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AutoscalingPolicyScaleInControl (Compute Engine API v1-rev20250320-2.0.0)











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com.google.api.services.compute.model
Class AutoscalingPolicyScaleInControl



java.lang.Object


java.util.AbstractMap<String,Object>


com.google.api.client.util.GenericData


com.google.api.client.json.GenericJson


com.google.api.services.compute.model.AutoscalingPolicyScaleInControl













All Implemented Interfaces:
Cloneable, Map<String,Object>




public final class AutoscalingPolicyScaleInControl
extends com.google.api.client.json.GenericJson
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.

  This is the Java data model class that specifies how to parse/serialize into the JSON that is
 transmitted over HTTP when working with the Compute Engine API. For a detailed explanation see:
 https://developers.google.com/api-client-library/java/google-http-java-client/json
 

Author:
Google, Inc.












Nested Class Summary




Nested classes/interfaces inherited from class com.google.api.client.util.GenericData
com.google.api.client.util.GenericData.Flags





Nested classes/interfaces inherited from class java.util.AbstractMap
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>





Nested classes/interfaces inherited from interface java.util.Map
Map.Entry<K,V>








Constructor Summary

Constructors 

Constructor and Description


AutoscalingPolicyScaleInControl() 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


AutoscalingPolicyScaleInControl
clone() 


FixedOrPercent
getMaxScaledInReplicas()
Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during
 the window autoscaler looks at when computing recommendations.



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



AutoscalingPolicyScaleInControl
set(String fieldName,
   Object value) 


AutoscalingPolicyScaleInControl
setMaxScaledInReplicas(FixedOrPercent maxScaledInReplicas)
Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during
 the window autoscaler looks at when computing recommendations.



AutoscalingPolicyScaleInControl
setTimeWindowSec(Integer timeWindowSec)
How far back autoscaling looks when computing recommendations to include directives regarding
 slower scale in, as described above.







Methods inherited from class com.google.api.client.json.GenericJson
getFactory, setFactory, toPrettyString, toString





Methods inherited from class com.google.api.client.util.GenericData
entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys





Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, isEmpty, keySet, size, values





Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait





Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll














Constructor Detail





AutoscalingPolicyScaleInControl
public AutoscalingPolicyScaleInControl()









Method Detail





getMaxScaledInReplicas
public FixedOrPercent getMaxScaledInReplicas()
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.

Returns:
value or null for none








setMaxScaledInReplicas
public AutoscalingPolicyScaleInControl setMaxScaledInReplicas(FixedOrPercent 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.

Parameters:
maxScaledInReplicas - maxScaledInReplicas or null for none








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

Returns:
value or null for none








setTimeWindowSec
public AutoscalingPolicyScaleInControl setTimeWindowSec(Integer timeWindowSec)
How far back autoscaling looks when computing recommendations to include directives regarding
 slower scale in, as described above.

Parameters:
timeWindowSec - timeWindowSec or null for none








set
public AutoscalingPolicyScaleInControl set(String fieldName,
                                           Object value)

Overrides:
set in class com.google.api.client.json.GenericJson








clone
public AutoscalingPolicyScaleInControl clone()

Overrides:
clone in class com.google.api.client.json.GenericJson














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Copyright © 2011–2025 Google. All rights reserved.

Modifier and Type	Method and Description
`AutoscalingPolicyScaleInControl`	`clone()`
`FixedOrPercent`	`getMaxScaledInReplicas()` Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations.
`Integer`	`getTimeWindowSec()` How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.
`AutoscalingPolicyScaleInControl`	`set(String fieldName, Object value)`
`AutoscalingPolicyScaleInControl`	`setMaxScaledInReplicas(FixedOrPercent maxScaledInReplicas)` Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations.
`AutoscalingPolicyScaleInControl`	`setTimeWindowSec(Integer timeWindowSec)` How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.