com.google.api.services.compute.model

Class AutoscalingPolicyScaleDownControl

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.AutoscalingPolicyScaleDownControl

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class AutoscalingPolicyScaleDownControl
extends GenericJson

Configuration that allows for slower scale down so that even if Autoscaler recommends an abrupt scale down 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

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
AutoscalingPolicyScaleDownControl()

Method Summary

Modifier and Type	Method and Description
AutoscalingPolicyScaleDownControl	clone()
FixedOrPercent	getMaxScaledDownReplicas() 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 long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.
AutoscalingPolicyScaleDownControl	set(String fieldName, Object value)
AutoscalingPolicyScaleDownControl	setMaxScaledDownReplicas(FixedOrPercent maxScaledDownReplicas) Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations.
AutoscalingPolicyScaleDownControl	setTimeWindowSec(Integer timeWindowSec) How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, 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

AutoscalingPolicyScaleDownControl

public AutoscalingPolicyScaleDownControl()

Method Detail

getMaxScaledDownReplicas

public FixedOrPercent getMaxScaledDownReplicas()

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

setMaxScaledDownReplicas

public AutoscalingPolicyScaleDownControl setMaxScaledDownReplicas(FixedOrPercent maxScaledDownReplicas)

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:

maxScaledDownReplicas - maxScaledDownReplicas or null for none

getTimeWindowSec

public Integer getTimeWindowSec()

How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.

Returns:

value or null for none

setTimeWindowSec

public AutoscalingPolicyScaleDownControl setTimeWindowSec(Integer timeWindowSec)

How long back autoscaling should look when computing recommendations to include directives regarding slower scale down, as described above.

Parameters:

timeWindowSec - timeWindowSec or null for none

set

public AutoscalingPolicyScaleDownControl set(String fieldName,
                                             Object value)

Overrides:

set in class GenericJson

clone

public AutoscalingPolicyScaleDownControl clone()

Overrides:

clone in class GenericJson