Hay más ejemplos de AWS SDK disponibles en el GitHub repositorio de [ejemplos de AWS Doc SDK](https://github.com/awsdocs/aws-doc-sdk-examples).

Las traducciones son generadas a través de traducción automática. En caso de conflicto entre la traducción y la version original de inglés, prevalecerá la version en inglés.

# Ejemplos básicos de uso CloudWatch AWS SDKs
<a name="cloudwatch_code_examples_basics"></a>

Los siguientes ejemplos de código muestran cómo utilizar los conceptos básicos de Amazon CloudWatch con AWS SDKs. 

**Contents**
+ [Hola CloudWatch](cloudwatch_example_cloudwatch_Hello_section.md)
+ [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md)
+ [Acciones](cloudwatch_code_examples_actions.md)
  + [`DeleteAlarms`](cloudwatch_example_cloudwatch_DeleteAlarms_section.md)
  + [`DeleteAnomalyDetector`](cloudwatch_example_cloudwatch_DeleteAnomalyDetector_section.md)
  + [`DeleteDashboards`](cloudwatch_example_cloudwatch_DeleteDashboards_section.md)
  + [`DescribeAlarmHistory`](cloudwatch_example_cloudwatch_DescribeAlarmHistory_section.md)
  + [`DescribeAlarms`](cloudwatch_example_cloudwatch_DescribeAlarms_section.md)
  + [`DescribeAlarmsForMetric`](cloudwatch_example_cloudwatch_DescribeAlarmsForMetric_section.md)
  + [`DescribeAnomalyDetectors`](cloudwatch_example_cloudwatch_DescribeAnomalyDetectors_section.md)
  + [`DisableAlarmActions`](cloudwatch_example_cloudwatch_DisableAlarmActions_section.md)
  + [`EnableAlarmActions`](cloudwatch_example_cloudwatch_EnableAlarmActions_section.md)
  + [`GetDashboard`](cloudwatch_example_cloudwatch_GetDashboard_section.md)
  + [`GetMetricData`](cloudwatch_example_cloudwatch_GetMetricData_section.md)
  + [`GetMetricStatistics`](cloudwatch_example_cloudwatch_GetMetricStatistics_section.md)
  + [`GetMetricWidgetImage`](cloudwatch_example_cloudwatch_GetMetricWidgetImage_section.md)
  + [`ListDashboards`](cloudwatch_example_cloudwatch_ListDashboards_section.md)
  + [`ListMetrics`](cloudwatch_example_cloudwatch_ListMetrics_section.md)
  + [`PutAnomalyDetector`](cloudwatch_example_cloudwatch_PutAnomalyDetector_section.md)
  + [`PutDashboard`](cloudwatch_example_cloudwatch_PutDashboard_section.md)
  + [`PutMetricAlarm`](cloudwatch_example_cloudwatch_PutMetricAlarm_section.md)
  + [`PutMetricData`](cloudwatch_example_cloudwatch_PutMetricData_section.md)

# Hola CloudWatch
<a name="cloudwatch_example_cloudwatch_Hello_section"></a>

En los siguientes ejemplos de código se muestra cómo empezar a utilizar CloudWatch.

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
using Amazon.CloudWatch;
using Amazon.CloudWatch.Model;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;

namespace CloudWatchActions;

public static class HelloCloudWatch
{
    static async Task Main(string[] args)
    {
        // Use the AWS .NET Core Setup package to set up dependency injection for the Amazon CloudWatch service.
        // Use your AWS profile name, or leave it blank to use the default profile.
        using var host = Host.CreateDefaultBuilder(args)
            .ConfigureServices((_, services) =>
                services.AddAWSService<IAmazonCloudWatch>()
            ).Build();

        // Now the client is available for injection.
        var cloudWatchClient = host.Services.GetRequiredService<IAmazonCloudWatch>();

        // You can use await and any of the async methods to get a response.
        var metricNamespace = "AWS/Billing";
        var response = await cloudWatchClient.ListMetricsAsync(new ListMetricsRequest
        {
            Namespace = metricNamespace
        });
        Console.WriteLine($"Hello Amazon CloudWatch! Following are some metrics available in the {metricNamespace} namespace:");
        Console.WriteLine();
        if (response.Metrics != null)
        {
            foreach (var metric in response.Metrics.Take(5))
            {
                Console.WriteLine($"\tMetric: {metric.MetricName}");
                Console.WriteLine($"\tNamespace: {metric.Namespace}");
                Console.WriteLine(
                    $"\tDimensions: {string.Join(", ", metric.Dimensions.Select(m => $"{m.Name}:{m.Value}"))}");
                Console.WriteLine();
            }
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/ListMetrics)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.cloudwatch.CloudWatchClient;
import software.amazon.awssdk.services.cloudwatch.model.CloudWatchException;
import software.amazon.awssdk.services.cloudwatch.model.ListMetricsRequest;
import software.amazon.awssdk.services.cloudwatch.paginators.ListMetricsIterable;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class HelloService {
    public static void main(String[] args) {
        final String usage = """

                Usage:
                  <namespace>\s

                Where:
                  namespace - The namespace to filter against (for example, AWS/EC2).\s
                """;

        if (args.length != 1) {
            System.out.println(usage);
            System.exit(1);
        }

        String namespace = args[0];
        Region region = Region.US_EAST_1;
        CloudWatchClient cw = CloudWatchClient.builder()
                .region(region)
                .build();

        listMets(cw, namespace);
        cw.close();
    }

    public static void listMets(CloudWatchClient cw, String namespace) {
        try {
            ListMetricsRequest request = ListMetricsRequest.builder()
                    .namespace(namespace)
                    .build();

            ListMetricsIterable listRes = cw.listMetricsPaginator(request);
            listRes.stream()
                    .flatMap(r -> r.metrics().stream())
                    .forEach(metrics -> System.out.println(" Retrieved metric is: " + metrics.metricName()));

        } catch (CloudWatchException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/ListMetrics)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
/**
Before running this Kotlin code example, set up your development environment,
including your credentials.

For more information, see the following documentation topic:
https://docs.aws.amazon.com/sdk-for-kotlin/latest/developer-guide/setup.html
 */
suspend fun main(args: Array<String>) {
    val usage = """
        Usage:
           <namespace> 
        Where:
           namespace - The namespace to filter against (for example, AWS/EC2). 
    """

    if (args.size != 1) {
        println(usage)
        exitProcess(0)
    }

    val namespace = args[0]
    listAllMets(namespace)
}

suspend fun listAllMets(namespaceVal: String?) {
    val request =
        ListMetricsRequest {
            namespace = namespaceVal
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient
            .listMetricsPaginated(request)
            .transform { it.metrics?.forEach { obj -> emit(obj) } }
            .collect { obj ->
                println("Name is ${obj.metricName}")
                println("Namespace is ${obj.namespace}")
            }
    }
}
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------

# Conoce las operaciones principales para CloudWatch usar un SDK AWS
<a name="cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section"></a>

En el siguiente ejemplo de código, se muestra cómo:
+ Enumere los espacios de CloudWatch nombres y las métricas.
+ Obtener estadísticas para una métrica y para la facturación estimada.
+ Crear y actualizar un panel.
+ Crear y agregar datos a una métrica.
+ Crear y activar una alarma y, a continuación, consultar el historial de alarmas.
+ Crear un detector de anomalías.
+ Realice una imagen métrica y, luego, limpie los recursos.

