com.google.api.services.compute.model

Class AutoscalingPolicy

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.AutoscalingPolicy

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class AutoscalingPolicy
extends GenericJson

Cloud Autoscaler policy.

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
AutoscalingPolicy()

Method Summary

Modifier and Type	Method and Description
AutoscalingPolicy	clone()
Integer	getCoolDownPeriodSec() The number of seconds that the autoscaler should wait before it starts collecting information from a new instance.
AutoscalingPolicyCpuUtilization	getCpuUtilization() Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
List<AutoscalingPolicyCustomMetricUtilization>	getCustomMetricUtilizations() Configuration parameters of autoscaling based on a custom metric.
AutoscalingPolicyLoadBalancingUtilization	getLoadBalancingUtilization() Configuration parameters of autoscaling based on load balancer.
Integer	getMaxNumReplicas() The maximum number of instances that the autoscaler can scale up to.
Integer	getMinNumReplicas() The minimum number of replicas that the autoscaler can scale down to.
String	getMode() Defines operating mode for this policy.
AutoscalingPolicyScaleDownControl	getScaleDownControl()
AutoscalingPolicyScaleInControl	getScaleInControl()
Map<String,AutoscalingPolicyScalingSchedule>	getScalingSchedules() Scaling schedules defined for an autoscaler.
AutoscalingPolicy	set(String fieldName, Object value)
AutoscalingPolicy	setCoolDownPeriodSec(Integer coolDownPeriodSec) The number of seconds that the autoscaler should wait before it starts collecting information from a new instance.
AutoscalingPolicy	setCpuUtilization(AutoscalingPolicyCpuUtilization cpuUtilization) Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
AutoscalingPolicy	setCustomMetricUtilizations(List<AutoscalingPolicyCustomMetricUtilization> customMetricUtilizations) Configuration parameters of autoscaling based on a custom metric.
AutoscalingPolicy	setLoadBalancingUtilization(AutoscalingPolicyLoadBalancingUtilization loadBalancingUtilization) Configuration parameters of autoscaling based on load balancer.
AutoscalingPolicy	setMaxNumReplicas(Integer maxNumReplicas) The maximum number of instances that the autoscaler can scale up to.
AutoscalingPolicy	setMinNumReplicas(Integer minNumReplicas) The minimum number of replicas that the autoscaler can scale down to.
AutoscalingPolicy	setMode(String mode) Defines operating mode for this policy.
AutoscalingPolicy	setScaleDownControl(AutoscalingPolicyScaleDownControl scaleDownControl)
AutoscalingPolicy	setScaleInControl(AutoscalingPolicyScaleInControl scaleInControl)
AutoscalingPolicy	setScalingSchedules(Map<String,AutoscalingPolicyScalingSchedule> scalingSchedules) Scaling schedules defined for an autoscaler.

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

AutoscalingPolicy

public AutoscalingPolicy()

Method Detail

getCoolDownPeriodSec

public Integer getCoolDownPeriodSec()

The number of seconds that the autoscaler should wait before it starts collecting information from a new instance. This prevents the autoscaler from collecting information when the instance is initializing, during which the collected usage would not be reliable. The default time autoscaler waits is 60 seconds. Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.

Returns:

value or null for none

setCoolDownPeriodSec

public AutoscalingPolicy setCoolDownPeriodSec(Integer coolDownPeriodSec)

The number of seconds that the autoscaler should wait before it starts collecting information from a new instance. This prevents the autoscaler from collecting information when the instance is initializing, during which the collected usage would not be reliable. The default time autoscaler waits is 60 seconds. Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.

Parameters:

coolDownPeriodSec - coolDownPeriodSec or null for none

getCpuUtilization

public AutoscalingPolicyCpuUtilization getCpuUtilization()

Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.

Returns:

value or null for none

setCpuUtilization

public AutoscalingPolicy setCpuUtilization(AutoscalingPolicyCpuUtilization cpuUtilization)

Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.

