public sealed class AutoscalingPolicyScaleInControl : IMessage<AutoscalingPolicyScaleInControl>, IEquatable<AutoscalingPolicyScaleInControl>, IDeepCloneable<AutoscalingPolicyScaleInControl>, IBufferMessage, IMessage
Reference documentation and code samples for the Compute Engine v1 API 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.
Implements
IMessageAutoscalingPolicyScaleInControl, IEquatableAutoscalingPolicyScaleInControl, IDeepCloneableAutoscalingPolicyScaleInControl, IBufferMessage, IMessageNamespace
Google.Cloud.Compute.V1Assembly
Google.Cloud.Compute.V1.dll
Constructors
AutoscalingPolicyScaleInControl()
public AutoscalingPolicyScaleInControl()
AutoscalingPolicyScaleInControl(AutoscalingPolicyScaleInControl)
public AutoscalingPolicyScaleInControl(AutoscalingPolicyScaleInControl other)
Parameter | |
---|---|
Name | Description |
other |
AutoscalingPolicyScaleInControl |
Properties
HasTimeWindowSec
public bool HasTimeWindowSec { get; }
Gets whether the "time_window_sec" field is set
Property Value | |
---|---|
Type | Description |
bool |
MaxScaledInReplicas
public FixedOrPercent MaxScaledInReplicas { get; set; }
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.
Property Value | |
---|---|
Type | Description |
FixedOrPercent |
TimeWindowSec
public int TimeWindowSec { get; set; }
How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.
Property Value | |
---|---|
Type | Description |
int |