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 
Ejecutar un escenario interactivo en un símbolo del sistema.  

```
public class CloudWatchScenario
{
    /*
    Before running this .NET code example, set up your development environment, including your credentials.

    To enable billing metrics and statistics for this example, make sure billing alerts are enabled for your account:
    https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/monitor_estimated_charges_with_cloudwatch.html#turning_on_billing_metrics

    This .NET example performs the following tasks:
        1. List and select a CloudWatch namespace.
        2. List and select a CloudWatch metric.
        3. Get statistics for a CloudWatch metric.
        4. Get estimated billing statistics for the last week.
        5. Create a new CloudWatch dashboard with two metrics.
        6. List current CloudWatch dashboards.
        7. Create a CloudWatch custom metric and add metric data.
        8. Add the custom metric to the dashboard.
        9. Create a CloudWatch alarm for the custom metric.
       10. Describe current CloudWatch alarms.
       11. Get recent data for the custom metric.
       12. Add data to the custom metric to trigger the alarm.
       13. Wait for an alarm state.
       14. Get history for the CloudWatch alarm.
       15. Add an anomaly detector.
       16. Describe current anomaly detectors.
       17. Get and display a metric image.
       18. Clean up resources.
    */

    private static ILogger logger = null!;
    private static CloudWatchWrapper _cloudWatchWrapper = null!;
    private static IConfiguration _configuration = null!;
    private static readonly List<string> _statTypes = new List<string> { "SampleCount", "Average", "Sum", "Minimum", "Maximum" };
    private static SingleMetricAnomalyDetector? anomalyDetector = null!;

    static async Task Main(string[] args)
    {
        // Set up dependency injection for the Amazon service.
        using var host = Host.CreateDefaultBuilder(args)
            .ConfigureLogging(logging =>
                logging.AddFilter("System", LogLevel.Debug)
                    .AddFilter<DebugLoggerProvider>("Microsoft", LogLevel.Information)
                    .AddFilter<ConsoleLoggerProvider>("Microsoft", LogLevel.Trace))
            .ConfigureServices((_, services) =>
            services.AddAWSService<IAmazonCloudWatch>()
            .AddTransient<CloudWatchWrapper>()
        )
        .Build();

        _configuration = new ConfigurationBuilder()
            .SetBasePath(Directory.GetCurrentDirectory())
            .AddJsonFile("settings.json") // Load settings from .json file.
            .AddJsonFile("settings.local.json",
                true) // Optionally, load local settings.
            .Build();

        logger = LoggerFactory.Create(builder => { builder.AddConsole(); })
            .CreateLogger<CloudWatchScenario>();

        _cloudWatchWrapper = host.Services.GetRequiredService<CloudWatchWrapper>();

        Console.WriteLine(new string('-', 80));
        Console.WriteLine("Welcome to the Amazon CloudWatch example scenario.");
        Console.WriteLine(new string('-', 80));

        try
        {
            var selectedNamespace = await SelectNamespace();
            var selectedMetric = await SelectMetric(selectedNamespace);
            await GetAndDisplayMetricStatistics(selectedNamespace, selectedMetric);
            await GetAndDisplayEstimatedBilling();
            await CreateDashboardWithMetrics();
            await ListDashboards();
            await CreateNewCustomMetric();
            await AddMetricToDashboard();
            await CreateMetricAlarm();
            await DescribeAlarms();
            await GetCustomMetricData();
            await AddMetricDataForAlarm();
            await CheckForMetricAlarm();
            await GetAlarmHistory();
            anomalyDetector = await AddAnomalyDetector();
            await DescribeAnomalyDetectors();
            await GetAndOpenMetricImage();
            await CleanupResources();
        }
        catch (Exception ex)
        {
            logger.LogError(ex, "There was a problem executing the scenario.");
            await CleanupResources();
        }

    }

    /// <summary>
    /// Select a namespace.
    /// </summary>
    /// <returns>The selected namespace.</returns>
    private static async Task<string> SelectNamespace()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"1. Select a CloudWatch Namespace from a list of Namespaces.");
        var metrics = await _cloudWatchWrapper.ListMetrics();
        // Get a distinct list of namespaces.
        var namespaces = metrics.Select(m => m.Namespace).Distinct().ToList();
        for (int i = 0; i < namespaces.Count; i++)
        {
            Console.WriteLine($"\t{i + 1}. {namespaces[i]}");
        }

        var namespaceChoiceNumber = 0;
        while (namespaceChoiceNumber < 1 || namespaceChoiceNumber > namespaces.Count)
        {
            Console.WriteLine(
                "Select a namespace by entering a number from the preceding list:");
            var choice = Console.ReadLine();
            Int32.TryParse(choice, out namespaceChoiceNumber);
        }

        var selectedNamespace = namespaces[namespaceChoiceNumber - 1];

        Console.WriteLine(new string('-', 80));

        return selectedNamespace;
    }

    /// <summary>
    /// Select a metric from a namespace.
    /// </summary>
    /// <param name="metricNamespace">The namespace for metrics.</param>
    /// <returns>The metric name.</returns>
    private static async Task<Metric> SelectMetric(string metricNamespace)
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"2. Select a CloudWatch metric from a namespace.");

        var namespaceMetrics = await _cloudWatchWrapper.ListMetrics(metricNamespace);

        for (int i = 0; i < namespaceMetrics.Count && i < 15; i++)
        {
            var dimensionsWithValues = namespaceMetrics[i].Dimensions
                .Where(d => !string.Equals("None", d.Value));
            Console.WriteLine($"\t{i + 1}. {namespaceMetrics[i].MetricName} " +
                              $"{string.Join(", :", dimensionsWithValues.Select(d => d.Value))}");
        }

        var metricChoiceNumber = 0;
        while (metricChoiceNumber < 1 || metricChoiceNumber > namespaceMetrics.Count)
        {
            Console.WriteLine(
                "Select a metric by entering a number from the preceding list:");
            var choice = Console.ReadLine();
            Int32.TryParse(choice, out metricChoiceNumber);
        }

        var selectedMetric = namespaceMetrics[metricChoiceNumber - 1];

        Console.WriteLine(new string('-', 80));

        return selectedMetric;
    }

    /// <summary>
    /// Get and display metric statistics for a specific metric.
    /// </summary>
    /// <param name="metricNamespace">The namespace for metrics.</param>
    /// <param name="metric">The CloudWatch metric.</param>
    /// <returns>Async task.</returns>
    private static async Task GetAndDisplayMetricStatistics(string metricNamespace, Metric metric)
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"3. Get CloudWatch metric statistics for the last day.");

        for (int i = 0; i < _statTypes.Count; i++)
        {
            Console.WriteLine($"\t{i + 1}. {_statTypes[i]}");
        }

        var statisticChoiceNumber = 0;
        while (statisticChoiceNumber < 1 || statisticChoiceNumber > _statTypes.Count)
        {
            Console.WriteLine(
                "Select a metric statistic by entering a number from the preceding list:");
            var choice = Console.ReadLine();
            Int32.TryParse(choice, out statisticChoiceNumber);
        }

        var selectedStatistic = _statTypes[statisticChoiceNumber - 1];
        var statisticsList = new List<string> { selectedStatistic };

        var metricStatistics = await _cloudWatchWrapper.GetMetricStatistics(metricNamespace, metric.MetricName, statisticsList, metric.Dimensions, 1, 60);

        if (!metricStatistics.Any())
        {
            Console.WriteLine($"No {selectedStatistic} statistics found for {metric} in namespace {metricNamespace}.");
        }

        metricStatistics = metricStatistics.OrderBy(s => s.Timestamp).ToList();
        for (int i = 0; i < metricStatistics.Count && i < 10; i++)
        {
            var metricStat = metricStatistics[i];
            var statValue = metricStat.GetType().GetProperty(selectedStatistic)!.GetValue(metricStat, null);
            Console.WriteLine($"\t{i + 1}. Timestamp {metricStatistics[i].Timestamp:G} {selectedStatistic}: {statValue}");
        }

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Get and display estimated billing statistics.
    /// </summary>
    /// <param name="metricNamespace">The namespace for metrics.</param>
    /// <param name="metric">The CloudWatch metric.</param>
    /// <returns>Async task.</returns>
    private static async Task GetAndDisplayEstimatedBilling()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"4. Get CloudWatch estimated billing for the last week.");

        var billingStatistics = await SetupBillingStatistics();

        for (int i = 0; i < billingStatistics.Count; i++)
        {
            Console.WriteLine($"\t{i + 1}. Timestamp {billingStatistics[i].Timestamp:G} : {billingStatistics[i].Maximum}");
        }

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Get billing statistics using a call to a wrapper class.
    /// </summary>
    /// <returns>A collection of billing statistics.</returns>
    private static async Task<List<Datapoint>> SetupBillingStatistics()
    {
        // Make a request for EstimatedCharges with a period of one day for the past seven days.
        var billingStatistics = await _cloudWatchWrapper.GetMetricStatistics(
            "AWS/Billing",
            "EstimatedCharges",
            new List<string>() { "Maximum" },
            new List<Dimension>() { new Dimension { Name = "Currency", Value = "USD" } },
            7,
            86400);

        billingStatistics = billingStatistics.OrderBy(n => n.Timestamp).ToList();

        return billingStatistics;
    }

    /// <summary>
    /// Create a dashboard with metrics.
    /// </summary>
    /// <param name="metricNamespace">The namespace for metrics.</param>
    /// <param name="metric">The CloudWatch metric.</param>
    /// <returns>Async task.</returns>
    private static async Task CreateDashboardWithMetrics()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"5. Create a new CloudWatch dashboard with metrics.");
        var dashboardName = _configuration["dashboardName"];
        var newDashboard = new DashboardModel();
        _configuration.GetSection("dashboardExampleBody").Bind(newDashboard);
        var newDashboardString = JsonSerializer.Serialize(
            newDashboard,
            new JsonSerializerOptions
            {
                DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
            });
        var validationMessages =
            await _cloudWatchWrapper.PutDashboard(dashboardName, newDashboardString);

        Console.WriteLine(validationMessages.Any() ? $"\tValidation messages:" : null);
        for (int i = 0; i < validationMessages.Count; i++)
        {
            Console.WriteLine($"\t{i + 1}. {validationMessages[i].Message}");
        }
        Console.WriteLine($"\tDashboard {dashboardName} was created.");
        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// List dashboards.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task ListDashboards()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"6. List the CloudWatch dashboards in the current account.");

        var dashboards = await _cloudWatchWrapper.ListDashboards();

        for (int i = 0; i < dashboards.Count; i++)
        {
            Console.WriteLine($"\t{i + 1}. {dashboards[i].DashboardName}");
        }

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Create and add data for a new custom metric.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task CreateNewCustomMetric()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"7. Create and add data for a new custom metric.");

        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];

        var customData = await PutRandomMetricData(customMetricName, customMetricNamespace);

        var valuesString = string.Join(',', customData.Select(d => d.Value));
        Console.WriteLine($"\tAdded metric values for for metric {customMetricName}: \n\t{valuesString}");

        Console.WriteLine(new string('-', 80));
    }


    /// <summary>
    /// Add some metric data using a call to a wrapper class.
    /// </summary>
    /// <param name="customMetricName">The metric name.</param>
    /// <param name="customMetricNamespace">The metric namespace.</param>
    /// <returns></returns>
    private static async Task<List<MetricDatum>> PutRandomMetricData(string customMetricName,
        string customMetricNamespace)
    {
        List<MetricDatum> customData = new List<MetricDatum>();
        Random rnd = new Random();

        // Add 10 random values up to 100, starting with a timestamp 15 minutes in the past.
        var utcNowMinus15 = DateTime.UtcNow.AddMinutes(-15);
        for (int i = 0; i < 10; i++)
        {
            var metricValue = rnd.Next(0, 100);
            customData.Add(
                new MetricDatum
                {
                    MetricName = customMetricName,
                    Value = metricValue,
                    TimestampUtc = utcNowMinus15.AddMinutes(i)
                }
            );
        }

        await _cloudWatchWrapper.PutMetricData(customMetricNamespace, customData);
        return customData;
    }

    /// <summary>
    /// Add the custom metric to the dashboard.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task AddMetricToDashboard()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"8. Add the new custom metric to the dashboard.");

        var dashboardName = _configuration["dashboardName"];

        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];

        var validationMessages = await SetupDashboard(customMetricNamespace, customMetricName, dashboardName);

        Console.WriteLine(validationMessages.Any() ? $"\tValidation messages:" : null);
        for (int i = 0; i < validationMessages.Count; i++)
        {
            Console.WriteLine($"\t{i + 1}. {validationMessages[i].Message}");
        }
        Console.WriteLine($"\tDashboard {dashboardName} updated with metric {customMetricName}.");
        Console.WriteLine(new string('-', 80));
    }


    /// <summary>
    /// Set up a dashboard using a call to the wrapper class.
    /// </summary>
    /// <param name="customMetricNamespace">The metric namespace.</param>
    /// <param name="customMetricName">The metric name.</param>
    /// <param name="dashboardName">The name of the dashboard.</param>
    /// <returns>A list of validation messages.</returns>
    private static async Task<List<DashboardValidationMessage>> SetupDashboard(
        string customMetricNamespace, string customMetricName, string dashboardName)
    {
        // Get the dashboard model from configuration.
        var newDashboard = new DashboardModel();
        _configuration.GetSection("dashboardExampleBody").Bind(newDashboard);

        // Add a new metric to the dashboard.
        newDashboard.Widgets.Add(new Widget
        {
            Height = 8,
            Width = 8,
            Y = 8,
            X = 0,
            Type = "metric",
            Properties = new Properties
            {
                Metrics = new List<List<object>>
                    { new() { customMetricNamespace, customMetricName } },
                View = "timeSeries",
                Region = "us-east-1",
                Stat = "Sum",
                Period = 86400,
                YAxis = new YAxis { Left = new Left { Min = 0, Max = 100 } },
                Title = "Custom Metric Widget",
                LiveData = true,
                Sparkline = true,
                Trend = true,
                Stacked = false,
                SetPeriodToTimeRange = false
            }
        });

        var newDashboardString = JsonSerializer.Serialize(newDashboard,
            new JsonSerializerOptions
            { DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull });
        var validationMessages =
            await _cloudWatchWrapper.PutDashboard(dashboardName, newDashboardString);

        return validationMessages;
    }

    /// <summary>
    /// Create a CloudWatch alarm for the new metric.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task CreateMetricAlarm()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"9. Create a CloudWatch alarm for the new metric.");

        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];

        var alarmName = _configuration["exampleAlarmName"];
        var accountId = _configuration["accountId"];
        var region = _configuration["region"];
        var emailTopic = _configuration["emailTopic"];
        var alarmActions = new List<string>();

        if (GetYesNoResponse(
                $"\tAdd an email action for topic {emailTopic} to alarm {alarmName}? (y/n)"))
        {
            _cloudWatchWrapper.AddEmailAlarmAction(accountId, region, emailTopic, alarmActions);
        }

        await _cloudWatchWrapper.PutMetricEmailAlarm(
            "Example metric alarm",
            alarmName,
            ComparisonOperator.GreaterThanOrEqualToThreshold,
            customMetricName,
            customMetricNamespace,
            100,
            alarmActions);

        Console.WriteLine($"\tAlarm {alarmName} added for metric {customMetricName}.");
        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Describe Alarms.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task DescribeAlarms()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"10. Describe CloudWatch alarms in the current account.");

        var alarms = await _cloudWatchWrapper.DescribeAlarms();
        alarms = alarms.OrderByDescending(a => a.StateUpdatedTimestamp).ToList();

        for (int i = 0; i < alarms.Count && i < 10; i++)
        {
            var alarm = alarms[i];
            Console.WriteLine($"\t{i + 1}. {alarm.AlarmName}");
            Console.WriteLine($"\tState: {alarm.StateValue} for {alarm.MetricName} {alarm.ComparisonOperator} {alarm.Threshold}");
        }

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Get the recent data for the metric.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task GetCustomMetricData()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"11. Get current data for new custom metric.");

        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];
        var accountId = _configuration["accountId"];

        var query = new List<MetricDataQuery>
        {
            new MetricDataQuery
            {
                AccountId = accountId,
                Id = "m1",
                Label = "Custom Metric Data",
                MetricStat = new MetricStat
                {
                    Metric = new Metric
                    {
                        MetricName = customMetricName,
                        Namespace = customMetricNamespace,
                    },
                    Period = 1,
                    Stat = "Maximum"
                }
            }
        };

        var metricData = await _cloudWatchWrapper.GetMetricData(
            20,
            true,
            DateTime.UtcNow.AddMinutes(1),
            20,
            query);

        for (int i = 0; i < metricData.Count; i++)
        {
            if (metricData[i].Values != null)
            {
                for (int j = 0; j < metricData[i].Values.Count; j++)
                {
                    Console.WriteLine(
                        $"\tTimestamp {metricData[i].Timestamps[j]:G} Value: {metricData[i].Values[j]}");
                }
            }
        }

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Add metric data to trigger an alarm.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task AddMetricDataForAlarm()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"12. Add metric data to the custom metric to trigger an alarm.");

        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];
        var nowUtc = DateTime.UtcNow;
        List<MetricDatum> customData = new List<MetricDatum>
        {
            new MetricDatum
            {
                MetricName = customMetricName,
                Value = 101,
                TimestampUtc = nowUtc.AddMinutes(-2)
            },
            new MetricDatum
            {
                MetricName = customMetricName,
                Value = 101,
                TimestampUtc = nowUtc.AddMinutes(-1)
            },
            new MetricDatum
            {
                MetricName = customMetricName,
                Value = 101,
                TimestampUtc = nowUtc
            }
        };
        var valuesString = string.Join(',', customData.Select(d => d.Value));
        Console.WriteLine($"\tAdded metric values for for metric {customMetricName}: \n\t{valuesString}");
        await _cloudWatchWrapper.PutMetricData(customMetricNamespace, customData);

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Check for a metric alarm using the DescribeAlarmsForMetric action.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task CheckForMetricAlarm()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"13. Checking for an alarm state.");

        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];
        var hasAlarm = false;
        var retries = 10;
        while (!hasAlarm && retries > 0)
        {
            var alarms = await _cloudWatchWrapper.DescribeAlarmsForMetric(customMetricNamespace, customMetricName);
            hasAlarm = alarms.Any(a => a.StateValue == StateValue.ALARM);
            retries--;
            Thread.Sleep(20000);
        }

        Console.WriteLine(hasAlarm
            ? $"\tAlarm state found for {customMetricName}."
            : $"\tNo Alarm state found for {customMetricName} after 10 retries.");

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Get history for an alarm.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task GetAlarmHistory()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"14. Get alarm history.");

        var exampleAlarmName = _configuration["exampleAlarmName"];

        var alarmHistory = await _cloudWatchWrapper.DescribeAlarmHistory(exampleAlarmName, 2);

        for (int i = 0; i < alarmHistory.Count; i++)
        {
            var history = alarmHistory[i];
            Console.WriteLine($"\t{i + 1}. {history.HistorySummary}, time {history.Timestamp:g}");
        }
        if (!alarmHistory.Any())
        {
            Console.WriteLine($"\tNo alarm history data found for {exampleAlarmName}.");
        }

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Add an anomaly detector.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task<SingleMetricAnomalyDetector> AddAnomalyDetector()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"15. Add an anomaly detector.");

        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];

        var detector = new SingleMetricAnomalyDetector
        {
            MetricName = customMetricName,
            Namespace = customMetricNamespace,
            Stat = "Maximum"
        };
        await _cloudWatchWrapper.PutAnomalyDetector(detector);
        Console.WriteLine($"\tAdded anomaly detector for metric {customMetricName}.");

        Console.WriteLine(new string('-', 80));
        return detector;
    }

    /// <summary>
    /// Describe anomaly detectors.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task DescribeAnomalyDetectors()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"16. Describe anomaly detectors in the current account.");

        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];

        var detectors = await _cloudWatchWrapper.DescribeAnomalyDetectors(customMetricNamespace, customMetricName);

        for (int i = 0; i < detectors.Count; i++)
        {
            var detector = detectors[i];
            Console.WriteLine($"\t{i + 1}. {detector.SingleMetricAnomalyDetector.MetricName}, state {detector.StateValue}");
        }

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Fetch and open a metrics image for a CloudWatch metric and namespace.
    /// </summary>
    /// <returns>Async task.</returns>
    private static async Task GetAndOpenMetricImage()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine("17. Get a metric image from CloudWatch.");

        Console.WriteLine($"\tGetting Image data for custom metric.");
        var customMetricNamespace = _configuration["customMetricNamespace"];
        var customMetricName = _configuration["customMetricName"];

        var memoryStream = await _cloudWatchWrapper.GetTimeSeriesMetricImage(customMetricNamespace, customMetricName, "Maximum", 10);
        var file = _cloudWatchWrapper.SaveMetricImage(memoryStream, "MetricImages");

        ProcessStartInfo info = new ProcessStartInfo();

        Console.WriteLine($"\tFile saved as {Path.GetFileName(file)}.");
        Console.WriteLine($"\tPress enter to open the image.");
        Console.ReadLine();
        info.FileName = Path.Combine("ms-photos://", file);
        info.UseShellExecute = true;
        info.CreateNoWindow = true;
        info.Verb = string.Empty;

        Process.Start(info);

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Clean up created resources.
    /// </summary>
    /// <param name="metricNamespace">The namespace for metrics.</param>
    /// <param name="metric">The CloudWatch metric.</param>
    /// <returns>Async task.</returns>
    private static async Task CleanupResources()
    {
        Console.WriteLine(new string('-', 80));
        Console.WriteLine($"18. Clean up resources.");

        var dashboardName = _configuration["dashboardName"];
        if (GetYesNoResponse($"\tDelete dashboard {dashboardName}? (y/n)"))
        {
            Console.WriteLine($"\tDeleting dashboard.");
            var dashboardList = new List<string> { dashboardName };
            await _cloudWatchWrapper.DeleteDashboards(dashboardList);
        }

        var alarmName = _configuration["exampleAlarmName"];
        if (GetYesNoResponse($"\tDelete alarm {alarmName}? (y/n)"))
        {
            Console.WriteLine($"\tCleaning up alarms.");
            var alarms = new List<string> { alarmName };
            await _cloudWatchWrapper.DeleteAlarms(alarms);
        }

        if (GetYesNoResponse($"\tDelete anomaly detector? (y/n)") && anomalyDetector != null)
        {
            Console.WriteLine($"\tCleaning up anomaly detector.");

            await _cloudWatchWrapper.DeleteAnomalyDetector(
                anomalyDetector);
        }

        Console.WriteLine(new string('-', 80));
    }

    /// <summary>
    /// Get a yes or no response from the user.
    /// </summary>
    /// <param name="question">The question string to print on the console.</param>
    /// <returns>True if the user responds with a yes.</returns>
    private static bool GetYesNoResponse(string question)
    {
        Console.WriteLine(question);
        var ynResponse = Console.ReadLine();
        var response = ynResponse != null &&
                       ynResponse.Equals("y",
                           StringComparison.InvariantCultureIgnoreCase);
        return response;
    }
}
```
Métodos envoltorios utilizados por el escenario para CloudWatch las acciones.  

```
/// <summary>
/// Wrapper class for Amazon CloudWatch methods.
/// </summary>
public class CloudWatchWrapper
{
    private readonly IAmazonCloudWatch _amazonCloudWatch;
    private readonly ILogger<CloudWatchWrapper> _logger;

    /// <summary>
    /// Constructor for the CloudWatch wrapper.
    /// </summary>
    /// <param name="amazonCloudWatch">The injected CloudWatch client.</param>
    /// <param name="logger">The injected logger for the wrapper.</param>
    public CloudWatchWrapper(IAmazonCloudWatch amazonCloudWatch, ILogger<CloudWatchWrapper> logger)

    {
        _logger = logger;
        _amazonCloudWatch = amazonCloudWatch;
    }

    /// <summary>
    /// List metrics available, optionally within a namespace.
    /// </summary>
    /// <param name="metricNamespace">Optional CloudWatch namespace to use when listing metrics.</param>
    /// <param name="filter">Optional dimension filter.</param>
    /// <param name="metricName">Optional metric name filter.</param>
    /// <returns>The list of metrics.</returns>
    public async Task<List<Metric>> ListMetrics(string? metricNamespace = null, DimensionFilter? filter = null, string? metricName = null)
    {
        var results = new List<Metric>();
        var paginateMetrics = _amazonCloudWatch.Paginators.ListMetrics(
            new ListMetricsRequest
            {
                Namespace = metricNamespace,
                Dimensions = filter != null ? new List<DimensionFilter> { filter } : null,
                MetricName = metricName
            });
        // Get the entire list using the paginator.
        await foreach (var metric in paginateMetrics.Metrics)
        {
            results.Add(metric);
        }

        return results;
    }

    /// <summary>
    /// Wrapper to get statistics for a specific CloudWatch metric.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metricName">The name of the metric.</param>
    /// <param name="statistics">The list of statistics to include.</param>
    /// <param name="dimensions">The list of dimensions to include.</param>
    /// <param name="days">The number of days in the past to include.</param>
    /// <param name="period">The period for the data.</param>
    /// <returns>A list of DataPoint objects for the statistics.</returns>
    public async Task<List<Datapoint>> GetMetricStatistics(string metricNamespace,
        string metricName, List<string> statistics, List<Dimension> dimensions, int days, int period)
    {
        var metricStatistics = await _amazonCloudWatch.GetMetricStatisticsAsync(
            new GetMetricStatisticsRequest()
            {
                Namespace = metricNamespace,
                MetricName = metricName,
                Dimensions = dimensions,
                Statistics = statistics,
                StartTimeUtc = DateTime.UtcNow.AddDays(-days),
                EndTimeUtc = DateTime.UtcNow,
                Period = period
            });

        return metricStatistics.Datapoints ?? new List<Datapoint>();
    }

    /// <summary>
    /// Wrapper to create or add to a dashboard with metrics.
    /// </summary>
    /// <param name="dashboardName">The name for the dashboard.</param>
    /// <param name="dashboardBody">The metric data in JSON for the dashboard.</param>
    /// <returns>A list of validation messages for the dashboard.</returns>
    public async Task<List<DashboardValidationMessage>> PutDashboard(string dashboardName,
        string dashboardBody)
    {
        // Updating a dashboard replaces all contents.
        // Best practice is to include a text widget indicating this dashboard was created programmatically.
        var dashboardResponse = await _amazonCloudWatch.PutDashboardAsync(
            new PutDashboardRequest()
            {
                DashboardName = dashboardName,
                DashboardBody = dashboardBody
            });

        return dashboardResponse.DashboardValidationMessages ?? new List<DashboardValidationMessage>();
    }


    /// <summary>
    /// Get information on a dashboard.
    /// </summary>
    /// <param name="dashboardName">The name of the dashboard.</param>
    /// <returns>A JSON object with dashboard information.</returns>
    public async Task<string> GetDashboard(string dashboardName)
    {
        var dashboardResponse = await _amazonCloudWatch.GetDashboardAsync(
            new GetDashboardRequest()
            {
                DashboardName = dashboardName
            });

        return dashboardResponse.DashboardBody;
    }


    /// <summary>
    /// Get a list of dashboards.
    /// </summary>
    /// <returns>A list of DashboardEntry objects.</returns>
    public async Task<List<DashboardEntry>> ListDashboards()
    {
        var results = new List<DashboardEntry>();
        var paginateDashboards = _amazonCloudWatch.Paginators.ListDashboards(
            new ListDashboardsRequest());
        // Get the entire list using the paginator.
        await foreach (var data in paginateDashboards.DashboardEntries)
        {
            results.Add(data);
        }

        return results;
    }

    /// <summary>
    /// Wrapper to add metric data to a CloudWatch metric.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metricData">A data object for the metric data.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> PutMetricData(string metricNamespace,
        List<MetricDatum> metricData)
    {
        var putDataResponse = await _amazonCloudWatch.PutMetricDataAsync(
            new PutMetricDataRequest()
            {
                MetricData = metricData,
                Namespace = metricNamespace,
            });

        return putDataResponse.HttpStatusCode == HttpStatusCode.OK;
    }

    /// <summary>
    /// Get an image for a metric graphed over time.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metric">The name of the metric.</param>
    /// <param name="stat">The name of the stat to chart.</param>
    /// <param name="period">The period to use for the chart.</param>
    /// <returns>A memory stream for the chart image.</returns>
    public async Task<MemoryStream> GetTimeSeriesMetricImage(string metricNamespace, string metric, string stat, int period)
    {
        var metricImageWidget = new
        {
            title = "Example Metric Graph",
            view = "timeSeries",
            stacked = false,
            period = period,
            width = 1400,
            height = 600,
            metrics = new List<List<object>>
                { new() { metricNamespace, metric, new { stat } } }
        };

        var metricImageWidgetString = JsonSerializer.Serialize(metricImageWidget);
        var imageResponse = await _amazonCloudWatch.GetMetricWidgetImageAsync(
            new GetMetricWidgetImageRequest()
            {
                MetricWidget = metricImageWidgetString
            });

        return imageResponse.MetricWidgetImage;
    }

    /// <summary>
    /// Save a metric image to a file.
    /// </summary>
    /// <param name="memoryStream">The MemoryStream for the metric image.</param>
    /// <param name="metricName">The name of the metric.</param>
    /// <returns>The path to the file.</returns>
    public string SaveMetricImage(MemoryStream memoryStream, string metricName)
    {
        var metricFileName = $"{metricName}_{DateTime.Now.Ticks}.png";
        using var sr = new StreamReader(memoryStream);
        // Writes the memory stream to a file.
        File.WriteAllBytes(metricFileName, memoryStream.ToArray());
        var filePath = Path.Join(AppDomain.CurrentDomain.BaseDirectory,
            metricFileName);
        return filePath;
    }

    /// <summary>
    /// Get data for CloudWatch metrics.
    /// </summary>
    /// <param name="minutesOfData">The number of minutes of data to include.</param>
    /// <param name="useDescendingTime">True to return the data descending by time.</param>
    /// <param name="endDateUtc">The end date for the data, in UTC.</param>
    /// <param name="maxDataPoints">The maximum data points to include.</param>
    /// <param name="dataQueries">Optional data queries to include.</param>
    /// <returns>A list of the requested metric data.</returns>
    public async Task<List<MetricDataResult>> GetMetricData(int minutesOfData, bool useDescendingTime, DateTime? endDateUtc = null,
        int maxDataPoints = 0, List<MetricDataQuery>? dataQueries = null)
    {
        var metricData = new List<MetricDataResult>();
        // If no end time is provided, use the current time for the end time.
        endDateUtc ??= DateTime.UtcNow;
        var timeZoneOffset = TimeZoneInfo.Local.GetUtcOffset(endDateUtc.Value.ToLocalTime());
        var startTimeUtc = endDateUtc.Value.AddMinutes(-minutesOfData);
        // The timezone string should be in the format +0000, so use the timezone offset to format it correctly.
        var timeZoneString = $"{timeZoneOffset.Hours:D2}{timeZoneOffset.Minutes:D2}";
        // Add the plus sign for positive offsets.
        timeZoneString = timeZoneString.StartsWith('-') ? timeZoneString : "+" + timeZoneString;
        var paginatedMetricData = _amazonCloudWatch.Paginators.GetMetricData(
            new GetMetricDataRequest()
            {
                StartTimeUtc = startTimeUtc,
                EndTimeUtc = endDateUtc.Value,
                LabelOptions = new LabelOptions { Timezone = timeZoneString },
                ScanBy = useDescendingTime ? ScanBy.TimestampDescending : ScanBy.TimestampAscending,
                MaxDatapoints = maxDataPoints,
                MetricDataQueries = dataQueries,
            });

        if (paginatedMetricData.MetricDataResults != null)
        {
            await foreach (var data in paginatedMetricData.MetricDataResults)
            {
                metricData.Add(data);
            }
        }

        return metricData;
    }

    /// <summary>
    /// Add a metric alarm to send an email when the metric passes a threshold.
    /// </summary>
    /// <param name="alarmDescription">A description of the alarm.</param>
    /// <param name="alarmName">The name for the alarm.</param>
    /// <param name="comparison">The type of comparison to use.</param>
    /// <param name="metricName">The name of the metric for the alarm.</param>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="threshold">The threshold value for the alarm.</param>
    /// <param name="alarmActions">Optional actions to execute when in an alarm state.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> PutMetricEmailAlarm(string alarmDescription, string alarmName, ComparisonOperator comparison,
        string metricName, string metricNamespace, double threshold, List<string> alarmActions = null!)
    {
        try
        {
            var putEmailAlarmResponse = await _amazonCloudWatch.PutMetricAlarmAsync(
                new PutMetricAlarmRequest()
                {
                    AlarmActions = alarmActions,
                    AlarmDescription = alarmDescription,
                    AlarmName = alarmName,
                    ComparisonOperator = comparison,
                    Threshold = threshold,
                    Namespace = metricNamespace,
                    MetricName = metricName,
                    EvaluationPeriods = 1,
                    Period = 10,
                    Statistic = new Statistic("Maximum"),
                    DatapointsToAlarm = 1,
                    TreatMissingData = "ignore"
                });
            return putEmailAlarmResponse.HttpStatusCode == HttpStatusCode.OK;
        }
        catch (LimitExceededException lex)
        {
            _logger.LogError(lex, $"Unable to add alarm {alarmName}. Alarm quota has already been reached.");
        }

        return false;
    }

    /// <summary>
    /// Add specific email actions to a list of action strings for a CloudWatch alarm.
    /// </summary>
    /// <param name="accountId">The AccountId for the alarm.</param>
    /// <param name="region">The region for the alarm.</param>
    /// <param name="emailTopicName">An Amazon Simple Notification Service (SNS) topic for the alarm email.</param>
    /// <param name="alarmActions">Optional list of existing alarm actions to append to.</param>
    /// <returns>A list of string actions for an alarm.</returns>
    public List<string> AddEmailAlarmAction(string accountId, string region,
        string emailTopicName, List<string>? alarmActions = null)
    {
        alarmActions ??= new List<string>();
        var snsAlarmAction = $"arn:aws:sns:{region}:{accountId}:{emailTopicName}";
        alarmActions.Add(snsAlarmAction);
        return alarmActions;
    }

    /// <summary>
    /// Describe the current alarms, optionally filtered by state.
    /// </summary>
    /// <param name="stateValue">Optional filter for alarm state.</param>
    /// <returns>The list of alarm data.</returns>
    public async Task<List<MetricAlarm>> DescribeAlarms(StateValue? stateValue = null)
    {
        List<MetricAlarm> alarms = new List<MetricAlarm>();
        var paginatedDescribeAlarms = _amazonCloudWatch.Paginators.DescribeAlarms(
            new DescribeAlarmsRequest()
            {
                StateValue = stateValue
            });

        await foreach (var data in paginatedDescribeAlarms.MetricAlarms)
        {
            alarms.Add(data);
        }
        return alarms;
    }

    /// <summary>
    /// Describe the current alarms for a specific metric.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metricName">The name of the metric.</param>
    /// <returns>The list of alarm data.</returns>
    public async Task<List<MetricAlarm>> DescribeAlarmsForMetric(string metricNamespace, string metricName)
    {
        var alarmsResult = await _amazonCloudWatch.DescribeAlarmsForMetricAsync(
            new DescribeAlarmsForMetricRequest()
            {
                Namespace = metricNamespace,
                MetricName = metricName
            });

        return alarmsResult.MetricAlarms ?? new List<MetricAlarm>();
    }

    /// <summary>
    /// Describe the history of an alarm for a number of days in the past.
    /// </summary>
    /// <param name="alarmName">The name of the alarm.</param>
    /// <param name="historyDays">The number of days in the past.</param>
    /// <returns>The list of alarm history data.</returns>
    public async Task<List<AlarmHistoryItem>> DescribeAlarmHistory(string alarmName, int historyDays)
    {
        List<AlarmHistoryItem> alarmHistory = new List<AlarmHistoryItem>();
        var paginatedAlarmHistory = _amazonCloudWatch.Paginators.DescribeAlarmHistory(
            new DescribeAlarmHistoryRequest()
            {
                AlarmName = alarmName,
                EndDateUtc = DateTime.UtcNow,
                HistoryItemType = HistoryItemType.StateUpdate,
                StartDateUtc = DateTime.UtcNow.AddDays(-historyDays)
            });

        await foreach (var data in paginatedAlarmHistory.AlarmHistoryItems)
        {
            alarmHistory.Add(data);
        }
        return alarmHistory;
    }

    /// <summary>
    /// Delete a list of alarms from CloudWatch.
    /// </summary>
    /// <param name="alarmNames">A list of names of alarms to delete.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> DeleteAlarms(List<string> alarmNames)
    {
        var deleteAlarmsResult = await _amazonCloudWatch.DeleteAlarmsAsync(
            new DeleteAlarmsRequest()
            {
                AlarmNames = alarmNames
            });

        return deleteAlarmsResult.HttpStatusCode == HttpStatusCode.OK;
    }

    /// <summary>
    /// Disable the actions for a list of alarms from CloudWatch.
    /// </summary>
    /// <param name="alarmNames">A list of names of alarms.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> DisableAlarmActions(List<string> alarmNames)
    {
        var disableAlarmActionsResult = await _amazonCloudWatch.DisableAlarmActionsAsync(
            new DisableAlarmActionsRequest()
            {
                AlarmNames = alarmNames
            });

        return disableAlarmActionsResult.HttpStatusCode == HttpStatusCode.OK;
    }

    /// <summary>
    /// Enable the actions for a list of alarms from CloudWatch.
    /// </summary>
    /// <param name="alarmNames">A list of names of alarms.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> EnableAlarmActions(List<string> alarmNames)
    {
        var enableAlarmActionsResult = await _amazonCloudWatch.EnableAlarmActionsAsync(
            new EnableAlarmActionsRequest()
            {
                AlarmNames = alarmNames
            });

        return enableAlarmActionsResult.HttpStatusCode == HttpStatusCode.OK;
    }

    /// <summary>
    /// Add an anomaly detector for a single metric.
    /// </summary>
    /// <param name="anomalyDetector">A single metric anomaly detector.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> PutAnomalyDetector(SingleMetricAnomalyDetector anomalyDetector)
    {
        var putAlarmDetectorResult = await _amazonCloudWatch.PutAnomalyDetectorAsync(
            new PutAnomalyDetectorRequest()
            {
                SingleMetricAnomalyDetector = anomalyDetector
            });

        return putAlarmDetectorResult.HttpStatusCode == HttpStatusCode.OK;
    }

    /// <summary>
    /// Describe anomaly detectors for a metric and namespace.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metricName">The metric of the anomaly detectors.</param>
    /// <returns>The list of detectors.</returns>
    public async Task<List<AnomalyDetector>> DescribeAnomalyDetectors(string metricNamespace, string metricName)
    {
        List<AnomalyDetector> detectors = new List<AnomalyDetector>();
        var paginatedDescribeAnomalyDetectors = _amazonCloudWatch.Paginators.DescribeAnomalyDetectors(
            new DescribeAnomalyDetectorsRequest()
            {
                MetricName = metricName,
                Namespace = metricNamespace
            });

        await foreach (var data in paginatedDescribeAnomalyDetectors.AnomalyDetectors)
        {
            detectors.Add(data);
        }

        return detectors;
    }

    /// <summary>
    /// Delete a single metric anomaly detector.
    /// </summary>
    /// <param name="anomalyDetector">The anomaly detector to delete.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> DeleteAnomalyDetector(SingleMetricAnomalyDetector anomalyDetector)
    {
        var deleteAnomalyDetectorResponse = await _amazonCloudWatch.DeleteAnomalyDetectorAsync(
            new DeleteAnomalyDetectorRequest()
            {
                SingleMetricAnomalyDetector = anomalyDetector
            });

        return deleteAnomalyDetectorResponse.HttpStatusCode == HttpStatusCode.OK;
    }

    /// <summary>
    /// Delete a list of CloudWatch dashboards.
    /// </summary>
    /// <param name="dashboardNames">List of dashboard names to delete.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> DeleteDashboards(List<string> dashboardNames)
    {
        var deleteDashboardsResponse = await _amazonCloudWatch.DeleteDashboardsAsync(
            new DeleteDashboardsRequest()
            {
                DashboardNames = dashboardNames
            });

        return deleteDashboardsResponse.HttpStatusCode == HttpStatusCode.OK;
    }
}
```
Ejemplo de valores de settings.json para este escenario:  

```
{
  "dashboardName": "example-new-dashboard",
  "exampleAlarmName": "example-metric-alarm",
  "accountId": "1234567890",
  "region": "us-east-1",
  "emailTopic": "Default_CloudWatch_Alarms_Topic",
  "customMetricNamespace": "example-namespace",
  "customMetricName": "example-custom-metric",
  "dashboardExampleBody": {
    "widgets": [
      {
        "height": 6,
        "width": 6,
        "y": 0,
        "x": 0,
        "type": "text",
        "properties": {
          "markdown": "# Code Example Dashboard \nThis dashboard was created by example code.\n"
        }
      },
      {
        "height": 8,
        "width": 8,
        "y": 0,
        "x": 6,
        "type": "metric",
        "properties": {
          "metrics": [
            [
              "AWS/Billing",
              "EstimatedCharges",
              "Currency",
              "USD",
              { "region": "us-east-1" }
            ]
          ],
          "view": "timeSeries",
          "region": "us-east-1",
          "stat": "Maximum",
          "period": 86400,
          "yAxis": {
            "left": {
              "min": 0,
              "max": 100
            }
          },
          "stacked": false,
          "title": "Estimated Billing",
          "setPeriodToTimeRange": false,
          "liveData": true,
          "sparkline": true,
          "trend": true
        }
      },
      {
        "height": 8,
        "width": 8,
        "y": 0,
        "x": 14,
        "type": "metric",
        "properties": {
          "metrics": [
            [ "AWS/Usage", "CallCount", "Type", "API", "Resource", "ListMetrics", "Service", "CloudWatch", "Class", "None" ],
            [ "...", "GetMetricStatistics", ".", ".", ".", "." ],
            [ "...", "GetMetricData", ".", ".", ".", "." ],
            [ "...", "PutDashboard", ".", ".", ".", "." ],
            [ "...", "PutMetricData", ".", ".", ".", "." ]
          ],
          "view": "timeSeries",
          "yAxis": {
            "left": {
              "min": 0,
              "max": 200
            }
          },
          "stacked": false,
          "region": "us-east-1",
          "stat": "Sum",
          "period": 300,
          "title": "CloudWatch Usage",
          "setPeriodToTimeRange": false,
          "liveData": true,
          "sparkline": true,
          "trend": true
        }
      }
    ]
  }
}
```
+ Para obtener detalles sobre la API, consulte los siguientes temas en la *Referencia de la API de AWS SDK para .NET *.
  + [DeleteAlarms](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DeleteAlarms)
  + [DeleteAnomalyDetector](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DeleteAnomalyDetector)
  + [DeleteDashboards](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DeleteDashboards)
  + [DescribeAlarmHistory](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAlarmHistory)
  + [DescribeAlarms](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAlarms)
  + [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAlarmsForMetric)
  + [DescribeAnomalyDetectors](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAnomalyDetectors)
  + [GetMetricData](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/GetMetricData)
  + [GetMetricStatistics](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/GetMetricStatistics)
  + [GetMetricWidgetImage](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/GetMetricWidgetImage)
  + [ListMetrics](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/ListMetrics)
  + [PutAnomalyDetector](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutAnomalyDetector)
  + [PutDashboard](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutDashboard)
  + [PutMetricAlarm](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutMetricAlarm)
  + [PutMetricData](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutMetricData)

