Package com.google.cloud.compute.v1
Interface AutoscalingPolicyCpuUtilizationOrBuilder
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- 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
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method 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
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Method Detail
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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.
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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.
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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.
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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.
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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.
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