Class AutoscalingPolicyScaleInControl

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.

Inheritance

object

AutoscalingPolicyScaleInControl

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Compute.v1.Data

Assembly: Google.Apis.Compute.v1.dll

Syntax

public class AutoscalingPolicyScaleInControl : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

MaxScaledInReplicas

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.

Declaration

[JsonProperty("maxScaledInReplicas")]
public virtual FixedOrPercent MaxScaledInReplicas { get; set; }

Property Value

Type	Description
FixedOrPercent

TimeWindowSec

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

Declaration

[JsonProperty("timeWindowSec")]
public virtual int? TimeWindowSec { get; set; }

Property Value

Type	Description
int?

Implements

IDirectResponseSchema