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 
Ejecute un escenario interactivo que demuestre CloudWatch las funciones.  

```
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import software.amazon.awssdk.services.cloudwatch.model.CloudWatchException;
import software.amazon.awssdk.services.cloudwatch.model.DashboardInvalidInputErrorException;
import software.amazon.awssdk.services.cloudwatch.model.DeleteAlarmsResponse;
import software.amazon.awssdk.services.cloudwatch.model.DeleteAnomalyDetectorResponse;
import software.amazon.awssdk.services.cloudwatch.model.DeleteDashboardsResponse;
import software.amazon.awssdk.services.cloudwatch.model.Dimension;
import software.amazon.awssdk.services.cloudwatch.model.GetMetricStatisticsResponse;
import software.amazon.awssdk.services.cloudwatch.model.LimitExceededException;
import software.amazon.awssdk.services.cloudwatch.model.PutDashboardResponse;
import software.amazon.awssdk.services.cloudwatch.model.PutMetricDataResponse;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Scanner;
import java.util.concurrent.CompletableFuture;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 *
 * To enable billing metrics and statistics for this example, make sure billing
 * alerts are enabled for your account:
 * https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/monitor_estimated_charges_with_cloudwatch.html#turning_on_billing_metrics
 *
 * This Java code example performs the following tasks:
 *
 * 1. List available namespaces from Amazon CloudWatch.
 * 2. List available metrics within the selected Namespace.
 * 3. Get statistics for the selected metric over the last day.
 * 4. Get CloudWatch estimated billing for the last week.
 * 5. Create a new CloudWatch dashboard with metrics.
 * 6. List dashboards using a paginator.
 * 7. Create a new custom metric by adding data for it.
 * 8. Add the custom metric to the dashboard.
 * 9. Create an alarm for the custom metric.
 * 10. Describe current alarms.
 * 11. Get current data for the new custom metric.
 * 12. Push data into the custom metric to trigger the alarm.
 * 13. Check the alarm state using the action DescribeAlarmsForMetric.
 * 14. Get alarm history for the new alarm.
 * 15. Add an anomaly detector for the custom metric.
 * 16. Describe current anomaly detectors.
 * 17. Get a metric image for the custom metric.
 * 18. Clean up the Amazon CloudWatch resources.
 */
public class CloudWatchScenario {
    public static final String DASHES = new String(new char[80]).replace("\0", "-");

    static CloudWatchActions cwActions = new CloudWatchActions();

    private static final Logger logger = LoggerFactory.getLogger(CloudWatchScenario.class);
    static Scanner scanner = new Scanner(System.in);
    public static void main(String[] args) throws Throwable {

        final String usage = """

            Usage:
              <myDate> <costDateWeek> <dashboardName> <dashboardJson> <dashboardAdd> <settings> <metricImage> \s

            Where:
              myDate - The start date to use to get metric statistics. (For example, 2023-01-11T18:35:24.00Z.)\s
              costDateWeek - The start date to use to get AWS/Billing statistics. (For example, 2023-01-11T18:35:24.00Z.)\s
              dashboardName - The name of the dashboard to create.\s
              dashboardJson - The location of a JSON file to use to create a dashboard. (See jsonWidgets.json in javav2/example_code/cloudwatch.)\s
              dashboardAdd - The location of a JSON file to use to update a dashboard. (See CloudDashboard.json in javav2/example_code/cloudwatch.)\s
              settings - The location of a JSON file from which various values are read. (See settings.json in javav2/example_code/cloudwatch.)\s
              metricImage - The location of a BMP file that is used to create a graph.\s
            """;

        if (args.length != 7) {
            logger.info(usage);
            return;
        }
        String myDate = args[0];
        String costDateWeek = args[1];
        String dashboardName = args[2];
        String dashboardJson = args[3];
        String dashboardAdd = args[4];
        String settings = args[5];
        String metricImage = args[6];

        logger.info(DASHES);
        logger.info("Welcome to the Amazon CloudWatch Basics scenario.");
        logger.info("""
            Amazon CloudWatch is a comprehensive monitoring and observability service 
            provided by Amazon Web Services (AWS). It is designed to help you monitor your 
            AWS resources, applications, and services, as well as on-premises resources, 
            in real-time.
                        
            CloudWatch collects and tracks various types of data, including metrics, 
            logs, and events, from your AWS and on-premises resources. It allows you to set 
            alarms and automatically respond to changes in your environment, 
            enabling you to quickly identify and address issues before they impact your 
            applications or services. 
                        
            With CloudWatch, you can gain visibility into your entire infrastructure, from the cloud 
            to the edge, and use this information to make informed decisions and optimize your 
            resource utilization.
                        
            This scenario guides you through how to perform Amazon CloudWatch tasks by using the 
            AWS SDK for Java v2. Let's get started...
            """);
        waitForInputToContinue(scanner);

        try {
            runScenario(myDate, costDateWeek, dashboardName, dashboardJson, dashboardAdd, settings, metricImage);
        } catch (RuntimeException e) {
            e.printStackTrace();
        }
        logger.info(DASHES);
    }

    private static void runScenario(String myDate, String costDateWeek, String dashboardName, String dashboardJson, String dashboardAdd, String settings, String metricImage ) throws Throwable {
        Double dataPoint = Double.parseDouble("10.0");
        logger.info(DASHES);
        logger.info("""
        1. List at least five available unique namespaces from Amazon CloudWatch. 
        Select one from the list.
        """);
        String selectedNamespace;
        String selectedMetrics;
        int num;
        try {
            CompletableFuture<ArrayList<String>> future = cwActions.listNameSpacesAsync();
            ArrayList<String> list = future.join();
            for (int z = 0; z < 5; z++) {
                int index = z + 1;
                logger.info("    " + index + ". {}", list.get(z));
            }

            num = Integer.parseInt(scanner.nextLine());
            if (1 <= num && num <= 5) {
                selectedNamespace = list.get(num - 1);
            } else {
                logger.info("You did not select a valid option.");
                return;
            }
            logger.info("You selected {}", selectedNamespace);

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: " + rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("2. List available metrics within the selected namespace.");
        logger.info("""
            A metric is a measure of the performance or health of your AWS resources, 
            applications, or custom resources. Metrics are the basic building blocks of CloudWatch 
            and provide data points that represent a specific aspect of your system or application over time.
            
            Select a metric from the list.
            """);

        Dimension myDimension = null;
        try {
            CompletableFuture<ArrayList<String>> future = cwActions.listMetsAsync(selectedNamespace);
            ArrayList<String> metList = future.join();
            logger.info("Metrics successfully retrieved. Total metrics: {}", metList.size());
            for (int z = 0; z < 5; z++) {
                int index = z + 1;
                logger.info("    " + index + ". " + metList.get(z));
            }
            num = Integer.parseInt(scanner.nextLine());
            if (1 <= num && num <= 5) {
                selectedMetrics = metList.get(num - 1);
            } else {
                logger.info("You did not select a valid option.");
                return;
            }
            logger.info("You selected {}", selectedMetrics);

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }

        try {
            myDimension = cwActions.getSpecificMetAsync(selectedNamespace).join();
            logger.info("Metric statistics successfully retrieved and displayed.");
        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }

        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("3. Get statistics for the selected metric over the last day.");
        logger.info("""
            Statistics refer to the various mathematical calculations that can be performed on the 
            collected metrics to derive meaningful insights. Statistics provide a way to summarize and 
            analyze the data collected for a specific metric over a specified time period.
            """);
        waitForInputToContinue(scanner);
        String metricOption = "";
        ArrayList<String> statTypes = new ArrayList<>();
        statTypes.add("SampleCount");
        statTypes.add("Average");
        statTypes.add("Sum");
        statTypes.add("Minimum");
        statTypes.add("Maximum");

        for (int t = 0; t < 5; t++) {
            logger.info("    " + (t + 1) + ". {}", statTypes.get(t));
        }
        logger.info("Select a metric statistic by entering a number from the preceding list:");
        num = Integer.parseInt(scanner.nextLine());
        if (1 <= num && num <= 5) {
            metricOption = statTypes.get(num - 1);
        } else {
            logger.info("You did not select a valid option.");
            return;
        }
        logger.info("You selected " + metricOption);
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<GetMetricStatisticsResponse> future = cwActions.getAndDisplayMetricStatisticsAsync(selectedNamespace, selectedMetrics, metricOption, myDate, myDimension);
            future.join();
            logger.info("Metric statistics retrieved successfully.");

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("4. Get CloudWatch estimated billing for the last week.");
        waitForInputToContinue(scanner);
         try {
            CompletableFuture<GetMetricStatisticsResponse> future = cwActions.getMetricStatisticsAsync(costDateWeek);
            future.join();

            logger.info("Metric statistics successfully retrieved and displayed.");
        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
             throw cause;
         }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("5. Create a new CloudWatch dashboard with metrics.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<PutDashboardResponse> future = cwActions.createDashboardWithMetricsAsync(dashboardName, dashboardJson);
            future.join();

        } catch (RuntimeException | IOException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof DashboardInvalidInputErrorException cwEx) {
                logger.info("Invalid CloudWatch data. Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("6. List dashboards using a paginator.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<Void> future = cwActions.listDashboardsAsync();
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("7. Create a new custom metric by adding data to it.");
        logger.info("""
            The primary benefit of using a custom metric in Amazon CloudWatch is the ability to 
            monitor and collect data that is specific to your application or infrastructure.
            """);
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<PutMetricDataResponse> future = cwActions.createNewCustomMetricAsync(dataPoint);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("8. Add an additional metric to the dashboard.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<PutDashboardResponse> future = cwActions.addMetricToDashboardAsync(dashboardAdd, dashboardName);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof DashboardInvalidInputErrorException cwEx) {
                logger.info("Invalid CloudWatch data. Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("9. Create an alarm for the custom metric.");
        waitForInputToContinue(scanner);
        String alarmName = "" ;
        try {
            CompletableFuture<String> future = cwActions.createAlarmAsync(settings);
            alarmName = future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof LimitExceededException cwEx) {
                logger.info("The quota for alarms has been reached: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("10. Describe ten current alarms.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<Void> future = cwActions.describeAlarmsAsync();
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("11. Get current data for new custom metric.");
        try {
            CompletableFuture<Void> future = cwActions.getCustomMetricDataAsync(settings);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("12. Push data into the custom metric to trigger the alarm.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<PutMetricDataResponse> future = cwActions.addMetricDataForAlarmAsync(settings);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("13. Check the alarm state using the action DescribeAlarmsForMetric.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<Void> future = cwActions.checkForMetricAlarmAsync(settings);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("14. Get alarm history for the new alarm.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<Void> future = cwActions.getAlarmHistoryAsync(settings, myDate);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("15. Add an anomaly detector for the custom metric.");
        logger.info("""
            An anomaly detector is a feature that automatically detects unusual patterns or deviations in your 
            monitored metrics. It uses machine learning algorithms to analyze the historical behavior 
            of your metrics and establish a baseline. 
            
            The anomaly detector then compares the current metric values against this baseline and 
            identifies any anomalies or outliers that may indicate potential issues or unexpected changes 
            in your system's performance or behavior. 
            
            """);
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<Void> future = cwActions.addAnomalyDetectorAsync(settings);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("16. Describe current anomaly detectors.");
        waitForInputToContinue(scanner);
        try {
            CompletableFuture<Void> future = cwActions.describeAnomalyDetectorsAsync(settings);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("17. Get a metric image for the custom metric.");
        try {
            CompletableFuture<Void> future = cwActions.downloadAndSaveMetricImageAsync(metricImage);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("18. Clean up the Amazon CloudWatch resources.");

        try {
            logger.info(". Delete the Dashboard.");
            waitForInputToContinue(scanner);
            CompletableFuture<DeleteDashboardsResponse> future = cwActions.deleteDashboardAsync(dashboardName);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }

        try {
            logger.info("Delete the alarm.");
            waitForInputToContinue(scanner);
            CompletableFuture<DeleteAlarmsResponse> future = cwActions.deleteCWAlarmAsync(alarmName);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }

        try {
            logger.info("Delete the anomaly detector.");
            waitForInputToContinue(scanner);
            CompletableFuture<DeleteAnomalyDetectorResponse> future = cwActions.deleteAnomalyDetectorAsync(settings);
            future.join();

        } catch (RuntimeException rt) {
            Throwable cause = rt.getCause();
            if (cause instanceof CloudWatchException cwEx) {
                logger.info("CloudWatch error occurred: Error message: {}, Error code {}", cwEx.getMessage(), cwEx.awsErrorDetails().errorCode());
            } else {
                logger.info("An unexpected error occurred: {}", rt.getMessage());
            }
            throw cause;
        }
        waitForInputToContinue(scanner);
        logger.info(DASHES);

        logger.info(DASHES);
        logger.info("The Amazon CloudWatch example scenario is complete.");
        logger.info(DASHES);
    }

    private static void waitForInputToContinue(Scanner scanner) {
        while (true) {
            logger.info("");
            logger.info("Enter 'c' followed by <ENTER> to continue:");
            String input = scanner.nextLine();
            if (input.trim().equalsIgnoreCase("c")) {
                logger.info("Continuing with the program...");
                logger.info("");
                break;
            } else {
                // Handle invalid input.
                logger.info("Invalid input. Please try again.");
            }
        }
    }
}
```
Una clase contenedora para los métodos CloudWatch del SDK.  

```
public class CloudWatchActions {

    private static CloudWatchAsyncClient cloudWatchAsyncClient;

    private static final Logger logger = LoggerFactory.getLogger(CloudWatchActions.class);

    /**
     * Retrieves an asynchronous CloudWatch client instance.
     *
     * <p>
     * This method ensures that the CloudWatch client is initialized with the following configurations:
     * <ul>
     *     <li>Maximum concurrency: 100</li>
     *     <li>Connection timeout: 60 seconds</li>
     *     <li>Read timeout: 60 seconds</li>
     *     <li>Write timeout: 60 seconds</li>
     *     <li>API call timeout: 2 minutes</li>
     *     <li>API call attempt timeout: 90 seconds</li>
     *     <li>Retry strategy: STANDARD</li>
     * </ul>
     * </p>
     *
     * @return the asynchronous CloudWatch client instance
     */
    private static CloudWatchAsyncClient getAsyncClient() {
        if (cloudWatchAsyncClient == null) {
            SdkAsyncHttpClient httpClient = NettyNioAsyncHttpClient.builder()
                .maxConcurrency(100)
                .connectionTimeout(Duration.ofSeconds(60))
                .readTimeout(Duration.ofSeconds(60))
                .writeTimeout(Duration.ofSeconds(60))
                .build();

            ClientOverrideConfiguration overrideConfig = ClientOverrideConfiguration.builder()
                .apiCallTimeout(Duration.ofMinutes(2))
                .apiCallAttemptTimeout(Duration.ofSeconds(90))
                .retryStrategy(RetryMode.STANDARD)
                .build();

            cloudWatchAsyncClient = CloudWatchAsyncClient.builder()
                .httpClient(httpClient)
                .overrideConfiguration(overrideConfig)
                .build();
        }
        return cloudWatchAsyncClient;
    }

    /**
     * Deletes an Anomaly Detector.
     *
     * @param fileName the name of the file containing the Anomaly Detector configuration
     * @return a CompletableFuture that represents the asynchronous deletion of the Anomaly Detector
     */
    public CompletableFuture<DeleteAnomalyDetectorResponse> deleteAnomalyDetectorAsync(String fileName) {
        CompletableFuture<JsonNode> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                return new ObjectMapper().readTree(parser); // Return the root node
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        return readFileFuture.thenCompose(rootNode -> {
            String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
            String customMetricName = rootNode.findValue("customMetricName").asText();

            SingleMetricAnomalyDetector singleMetricAnomalyDetector = SingleMetricAnomalyDetector.builder()
                .metricName(customMetricName)
                .namespace(customMetricNamespace)
                .stat("Maximum")
                .build();

            DeleteAnomalyDetectorRequest request = DeleteAnomalyDetectorRequest.builder()
                .singleMetricAnomalyDetector(singleMetricAnomalyDetector)
                .build();

            return getAsyncClient().deleteAnomalyDetector(request);
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Failed to delete the Anomaly Detector", exception);
            } else {
                logger.info("Successfully deleted the Anomaly Detector.");
            }
        });
    }

    /**
     * Deletes a CloudWatch alarm.
     *
     * @param alarmName the name of the alarm to be deleted
     * @return a {@link CompletableFuture} representing the asynchronous operation to delete the alarm
     * the {@link DeleteAlarmsResponse} is returned when the operation completes successfully,
     * or a {@link RuntimeException} is thrown if the operation fails
     */
    public CompletableFuture<DeleteAlarmsResponse> deleteCWAlarmAsync(String alarmName) {
        DeleteAlarmsRequest request = DeleteAlarmsRequest.builder()
            .alarmNames(alarmName)
            .build();

        return getAsyncClient().deleteAlarms(request)
            .whenComplete((response, exception) -> {
                if (exception != null) {
                    throw new RuntimeException("Failed to delete the alarm:{} " + alarmName, exception);
                } else {
                    logger.info("Successfully deleted alarm {} ", alarmName);
                }
            });
    }

    /**
     * Deletes the specified dashboard.
     *
     * @param dashboardName the name of the dashboard to be deleted
     * @return a {@link CompletableFuture} representing the asynchronous operation of deleting the dashboard
     * @throws RuntimeException if the dashboard deletion fails
     */
    public CompletableFuture<DeleteDashboardsResponse> deleteDashboardAsync(String dashboardName) {
        DeleteDashboardsRequest dashboardsRequest = DeleteDashboardsRequest.builder()
            .dashboardNames(dashboardName)
            .build();

        return getAsyncClient().deleteDashboards(dashboardsRequest)
            .whenComplete((response, exception) -> {
                if (exception != null) {
                    throw new RuntimeException("Failed to delete the dashboard: " + dashboardName, exception);
                } else {
                    logger.info("{} was successfully deleted.", dashboardName);
                }
            });
    }


    /**
     * Retrieves and saves a custom metric image to a file.
     *
     * @param fileName the name of the file to save the metric image to
     * @return a {@link CompletableFuture} that completes when the image has been saved to the file
     */
    public CompletableFuture<Void> downloadAndSaveMetricImageAsync(String fileName) {
        logger.info("Getting Image data for custom metric.");
        String myJSON = """
              {
                  "title": "Example Metric Graph",
                  "view": "timeSeries",
                  "stacked ": false,
                  "period": 10,
                  "width": 1400,
                  "height": 600,
                  "metrics": [
                      [
                      "AWS/Billing",
                      "EstimatedCharges",
                      "Currency",
                      "USD"
                     ]
                  ]
              }
            """;

        GetMetricWidgetImageRequest imageRequest = GetMetricWidgetImageRequest.builder()
            .metricWidget(myJSON)
            .build();

        return getAsyncClient().getMetricWidgetImage(imageRequest)
            .thenCompose(response -> {
                SdkBytes sdkBytes = response.metricWidgetImage();
                byte[] bytes = sdkBytes.asByteArray();
                return CompletableFuture.runAsync(() -> {
                    try {
                        File outputFile = new File(fileName);
                        try (FileOutputStream outputStream = new FileOutputStream(outputFile)) {
                            outputStream.write(bytes);
                        }
                    } catch (IOException e) {
                        throw new RuntimeException("Failed to write image to file", e);
                    }
                });
            })
            .whenComplete((result, exception) -> {
                if (exception != null) {
                    throw new RuntimeException("Error getting and saving metric image", exception);
                } else {
                    logger.info("Image data saved successfully to {}", fileName);
                }
            });
    }


    /**
     * Describes the anomaly detectors based on the specified JSON file.
     *
     * @param fileName the name of the JSON file containing the custom metric namespace and name
     * @return a {@link CompletableFuture} that completes when the anomaly detectors have been described
     * @throws RuntimeException if there is a failure during the operation, such as when reading or parsing the JSON file,
     *                          or when describing the anomaly detectors
     */
    public CompletableFuture<Void> describeAnomalyDetectorsAsync(String fileName) {
        CompletableFuture<JsonNode> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                return new ObjectMapper().readTree(parser);
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        return readFileFuture.thenCompose(rootNode -> {
            try {
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                DescribeAnomalyDetectorsRequest detectorsRequest = DescribeAnomalyDetectorsRequest.builder()
                    .maxResults(10)
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .build();

                return getAsyncClient().describeAnomalyDetectors(detectorsRequest).thenAccept(response -> {
                    List<AnomalyDetector> anomalyDetectorList = response.anomalyDetectors();
                    for (AnomalyDetector detector : anomalyDetectorList) {
                        logger.info("Metric name: {} ", detector.singleMetricAnomalyDetector().metricName());
                        logger.info("State: {} ", detector.stateValue());
                    }
                });
            } catch (RuntimeException e) {
                throw new RuntimeException("Failed to describe anomaly detectors", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error describing anomaly detectors", exception);
            }
        });
    }


    /**
     * Adds an anomaly detector for the given file.
     *
     * @param fileName the name of the file containing the anomaly detector configuration
     * @return a {@link CompletableFuture} that completes when the anomaly detector has been added
     */
    public CompletableFuture<Void> addAnomalyDetectorAsync(String fileName) {
        CompletableFuture<JsonNode> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                return new ObjectMapper().readTree(parser); // Return the root node
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        return readFileFuture.thenCompose(rootNode -> {
            try {
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                SingleMetricAnomalyDetector singleMetricAnomalyDetector = SingleMetricAnomalyDetector.builder()
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .stat("Maximum")
                    .build();

                PutAnomalyDetectorRequest anomalyDetectorRequest = PutAnomalyDetectorRequest.builder()
                    .singleMetricAnomalyDetector(singleMetricAnomalyDetector)
                    .build();

                return getAsyncClient().putAnomalyDetector(anomalyDetectorRequest).thenAccept(response -> {
                    logger.info("Added anomaly detector for metric {}", customMetricName);
                });
            } catch (Exception e) {
                throw new RuntimeException("Failed to create anomaly detector", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error adding anomaly detector", exception);
            }
        });
    }


    /**
     * Retrieves the alarm history for a given alarm name and date range.
     *
     * @param fileName the path to the JSON file containing the alarm name
     * @param date     the date to start the alarm history search (in the format "yyyy-MM-dd'T'HH:mm:ss'Z'")
     * @return a {@code CompletableFuture<Void>} that completes when the alarm history has been retrieved and processed
     */
    public CompletableFuture<Void> getAlarmHistoryAsync(String fileName, String date) {
        CompletableFuture<String> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(parser);
                return rootNode.findValue("exampleAlarmName").asText(); // Return alarmName from the JSON file
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        // Use the alarm name to describe alarm history with a paginator.
        return readFileFuture.thenCompose(alarmName -> {
            try {
                Instant start = Instant.parse(date);
                Instant endDate = Instant.now();
                DescribeAlarmHistoryRequest historyRequest = DescribeAlarmHistoryRequest.builder()
                    .startDate(start)
                    .endDate(endDate)
                    .alarmName(alarmName)
                    .historyItemType(HistoryItemType.ACTION)
                    .build();

                // Use the paginator to paginate through alarm history pages.
                DescribeAlarmHistoryPublisher historyPublisher = getAsyncClient().describeAlarmHistoryPaginator(historyRequest);
