingInterval?: string

Property Value

string

scaleType

[Required] Type of deployment scaling algorithm

scaleType: "TargetUtilization"

Property Value

"TargetUtilization"

targetUtilizationPercentage

Target CPU usage for the autoscaler.

targetUtilizationPercentage?: number

Property Value

number