public static final class AutoscalingPolicyCpuUtilization.Builder extends GeneratedMessageV3.Builder<AutoscalingPolicyCpuUtilization.Builder> implements AutoscalingPolicyCpuUtilizationOrBuilder
CPU utilization policy.
Protobuf type google.cloud.compute.v1.AutoscalingPolicyCpuUtilization
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public AutoscalingPolicyCpuUtilization.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
build()
public AutoscalingPolicyCpuUtilization build()
Returns
buildPartial()
public AutoscalingPolicyCpuUtilization buildPartial()
Returns
clear()
public AutoscalingPolicyCpuUtilization.Builder clear()
Returns
Overrides
clearField(Descriptors.FieldDescriptor field)
public AutoscalingPolicyCpuUtilization.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Returns
Overrides
clearOneof(Descriptors.OneofDescriptor oneof)
public AutoscalingPolicyCpuUtilization.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Returns
Overrides
clearPredictiveMethod()
public AutoscalingPolicyCpuUtilization.Builder clearPredictiveMethod()
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;
clearUtilizationTarget()
public AutoscalingPolicyCpuUtilization.Builder clearUtilizationTarget()
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;
clone()
public AutoscalingPolicyCpuUtilization.Builder clone()
Returns
Overrides
getDefaultInstanceForType()
public AutoscalingPolicyCpuUtilization getDefaultInstanceForType()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns
Overrides
getPredictiveMethod()
public 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;
| Type | Description |
| String | The predictiveMethod.
|
getPredictiveMethodBytes()
public 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;
| Type | Description |
| ByteString | The bytes for predictiveMethod.
|
getUtilizationTarget()
public 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;
| Type | Description |
| double | The utilizationTarget.
|
hasPredictiveMethod()
public 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;
| Type | Description |
| boolean | Whether the predictiveMethod field is set.
|
hasUtilizationTarget()
public 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;
| Type | Description |
| boolean | Whether the utilizationTarget field is set.
|
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
mergeFrom(AutoscalingPolicyCpuUtilization other)
public AutoscalingPolicyCpuUtilization.Builder mergeFrom(AutoscalingPolicyCpuUtilization other)
Parameter
Returns
public AutoscalingPolicyCpuUtilization.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Overrides
Exceptions
mergeFrom(Message other)
public AutoscalingPolicyCpuUtilization.Builder mergeFrom(Message other)
Parameter
Returns
Overrides
mergeUnknownFields(UnknownFieldSet unknownFields)
public final AutoscalingPolicyCpuUtilization.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
setField(Descriptors.FieldDescriptor field, Object value)
public AutoscalingPolicyCpuUtilization.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
setPredictiveMethod(String value)
public AutoscalingPolicyCpuUtilization.Builder setPredictiveMethod(String value)
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;
| Name | Description |
| value | String
The predictiveMethod to set.
|
Returns
setPredictiveMethodBytes(ByteString value)
public AutoscalingPolicyCpuUtilization.Builder setPredictiveMethodBytes(ByteString value)
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;
| Name | Description |
| value | ByteString
The bytes for predictiveMethod to set.
|
Returns
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public AutoscalingPolicyCpuUtilization.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
setUnknownFields(UnknownFieldSet unknownFields)
public final AutoscalingPolicyCpuUtilization.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
setUtilizationTarget(double value)
public AutoscalingPolicyCpuUtilization.Builder setUtilizationTarget(double value)
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;
| Name | Description |
| value | double
The utilizationTarget to set.
|
Returns