                CompletableFuture<Void> future = historyPublisher
                    .subscribe(response -> response.alarmHistoryItems().forEach(item -> {
                        logger.info("History summary: {}", item.historySummary());
                        logger.info("Timestamp: {}", item.timestamp());
                    }))
                    .whenComplete((result, exception) -> {
                        if (exception != null) {
                            logger.error("Error occurred while getting alarm history: " + exception.getMessage(), exception);
                        } else {
                            logger.info("Successfully retrieved all alarm history.");
                        }
                    });

                // Return the future to the calling code for further handling
                return future;
            } catch (Exception e) {
                throw new RuntimeException("Failed to process alarm history", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error completing alarm history processing", exception);
            }
        });
    }



    /**
     * Checks for a metric alarm in AWS CloudWatch.
     *
     * @param fileName the name of the file containing the JSON configuration for the custom metric
     * @return a {@link CompletableFuture} that completes when the check for the metric alarm is complete
     */
    public CompletableFuture<Void> checkForMetricAlarmAsync(String fileName) {
        CompletableFuture<String> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(parser);
                return rootNode.toString(); // Return JSON as a string for further processing
            } catch (IOException e) {
                throw new RuntimeException("Failed to read file", e);
            }
        });

        return readFileFuture.thenCompose(jsonContent -> {
            try {
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(jsonContent);
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                DescribeAlarmsForMetricRequest metricRequest = DescribeAlarmsForMetricRequest.builder()
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .build();

                return checkForAlarmAsync(metricRequest, customMetricName, 10);

            } catch (IOException e) {
                throw new RuntimeException("Failed to parse JSON content", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error checking metric alarm", exception);
            }
        });
    }

    // Recursive method to check for the alarm.

    /**
     * Checks for the existence of an alarm asynchronously for the specified metric.
     *
     * @param metricRequest    the request to describe the alarms for the specified metric
     * @param customMetricName the name of the custom metric to check for an alarm
     * @param retries          the number of retries to perform if no alarm is found
     * @return a {@link CompletableFuture} that completes when an alarm is found or the maximum number of retries has been reached
     */
    private static CompletableFuture<Void> checkForAlarmAsync(DescribeAlarmsForMetricRequest metricRequest, String customMetricName, int retries) {
        if (retries == 0) {
            return CompletableFuture.completedFuture(null).thenRun(() ->
                logger.info("No Alarm state found for {} after 10 retries.", customMetricName)
            );
        }

        return (getAsyncClient().describeAlarmsForMetric(metricRequest).thenCompose(response -> {
            if (response.hasMetricAlarms()) {
                logger.info("Alarm state found for {}", customMetricName);
                return CompletableFuture.completedFuture(null); // Alarm found, complete the future
            } else {
                return CompletableFuture.runAsync(() -> {
                    try {
                        Thread.sleep(20000);
                        logger.info(".");
                    } catch (InterruptedException e) {
                        throw new RuntimeException("Interrupted while waiting to retry", e);
                    }
                }).thenCompose(v -> checkForAlarmAsync(metricRequest, customMetricName, retries - 1)); // Recursive call
            }
        }));
    }


    /**
     * Adds metric data for an alarm asynchronously.
     *
     * @param fileName the name of the JSON file containing the metric data
     * @return a CompletableFuture that asynchronously returns the PutMetricDataResponse
     */
    public CompletableFuture<PutMetricDataResponse> addMetricDataForAlarmAsync(String fileName) {
        CompletableFuture<String> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(parser);
                return rootNode.toString(); // Return JSON as a string for further processing
            } catch (IOException e) {
                throw new RuntimeException("Failed to read file", e);
            }
        });

        return readFileFuture.thenCompose(jsonContent -> {
            try {
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(jsonContent);
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();
                Instant instant = Instant.now();

                // Create MetricDatum objects.
                MetricDatum datum1 = MetricDatum.builder()
                    .metricName(customMetricName)
                    .unit(StandardUnit.NONE)
                    .value(1001.00)
                    .timestamp(instant)
                    .build();

                MetricDatum datum2 = MetricDatum.builder()
                    .metricName(customMetricName)
                    .unit(StandardUnit.NONE)
                    .value(1002.00)
                    .timestamp(instant)
                    .build();

                List<MetricDatum> metricDataList = new ArrayList<>();
                metricDataList.add(datum1);
                metricDataList.add(datum2);

                // Build the PutMetricData request.
                PutMetricDataRequest request = PutMetricDataRequest.builder()
                    .namespace(customMetricNamespace)
                    .metricData(metricDataList)
                    .build();

                // Send the request asynchronously.
                return getAsyncClient().putMetricData(request);

            } catch (IOException e) {
                CompletableFuture<PutMetricDataResponse> failedFuture = new CompletableFuture<>();
                failedFuture.completeExceptionally(new RuntimeException("Failed to parse JSON content", e));
                return failedFuture;
            }
        }).whenComplete((response, exception) -> {
            if (exception != null) {
                logger.error("Failed to put metric data: " + exception.getMessage(), exception);
            } else {
                logger.info("Added metric values for metric.");
            }
        });
    }


    /**
     * Retrieves custom metric data from the AWS CloudWatch service.
     *
     * @param fileName the name of the file containing the custom metric information
     * @return a {@link CompletableFuture} that completes when the metric data has been retrieved
     */
    public CompletableFuture<Void> getCustomMetricDataAsync(String fileName) {
        CompletableFuture<String> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                // Read values from the JSON file.
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(parser);
                return rootNode.toString(); // Return JSON as a string for further processing
            } catch (IOException e) {
                throw new RuntimeException("Failed to read file", e);
            }
        });

        return readFileFuture.thenCompose(jsonContent -> {
            try {
                // Parse the JSON string to extract relevant values.
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(jsonContent);
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                // Set the current time and date range for metric query.
                Instant nowDate = Instant.now();
                long hours = 1;
                long minutes = 30;
                Instant endTime = nowDate.plus(hours, ChronoUnit.HOURS).plus(minutes, ChronoUnit.MINUTES);

                Metric met = Metric.builder()
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .build();

                MetricStat metStat = MetricStat.builder()
                    .stat("Maximum")
                    .period(60)  // Assuming period in seconds
                    .metric(met)
                    .build();

                MetricDataQuery dataQuery = MetricDataQuery.builder()
                    .metricStat(metStat)
                    .id("foo2")
                    .returnData(true)
                    .build();

                List<MetricDataQuery> dq = new ArrayList<>();
                dq.add(dataQuery);

                GetMetricDataRequest getMetricDataRequest = GetMetricDataRequest.builder()
                    .maxDatapoints(10)
                    .scanBy(ScanBy.TIMESTAMP_DESCENDING)
                    .startTime(nowDate)
                    .endTime(endTime)
                    .metricDataQueries(dq)
                    .build();

                // Call the async method for CloudWatch data retrieval.
                return getAsyncClient().getMetricData(getMetricDataRequest);

            } catch (IOException e) {
                throw new RuntimeException("Failed to parse JSON content", e);
            }
        }).thenAccept(response -> {
            List<MetricDataResult> data = response.metricDataResults();
            for (MetricDataResult item : data) {
                logger.info("The label is: {}", item.label());
                logger.info("The status code is: {}", item.statusCode().toString());
            }
        }).exceptionally(exception -> {
            throw new RuntimeException("Failed to get metric data", exception);
        });
    }


    /**
     * Describes the CloudWatch alarms of the 'METRIC_ALARM' type.
     *
     * @return a {@link CompletableFuture} that represents the asynchronous operation
     * of describing the CloudWatch alarms. The future completes when the
     * operation is finished, either successfully or with an error.
     */
    public CompletableFuture<Void> describeAlarmsAsync() {
        List<AlarmType> typeList = new ArrayList<>();
        typeList.add(AlarmType.METRIC_ALARM);
        DescribeAlarmsRequest alarmsRequest = DescribeAlarmsRequest.builder()
            .alarmTypes(typeList)
            .maxRecords(10)
            .build();

        return getAsyncClient().describeAlarms(alarmsRequest)
            .thenAccept(response -> {
                List<MetricAlarm> alarmList = response.metricAlarms();
                for (MetricAlarm alarm : alarmList) {
                    logger.info("Alarm name: {}", alarm.alarmName());
                    logger.info("Alarm description: {} ", alarm.alarmDescription());
                }
            })
            .whenComplete((response, ex) -> {
                if (ex != null) {
                    logger.info("Failed to describe alarms: {}", ex.getMessage());
                } else {
                    logger.info("Successfully described alarms.");
                }
            });
    }

    /**
     * Creates an alarm based on the configuration provided in a JSON file.
     *
     * @param fileName the name of the JSON file containing the alarm configuration
     * @return a CompletableFuture that represents the asynchronous operation of creating the alarm
     * @throws RuntimeException if an exception occurs while reading the JSON file or creating the alarm
     */
    public CompletableFuture<String> createAlarmAsync(String fileName) {
        com.fasterxml.jackson.databind.JsonNode rootNode;
        try {
            JsonParser parser = new JsonFactory().createParser(new File(fileName));
            rootNode = new ObjectMapper().readTree(parser);
        } catch (IOException e) {
            throw new RuntimeException("Failed to read the alarm configuration file", e);
        }

        // Extract values from the JSON node.
        String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
        String customMetricName = rootNode.findValue("customMetricName").asText();
        String alarmName = rootNode.findValue("exampleAlarmName").asText();
        String emailTopic = rootNode.findValue("emailTopic").asText();
        String accountId = rootNode.findValue("accountId").asText();
        String region = rootNode.findValue("region").asText();

        // Create a List for alarm actions.
        List<String> alarmActions = new ArrayList<>();
        alarmActions.add("arn:aws:sns:" + region + ":" + accountId + ":" + emailTopic);

        PutMetricAlarmRequest alarmRequest = PutMetricAlarmRequest.builder()
            .alarmActions(alarmActions)
            .alarmDescription("Example metric alarm")
            .alarmName(alarmName)
            .comparisonOperator(ComparisonOperator.GREATER_THAN_OR_EQUAL_TO_THRESHOLD)
            .threshold(100.00)
            .metricName(customMetricName)
            .namespace(customMetricNamespace)
            .evaluationPeriods(1)
            .period(10)
            .statistic("Maximum")
            .datapointsToAlarm(1)
            .treatMissingData("ignore")
            .build();

        // Call the putMetricAlarm asynchronously and handle the result.
        return getAsyncClient().putMetricAlarm(alarmRequest)
            .handle((response, ex) -> {
                if (ex != null) {
                    logger.info("Failed to create alarm: {}", ex.getMessage());
                    throw new RuntimeException("Failed to create alarm", ex);
                } else {
                    logger.info("{} was successfully created!", alarmName);
                    return alarmName;
                }
            });
    }

    /**
     * Adds a metric to a dashboard asynchronously.
     *
     * @param fileName      the name of the file containing the dashboard content
     * @param dashboardName the name of the dashboard to be updated
     * @return a {@link CompletableFuture} representing the asynchronous operation, which will complete with a
     * {@link PutDashboardResponse} when the dashboard is successfully updated
     */
    public CompletableFuture<PutDashboardResponse> addMetricToDashboardAsync(String fileName, String dashboardName) {
        String dashboardBody;
        try {
            dashboardBody = readFileAsString(fileName);
        } catch (IOException e) {
            throw new RuntimeException("Failed to read the dashboard file", e);
        }

        PutDashboardRequest dashboardRequest = PutDashboardRequest.builder()
            .dashboardName(dashboardName)
            .dashboardBody(dashboardBody)
            .build();

        return getAsyncClient().putDashboard(dashboardRequest)
            .handle((response, ex) -> {
                if (ex != null) {
                    logger.info("Failed to update dashboard: {}", ex.getMessage());
                    throw new RuntimeException("Error updating dashboard", ex);
                } else {
                    logger.info("{} was successfully updated.", dashboardName);
                    return response;
                }
            });
    }

    /**
     * Creates a new custom metric.
     *
     * @param dataPoint the data point to be added to the custom metric
     * @return a {@link CompletableFuture} representing the asynchronous operation of adding the custom metric
     */
    public CompletableFuture<PutMetricDataResponse> createNewCustomMetricAsync(Double dataPoint) {
        Dimension dimension = Dimension.builder()
            .name("UNIQUE_PAGES")
            .value("URLS")
            .build();

        // Set an Instant object for the current time in UTC.
        String time = ZonedDateTime.now(ZoneOffset.UTC).format(DateTimeFormatter.ISO_INSTANT);
        Instant instant = Instant.parse(time);

        // Create the MetricDatum.
        MetricDatum datum = MetricDatum.builder()
            .metricName("PAGES_VISITED")
            .unit(StandardUnit.NONE)
            .value(dataPoint)
            .timestamp(instant)
            .dimensions(dimension)
            .build();

        PutMetricDataRequest request = PutMetricDataRequest.builder()
            .namespace("SITE/TRAFFIC")
            .metricData(datum)
            .build();

        return getAsyncClient().putMetricData(request)
            .whenComplete((response, ex) -> {
                if (ex != null) {
                    throw new RuntimeException("Error adding custom metric", ex);
                } else {
                    logger.info("Successfully added metric values for PAGES_VISITED.");
                }
            });
    }

    /**
     * Lists the available dashboards.
     *
     * @return a {@link CompletableFuture} that completes when the operation is finished.
     * The future will complete exceptionally if an error occurs while listing the dashboards.
     */
    public CompletableFuture<Void> listDashboardsAsync() {
        ListDashboardsRequest listDashboardsRequest = ListDashboardsRequest.builder().build();
        ListDashboardsPublisher paginator = getAsyncClient().listDashboardsPaginator(listDashboardsRequest);
        return paginator.subscribe(response -> {
            response.dashboardEntries().forEach(entry -> {
                logger.info("Dashboard name is: {} ", entry.dashboardName());
                logger.info("Dashboard ARN is: {} ", entry.dashboardArn());
            });
        }).exceptionally(ex -> {
            logger.info("Failed to list dashboards: {} ", ex.getMessage());
            throw new RuntimeException("Error occurred while listing dashboards", ex);
        });
    }


    /**
     * Creates a new dashboard with the specified name and metrics from the given file.
     *
     * @param dashboardName the name of the dashboard to be created
     * @param fileName      the name of the file containing the dashboard body
     * @return a {@link CompletableFuture} representing the asynchronous operation of creating the dashboard
     * @throws IOException if there is an error reading the dashboard body from the file
     */
    public CompletableFuture<PutDashboardResponse> createDashboardWithMetricsAsync(String dashboardName, String fileName) throws IOException {
        String dashboardBody = readFileAsString(fileName);
        PutDashboardRequest dashboardRequest = PutDashboardRequest.builder()
            .dashboardName(dashboardName)
            .dashboardBody(dashboardBody)
            .build();

        return getAsyncClient().putDashboard(dashboardRequest)
            .handle((response, ex) -> {
                if (ex != null) {
                    logger.info("Failed to create dashboard: {}", ex.getMessage());
                    throw new RuntimeException("Dashboard creation failed", ex);
                } else {
                    // Handle the normal response case
                    logger.info("{} was successfully created.", dashboardName);
                    List<DashboardValidationMessage> messages = response.dashboardValidationMessages();
                    if (messages.isEmpty()) {
                        logger.info("There are no messages in the new Dashboard.");
                    } else {
                        for (DashboardValidationMessage message : messages) {
                            logger.info("Message: {}", message.message());
                        }
                    }
                    return response; // Return the response for further use
                }
            });
    }


    /**
     * Retrieves the metric statistics for the "EstimatedCharges" metric in the "AWS/Billing" namespace.
     *
     * @param costDateWeek the start date for the metric statistics, in the format of an ISO-8601 date string (e.g., "2023-04-05")
     * @return a {@link CompletableFuture} that, when completed, contains the {@link GetMetricStatisticsResponse} with the retrieved metric statistics
     * @throws RuntimeException if the metric statistics cannot be retrieved successfully
     */
    public CompletableFuture<GetMetricStatisticsResponse> getMetricStatisticsAsync(String costDateWeek) {
        Instant start = Instant.parse(costDateWeek);
        Instant endDate = Instant.now();

        // Define dimension
        Dimension dimension = Dimension.builder()
            .name("Currency")
            .value("USD")
            .build();

        List<Dimension> dimensionList = new ArrayList<>();
        dimensionList.add(dimension);

        GetMetricStatisticsRequest statisticsRequest = GetMetricStatisticsRequest.builder()
            .metricName("EstimatedCharges")
            .namespace("AWS/Billing")
            .dimensions(dimensionList)
            .statistics(Statistic.MAXIMUM)
            .startTime(start)
            .endTime(endDate)
            .period(86400) // One day period
            .build();

        return getAsyncClient().getMetricStatistics(statisticsRequest)
            .whenComplete((response, exception) -> {
                if (response != null) {
                    List<Datapoint> data = response.datapoints();
                    if (!data.isEmpty()) {
                        for (Datapoint datapoint : data) {
                            logger.info("Timestamp: {} Maximum value: {})", datapoint.timestamp(), datapoint.maximum());
                        }
                    } else {
                        logger.info("The returned data list is empty");
                    }
                } else {
                    throw new RuntimeException("Failed to get metric statistics: " + exception.getMessage(), exception);
                }
            });
    }


    /**
     * Retrieves and displays metric statistics for the specified parameters.
     *
     * @param nameSpace    the namespace for the metric
     * @param metVal       the name of the metric
     * @param metricOption the statistic to retrieve for the metric (e.g., "Maximum", "Average")
     * @param date         the date for which to retrieve the metric statistics, in the format "yyyy-MM-dd'T'HH:mm:ss'Z'"
     * @param myDimension  the dimension(s) to filter the metric statistics by
     * @return a {@link CompletableFuture} that completes when the metric statistics have been retrieved and displayed
     */
    public CompletableFuture<GetMetricStatisticsResponse> getAndDisplayMetricStatisticsAsync(String nameSpace, String metVal,
                                                                                             String metricOption, String date, Dimension myDimension) {

        Instant start = Instant.parse(date);
        Instant endDate = Instant.now();

        // Building the request for metric statistics.
        GetMetricStatisticsRequest statisticsRequest = GetMetricStatisticsRequest.builder()
            .endTime(endDate)
            .startTime(start)
            .dimensions(myDimension)
            .metricName(metVal)
            .namespace(nameSpace)
            .period(86400) // 1 day period
            .statistics(Statistic.fromValue(metricOption))
            .build();

        return getAsyncClient().getMetricStatistics(statisticsRequest)
            .whenComplete((response, exception) -> {
                if (response != null) {
                    List<Datapoint> data = response.datapoints();
                    if (!data.isEmpty()) {
                        for (Datapoint datapoint : data) {
                            logger.info("Timestamp: {} Maximum value: {}", datapoint.timestamp(), datapoint.maximum());
                        }
                    } else {
                        logger.info("The returned data list is empty");
                    }
                } else {
                    logger.info("Failed to get metric statistics: {} ", exception.getMessage());
                }
            })
            .exceptionally(exception -> {
                throw new RuntimeException("Error while getting metric statistics: " + exception.getMessage(), exception);
            });
    }


    /**
     * Retrieves a list of metric names for the specified namespace.
     *
     * @param namespace the namespace for which to retrieve the metric names
     * @return a {@link CompletableFuture} that, when completed, contains an {@link ArrayList} of
     * the metric names in the specified namespace
     * @throws RuntimeException if an error occurs while listing the metrics
     */
    public CompletableFuture<ArrayList<String>> listMetsAsync(String namespace) {
        ListMetricsRequest request = ListMetricsRequest.builder()
            .namespace(namespace)
            .build();

        ListMetricsPublisher metricsPaginator = getAsyncClient().listMetricsPaginator(request);
        Set<String> metSet = new HashSet<>();
        CompletableFuture<Void> future = metricsPaginator.subscribe(response -> {
            response.metrics().forEach(metric -> {
                String metricName = metric.metricName();
                metSet.add(metricName);
            });
        });

        return future
            .thenApply(ignored -> new ArrayList<>(metSet))
            .exceptionally(exception -> {
                throw new RuntimeException("Failed to list metrics: " + exception.getMessage(), exception);
            });
    }

    /**
     * Lists the available namespaces for the current AWS account.
     *
     * @return a {@link CompletableFuture} that, when completed, contains an {@link ArrayList} of the available namespace names.
     * @throws RuntimeException if an error occurs while listing the namespaces.
     */
    public CompletableFuture<ArrayList<String>> listNameSpacesAsync() {
        ArrayList<String> nameSpaceList = new ArrayList<>();
        ListMetricsRequest request = ListMetricsRequest.builder().build();

        ListMetricsPublisher metricsPaginator = getAsyncClient().listMetricsPaginator(request);
        CompletableFuture<Void> future = metricsPaginator.subscribe(response -> {
            response.metrics().forEach(metric -> {
                String namespace = metric.namespace();
                if (!nameSpaceList.contains(namespace)) {
                    nameSpaceList.add(namespace);
                }
            });
        });

        return future
            .thenApply(ignored -> nameSpaceList)
            .exceptionally(exception -> {
                throw new RuntimeException("Failed to list namespaces: " + exception.getMessage(), exception);
            });
    }
    /**
     * Retrieves the specific metric asynchronously.
     *
     * @param namespace the namespace of the metric to retrieve
     * @return a CompletableFuture that completes with the first dimension of the first metric found in the specified namespace,
     * or throws a RuntimeException if an error occurs or no metrics or dimensions are found
     */
    public CompletableFuture<Dimension> getSpecificMetAsync(String namespace) {
        ListMetricsRequest request = ListMetricsRequest.builder()
            .namespace(namespace)
            .build();

        return getAsyncClient().listMetrics(request).handle((response, exception) -> {
            if (exception != null) {
                logger.info("Error occurred while listing metrics: {} ", exception.getMessage());
                throw new RuntimeException("Failed to retrieve specific metric dimension", exception);
            } else {
                List<Metric> myList = response.metrics();
                if (!myList.isEmpty()) {
                    Metric metric = myList.get(0);
                    if (!metric.dimensions().isEmpty()) {
                        return metric.dimensions().get(0); // Return the first dimension
                    }
                }
                throw new RuntimeException("No metrics or dimensions found");
            }
        });
    }

    public static String readFileAsString(String file) throws IOException {
        return new String(Files.readAllBytes(Paths.get(file)));
    }
}
```
+ Para obtener detalles sobre la API, consulte los siguientes temas en la *Referencia de la API de AWS SDK for Java 2.x *.
  + [DeleteAlarms](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DeleteAlarms)
  + [DeleteAnomalyDetector](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DeleteAnomalyDetector)
  + [DeleteDashboards](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DeleteDashboards)
  + [DescribeAlarmHistory](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAlarmHistory)
  + [DescribeAlarms](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAlarms)
  + [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAlarmsForMetric)
  + [DescribeAnomalyDetectors](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAnomalyDetectors)
  + [GetMetricData](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/GetMetricData)
  + [GetMetricStatistics](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/GetMetricStatistics)
  + [GetMetricWidgetImage](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/GetMetricWidgetImage)
  + [ListMetrics](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/ListMetrics)
  + [PutAnomalyDetector](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutAnomalyDetector)
  + [PutDashboard](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutDashboard)
  + [PutMetricAlarm](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutMetricAlarm)
  + [PutMetricData](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutMetricData)

