/*
 * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
 * the License. A copy of the License is located at
 * 
 * http://aws.amazon.com/apache2.0
 * 
 * or in the "license" file accompanying this file. This file 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.
 */

/**
 * <p>
 * You can use Amazon CloudWatch Evidently to safely validate new features by serving them to a specified percentage of
 * your users while you roll out the feature. You can monitor the performance of the new feature to help you decide when
 * to ramp up traffic to your users. This helps you reduce risk and identify unintended consequences before you fully
 * launch the feature.
 * </p>
 * <p>
 * You can also conduct A/B experiments to make feature design decisions based on evidence and data. An experiment can
 * test as many as five variations at once. Evidently collects experiment data and analyzes it using statistical
 * methods. It also provides clear recommendations about which variations perform better. You can test both user-facing
 * features and backend features.
 * </p>
 */
package com.amazonaws.services.cloudwatchevidently;

