com.pulumi.googlenative.compute.beta.outputs.AutoscalingPolicyCpuUtilizationResponse Maven / Gradle / Ivy

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// *** WARNING: this file was generated by pulumi-java-gen. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***

package com.pulumi.googlenative.compute.beta.outputs;

import com.pulumi.core.annotations.CustomType;
import java.lang.Double;
import java.lang.String;
import java.util.Objects;

@CustomType
public final class AutoscalingPolicyCpuUtilizationResponse {
    /**
     * @return 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.
     * 
     */
    private String predictiveMethod;
    /**
     * @return 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.
     * 
     */
    private Double utilizationTarget;

    private AutoscalingPolicyCpuUtilizationResponse() {}
    /**
     * @return 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.
     * 
     */
    public String predictiveMethod() {
        return this.predictiveMethod;
    }
    /**
     * @return 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.
     * 
     */
    public Double utilizationTarget() {
        return this.utilizationTarget;
    }

    public static Builder builder() {
        return new Builder();
    }

    public static Builder builder(AutoscalingPolicyCpuUtilizationResponse defaults) {
        return new Builder(defaults);
    }
    @CustomType.Builder
    public static final class Builder {
        private String predictiveMethod;
        private Double utilizationTarget;
        public Builder() {}
        public Builder(AutoscalingPolicyCpuUtilizationResponse defaults) {
    	      Objects.requireNonNull(defaults);
    	      this.predictiveMethod = defaults.predictiveMethod;
    	      this.utilizationTarget = defaults.utilizationTarget;
        }

        @CustomType.Setter
        public Builder predictiveMethod(String predictiveMethod) {
            this.predictiveMethod = Objects.requireNonNull(predictiveMethod);
            return this;
        }
        @CustomType.Setter
        public Builder utilizationTarget(Double utilizationTarget) {
            this.utilizationTarget = Objects.requireNonNull(utilizationTarget);
            return this;
        }
        public AutoscalingPolicyCpuUtilizationResponse build() {
            final var o = new AutoscalingPolicyCpuUtilizationResponse();
            o.predictiveMethod = predictiveMethod;
            o.utilizationTarget = utilizationTarget;
            return o;
        }
    }
}