/*
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License
 * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */
/*
 * This code was generated by https://github.com/googleapis/google-api-java-client-services/
 * Modify at your own risk.
 */

package com.google.api.services.aiplatform.v1beta1.model;

/**
 * Online serving scaling configuration. If min_node_count and max_node_count are set to the same
 * value, the cluster will be configured with the fixed number of node (no auto-scaling).
 *
 * <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
 * transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
 * <a href="https://developers.google.com/api-client-library/java/google-http-java-client/json">https://developers.google.com/api-client-library/java/google-http-java-client/json</a>
 * </p>
 *
 * @author Google, Inc.
 */
@SuppressWarnings("javadoc")
public final class GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling extends com.google.api.client.json.GenericJson {

  /**
   * Optional. The cpu utilization that the Autoscaler should be trying to achieve. This number is
   * on a scale from 0 (no utilization) to 100 (total utilization), and is limited between 10 and
   * 80. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately
   * adds nodes to the cluster. When CPU utilization is substantially lower than the target,
   * Bigtable removes nodes. If not set or set to 0, default to 50.
   * The value may be {@code null}.
   */
  @com.google.api.client.util.Key
  private java.lang.Integer cpuUtilizationTarget;

  /**
   * The maximum number of nodes to scale up to. Must be greater than min_node_count, and less than
   * or equal to 10 times of 'min_node_count'.
   * The value may be {@code null}.
   */
  @com.google.api.client.util.Key
  private java.lang.Integer maxNodeCount;

  /**
   * Required. The minimum number of nodes to scale down to. Must be greater than or equal to 1.
   * The value may be {@code null}.
   */
  @com.google.api.client.util.Key
  private java.lang.Integer minNodeCount;

  /**
   * Optional. The cpu utilization that the Autoscaler should be trying to achieve. This number is
   * on a scale from 0 (no utilization) to 100 (total utilization), and is limited between 10 and
   * 80. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately
   * adds nodes to the cluster. When CPU utilization is substantially lower than the target,
   * Bigtable removes nodes. If not set or set to 0, default to 50.
   * @return value or {@code null} for none
   */
  public java.lang.Integer getCpuUtilizationTarget() {
    return cpuUtilizationTarget;
  }

  /**
   * Optional. The cpu utilization that the Autoscaler should be trying to achieve. This number is
   * on a scale from 0 (no utilization) to 100 (total utilization), and is limited between 10 and
   * 80. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately
   * adds nodes to the cluster. When CPU utilization is substantially lower than the target,
   * Bigtable removes nodes. If not set or set to 0, default to 50.
   * @param cpuUtilizationTarget cpuUtilizationTarget or {@code null} for none
   */
  public GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling setCpuUtilizationTarget(java.lang.Integer cpuUtilizationTarget) {
    this.cpuUtilizationTarget = cpuUtilizationTarget;
    return this;
  }

  /**
   * The maximum number of nodes to scale up to. Must be greater than min_node_count, and less than
   * or equal to 10 times of 'min_node_count'.
   * @return value or {@code null} for none
   */
  public java.lang.Integer getMaxNodeCount() {
    return maxNodeCount;
  }

  /**
   * The maximum number of nodes to scale up to. Must be greater than min_node_count, and less than
   * or equal to 10 times of 'min_node_count'.
   * @param maxNodeCount maxNodeCount or {@code null} for none
   */
  public GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling setMaxNodeCount(java.lang.Integer maxNodeCount) {
    this.maxNodeCount = maxNodeCount;
    return this;
  }

  /**
   * Required. The minimum number of nodes to scale down to. Must be greater than or equal to 1.
   * @return value or {@code null} for none
   */
  public java.lang.Integer getMinNodeCount() {
    return minNodeCount;
  }

  /**
   * Required. The minimum number of nodes to scale down to. Must be greater than or equal to 1.
   * @param minNodeCount minNodeCount or {@code null} for none
   */
  public GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling setMinNodeCount(java.lang.Integer minNodeCount) {
    this.minNodeCount = minNodeCount;
    return this;
  }

  @Override
  public GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling set(String fieldName, Object value) {
    return (GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling) super.set(fieldName, value);
  }

  @Override
  public GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling clone() {
    return (GoogleCloudAiplatformV1beta1FeaturestoreOnlineServingConfigScaling) super.clone();
  }

}
