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

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