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 
Ejecute un escenario interactivo que demuestre CloudWatch las funciones.  

```
/**
 Before running this Kotlin code example, set up your development environment,
 including your credentials.

 For more information, see the following documentation topic:
 https://docs.aws.amazon.com/sdk-for-kotlin/latest/developer-guide/setup.html

 To enable billing metrics and statistics for this example, make sure billing alerts are enabled for your account:
 https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/monitor_estimated_charges_with_cloudwatch.html#turning_on_billing_metrics

 This Kotlin code example performs the following tasks:

 1. List available namespaces from Amazon CloudWatch. Select a namespace from the list.
 2. List available metrics within the selected namespace.
 3. Get statistics for the selected metric over the last day.
 4. Get CloudWatch estimated billing for the last week.
 5. Create a new CloudWatch dashboard with metrics.
 6. List dashboards using a paginator.
 7. Create a new custom metric by adding data for it.
 8. Add the custom metric to the dashboard.
 9. Create an alarm for the custom metric.
 10. Describe current alarms.
 11. Get current data for the new custom metric.
 12. Push data into the custom metric to trigger the alarm.
 13. Check the alarm state using the action DescribeAlarmsForMetric.
 14. Get alarm history for the new alarm.
 15. Add an anomaly detector for the custom metric.
 16. Describe current anomaly detectors.
 17. Get a metric image for the custom metric.
 18. Clean up the Amazon CloudWatch resources.
 */

val DASHES: String? = String(CharArray(80)).replace("\u0000", "-")

suspend fun main(args: Array<String>) {
    val usage = """
        Usage:
            <myDate> <costDateWeek> <dashboardName> <dashboardJson> <dashboardAdd> <settings> <metricImage>  

        Where:
            myDate - The start date to use to get metric statistics. (For example, 2023-01-11T18:35:24.00Z.) 
            costDateWeek - The start date to use to get AWS Billing and Cost Management statistics. (For example, 2023-01-11T18:35:24.00Z.) 
            dashboardName - The name of the dashboard to create. 
            dashboardJson - The location of a JSON file to use to create a dashboard. (See Readme file.) 
            dashboardAdd - The location of a JSON file to use to update a dashboard. (See Readme file.) 
            settings - The location of a JSON file from which various values are read. (See Readme file.) 
            metricImage - The location of a BMP file that is used to create a graph. 
    """

    if (args.size != 7) {
        println(usage)
        System.exit(1)
    }

    val myDate = args[0]
    val costDateWeek = args[1]
    val dashboardName = args[2]
    val dashboardJson = args[3]
    val dashboardAdd = args[4]
    val settings = args[5]
    var metricImage = args[6]
    val dataPoint = "10.0".toDouble()
    val inOb = Scanner(System.`in`)

    println(DASHES)
    println("Welcome to the Amazon CloudWatch example scenario.")
    println(DASHES)

    println(DASHES)
    println("1. List at least five available unique namespaces from Amazon CloudWatch. Select a CloudWatch namespace from the list.")
    val list: ArrayList<String> = listNameSpaces()
    for (z in 0..4) {
        println("    ${z + 1}. ${list[z]}")
    }

    var selectedNamespace: String
    var selectedMetrics = ""
    var num = inOb.nextLine().toInt()
    println("You selected $num")

    if (1 <= num && num <= 5) {
        selectedNamespace = list[num - 1]
    } else {
        println("You did not select a valid option.")
        exitProcess(1)
    }
    println("You selected $selectedNamespace")
    println(DASHES)

    println(DASHES)
    println("2. List available metrics within the selected namespace and select one from the list.")
    val metList = listMets(selectedNamespace)
    for (z in 0..4) {
        println("    ${ z + 1}. ${metList?.get(z)}")
    }
    num = inOb.nextLine().toInt()
    if (1 <= num && num <= 5) {
        selectedMetrics = metList!![num - 1]
    } else {
        println("You did not select a valid option.")
        System.exit(1)
    }
    println("You selected $selectedMetrics")
    val myDimension = getSpecificMet(selectedNamespace)
    if (myDimension == null) {
        println("Error - Dimension is null")
        exitProcess(1)
    }
    println(DASHES)

    println(DASHES)
    println("3. Get statistics for the selected metric over the last day.")
    val metricOption: String
    val statTypes = ArrayList<String>()
    statTypes.add("SampleCount")
    statTypes.add("Average")
    statTypes.add("Sum")
    statTypes.add("Minimum")
    statTypes.add("Maximum")

    for (t in 0..4) {
        println("    ${t + 1}. ${statTypes[t]}")
    }
    println("Select a metric statistic by entering a number from the preceding list:")
    num = inOb.nextLine().toInt()
    if (1 <= num && num <= 5) {
        metricOption = statTypes[num - 1]
    } else {
        println("You did not select a valid option.")
        exitProcess(1)
    }
    println("You selected $metricOption")
    getAndDisplayMetricStatistics(selectedNamespace, selectedMetrics, metricOption, myDate, myDimension)
    println(DASHES)

    println(DASHES)
    println("4. Get CloudWatch estimated billing for the last week.")
    getMetricStatistics(costDateWeek)
    println(DASHES)

    println(DASHES)
    println("5. Create a new CloudWatch dashboard with metrics.")
    createDashboardWithMetrics(dashboardName, dashboardJson)
    println(DASHES)

    println(DASHES)
    println("6. List dashboards using a paginator.")
    listDashboards()
    println(DASHES)

    println(DASHES)
    println("7. Create a new custom metric by adding data to it.")
    createNewCustomMetric(dataPoint)
    println(DASHES)

    println(DASHES)
    println("8. Add an additional metric to the dashboard.")
    addMetricToDashboard(dashboardAdd, dashboardName)
    println(DASHES)

    println(DASHES)
    println("9. Create an alarm for the custom metric.")
    val alarmName: String = createAlarm(settings)
    println(DASHES)

    println(DASHES)
    println("10. Describe 10 current alarms.")
    describeAlarms()
    println(DASHES)

    println(DASHES)
    println("11. Get current data for the new custom metric.")
    getCustomMetricData(settings)
    println(DASHES)

    println(DASHES)
    println("12. Push data into the custom metric to trigger the alarm.")
    addMetricDataForAlarm(settings)
    println(DASHES)

    println(DASHES)
    println("13. Check the alarm state using the action DescribeAlarmsForMetric.")
    checkForMetricAlarm(settings)
    println(DASHES)

    println(DASHES)
    println("14. Get alarm history for the new alarm.")
    getAlarmHistory(settings, myDate)
    println(DASHES)

    println(DASHES)
    println("15. Add an anomaly detector for the custom metric.")
    addAnomalyDetector(settings)
    println(DASHES)

    println(DASHES)
    println("16. Describe current anomaly detectors.")
    describeAnomalyDetectors(settings)
    println(DASHES)

    println(DASHES)
    println("17. Get a metric image for the custom metric.")
    getAndOpenMetricImage(metricImage)
    println(DASHES)

    println(DASHES)
    println("18. Clean up the Amazon CloudWatch resources.")
    deleteDashboard(dashboardName)
    deleteAlarm(alarmName)
    deleteAnomalyDetector(settings)
    println(DASHES)

    println(DASHES)
    println("The Amazon CloudWatch example scenario is complete.")
    println(DASHES)
}

suspend fun deleteAnomalyDetector(fileName: String) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    val singleMetricAnomalyDetectorVal =
        SingleMetricAnomalyDetector {
            metricName = customMetricName
            namespace = customMetricNamespace
            stat = "Maximum"
        }

    val request =
        DeleteAnomalyDetectorRequest {
            singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.deleteAnomalyDetector(request)
        println("Successfully deleted the Anomaly Detector.")
    }
}

suspend fun deleteAlarm(alarmNameVal: String) {
    val request =
        DeleteAlarmsRequest {
            alarmNames = listOf(alarmNameVal)
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.deleteAlarms(request)
        println("Successfully deleted alarm $alarmNameVal")
    }
}

suspend fun deleteDashboard(dashboardName: String) {
    val dashboardsRequest =
        DeleteDashboardsRequest {
            dashboardNames = listOf(dashboardName)
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.deleteDashboards(dashboardsRequest)
        println("$dashboardName was successfully deleted.")
    }
}

suspend fun getAndOpenMetricImage(fileName: String) {
    println("Getting Image data for custom metric.")
    val myJSON = """{
        "title": "Example Metric Graph",
        "view": "timeSeries",
        "stacked ": false,
        "period": 10,
        "width": 1400,
        "height": 600,
        "metrics": [
            [
            "AWS/Billing",
            "EstimatedCharges",
            "Currency",
            "USD"
            ]
        ]
        }"""

    val imageRequest =
        GetMetricWidgetImageRequest {
            metricWidget = myJSON
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.getMetricWidgetImage(imageRequest)
        val bytes = response.metricWidgetImage
        if (bytes != null) {
            File(fileName).writeBytes(bytes)
        }
    }
    println("You have successfully written data to $fileName")
}

suspend fun describeAnomalyDetectors(fileName: String) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    val detectorsRequest =
        DescribeAnomalyDetectorsRequest {
            maxResults = 10
            metricName = customMetricName
            namespace = customMetricNamespace
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.describeAnomalyDetectors(detectorsRequest)
        response.anomalyDetectors?.forEach { detector ->
            println("Metric name: ${detector.singleMetricAnomalyDetector?.metricName}")
            println("State: ${detector.stateValue}")
        }
    }
}

suspend fun addAnomalyDetector(fileName: String?) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    val singleMetricAnomalyDetectorVal =
        SingleMetricAnomalyDetector {
            metricName = customMetricName
            namespace = customMetricNamespace
            stat = "Maximum"
        }

    val anomalyDetectorRequest =
        PutAnomalyDetectorRequest {
            singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putAnomalyDetector(anomalyDetectorRequest)
        println("Added anomaly detector for metric $customMetricName.")
    }
}

suspend fun getAlarmHistory(
    fileName: String,
    date: String,
) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val alarmNameVal = rootNode.findValue("exampleAlarmName").asText()
    val start = Instant.parse(date)
    val endDateVal = Instant.now()

    val historyRequest =
        DescribeAlarmHistoryRequest {
            startDate =
                aws.smithy.kotlin.runtime.time
                    .Instant(start)
            endDate =
                aws.smithy.kotlin.runtime.time
                    .Instant(endDateVal)
            alarmName = alarmNameVal
            historyItemType = HistoryItemType.Action
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.describeAlarmHistory(historyRequest)
        val historyItems = response.alarmHistoryItems
        if (historyItems != null) {
            if (historyItems.isEmpty()) {
                println("No alarm history data found for $alarmNameVal.")
            } else {
                for (item in historyItems) {
                    println("History summary ${item.historySummary}")
                    println("Time stamp: ${item.timestamp}")
                }
            }
        }
    }
}

suspend fun checkForMetricAlarm(fileName: String?) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()
    var hasAlarm = false
    var retries = 10

    val metricRequest =
        DescribeAlarmsForMetricRequest {
            metricName = customMetricName
            namespace = customMetricNamespace
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        while (!hasAlarm && retries > 0) {
            val response = cwClient.describeAlarmsForMetric(metricRequest)
            if (response.metricAlarms?.count()!! > 0) {
                hasAlarm = true
            }
            retries--
            delay(20000)
            println(".")
        }
        if (!hasAlarm) {
            println("No Alarm state found for $customMetricName after 10 retries.")
        } else {
            println("Alarm state found for $customMetricName.")
        }
    }
}

suspend fun addMetricDataForAlarm(fileName: String?) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    // Set an Instant object.
    val time = ZonedDateTime.now(ZoneOffset.UTC).format(DateTimeFormatter.ISO_INSTANT)
    val instant = Instant.parse(time)
    val datum =
        MetricDatum {
            metricName = customMetricName
            unit = StandardUnit.None
            value = 1001.00
            timestamp =
                aws.smithy.kotlin.runtime.time
                    .Instant(instant)
        }

    val datum2 =
        MetricDatum {
            metricName = customMetricName
            unit = StandardUnit.None
            value = 1002.00
            timestamp =
                aws.smithy.kotlin.runtime.time
                    .Instant(instant)
        }

    val metricDataList = ArrayList<MetricDatum>()
    metricDataList.add(datum)
    metricDataList.add(datum2)

    val request =
        PutMetricDataRequest {
            namespace = customMetricNamespace
            metricData = metricDataList
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putMetricData(request)
        println("Added metric values for for metric $customMetricName")
    }
}

suspend fun getCustomMetricData(fileName: String) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    // Set the date.
    val nowDate = Instant.now()
    val hours: Long = 1
    val minutes: Long = 30
    val date2 =
        nowDate.plus(hours, ChronoUnit.HOURS).plus(
            minutes,
            ChronoUnit.MINUTES,
        )

    val met =
        Metric {
            metricName = customMetricName
            namespace = customMetricNamespace
        }

    val metStat =
        MetricStat {
            stat = "Maximum"
            period = 1
            metric = met
        }

    val dataQUery =
        MetricDataQuery {
            metricStat = metStat
            id = "foo2"
            returnData = true
        }

    val dq = ArrayList<MetricDataQuery>()
    dq.add(dataQUery)
    val getMetReq =
        GetMetricDataRequest {
            maxDatapoints = 10
            scanBy = ScanBy.TimestampDescending
            startTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(nowDate)
            endTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(date2)
            metricDataQueries = dq
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.getMetricData(getMetReq)
        response.metricDataResults?.forEach { item ->
            println("The label is ${item.label}")
            println("The status code is ${item.statusCode}")
        }
    }
}

suspend fun describeAlarms() {
    val typeList = ArrayList<AlarmType>()
    typeList.add(AlarmType.MetricAlarm)
    val alarmsRequest =
        DescribeAlarmsRequest {
            alarmTypes = typeList
            maxRecords = 10
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.describeAlarms(alarmsRequest)
        response.metricAlarms?.forEach { alarm ->
            println("Alarm name: ${alarm.alarmName}")
            println("Alarm description: ${alarm.alarmDescription}")
        }
    }
}

suspend fun createAlarm(fileName: String): String {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode: JsonNode = ObjectMapper().readTree(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()
    val alarmNameVal = rootNode.findValue("exampleAlarmName").asText()
    val emailTopic = rootNode.findValue("emailTopic").asText()
    val accountId = rootNode.findValue("accountId").asText()
    val region2 = rootNode.findValue("region").asText()

    // Create a List for alarm actions.
    val alarmActionObs: MutableList<String> = ArrayList()
    alarmActionObs.add("arn:aws:sns:$region2:$accountId:$emailTopic")
    val alarmRequest =
        PutMetricAlarmRequest {
            alarmActions = alarmActionObs
            alarmDescription = "Example metric alarm"
            alarmName = alarmNameVal
            comparisonOperator = ComparisonOperator.GreaterThanOrEqualToThreshold
            threshold = 100.00
            metricName = customMetricName
            namespace = customMetricNamespace
            evaluationPeriods = 1
            period = 10
            statistic = Statistic.Maximum
            datapointsToAlarm = 1
            treatMissingData = "ignore"
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putMetricAlarm(alarmRequest)
        println("$alarmNameVal was successfully created!")
        return alarmNameVal
    }
}

suspend fun addMetricToDashboard(
    fileNameVal: String,
    dashboardNameVal: String,
) {
    val dashboardRequest =
        PutDashboardRequest {
            dashboardName = dashboardNameVal
            dashboardBody = readFileAsString(fileNameVal)
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putDashboard(dashboardRequest)
        println("$dashboardNameVal was successfully updated.")
    }
}

suspend fun createNewCustomMetric(dataPoint: Double) {
    val dimension =
        Dimension {
            name = "UNIQUE_PAGES"
            value = "URLS"
        }

    // Set an Instant object.
    val time = ZonedDateTime.now(ZoneOffset.UTC).format(DateTimeFormatter.ISO_INSTANT)
    val instant = Instant.parse(time)
    val datum =
        MetricDatum {
            metricName = "PAGES_VISITED"
            unit = StandardUnit.None
            value = dataPoint
            timestamp =
                aws.smithy.kotlin.runtime.time
                    .Instant(instant)
            dimensions = listOf(dimension)
        }

    val request =
        PutMetricDataRequest {
            namespace = "SITE/TRAFFIC"
            metricData = listOf(datum)
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putMetricData(request)
        println("Added metric values for for metric PAGES_VISITED")
    }
}

suspend fun listDashboards() {
    CloudWatchClient { region = "us-east-1" }.use { cwClient ->
        cwClient
            .listDashboardsPaginated({})
            .transform { it.dashboardEntries?.forEach { obj -> emit(obj) } }
            .collect { obj ->
                println("Name is ${obj.dashboardName}")
                println("Dashboard ARN is ${obj.dashboardArn}")
            }
    }
}

suspend fun createDashboardWithMetrics(
    dashboardNameVal: String,
    fileNameVal: String,
) {
    val dashboardRequest =
        PutDashboardRequest {
            dashboardName = dashboardNameVal
            dashboardBody = readFileAsString(fileNameVal)
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.putDashboard(dashboardRequest)
        println("$dashboardNameVal was successfully created.")
        val messages = response.dashboardValidationMessages
        if (messages != null) {
            if (messages.isEmpty()) {
                println("There are no messages in the new Dashboard")
            } else {
                for (message in messages) {
                    println("Message is: ${message.message}")
                }
            }
        }
    }
}

fun readFileAsString(file: String): String = String(Files.readAllBytes(Paths.get(file)))

suspend fun getMetricStatistics(costDateWeek: String?) {
    val start = Instant.parse(costDateWeek)
    val endDate = Instant.now()
    val dimension =
        Dimension {
            name = "Currency"
            value = "USD"
        }

    val dimensionList: MutableList<Dimension> = ArrayList()
    dimensionList.add(dimension)

    val statisticsRequest =
        GetMetricStatisticsRequest {
            metricName = "EstimatedCharges"
            namespace = "AWS/Billing"
            dimensions = dimensionList
            statistics = listOf(Statistic.Maximum)
            startTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(start)
            endTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(endDate)
            period = 86400
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.getMetricStatistics(statisticsRequest)
        val data: List<Datapoint>? = response.datapoints
        if (data != null) {
            if (!data.isEmpty()) {
                for (datapoint in data) {
                    println("Timestamp:  ${datapoint.timestamp} Maximum value: ${datapoint.maximum}")
                }
            } else {
                println("The returned data list is empty")
            }
        }
    }
}

suspend fun getAndDisplayMetricStatistics(
    nameSpaceVal: String,
    metVal: String,
    metricOption: String,
    date: String,
    myDimension: Dimension,
) {
    val start = Instant.parse(date)
    val endDate = Instant.now()
    val statisticsRequest =
        GetMetricStatisticsRequest {
            endTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(endDate)
            startTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(start)
            dimensions = listOf(myDimension)
            metricName = metVal
            namespace = nameSpaceVal
            period = 86400
            statistics = listOf(Statistic.fromValue(metricOption))
        }

    CloudWatchClient { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.getMetricStatistics(statisticsRequest)
        val data = response.datapoints
        if (data != null) {
            if (data.isNotEmpty()) {
                for (datapoint in data) {
                    println("Timestamp: ${datapoint.timestamp} Maximum value: ${datapoint.maximum}")
                }
            } else {
                println("The returned data list is empty")
            }
        }
    }
}

suspend fun listMets(namespaceVal: String?): ArrayList<String>? {
    val metList = ArrayList<String>()
    val request =
        ListMetricsRequest {
            namespace = namespaceVal
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val reponse = cwClient.listMetrics(request)
        reponse.metrics?.forEach { metrics ->
            val data = metrics.metricName
            if (!metList.contains(data)) {
                metList.add(data!!)
            }
        }
    }
    return metList
}

suspend fun getSpecificMet(namespaceVal: String?): Dimension? {
    val request =
        ListMetricsRequest {
            namespace = namespaceVal
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.listMetrics(request)
        val myList = response.metrics
        if (myList != null) {
            return myList[0].dimensions?.get(0)
        }
    }
    return null
}

suspend fun listNameSpaces(): ArrayList<String> {
    val nameSpaceList = ArrayList<String>()
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.listMetrics(ListMetricsRequest {})
        response.metrics?.forEach { metrics ->
            val data = metrics.namespace
            if (!nameSpaceList.contains(data)) {
                nameSpaceList.add(data!!)
            }
        }
    }
    return nameSpaceList
}
```
+ Para obtener detalles sobre la API, consulte los siguientes temas en la *Referencia de la API de AWS SDK para Kotlin*.
  + [DeleteAlarms](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [DeleteAnomalyDetector](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [DeleteDashboards](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [DescribeAlarmHistory](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [DescribeAlarms](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [DescribeAlarmsForMetric](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [DescribeAnomalyDetectors](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [GetMetricData](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [GetMetricStatistics](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [GetMetricWidgetImage](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [ListMetrics](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [PutAnomalyDetector](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [PutDashboard](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [PutMetricAlarm](https://sdk.amazonaws.com/kotlin/api/latest/index.html)
  + [PutMetricData](https://sdk.amazonaws.com/kotlin/api/latest/index.html)

