Interface AutoscalingPolicyCpuUtilizationOrBuilder

    • 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.MessageLiteOrBuilder

        isInitialized
      • Methods inherited from interface com.google.protobuf.MessageOrBuilder

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