com.google.cloud.compute.v1

Interface AutoscalingPolicyCpuUtilizationOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

AutoscalingPolicyCpuUtilization, AutoscalingPolicyCpuUtilization.Builder

public interface AutoscalingPolicyCpuUtilizationOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
String	getPredictiveMethod() Indicates whether predictive autoscaling based on CPU metric is enabled.
com.google.protobuf.ByteString	getPredictiveMethodBytes() Indicates whether predictive autoscaling based on CPU metric is enabled.
double	getUtilizationTarget() The target CPU utilization that the autoscaler maintains.
boolean	hasPredictiveMethod() Indicates whether predictive autoscaling based on CPU metric is enabled.
boolean	hasUtilizationTarget() The target CPU utilization that the autoscaler maintains.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasPredictiveMethod

boolean hasPredictiveMethod()

 Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.
 Check the PredictiveMethod enum for the list of possible values.
 

optional string predictive_method = 390220737;

Returns:

Whether the predictiveMethod field is set.

getPredictiveMethod

String getPredictiveMethod()

 Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.
 Check the PredictiveMethod enum for the list of possible values.
 

optional string predictive_method = 390220737;

Returns:

The predictiveMethod.

getPredictiveMethodBytes

com.google.protobuf.ByteString getPredictiveMethodBytes()

 Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are: * NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics. * OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.
 Check the PredictiveMethod enum for the list of possible values.
 

optional string predictive_method = 390220737;

Returns:

The bytes for predictiveMethod.

hasUtilizationTarget

boolean hasUtilizationTarget()

 The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6. If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization. If the average CPU is above the target utilization, the autoscaler scales out until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.
 

optional double utilization_target = 215905870;

Returns:

Whether the utilizationTarget field is set.

getUtilizationTarget

double getUtilizationTarget()

 The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6. If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization. If the average CPU is above the target utilization, the autoscaler scales out until it reaches the maximum number of instances you specified or until the average utilization reaches the target utilization.
 

optional double utilization_target = 215905870;

Returns:

The utilizationTarget.