------

# Acciones de CloudWatch uso AWS SDKs
<a name="cloudwatch_code_examples_actions"></a>

Los siguientes ejemplos de código muestran cómo realizar CloudWatch acciones individuales con AWS SDKs. Cada ejemplo incluye un enlace a GitHub, donde puede encontrar instrucciones para configurar y ejecutar el código. 

Estos extractos se denominan CloudWatch API y son fragmentos de código de programas más grandes que deben ejecutarse en su contexto. Puede ver las acciones en contexto en [Escenarios de uso CloudWatch AWS SDKs](cloudwatch_code_examples_scenarios.md). 

 Los siguientes ejemplos incluyen solo las acciones que se utilizan con mayor frecuencia. Para obtener una lista completa, consulta la [referencia de las CloudWatch API de Amazon](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/Welcome.html). 

**Topics**
+ [`DeleteAlarms`](cloudwatch_example_cloudwatch_DeleteAlarms_section.md)
+ [`DeleteAnomalyDetector`](cloudwatch_example_cloudwatch_DeleteAnomalyDetector_section.md)
+ [`DeleteDashboards`](cloudwatch_example_cloudwatch_DeleteDashboards_section.md)
+ [`DescribeAlarmHistory`](cloudwatch_example_cloudwatch_DescribeAlarmHistory_section.md)
+ [`DescribeAlarms`](cloudwatch_example_cloudwatch_DescribeAlarms_section.md)
+ [`DescribeAlarmsForMetric`](cloudwatch_example_cloudwatch_DescribeAlarmsForMetric_section.md)
+ [`DescribeAnomalyDetectors`](cloudwatch_example_cloudwatch_DescribeAnomalyDetectors_section.md)
+ [`DisableAlarmActions`](cloudwatch_example_cloudwatch_DisableAlarmActions_section.md)
+ [`EnableAlarmActions`](cloudwatch_example_cloudwatch_EnableAlarmActions_section.md)
+ [`GetDashboard`](cloudwatch_example_cloudwatch_GetDashboard_section.md)
+ [`GetMetricData`](cloudwatch_example_cloudwatch_GetMetricData_section.md)
+ [`GetMetricStatistics`](cloudwatch_example_cloudwatch_GetMetricStatistics_section.md)
+ [`GetMetricWidgetImage`](cloudwatch_example_cloudwatch_GetMetricWidgetImage_section.md)
+ [`ListDashboards`](cloudwatch_example_cloudwatch_ListDashboards_section.md)
+ [`ListMetrics`](cloudwatch_example_cloudwatch_ListMetrics_section.md)
+ [`PutAnomalyDetector`](cloudwatch_example_cloudwatch_PutAnomalyDetector_section.md)
+ [`PutDashboard`](cloudwatch_example_cloudwatch_PutDashboard_section.md)
+ [`PutMetricAlarm`](cloudwatch_example_cloudwatch_PutMetricAlarm_section.md)
+ [`PutMetricData`](cloudwatch_example_cloudwatch_PutMetricData_section.md)

# Úselo `DeleteAlarms` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_DeleteAlarms_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `DeleteAlarms`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en los siguientes ejemplos de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 
+  [Primeros pasos para usar alarmas](cloudwatch_example_cloudwatch_Scenario_GettingStarted_section.md) 
+  [Gestionar métricas y alarmas](cloudwatch_example_cloudwatch_Usage_MetricsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Delete a list of alarms from CloudWatch.
    /// </summary>
    /// <param name="alarmNames">A list of names of alarms to delete.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> DeleteAlarms(List<string> alarmNames)
    {
        var deleteAlarmsResult = await _amazonCloudWatch.DeleteAlarmsAsync(
            new DeleteAlarmsRequest()
            {
                AlarmNames = alarmNames
            });

        return deleteAlarmsResult.HttpStatusCode == HttpStatusCode.OK;
    }
```
+  Para obtener más información sobre la API, consulta [DeleteAlarms](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DeleteAlarms)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ C\$1\$1 ]

**SDK para C\$1\$1**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/cloudwatch#code-examples). 
Incluir los archivos requeridos.  

```
#include <aws/core/Aws.h>
#include <aws/monitoring/CloudWatchClient.h>
#include <aws/monitoring/model/DeleteAlarmsRequest.h>
#include <iostream>
```
Elimine la alarma.  

```
        Aws::CloudWatch::CloudWatchClient cw;
        Aws::CloudWatch::Model::DeleteAlarmsRequest request;
        request.AddAlarmNames(alarm_name);

        auto outcome = cw.DeleteAlarms(request);
        if (!outcome.IsSuccess())
        {
            std::cout << "Failed to delete CloudWatch alarm:" <<
                outcome.GetError().GetMessage() << std::endl;
        }
        else
        {
            std::cout << "Successfully deleted CloudWatch alarm " << alarm_name
                << std::endl;
        }
```
+  Para obtener más información sobre la API, consulta [DeleteAlarms](https://docs.aws.amazon.com/goto/SdkForCpp/monitoring-2010-08-01/DeleteAlarms)la *Referencia AWS SDK para C\$1\$1 de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Eliminación de una alarma**  
En el siguiente ejemplo, se utiliza el `delete-alarms` comando para eliminar la CloudWatch alarma de Amazon denominada «myalarm»:  

```
aws cloudwatch delete-alarms --alarm-names myalarm
```
Salida:  

```
This command returns to the prompt if successful.
```
+  Para obtener más información sobre la API, consulte [DeleteAlarms](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/delete-alarms.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Deletes a CloudWatch alarm.
     *
     * @param alarmName the name of the alarm to be deleted
     * @return a {@link CompletableFuture} representing the asynchronous operation to delete the alarm
     * the {@link DeleteAlarmsResponse} is returned when the operation completes successfully,
     * or a {@link RuntimeException} is thrown if the operation fails
     */
    public CompletableFuture<DeleteAlarmsResponse> deleteCWAlarmAsync(String alarmName) {
        DeleteAlarmsRequest request = DeleteAlarmsRequest.builder()
            .alarmNames(alarmName)
            .build();

        return getAsyncClient().deleteAlarms(request)
            .whenComplete((response, exception) -> {
                if (exception != null) {
                    throw new RuntimeException("Failed to delete the alarm:{} " + alarmName, exception);
                } else {
                    logger.info("Successfully deleted alarm {} ", alarmName);
                }
            });
    }
```
+  Para obtener más información sobre la API, consulta [DeleteAlarms](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DeleteAlarms)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ JavaScript ]

**SDK para JavaScript (v3)**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples). 
Importar el SDK y los módulos de cliente, y llamar a la API.  

```
import { DeleteAlarmsCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new DeleteAlarmsCommand({
    AlarmNames: [process.env.CLOUDWATCH_ALARM_NAME], // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
Cree el cliente en un módulo separado y expórtelo.  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-deleting). 
+  Para obtener más información sobre la API, consulta [DeleteAlarms](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/DeleteAlarmsCommand)la *Referencia AWS SDK para JavaScript de la API*. 

**SDK para JavaScript (v2)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/cloudwatch#code-examples). 
Importe el SDK y los módulos cliente, y llame a la API.  

```
// Load the AWS SDK for Node.js
var AWS = require("aws-sdk");
// Set the region
AWS.config.update({ region: "REGION" });

// Create CloudWatch service object
var cw = new AWS.CloudWatch({ apiVersion: "2010-08-01" });

var params = {
  AlarmNames: ["Web_Server_CPU_Utilization"],
};

cw.deleteAlarms(params, function (err, data) {
  if (err) {
    console.log("Error", err);
  } else {
    console.log("Success", data);
  }
});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-deleting). 
+  Para obtener más información sobre la API, consulta [DeleteAlarms](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/monitoring-2010-08-01/DeleteAlarms)la *Referencia AWS SDK para JavaScript de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun deleteAlarm(alarmNameVal: String) {
    val request =
        DeleteAlarmsRequest {
            alarmNames = listOf(alarmNameVal)
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.deleteAlarms(request)
        println("Successfully deleted alarm $alarmNameVal")
    }
}
```
+  Para obtener más información sobre la API, consulta [DeleteAlarms](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ Python ]

**SDK para Python (Boto3)**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples). 

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def delete_metric_alarms(self, metric_namespace, metric_name):
        """
        Deletes all of the alarms that are currently watching the specified metric.

        :param metric_namespace: The namespace of the metric.
        :param metric_name: The name of the metric.
        """
        try:
            metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
            metric.alarms.delete()
            logger.info(
                "Deleted alarms for metric %s.%s.", metric_namespace, metric_name
            )
        except ClientError:
            logger.exception(
                "Couldn't delete alarms for metric %s.%s.",
                metric_namespace,
                metric_name,
            )
            raise
```
+  Para obtener más información sobre la API, consulta [DeleteAlarms](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DeleteAlarms)la *AWS Referencia de API de SDK for Python (Boto3*). 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    TRY.
        lo_cwt->deletealarms(
          it_alarmnames = it_alarm_names ).
        MESSAGE 'Alarms deleted.' TYPE 'I'.
      CATCH /aws1/cx_cwtresourcenotfound.
        MESSAGE 'Resource being accessed is not found.' TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [DeleteAlarms](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la *referencia sobre la API ABAP del AWS SDK para SAP*. 

------

# Úselo `DeleteAnomalyDetector` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_DeleteAnomalyDetector_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `DeleteAnomalyDetector`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Delete a single metric anomaly detector.
    /// </summary>
    /// <param name="anomalyDetector">The anomaly detector to delete.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> DeleteAnomalyDetector(SingleMetricAnomalyDetector anomalyDetector)
    {
        var deleteAnomalyDetectorResponse = await _amazonCloudWatch.DeleteAnomalyDetectorAsync(
            new DeleteAnomalyDetectorRequest()
            {
                SingleMetricAnomalyDetector = anomalyDetector
            });

        return deleteAnomalyDetectorResponse.HttpStatusCode == HttpStatusCode.OK;
    }
```
+  Para obtener más información sobre la API, consulta [DeleteAnomalyDetector](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DeleteAnomalyDetector)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Eliminación de un modelo de detección de anomalías especificado**  
En el siguiente ejemplo de `delete-anomaly-detector`, se elimina un modelo de detector de anomalías de la cuenta especificada.  

```
aws cloudwatch delete-anomaly-detector \
    --namespace AWS/Logs \
    --metric-name IncomingBytes \
    --stat SampleCount
```
Este comando no genera ninguna salida.  
Para obtener más información, consulta [Eliminar un modelo de detección de anomalías](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Create_Anomaly_Detection_Alarm.html#Delete_Anomaly_Detection_Model) en la *Guía del CloudWatch usuario de Amazon*.  
+  Para obtener más información sobre la API, consulte [DeleteAnomalyDetector](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/delete-anomaly-detector.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Deletes an Anomaly Detector.
     *
     * @param fileName the name of the file containing the Anomaly Detector configuration
     * @return a CompletableFuture that represents the asynchronous deletion of the Anomaly Detector
     */
    public CompletableFuture<DeleteAnomalyDetectorResponse> deleteAnomalyDetectorAsync(String fileName) {
        CompletableFuture<JsonNode> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                return new ObjectMapper().readTree(parser); // Return the root node
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        return readFileFuture.thenCompose(rootNode -> {
            String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
            String customMetricName = rootNode.findValue("customMetricName").asText();

            SingleMetricAnomalyDetector singleMetricAnomalyDetector = SingleMetricAnomalyDetector.builder()
                .metricName(customMetricName)
                .namespace(customMetricNamespace)
                .stat("Maximum")
                .build();

            DeleteAnomalyDetectorRequest request = DeleteAnomalyDetectorRequest.builder()
                .singleMetricAnomalyDetector(singleMetricAnomalyDetector)
                .build();

            return getAsyncClient().deleteAnomalyDetector(request);
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Failed to delete the Anomaly Detector", exception);
            } else {
                logger.info("Successfully deleted the Anomaly Detector.");
            }
        });
    }
```
+  Para obtener más información sobre la API, consulta [DeleteAnomalyDetector](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DeleteAnomalyDetector)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun deleteAnomalyDetector(fileName: String) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    val singleMetricAnomalyDetectorVal =
        SingleMetricAnomalyDetector {
            metricName = customMetricName
            namespace = customMetricNamespace
            stat = "Maximum"
        }

    val request =
        DeleteAnomalyDetectorRequest {
            singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.deleteAnomalyDetector(request)
        println("Successfully deleted the Anomaly Detector.")
    }
}
```
+  Para obtener más información sobre la API, consulta [DeleteAnomalyDetector](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------

# Úselo `DeleteDashboards` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_DeleteDashboards_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `DeleteDashboards`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Delete a list of CloudWatch dashboards.
    /// </summary>
    /// <param name="dashboardNames">List of dashboard names to delete.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> DeleteDashboards(List<string> dashboardNames)
    {
        var deleteDashboardsResponse = await _amazonCloudWatch.DeleteDashboardsAsync(
            new DeleteDashboardsRequest()
            {
                DashboardNames = dashboardNames
            });

        return deleteDashboardsResponse.HttpStatusCode == HttpStatusCode.OK;
    }
```
+  Para obtener más información sobre la API, consulta [DeleteDashboards](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DeleteDashboards)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Eliminación de paneles especificados**  
En el siguiente ejemplo de `delete-dashboards`, se eliminan dos paneles denominados `Dashboard-A` y `Dashboard-B` de la cuenta especificada.  

```
aws cloudwatch delete-dashboards \
    --dashboard-names Dashboard-A Dashboard-B
```
Este comando no genera ninguna salida.  
Para obtener más información, consulta los [ CloudWatch paneles de Amazon](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Dashboards.html) en la *Guía del CloudWatch usuario de Amazon*.  
+  Para obtener más información sobre la API, consulte [DeleteDashboards](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/delete-dashboards.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Deletes the specified dashboard.
     *
     * @param dashboardName the name of the dashboard to be deleted
     * @return a {@link CompletableFuture} representing the asynchronous operation of deleting the dashboard
     * @throws RuntimeException if the dashboard deletion fails
     */
    public CompletableFuture<DeleteDashboardsResponse> deleteDashboardAsync(String dashboardName) {
        DeleteDashboardsRequest dashboardsRequest = DeleteDashboardsRequest.builder()
            .dashboardNames(dashboardName)
            .build();

        return getAsyncClient().deleteDashboards(dashboardsRequest)
            .whenComplete((response, exception) -> {
                if (exception != null) {
                    throw new RuntimeException("Failed to delete the dashboard: " + dashboardName, exception);
                } else {
                    logger.info("{} was successfully deleted.", dashboardName);
                }
            });
    }
```
+  Para obtener más información sobre la API, consulta [DeleteDashboards](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DeleteDashboards)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun deleteDashboard(dashboardName: String) {
    val dashboardsRequest =
        DeleteDashboardsRequest {
            dashboardNames = listOf(dashboardName)
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.deleteDashboards(dashboardsRequest)
        println("$dashboardName was successfully deleted.")
    }
}
```
+  Para obtener más información sobre la API, consulta [DeleteDashboards](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ PowerShell ]

**Herramientas para la versión PowerShell 4**  
**Ejemplo 1: elimina el panel especificado y lo confirma antes de continuar. Para omitir la confirmación, agregue el modificador -Force al comando.**  

```
Remove-CWDashboard -DashboardName Dashboard1
```
+  Para obtener más información sobre la API, consulte [DeleteDashboards Herramientas de AWS para PowerShell](https://docs.aws.amazon.com/powershell/v4/reference)*Cmdlet Reference (V4)*. 

**Herramientas para la versión 5 PowerShell **  
**Ejemplo 1: elimina el panel especificado y lo confirma antes de continuar. Para omitir la confirmación, agregue el modificador -Force al comando.**  

```
Remove-CWDashboard -DashboardName Dashboard1
```
+  Para obtener más información sobre la API, consulte [DeleteDashboards](https://docs.aws.amazon.com/powershell/v5/reference)la *referencia de Herramientas de AWS para PowerShell cmdlets (*V5). 

------

# Úselo `DescribeAlarmHistory` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_DescribeAlarmHistory_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `DescribeAlarmHistory`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Describe the history of an alarm for a number of days in the past.
    /// </summary>
    /// <param name="alarmName">The name of the alarm.</param>
    /// <param name="historyDays">The number of days in the past.</param>
    /// <returns>The list of alarm history data.</returns>
    public async Task<List<AlarmHistoryItem>> DescribeAlarmHistory(string alarmName, int historyDays)
    {
        List<AlarmHistoryItem> alarmHistory = new List<AlarmHistoryItem>();
        var paginatedAlarmHistory = _amazonCloudWatch.Paginators.DescribeAlarmHistory(
            new DescribeAlarmHistoryRequest()
            {
                AlarmName = alarmName,
                EndDateUtc = DateTime.UtcNow,
                HistoryItemType = HistoryItemType.StateUpdate,
                StartDateUtc = DateTime.UtcNow.AddDays(-historyDays)
            });

        await foreach (var data in paginatedAlarmHistory.AlarmHistoryItems)
        {
            alarmHistory.Add(data);
        }
        return alarmHistory;
    }
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmHistory](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAlarmHistory)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Recuperación del historial de una alarma**  
En el siguiente ejemplo, se utiliza el `describe-alarm-history` comando para recuperar el historial de la CloudWatch alarma de Amazon denominada «myalarm»:  

```
aws cloudwatch describe-alarm-history --alarm-name "myalarm" --history-item-type StateUpdate
```
Salida:  

```
{
    "AlarmHistoryItems": [
        {
            "Timestamp": "2014-04-09T18:59:06.442Z",
            "HistoryItemType": "StateUpdate",
            "AlarmName": "myalarm",
            "HistoryData": "{\"version\":\"1.0\",\"oldState\":{\"stateValue\":\"ALARM\",\"stateReason\":\"testing purposes\"},\"newState\":{\"stateValue\":\"OK\",\"stateReason\":\"Threshold Crossed: 2 datapoints were not greater than the threshold (70.0). The most recent datapoints: [38.958, 40.292].\",\"stateReasonData\":{\"version\":\"1.0\",\"queryDate\":\"2014-04-09T18:59:06.419+0000\",\"startDate\":\"2014-04-09T18:44:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[38.958,40.292],\"threshold\":70.0}}}",
            "HistorySummary": "Alarm updated from ALARM to OK"
        },
        {
            "Timestamp": "2014-04-09T18:59:05.805Z",
            "HistoryItemType": "StateUpdate",
            "AlarmName": "myalarm",
            "HistoryData": "{\"version\":\"1.0\",\"oldState\":{\"stateValue\":\"OK\",\"stateReason\":\"Threshold Crossed: 2 datapoints were not greater than the threshold (70.0). The most recent datapoints: [38.839999999999996, 39.714].\",\"stateReasonData\":{\"version\":\"1.0\",\"queryDate\":\"2014-03-11T22:45:41.569+0000\",\"startDate\":\"2014-03-11T22:30:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[38.839999999999996,39.714],\"threshold\":70.0}},\"newState\":{\"stateValue\":\"ALARM\",\"stateReason\":\"testing purposes\"}}",
            "HistorySummary": "Alarm updated from OK to ALARM"
        }
    ]
}
```
+  Para obtener más información sobre la API, consulte [DescribeAlarmHistory](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/describe-alarm-history.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Retrieves the alarm history for a given alarm name and date range.
     *
     * @param fileName the path to the JSON file containing the alarm name
     * @param date     the date to start the alarm history search (in the format "yyyy-MM-dd'T'HH:mm:ss'Z'")
     * @return a {@code CompletableFuture<Void>} that completes when the alarm history has been retrieved and processed
     */
    public CompletableFuture<Void> getAlarmHistoryAsync(String fileName, String date) {
        CompletableFuture<String> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(parser);
                return rootNode.findValue("exampleAlarmName").asText(); // Return alarmName from the JSON file
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        // Use the alarm name to describe alarm history with a paginator.
        return readFileFuture.thenCompose(alarmName -> {
            try {
                Instant start = Instant.parse(date);
                Instant endDate = Instant.now();
                DescribeAlarmHistoryRequest historyRequest = DescribeAlarmHistoryRequest.builder()
                    .startDate(start)
                    .endDate(endDate)
                    .alarmName(alarmName)
                    .historyItemType(HistoryItemType.ACTION)
                    .build();

                // Use the paginator to paginate through alarm history pages.
                DescribeAlarmHistoryPublisher historyPublisher = getAsyncClient().describeAlarmHistoryPaginator(historyRequest);
                CompletableFuture<Void> future = historyPublisher
                    .subscribe(response -> response.alarmHistoryItems().forEach(item -> {
                        logger.info("History summary: {}", item.historySummary());
                        logger.info("Timestamp: {}", item.timestamp());
                    }))
                    .whenComplete((result, exception) -> {
                        if (exception != null) {
                            logger.error("Error occurred while getting alarm history: " + exception.getMessage(), exception);
                        } else {
                            logger.info("Successfully retrieved all alarm history.");
                        }
                    });

                // Return the future to the calling code for further handling
                return future;
            } catch (Exception e) {
                throw new RuntimeException("Failed to process alarm history", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error completing alarm history processing", exception);
            }
        });
    }
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmHistory](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAlarmHistory)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun getAlarmHistory(
    fileName: String,
    date: String,
) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val alarmNameVal = rootNode.findValue("exampleAlarmName").asText()
    val start = Instant.parse(date)
    val endDateVal = Instant.now()

    val historyRequest =
        DescribeAlarmHistoryRequest {
            startDate =
                aws.smithy.kotlin.runtime.time
                    .Instant(start)
            endDate =
                aws.smithy.kotlin.runtime.time
                    .Instant(endDateVal)
            alarmName = alarmNameVal
            historyItemType = HistoryItemType.Action
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.describeAlarmHistory(historyRequest)
        val historyItems = response.alarmHistoryItems
        if (historyItems != null) {
            if (historyItems.isEmpty()) {
                println("No alarm history data found for $alarmNameVal.")
            } else {
                for (item in historyItems) {
                    println("History summary ${item.historySummary}")
                    println("Time stamp: ${item.timestamp}")
                }
            }
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmHistory](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------

# Úselo `DescribeAlarms` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_DescribeAlarms_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `DescribeAlarms`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en los siguientes ejemplos de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 
+  [Primeros pasos para usar alarmas](cloudwatch_example_cloudwatch_Scenario_GettingStarted_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Describe the current alarms, optionally filtered by state.
    /// </summary>
    /// <param name="stateValue">Optional filter for alarm state.</param>
    /// <returns>The list of alarm data.</returns>
    public async Task<List<MetricAlarm>> DescribeAlarms(StateValue? stateValue = null)
    {
        List<MetricAlarm> alarms = new List<MetricAlarm>();
        var paginatedDescribeAlarms = _amazonCloudWatch.Paginators.DescribeAlarms(
            new DescribeAlarmsRequest()
            {
                StateValue = stateValue
            });

        await foreach (var data in paginatedDescribeAlarms.MetricAlarms)
        {
            alarms.Add(data);
        }
        return alarms;
    }
```
+  Para obtener más información sobre la API, consulta [DescribeAlarms](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAlarms)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Visualización de información acerca de una alarma**  
En el siguiente ejemplo, se utiliza el comando `describe-alarms` para proporcionar información sobre la alarma denominada “mialarma”:  

```
aws cloudwatch describe-alarms --alarm-names "myalarm"
```
Salida:  