Parameters:

cpuUtilization - cpuUtilization or null for none

getCustomMetricUtilizations

public List<AutoscalingPolicyCustomMetricUtilization> getCustomMetricUtilizations()

Configuration parameters of autoscaling based on a custom metric.

Returns:

value or null for none

setCustomMetricUtilizations

public AutoscalingPolicy setCustomMetricUtilizations(List<AutoscalingPolicyCustomMetricUtilization> customMetricUtilizations)

Configuration parameters of autoscaling based on a custom metric.

Parameters:

customMetricUtilizations - customMetricUtilizations or null for none

getLoadBalancingUtilization

public AutoscalingPolicyLoadBalancingUtilization getLoadBalancingUtilization()

Configuration parameters of autoscaling based on load balancer.

Returns:

value or null for none

setLoadBalancingUtilization

public AutoscalingPolicy setLoadBalancingUtilization(AutoscalingPolicyLoadBalancingUtilization loadBalancingUtilization)

Configuration parameters of autoscaling based on load balancer.

Parameters:

loadBalancingUtilization - loadBalancingUtilization or null for none

getMaxNumReplicas

public Integer getMaxNumReplicas()

The maximum number of instances that the autoscaler can scale up to. This is required when creating or updating an autoscaler. The maximum number of replicas should not be lower than minimal number of replicas.

Returns:

value or null for none

setMaxNumReplicas

public AutoscalingPolicy setMaxNumReplicas(Integer maxNumReplicas)

The maximum number of instances that the autoscaler can scale up to. This is required when creating or updating an autoscaler. The maximum number of replicas should not be lower than minimal number of replicas.

Parameters:

maxNumReplicas - maxNumReplicas or null for none

getMinNumReplicas

public Integer getMinNumReplicas()

The minimum number of replicas that the autoscaler can scale down to. This cannot be less than 0. If not provided, autoscaler will choose a default value depending on maximum number of instances allowed.

Returns:

value or null for none

setMinNumReplicas

public AutoscalingPolicy setMinNumReplicas(Integer minNumReplicas)

The minimum number of replicas that the autoscaler can scale down to. This cannot be less than 0. If not provided, autoscaler will choose a default value depending on maximum number of instances allowed.

Parameters:

minNumReplicas - minNumReplicas or null for none

getMode

public String getMode()

Defines operating mode for this policy.

Returns:

value or null for none

setMode

public AutoscalingPolicy setMode(String mode)

Defines operating mode for this policy.

Parameters:

mode - mode or null for none

getScaleDownControl

public AutoscalingPolicyScaleDownControl getScaleDownControl()

Returns:

value or null for none

setScaleDownControl

public AutoscalingPolicy setScaleDownControl(AutoscalingPolicyScaleDownControl scaleDownControl)

Parameters:

scaleDownControl - scaleDownControl or null for none

getScaleInControl

public AutoscalingPolicyScaleInControl getScaleInControl()

Returns:

value or null for none

setScaleInControl

public AutoscalingPolicy setScaleInControl(AutoscalingPolicyScaleInControl scaleInControl)

Parameters:

scaleInControl - scaleInControl or null for none

getScalingSchedules

public Map<String,AutoscalingPolicyScalingSchedule> getScalingSchedules()

Scaling schedules defined for an autoscaler. Multiple schedules can be set on an autoscaler and they can overlap. During overlapping periods the greatest min_required_replicas of all scaling schedules will be applied. Up to 128 scaling schedules are allowed.

Returns:

value or null for none

setScalingSchedules

public AutoscalingPolicy setScalingSchedules(Map<String,AutoscalingPolicyScalingSchedule> scalingSchedules)

Scaling schedules defined for an autoscaler. Multiple schedules can be set on an autoscaler and they can overlap. During overlapping periods the greatest min_required_replicas of all scaling schedules will be applied. Up to 128 scaling schedules are allowed.

Parameters:

scalingSchedules - scalingSchedules or null for none

set

public AutoscalingPolicy set(String fieldName,
                             Object value)

Overrides:

set in class GenericJson

clone

public AutoscalingPolicy clone()

Overrides:

clone in class GenericJson