```
{
    "MetricAlarms": [
        {
            "EvaluationPeriods": 2,
            "AlarmArn": "arn:aws:cloudwatch:us-east-1:123456789012:alarm:myalarm",
            "StateUpdatedTimestamp": "2014-04-09T18:59:06.442Z",
            "AlarmConfigurationUpdatedTimestamp": "2012-12-27T00:49:54.032Z",
            "ComparisonOperator": "GreaterThanThreshold",
            "AlarmActions": [
                "arn:aws:sns:us-east-1:123456789012:myHighCpuAlarm"
            ],
            "Namespace": "AWS/EC2",
            "AlarmDescription": "CPU usage exceeds 70 percent",
            "StateReasonData": "{\"version\":\"1.0\",\"queryDate\":\"2014-04-09T18:59:06.419+0000\",\"startDate\":\"2014-04-09T18:44:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[38.958,40.292],\"threshold\":70.0}",
            "Period": 300,
            "StateValue": "OK",
            "Threshold": 70.0,
            "AlarmName": "myalarm",
            "Dimensions": [
                {
                    "Name": "InstanceId",
                    "Value": "i-0c986c72"
                }
            ],
            "Statistic": "Average",
            "StateReason": "Threshold Crossed: 2 datapoints were not greater than the threshold (70.0). The most recent datapoints: [38.958, 40.292].",
            "InsufficientDataActions": [],
            "OKActions": [],
            "ActionsEnabled": true,
            "MetricName": "CPUUtilization"
        }
    ]
}
```
+  Para obtener más información sobre la API, consulta [DescribeAlarms](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/describe-alarms.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Describes the CloudWatch alarms of the 'METRIC_ALARM' type.
     *
     * @return a {@link CompletableFuture} that represents the asynchronous operation
     * of describing the CloudWatch alarms. The future completes when the
     * operation is finished, either successfully or with an error.
     */
    public CompletableFuture<Void> describeAlarmsAsync() {
        List<AlarmType> typeList = new ArrayList<>();
        typeList.add(AlarmType.METRIC_ALARM);
        DescribeAlarmsRequest alarmsRequest = DescribeAlarmsRequest.builder()
            .alarmTypes(typeList)
            .maxRecords(10)
            .build();

        return getAsyncClient().describeAlarms(alarmsRequest)
            .thenAccept(response -> {
                List<MetricAlarm> alarmList = response.metricAlarms();
                for (MetricAlarm alarm : alarmList) {
                    logger.info("Alarm name: {}", alarm.alarmName());
                    logger.info("Alarm description: {} ", alarm.alarmDescription());
                }
            })
            .whenComplete((response, ex) -> {
                if (ex != null) {
                    logger.info("Failed to describe alarms: {}", ex.getMessage());
                } else {
                    logger.info("Successfully described alarms.");
                }
            });
    }
```
+  Para obtener más información sobre la API, consulta [DescribeAlarms](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAlarms)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun describeAlarms() {
    val typeList = ArrayList<AlarmType>()
    typeList.add(AlarmType.MetricAlarm)
    val alarmsRequest =
        DescribeAlarmsRequest {
            alarmTypes = typeList
            maxRecords = 10
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.describeAlarms(alarmsRequest)
        response.metricAlarms?.forEach { alarm ->
            println("Alarm name: ${alarm.alarmName}")
            println("Alarm description: ${alarm.alarmDescription}")
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [DescribeAlarms](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ PowerShell ]

**Herramientas para la versión PowerShell 4**  
**Ejemplo 1: Devuelve todas las alarmas, incluidas las alarmas compuestas y métricas, de CloudWatch.**  

```
Get-CWAlarm -MaxRecords 1
```
**Salida:**  

```
CompositeAlarms MetricAlarms         NextToken
--------------- ------------         ---------
                {MetricAlarms-01}    NextToken-01
                {MetricAlarms-02}    NextToken-02
                {MetricAlarms-03}    NextToken-03
```
**Ejemplo 2: devuelve solo los datos de las alarmas compuestas de una CloudWatch vez configuradas: del AlarmType parámetro a CompositeAlarms.**  

```
Get-CWAlarm -AlarmType 'CompositeAlarms'
```
**Salida:**  

```
CompositeAlarms        MetricAlarms NextToken
---------------        ------------ ---------
{CompositeAlarms-01}
{CompositeAlarms-02}
{CompositeAlarms-03}
```
+  Para obtener más información sobre la API, consulte [DescribeAlarms Herramientas de AWS para PowerShell](https://docs.aws.amazon.com/powershell/v4/reference)*Cmdlet Reference (V4)*. 

------
#### [ Ruby ]

**SDK para Ruby**  
 Hay más información sobre. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/example_code/cloudwatch#code-examples). 

```
require 'aws-sdk-cloudwatch'

# Lists the names of available Amazon CloudWatch alarms.
#
# @param cloudwatch_client [Aws::CloudWatch::Client]
#   An initialized CloudWatch client.
# @example
#   list_alarms(Aws::CloudWatch::Client.new(region: 'us-east-1'))
def list_alarms(cloudwatch_client)
  response = cloudwatch_client.describe_alarms
  if response.metric_alarms.count.positive?
    response.metric_alarms.each do |alarm|
      puts alarm.alarm_name
    end
  else
    puts 'No alarms found.'
  end
rescue StandardError => e
  puts "Error getting information about alarms: #{e.message}"
end
```
+  Para obtener más información sobre la API, consulta [DescribeAlarms](https://docs.aws.amazon.com/goto/SdkForRubyV3/monitoring-2010-08-01/DescribeAlarms)la *Referencia AWS SDK para Ruby de la API*. 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    TRY.
        oo_result = lo_cwt->describealarms(                 " oo_result is returned for testing purposes. "
          it_alarmnames = it_alarm_names ).
        MESSAGE 'Alarms retrieved.' TYPE 'I'.
      CATCH /aws1/cx_rt_service_generic INTO DATA(lo_exception).
        DATA(lv_error) = |"{ lo_exception->av_err_code }" - { lo_exception->av_err_msg }|.
        MESSAGE lv_error TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [DescribeAlarms](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la *referencia sobre la API ABAP del AWS SDK para SAP*. 

------

# Úselo `DescribeAlarmsForMetric` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_DescribeAlarmsForMetric_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `DescribeAlarmsForMetric`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en los siguientes ejemplos de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 
+  [Gestionar métricas y alarmas](cloudwatch_example_cloudwatch_Usage_MetricsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Describe the current alarms for a specific metric.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metricName">The name of the metric.</param>
    /// <returns>The list of alarm data.</returns>
    public async Task<List<MetricAlarm>> DescribeAlarmsForMetric(string metricNamespace, string metricName)
    {
        var alarmsResult = await _amazonCloudWatch.DescribeAlarmsForMetricAsync(
            new DescribeAlarmsForMetricRequest()
            {
                Namespace = metricNamespace,
                MetricName = metricName
            });

        return alarmsResult.MetricAlarms ?? new List<MetricAlarm>();
    }
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAlarmsForMetric)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ C\$1\$1 ]

**SDK para C\$1\$1**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/cloudwatch#code-examples). 
Incluir los archivos requeridos.  

```
#include <aws/core/Aws.h>
#include <aws/monitoring/CloudWatchClient.h>
#include <aws/monitoring/model/DescribeAlarmsRequest.h>
#include <aws/monitoring/model/DescribeAlarmsResult.h>
#include <iomanip>
#include <iostream>
```
Describa las alarmas  

```
        Aws::CloudWatch::CloudWatchClient cw;
        Aws::CloudWatch::Model::DescribeAlarmsRequest request;
        request.SetMaxRecords(1);

        bool done = false;
        bool header = false;
        while (!done)
        {
            auto outcome = cw.DescribeAlarms(request);
            if (!outcome.IsSuccess())
            {
                std::cout << "Failed to describe CloudWatch alarms:" <<
                    outcome.GetError().GetMessage() << std::endl;
                break;
            }

            if (!header)
            {
                std::cout << std::left <<
                    std::setw(32) << "Name" <<
                    std::setw(64) << "Arn" <<
                    std::setw(64) << "Description" <<
                    std::setw(20) << "LastUpdated" <<
                    std::endl;
                header = true;
            }

            const auto &alarms = outcome.GetResult().GetMetricAlarms();
            for (const auto &alarm : alarms)
            {
                std::cout << std::left <<
                    std::setw(32) << alarm.GetAlarmName() <<
                    std::setw(64) << alarm.GetAlarmArn() <<
                    std::setw(64) << alarm.GetAlarmDescription() <<
                    std::setw(20) <<
                    alarm.GetAlarmConfigurationUpdatedTimestamp().ToGmtString(
                        SIMPLE_DATE_FORMAT_STR) <<
                    std::endl;
            }

            const auto &next_token = outcome.GetResult().GetNextToken();
            request.SetNextToken(next_token);
            done = next_token.empty();
        }
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/SdkForCpp/monitoring-2010-08-01/DescribeAlarmsForMetric)la *Referencia AWS SDK para C\$1\$1 de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Visualización de información sobre las alarmas asociadas a una métrica**  
En el siguiente ejemplo, se utiliza el `describe-alarms-for-metric` comando para mostrar información sobre cualquier alarma asociada a la CPUUtilization métrica Amazon EC2 y a la instancia con el ID i-0c986c72. :  

```
aws cloudwatch describe-alarms-for-metric --metric-name CPUUtilization --namespace AWS/EC2 --dimensions Name=InstanceId,Value=i-0c986c72
```
Salida:  

```
{
    "MetricAlarms": [
        {
            "EvaluationPeriods": 10,
            "AlarmArn": "arn:aws:cloudwatch:us-east-1:111122223333:alarm:myHighCpuAlarm2",
            "StateUpdatedTimestamp": "2013-10-30T03:03:51.479Z",
            "AlarmConfigurationUpdatedTimestamp": "2013-10-30T03:03:50.865Z",
            "ComparisonOperator": "GreaterThanOrEqualToThreshold",
            "AlarmActions": [
                "arn:aws:sns:us-east-1:111122223333:NotifyMe"
            ],
            "Namespace": "AWS/EC2",
            "AlarmDescription": "CPU usage exceeds 70 percent",
            "StateReasonData": "{\"version\":\"1.0\",\"queryDate\":\"2013-10-30T03:03:51.479+0000\",\"startDate\":\"2013-10-30T02:08:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[40.698,39.612,42.432,39.796,38.816,42.28,42.854,40.088,40.760000000000005,41.316],\"threshold\":70.0}",
            "Period": 300,
            "StateValue": "OK",
            "Threshold": 70.0,
            "AlarmName": "myHighCpuAlarm2",
            "Dimensions": [
                {
                    "Name": "InstanceId",
                    "Value": "i-0c986c72"
                }
            ],
            "Statistic": "Average",
            "StateReason": "Threshold Crossed: 10 datapoints were not greater than or equal to the threshold (70.0). The most recent datapoints: [40.760000000000005, 41.316].",
            "InsufficientDataActions": [],
            "OKActions": [],
            "ActionsEnabled": true,
            "MetricName": "CPUUtilization"
        },
        {
            "EvaluationPeriods": 2,
            "AlarmArn": "arn:aws:cloudwatch:us-east-1:111122223333:alarm:myHighCpuAlarm",
            "StateUpdatedTimestamp": "2014-04-09T18:59:06.442Z",
            "AlarmConfigurationUpdatedTimestamp": "2014-04-09T22:26:05.958Z",
            "ComparisonOperator": "GreaterThanThreshold",
            "AlarmActions": [
                "arn:aws:sns:us-east-1:111122223333:HighCPUAlarm"
            ],
            "Namespace": "AWS/EC2",
            "AlarmDescription": "CPU usage exceeds 70 percent",
            "StateReasonData": "{\"version\":\"1.0\",\"queryDate\":\"2014-04-09T18:59:06.419+0000\",\"startDate\":\"2014-04-09T18:44:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[38.958,40.292],\"threshold\":70.0}",
            "Period": 300,
            "StateValue": "OK",
            "Threshold": 70.0,
            "AlarmName": "myHighCpuAlarm",
            "Dimensions": [
                {
                    "Name": "InstanceId",
                    "Value": "i-0c986c72"
                }
            ],
            "Statistic": "Average",
            "StateReason": "Threshold Crossed: 2 datapoints were not greater than the threshold (70.0). The most recent datapoints: [38.958, 40.292].",
            "InsufficientDataActions": [],
            "OKActions": [],
            "ActionsEnabled": false,
            "MetricName": "CPUUtilization"
        }
    ]
}
```
+  Para obtener más información sobre la API, consulte [DescribeAlarmsForMetric](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/describe-alarms-for-metric.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Checks for a metric alarm in AWS CloudWatch.
     *
     * @param fileName the name of the file containing the JSON configuration for the custom metric
     * @return a {@link CompletableFuture} that completes when the check for the metric alarm is complete
     */
    public CompletableFuture<Void> checkForMetricAlarmAsync(String fileName) {
        CompletableFuture<String> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(parser);
                return rootNode.toString(); // Return JSON as a string for further processing
            } catch (IOException e) {
                throw new RuntimeException("Failed to read file", e);
            }
        });

        return readFileFuture.thenCompose(jsonContent -> {
            try {
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(jsonContent);
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                DescribeAlarmsForMetricRequest metricRequest = DescribeAlarmsForMetricRequest.builder()
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .build();

                return checkForAlarmAsync(metricRequest, customMetricName, 10);

            } catch (IOException e) {
                throw new RuntimeException("Failed to parse JSON content", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error checking metric alarm", exception);
            }
        });
    }

    // Recursive method to check for the alarm.

    /**
     * Checks for the existence of an alarm asynchronously for the specified metric.
     *
     * @param metricRequest    the request to describe the alarms for the specified metric
     * @param customMetricName the name of the custom metric to check for an alarm
     * @param retries          the number of retries to perform if no alarm is found
     * @return a {@link CompletableFuture} that completes when an alarm is found or the maximum number of retries has been reached
     */
    private static CompletableFuture<Void> checkForAlarmAsync(DescribeAlarmsForMetricRequest metricRequest, String customMetricName, int retries) {
        if (retries == 0) {
            return CompletableFuture.completedFuture(null).thenRun(() ->
                logger.info("No Alarm state found for {} after 10 retries.", customMetricName)
            );
        }

        return (getAsyncClient().describeAlarmsForMetric(metricRequest).thenCompose(response -> {
            if (response.hasMetricAlarms()) {
                logger.info("Alarm state found for {}", customMetricName);
                return CompletableFuture.completedFuture(null); // Alarm found, complete the future
            } else {
                return CompletableFuture.runAsync(() -> {
                    try {
                        Thread.sleep(20000);
                        logger.info(".");
                    } catch (InterruptedException e) {
                        throw new RuntimeException("Interrupted while waiting to retry", e);
                    }
                }).thenCompose(v -> checkForAlarmAsync(metricRequest, customMetricName, retries - 1)); // Recursive call
            }
        }));
    }
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAlarmsForMetric)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ JavaScript ]

**SDK para JavaScript (v3)**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples). 
Importar el SDK y los módulos de cliente, y llamar a la API.  

```
import { DescribeAlarmsCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new DescribeAlarmsCommand({
    AlarmNames: [process.env.CLOUDWATCH_ALARM_NAME], // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
Cree el cliente en un módulo separado y expórtelo.  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-describing). 
+  Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/DescribeAlarmsForMetricCommand)la *Referencia AWS SDK para JavaScript de la API*. 

**SDK para JavaScript (v2)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/cloudwatch#code-examples). 

```
// Load the AWS SDK for Node.js
var AWS = require("aws-sdk");
// Set the region
AWS.config.update({ region: "REGION" });

// Create CloudWatch service object
var cw = new AWS.CloudWatch({ apiVersion: "2010-08-01" });

cw.describeAlarms({ StateValue: "INSUFFICIENT_DATA" }, function (err, data) {
  if (err) {
    console.log("Error", err);
  } else {
    // List the names of all current alarms in the console
    data.MetricAlarms.forEach(function (item, index, array) {
      console.log(item.AlarmName);
    });
  }
});
```
+  Para obtener más información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-describing). 
+  Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/monitoring-2010-08-01/DescribeAlarmsForMetric)la *Referencia AWS SDK para JavaScript de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun checkForMetricAlarm(fileName: String?) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()
    var hasAlarm = false
    var retries = 10

    val metricRequest =
        DescribeAlarmsForMetricRequest {
            metricName = customMetricName
            namespace = customMetricNamespace
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        while (!hasAlarm && retries > 0) {
            val response = cwClient.describeAlarmsForMetric(metricRequest)
            if (response.metricAlarms?.count()!! > 0) {
                hasAlarm = true
            }
            retries--
            delay(20000)
            println(".")
        }
        if (!hasAlarm) {
            println("No Alarm state found for $customMetricName after 10 retries.")
        } else {
            println("Alarm state found for $customMetricName.")
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ Python ]

**SDK para Python (Boto3)**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples). 

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def get_metric_alarms(self, metric_namespace, metric_name):
        """
        Gets the alarms that are currently watching the specified metric.

        :param metric_namespace: The namespace of the metric.
        :param metric_name: The name of the metric.
        :returns: An iterator that yields the alarms.
        """
        metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
        alarm_iter = metric.alarms.all()
        logger.info("Got alarms for metric %s.%s.", metric_namespace, metric_name)
        return alarm_iter
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DescribeAlarmsForMetric)la *AWS Referencia de API de SDK for Python (Boto3*). 

------
#### [ Ruby ]

**SDK para Ruby**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/example_code/cloudwatch#code-examples). 

```
#
# @param cloudwatch_client [Aws::CloudWatch::Client]
#   An initialized CloudWatch client.
# @example
#   describe_metric_alarms(Aws::CloudWatch::Client.new(region: 'us-east-1'))
def describe_metric_alarms(cloudwatch_client)
  response = cloudwatch_client.describe_alarms

  if response.metric_alarms.count.positive?
    response.metric_alarms.each do |alarm|
      puts '-' * 16
      puts "Name:           #{alarm.alarm_name}"
      puts "State value:    #{alarm.state_value}"
      puts "State reason:   #{alarm.state_reason}"
      puts "Metric:         #{alarm.metric_name}"
      puts "Namespace:      #{alarm.namespace}"
      puts "Statistic:      #{alarm.statistic}"
      puts "Period:         #{alarm.period}"
      puts "Unit:           #{alarm.unit}"
      puts "Eval. periods:  #{alarm.evaluation_periods}"
      puts "Threshold:      #{alarm.threshold}"
      puts "Comp. operator: #{alarm.comparison_operator}"

      if alarm.key?(:ok_actions) && alarm.ok_actions.count.positive?
        puts 'OK actions:'
        alarm.ok_actions.each do |a|
          puts "  #{a}"
        end
      end

      if alarm.key?(:alarm_actions) && alarm.alarm_actions.count.positive?
        puts 'Alarm actions:'
        alarm.alarm_actions.each do |a|
          puts "  #{a}"
        end
      end

      if alarm.key?(:insufficient_data_actions) &&
         alarm.insufficient_data_actions.count.positive?
        puts 'Insufficient data actions:'
        alarm.insufficient_data_actions.each do |a|
          puts "  #{a}"
        end
      end

      puts 'Dimensions:'
      if alarm.key?(:dimensions) && alarm.dimensions.count.positive?
        alarm.dimensions.each do |d|
          puts "  Name: #{d.name}, Value: #{d.value}"
        end
      else
        puts '  None for this alarm.'
      end
    end
  else
    puts 'No alarms found.'
  end
rescue StandardError => e
  puts "Error getting information about alarms: #{e.message}"
end

# Example usage:
def run_me
  region = ''

  # Print usage information and then stop.
  if ARGV[0] == '--help' || ARGV[0] == '-h'
    puts 'Usage:   ruby cw-ruby-example-show-alarms.rb REGION'
    puts 'Example: ruby cw-ruby-example-show-alarms.rb us-east-1'
    exit 1
  # If no values are specified at the command prompt, use these default values.
  elsif ARGV.count.zero?
    region = 'us-east-1'
  # Otherwise, use the values as specified at the command prompt.
  else
    region = ARGV[0]
  end

  cloudwatch_client = Aws::CloudWatch::Client.new(region: region)
  puts 'Available alarms:'
  describe_metric_alarms(cloudwatch_client)
end

run_me if $PROGRAM_NAME == __FILE__
```
+  Para obtener más información sobre la API, consulta [DescribeAlarmsForMetric](https://docs.aws.amazon.com/goto/SdkForRubyV3/monitoring-2010-08-01/DescribeAlarmsForMetric)la *Referencia AWS SDK para Ruby de la API*. 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    TRY.
        oo_result = lo_cwt->describealarmsformetric(          " oo_result is returned for testing purposes. "
          iv_namespace   = iv_namespace
          iv_metricname  = iv_metric_name
          it_dimensions  = it_dimensions
          iv_statistic   = iv_statistic
          iv_period      = iv_period
          iv_unit        = iv_unit ).
        MESSAGE 'Alarms for metric retrieved.' TYPE 'I'.
      CATCH /aws1/cx_rt_service_generic INTO DATA(lo_exception).
        DATA(lv_error) = |"{ lo_exception->av_err_code }" - { lo_exception->av_err_msg }|.
        MESSAGE lv_error TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [DescribeAlarmsForMetric](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la *referencia sobre la API ABAP del AWS SDK para SAP*. 

------

# Úselo `DescribeAnomalyDetectors` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_DescribeAnomalyDetectors_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `DescribeAnomalyDetectors`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Describe anomaly detectors for a metric and namespace.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metricName">The metric of the anomaly detectors.</param>
    /// <returns>The list of detectors.</returns>
    public async Task<List<AnomalyDetector>> DescribeAnomalyDetectors(string metricNamespace, string metricName)
    {
        List<AnomalyDetector> detectors = new List<AnomalyDetector>();
        var paginatedDescribeAnomalyDetectors = _amazonCloudWatch.Paginators.DescribeAnomalyDetectors(
            new DescribeAnomalyDetectorsRequest()
            {
                MetricName = metricName,
                Namespace = metricNamespace
            });

        await foreach (var data in paginatedDescribeAnomalyDetectors.AnomalyDetectors)
        {
            detectors.Add(data);
        }

        return detectors;
    }
```
+  Para obtener más información sobre la API, consulta [DescribeAnomalyDetectors](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAnomalyDetectors)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Recuperación de una lista de modelos de detección de anomalías**  
En el siguiente ejemplo de `describe-anomaly-detectors` se muestra información sobre los modelos de detectores de anomalías que están asociados al espacio de nombres de `AWS/Logs` en la cuenta especificada.  

```
aws cloudwatch describe-anomaly-detectors \
    --namespace AWS/Logs
```
Salida:  

```
{
    "AnomalyDetectors": [
        {
            "Namespace": "AWS/Logs",
            "MetricName": "IncomingBytes",
            "Dimensions": [],
            "Stat": "SampleCount",
            "Configuration": {
                "ExcludedTimeRanges": []
            },
            "StateValue": "TRAINED",
            "SingleMetricAnomalyDetector": {
                "AccountId": "123456789012",
                "Namespace": "AWS/Logs",
                "MetricName": "IncomingBytes",
                "Dimensions": [],
                "Stat": "SampleCount"
            }
        },
        {
            "Namespace": "AWS/Logs",
            "MetricName": "IncomingBytes",
            "Dimensions": [
                {
                    "Name": "LogGroupName",
                    "Value": "demo"
                }
            ],
            "Stat": "Average",
            "Configuration": {
                "ExcludedTimeRanges": []
            },
            "StateValue": "PENDING_TRAINING",
            "SingleMetricAnomalyDetector": {
                "AccountId": "123456789012",
                "Namespace": "AWS/Logs",
                "MetricName": "IncomingBytes",
                "Dimensions": [
                    {
                        "Name": "LogGroupName",
                        "Value": "demo"
                    }
                ],
                "Stat": "Average"
            }
        }
    ]
}
```
Para obtener más información, consulta [Uso de la detección de CloudWatch anomalías](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html) en la *Guía del CloudWatch usuario de Amazon*.  
+  Para obtener más información sobre la API, consulte [DescribeAnomalyDetectors](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/describe-anomaly-detectors.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Describes the anomaly detectors based on the specified JSON file.
     *
     * @param fileName the name of the JSON file containing the custom metric namespace and name
     * @return a {@link CompletableFuture} that completes when the anomaly detectors have been described
     * @throws RuntimeException if there is a failure during the operation, such as when reading or parsing the JSON file,
     *                          or when describing the anomaly detectors
     */
    public CompletableFuture<Void> describeAnomalyDetectorsAsync(String fileName) {
        CompletableFuture<JsonNode> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                return new ObjectMapper().readTree(parser);
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        return readFileFuture.thenCompose(rootNode -> {
            try {
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                DescribeAnomalyDetectorsRequest detectorsRequest = DescribeAnomalyDetectorsRequest.builder()
                    .maxResults(10)
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .build();

                return getAsyncClient().describeAnomalyDetectors(detectorsRequest).thenAccept(response -> {
                    List<AnomalyDetector> anomalyDetectorList = response.anomalyDetectors();
                    for (AnomalyDetector detector : anomalyDetectorList) {
                        logger.info("Metric name: {} ", detector.singleMetricAnomalyDetector().metricName());
                        logger.info("State: {} ", detector.stateValue());
                    }
                });
            } catch (RuntimeException e) {
                throw new RuntimeException("Failed to describe anomaly detectors", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error describing anomaly detectors", exception);
            }
        });
    }
```
+  Para obtener más información sobre la API, consulta [DescribeAnomalyDetectors](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAnomalyDetectors)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun describeAnomalyDetectors(fileName: String) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    val detectorsRequest =
        DescribeAnomalyDetectorsRequest {
            maxResults = 10
            metricName = customMetricName
            namespace = customMetricNamespace
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.describeAnomalyDetectors(detectorsRequest)
        response.anomalyDetectors?.forEach { detector ->
            println("Metric name: ${detector.singleMetricAnomalyDetector?.metricName}")
            println("State: ${detector.stateValue}")
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [DescribeAnomalyDetectors](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------

# Úselo `DisableAlarmActions` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_DisableAlarmActions_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `DisableAlarmActions`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en los siguientes ejemplos de código: 
+  [Primeros pasos para usar alarmas](cloudwatch_example_cloudwatch_Scenario_GettingStarted_section.md) 
+  [Gestionar métricas y alarmas](cloudwatch_example_cloudwatch_Usage_MetricsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Disable the actions for a list of alarms from CloudWatch.
    /// </summary>
    /// <param name="alarmNames">A list of names of alarms.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> DisableAlarmActions(List<string> alarmNames)
    {
        var disableAlarmActionsResult = await _amazonCloudWatch.DisableAlarmActionsAsync(
            new DisableAlarmActionsRequest()
            {
                AlarmNames = alarmNames
            });

        return disableAlarmActionsResult.HttpStatusCode == HttpStatusCode.OK;
    }
```
+  Para obtener más información sobre la API, consulta [DisableAlarmActions](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DisableAlarmActions)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ C\$1\$1 ]

**SDK para C\$1\$1**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/cloudwatch#code-examples). 
Incluir los archivos requeridos.  

```
#include <aws/core/Aws.h>
#include <aws/monitoring/CloudWatchClient.h>
#include <aws/monitoring/model/DisableAlarmActionsRequest.h>
#include <iostream>
```
Deshabilite las acciones de alarma.  

```
        Aws::CloudWatch::CloudWatchClient cw;

        Aws::CloudWatch::Model::DisableAlarmActionsRequest disableAlarmActionsRequest;
        disableAlarmActionsRequest.AddAlarmNames(alarm_name);

        auto disableAlarmActionsOutcome = cw.DisableAlarmActions(disableAlarmActionsRequest);
        if (!disableAlarmActionsOutcome.IsSuccess())
        {
            std::cout << "Failed to disable actions for alarm " << alarm_name <<
                ": " << disableAlarmActionsOutcome.GetError().GetMessage() <<
                std::endl;
        }
        else
        {
            std::cout << "Successfully disabled actions for alarm " <<
                alarm_name << std::endl;
        }
```
+  Para obtener más información sobre la API, consulta [DisableAlarmActions](https://docs.aws.amazon.com/goto/SdkForCpp/monitoring-2010-08-01/DisableAlarmActions)la *Referencia AWS SDK para C\$1\$1 de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Desactivación de acciones en una alarma**  
En el siguiente ejemplo, se utiliza el comando `disable-alarm-actions` para deshabilitar todas las acciones de la alarma denominada mialarma:  

```
aws cloudwatch disable-alarm-actions --alarm-names myalarm
```
Este comando vuelve a la petición si se ejecuta correctamente.  
+  Para obtener más información sobre la API, consulta [DisableAlarmActions](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/disable-alarm-actions.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.cloudwatch.CloudWatchClient;
import software.amazon.awssdk.services.cloudwatch.model.CloudWatchException;
import software.amazon.awssdk.services.cloudwatch.model.DisableAlarmActionsRequest;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class DisableAlarmActions {
    public static void main(String[] args) {
        final String usage = """

                Usage:
                  <alarmName>

                Where:
                  alarmName - An alarm name to disable (for example, MyAlarm).
                """;

        if (args.length != 1) {
            System.out.println(usage);
            System.exit(1);
        }

        String alarmName = args[0];
        Region region = Region.US_EAST_1;
        CloudWatchClient cw = CloudWatchClient.builder()
                .region(region)
                .build();

        disableActions(cw, alarmName);
        cw.close();
    }

    public static void disableActions(CloudWatchClient cw, String alarmName) {
        try {
            DisableAlarmActionsRequest request = DisableAlarmActionsRequest.builder()
                    .alarmNames(alarmName)
                    .build();

            cw.disableAlarmActions(request);
            System.out.printf("Successfully disabled actions on alarm %s", alarmName);

        } catch (CloudWatchException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [DisableAlarmActions](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DisableAlarmActions)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ JavaScript ]

**SDK para JavaScript (v3)**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples). 
Importar el SDK y los módulos de cliente, y llamar a la API.  

```
import { DisableAlarmActionsCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new DisableAlarmActionsCommand({
    AlarmNames: process.env.CLOUDWATCH_ALARM_NAME, // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
Cree el cliente en un módulo separado y expórtelo.  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-using-alarm-actions.html#cloudwatch-examples-using-alarm-actions-disabling). 
+  Para obtener más información sobre la API, consulte [DisableAlarmActions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/DisableAlarmActionsCommand)la *Referencia AWS SDK para JavaScript de la API*. 

**SDK para JavaScript (v2)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/cloudwatch#code-examples). 
Importe el SDK y los módulos cliente, y llame a la API.  

```
// Load the AWS SDK for Node.js
var AWS = require("aws-sdk");
// Set the region
AWS.config.update({ region: "REGION" });

// Create CloudWatch service object
var cw = new AWS.CloudWatch({ apiVersion: "2010-08-01" });

cw.disableAlarmActions(
  { AlarmNames: ["Web_Server_CPU_Utilization"] },
  function (err, data) {
    if (err) {
      console.log("Error", err);
    } else {
      console.log("Success", data);
    }
  }
);
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-using-alarm-actions.html#cloudwatch-examples-using-alarm-actions-disabling). 
+  Para obtener más información sobre la API, consulta [DisableAlarmActions](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/monitoring-2010-08-01/DisableAlarmActions)la *Referencia AWS SDK para JavaScript de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun disableActions(alarmName: String) {
    val request =
        DisableAlarmActionsRequest {
            alarmNames = listOf(alarmName)
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.disableAlarmActions(request)
        println("Successfully disabled actions on alarm $alarmName")
    }
}
```
+  Para obtener más información sobre la API, consulta [DisableAlarmActions](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ Python ]

**SDK para Python (Boto3)**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples). 

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def enable_alarm_actions(self, alarm_name, enable):
        """
        Enables or disables actions on the specified alarm. Alarm actions can be
        used to send notifications or automate responses when an alarm enters a
        particular state.

        :param alarm_name: The name of the alarm.
        :param enable: When True, actions are enabled for the alarm. Otherwise, they
                       disabled.
        """
        try:
            alarm = self.cloudwatch_resource.Alarm(alarm_name)
            if enable:
                alarm.enable_actions()
            else:
                alarm.disable_actions()
            logger.info(
                "%s actions for alarm %s.",
                "Enabled" if enable else "Disabled",
                alarm_name,
            )
        except ClientError:
            logger.exception(
                "Couldn't %s actions alarm %s.",
                "enable" if enable else "disable",
                alarm_name,
            )
            raise
```
+  Para obtener más información sobre la API, consulta [DisableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/DisableAlarmActions)la *AWS Referencia de API de SDK for Python (Boto3*). 

------
#### [ Ruby ]

**SDK para Ruby**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/example_code/cloudwatch#code-examples). 

```
# Disables an alarm in Amazon CloudWatch.
#
# Prerequisites.
#
# - The alarm to disable.
#
# @param cloudwatch_client [Aws::CloudWatch::Client]
#   An initialized CloudWatch client.
# @param alarm_name [String] The name of the alarm to disable.
# @return [Boolean] true if the alarm was disabled; otherwise, false.
# @example
#   exit 1 unless alarm_actions_disabled?(
#     Aws::CloudWatch::Client.new(region: 'us-east-1'),
#     'ObjectsInBucket'
#   )
def alarm_actions_disabled?(cloudwatch_client, alarm_name)
  cloudwatch_client.disable_alarm_actions(alarm_names: [alarm_name])
  true
rescue StandardError => e
  puts "Error disabling alarm actions: #{e.message}"
  false
end

# Example usage:
def run_me
  alarm_name = 'ObjectsInBucket'
  alarm_description = 'Objects exist in this bucket for more than 1 day.'
  metric_name = 'NumberOfObjects'
  # Notify this Amazon Simple Notification Service (Amazon SNS) topic when
  # the alarm transitions to the ALARM state.
  alarm_actions = ['arn:aws:sns:us-east-1:111111111111:Default_CloudWatch_Alarms_Topic']
  namespace = 'AWS/S3'
  statistic = 'Average'
  dimensions = [
    {
      name: "BucketName",
      value: "amzn-s3-demo-bucket"
    },
    {
      name: 'StorageType',
      value: 'AllStorageTypes'
    }
  ]
  period = 86_400 # Daily (24 hours * 60 minutes * 60 seconds = 86400 seconds).
  unit = 'Count'
  evaluation_periods = 1 # More than one day.
  threshold = 1 # One object.
  comparison_operator = 'GreaterThanThreshold' # More than one object.
  # Replace us-west-2 with the AWS Region you're using for Amazon CloudWatch.
  region = 'us-east-1'

  cloudwatch_client = Aws::CloudWatch::Client.new(region: region)

  if alarm_created_or_updated?(
    cloudwatch_client,
    alarm_name,
    alarm_description,
    metric_name,
    alarm_actions,
    namespace,
    statistic,
    dimensions,
    period,
    unit,
    evaluation_periods,
    threshold,
    comparison_operator
  )
    puts "Alarm '#{alarm_name}' created or updated."
  else
    puts "Could not create or update alarm '#{alarm_name}'."
  end

  if alarm_actions_disabled?(cloudwatch_client, alarm_name)
    puts "Alarm '#{alarm_name}' disabled."
  else
    puts "Could not disable alarm '#{alarm_name}'."
  end
end

run_me if $PROGRAM_NAME == __FILE__
```
+  Para obtener más información sobre la API, consulta [DisableAlarmActions](https://docs.aws.amazon.com/goto/SdkForRubyV3/monitoring-2010-08-01/DisableAlarmActions)la *Referencia AWS SDK para Ruby de la API*. 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    "Disables actions on the specified alarm. "
    TRY.
        lo_cwt->disablealarmactions(
          it_alarmnames = it_alarm_names ).
        MESSAGE 'Alarm actions disabled.' TYPE 'I'.
      CATCH /aws1/cx_rt_service_generic INTO DATA(lo_exception).
        DATA(lv_error) = |"{ lo_exception->av_err_code }" - { lo_exception->av_err_msg }|.
        MESSAGE lv_error TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [DisableAlarmActions](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la *referencia sobre la API ABAP del AWS SDK para SAP*. 

------

# Úselo `EnableAlarmActions` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_EnableAlarmActions_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `EnableAlarmActions`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Gestionar métricas y alarmas](cloudwatch_example_cloudwatch_Usage_MetricsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Enable the actions for a list of alarms from CloudWatch.
    /// </summary>
    /// <param name="alarmNames">A list of names of alarms.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> EnableAlarmActions(List<string> alarmNames)
    {
        var enableAlarmActionsResult = await _amazonCloudWatch.EnableAlarmActionsAsync(
            new EnableAlarmActionsRequest()
            {
                AlarmNames = alarmNames
            });

        return enableAlarmActionsResult.HttpStatusCode == HttpStatusCode.OK;
    }
```
+  Para obtener más información sobre la API, consulta [EnableAlarmActions](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/EnableAlarmActions)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ C\$1\$1 ]

**SDK para C\$1\$1**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/cloudwatch#code-examples). 
Incluir los archivos requeridos.  

```
#include <aws/core/Aws.h>
#include <aws/monitoring/CloudWatchClient.h>
#include <aws/monitoring/model/EnableAlarmActionsRequest.h>
#include <aws/monitoring/model/PutMetricAlarmRequest.h>
#include <iostream>
```
Habilite las acciones de alarma.  

```
    Aws::CloudWatch::CloudWatchClient cw;
    Aws::CloudWatch::Model::PutMetricAlarmRequest request;
    request.SetAlarmName(alarm_name);
    request.SetComparisonOperator(
        Aws::CloudWatch::Model::ComparisonOperator::GreaterThanThreshold);
    request.SetEvaluationPeriods(1);
    request.SetMetricName("CPUUtilization");
    request.SetNamespace("AWS/EC2");
    request.SetPeriod(60);
    request.SetStatistic(Aws::CloudWatch::Model::Statistic::Average);
    request.SetThreshold(70.0);
    request.SetActionsEnabled(false);
    request.SetAlarmDescription("Alarm when server CPU exceeds 70%");
    request.SetUnit(Aws::CloudWatch::Model::StandardUnit::Seconds);
    request.AddAlarmActions(actionArn);

    Aws::CloudWatch::Model::Dimension dimension;
    dimension.SetName("InstanceId");
    dimension.SetValue(instanceId);
    request.AddDimensions(dimension);

    auto outcome = cw.PutMetricAlarm(request);
    if (!outcome.IsSuccess())
    {
        std::cout << "Failed to create CloudWatch alarm:" <<
            outcome.GetError().GetMessage() << std::endl;
        return;
    }

    Aws::CloudWatch::Model::EnableAlarmActionsRequest enable_request;
    enable_request.AddAlarmNames(alarm_name);

    auto enable_outcome = cw.EnableAlarmActions(enable_request);
    if (!enable_outcome.IsSuccess())
    {
        std::cout << "Failed to enable alarm actions:" <<
            enable_outcome.GetError().GetMessage() << std::endl;
        return;
    }

    std::cout << "Successfully created alarm " << alarm_name <<
        " and enabled actions on it." << std::endl;
```
+  Para obtener más información sobre la API, consulta [EnableAlarmActions](https://docs.aws.amazon.com/goto/SdkForCpp/monitoring-2010-08-01/EnableAlarmActions)la *Referencia AWS SDK para C\$1\$1 de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Activación de todas las acciones de una alarma**  
En el siguiente ejemplo, se utiliza el comando `enable-alarm-actions` para activar todas las acciones de la alarma denominada myalarm.:  

```
aws cloudwatch enable-alarm-actions --alarm-names myalarm
```
Este comando vuelve a la petición si se ejecuta correctamente.  
+  Para obtener más información sobre la API, consulta [EnableAlarmActions](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/enable-alarm-actions.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.cloudwatch.CloudWatchClient;
import software.amazon.awssdk.services.cloudwatch.model.CloudWatchException;
import software.amazon.awssdk.services.cloudwatch.model.EnableAlarmActionsRequest;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class EnableAlarmActions {
    public static void main(String[] args) {
        final String usage = """

                Usage:
                  <alarmName>

                Where:
                  alarmName - An alarm name to enable (for example, MyAlarm).
                """;

        if (args.length != 1) {
            System.out.println(usage);
            System.exit(1);
        }

        String alarm = args[0];
        Region region = Region.US_EAST_1;
        CloudWatchClient cw = CloudWatchClient.builder()
                .region(region)
                .build();

        enableActions(cw, alarm);
        cw.close();
    }

    public static void enableActions(CloudWatchClient cw, String alarm) {
        try {
            EnableAlarmActionsRequest request = EnableAlarmActionsRequest.builder()
                    .alarmNames(alarm)
                    .build();

            cw.enableAlarmActions(request);
            System.out.printf("Successfully enabled actions on alarm %s", alarm);

        } catch (CloudWatchException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [EnableAlarmActions](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/EnableAlarmActions)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ JavaScript ]

**SDK para JavaScript (v3)**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples). 
Importar el SDK y los módulos de cliente, y llamar a la API.  

```
import { EnableAlarmActionsCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  const command = new EnableAlarmActionsCommand({
    AlarmNames: [process.env.CLOUDWATCH_ALARM_NAME], // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
Cree el cliente en un módulo separado y expórtelo.  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-using-alarm-actions.html#cloudwatch-examples-using-alarm-actions-enabling). 
+  Para obtener más información sobre la API, consulta [EnableAlarmActions](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/EnableAlarmActionsCommand)la *Referencia AWS SDK para JavaScript de la API*. 

**SDK para JavaScript (v2)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/cloudwatch#code-examples). 
Importe el SDK y los módulos cliente, y llame a la API.  

```
// Load the AWS SDK for Node.js
var AWS = require("aws-sdk");
// Set the region
AWS.config.update({ region: "REGION" });

// Create CloudWatch service object
var cw = new AWS.CloudWatch({ apiVersion: "2010-08-01" });

var params = {
  AlarmName: "Web_Server_CPU_Utilization",
  ComparisonOperator: "GreaterThanThreshold",
  EvaluationPeriods: 1,
  MetricName: "CPUUtilization",
  Namespace: "AWS/EC2",
  Period: 60,
  Statistic: "Average",
  Threshold: 70.0,
  ActionsEnabled: true,
  AlarmActions: ["ACTION_ARN"],
  AlarmDescription: "Alarm when server CPU exceeds 70%",
  Dimensions: [
    {
      Name: "InstanceId",
      Value: "INSTANCE_ID",
    },
  ],
  Unit: "Percent",
};

cw.putMetricAlarm(params, function (err, data) {
  if (err) {
    console.log("Error", err);
  } else {
    console.log("Alarm action added", data);
    var paramsEnableAlarmAction = {
      AlarmNames: [params.AlarmName],
    };
    cw.enableAlarmActions(paramsEnableAlarmAction, function (err, data) {
      if (err) {
        console.log("Error", err);
      } else {
        console.log("Alarm action enabled", data);
      }
    });
  }
});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-using-alarm-actions.html#cloudwatch-examples-using-alarm-actions-enabling). 
+  Para obtener más información sobre la API, consulta [EnableAlarmActions](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/monitoring-2010-08-01/EnableAlarmActions)la *Referencia AWS SDK para JavaScript de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun enableActions(alarm: String) {
    val request =
        EnableAlarmActionsRequest {
            alarmNames = listOf(alarm)
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.enableAlarmActions(request)
        println("Successfully enabled actions on alarm $alarm")
    }
}
```
+  Para obtener más información sobre la API, consulta [EnableAlarmActions](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ Python ]

**SDK para Python (Boto3)**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples). 

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def enable_alarm_actions(self, alarm_name, enable):
        """
        Enables or disables actions on the specified alarm. Alarm actions can be
        used to send notifications or automate responses when an alarm enters a
        particular state.

        :param alarm_name: The name of the alarm.
        :param enable: When True, actions are enabled for the alarm. Otherwise, they
                       disabled.
        """
        try:
            alarm = self.cloudwatch_resource.Alarm(alarm_name)
            if enable:
                alarm.enable_actions()
            else:
                alarm.disable_actions()
            logger.info(
                "%s actions for alarm %s.",
                "Enabled" if enable else "Disabled",
                alarm_name,
            )
        except ClientError:
            logger.exception(
                "Couldn't %s actions alarm %s.",
                "enable" if enable else "disable",
                alarm_name,
            )
            raise
```
+  Para obtener más información sobre la API, consulta [EnableAlarmActions](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/EnableAlarmActions)la *AWS Referencia de API de SDK for Python (Boto3*). 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    "Enable actions on the specified alarm."
    TRY.
        lo_cwt->enablealarmactions(
          it_alarmnames = it_alarm_names ).
        MESSAGE 'Alarm actions enabled.' TYPE 'I'.
      CATCH /aws1/cx_rt_service_generic INTO DATA(lo_exception).
        DATA(lv_error) = |"{ lo_exception->av_err_code }" - { lo_exception->av_err_msg }|.
        MESSAGE lv_error TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [EnableAlarmActions](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la *referencia sobre la API ABAP del AWS SDK para SAP*. 

------

# Úselo `GetDashboard` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_GetDashboard_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `GetDashboard`.

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Get information on a dashboard.
    /// </summary>
    /// <param name="dashboardName">The name of the dashboard.</param>
    /// <returns>A JSON object with dashboard information.</returns>
    public async Task<string> GetDashboard(string dashboardName)
    {
        var dashboardResponse = await _amazonCloudWatch.GetDashboardAsync(
            new GetDashboardRequest()
            {
                DashboardName = dashboardName
            });

        return dashboardResponse.DashboardBody;
    }
```
+  Para obtener más información sobre la API, consulta [GetDashboard](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/GetDashboard)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Recuperación de información sobre un panel**  
En el siguiente ejemplo de `get-dashboard` se muestra información acerca del panel denominado `Dashboard-A` en la cuenta especificada.  

```
aws cloudwatch get-dashboard \
    --dashboard-name Dashboard-A
```
Salida:  

```
{
    "DashboardArn": "arn:aws:cloudwatch::123456789012:dashboard/Dashboard-A",
    "DashboardBody": "{\"widgets\":[{\"type\":\"metric\",\"x\":0,\"y\":0,\"width\":6,\"height\":6,\"properties\":{\"view\":\"timeSeries\",\"stacked\":false,\"metrics\":[[\"AWS/EC2\",\"NetworkIn\",\"InstanceId\",\"i-0131f062232ade043\"],[\".\",\"NetworkOut\",\".\",\".\"]],\"region\":\"us-east-1\"}}]}",
    "DashboardName": "Dashboard-A"
}
```
Para obtener más información, consulta los [ CloudWatch paneles de Amazon](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Dashboards.html) en la *Guía del CloudWatch usuario de Amazon*.  
+  Para obtener más información sobre la API, consulte [GetDashboard](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/get-dashboard.html)la *Referencia de AWS CLI comandos*. 

------
#### [ PowerShell ]

**Herramientas para la PowerShell versión 4**  
**Ejemplo 1: devuelve el arn al cuerpo del panel especificado.**  

```
Get-CWDashboard -DashboardName Dashboard1
```
**Salida:**  

```
DashboardArn                                          DashboardBody
------------                                          -------------
arn:aws:cloudwatch::123456789012:dashboard/Dashboard1 {...
```
+  Para obtener más información sobre la API, consulte [GetDashboard Herramientas de AWS para PowerShell](https://docs.aws.amazon.com/powershell/v4/reference)*Cmdlet Reference (V4)*. 

**Herramientas para la versión 5 PowerShell **  
**Ejemplo 1: devuelve el arn al cuerpo del panel especificado.**  

```
Get-CWDashboard -DashboardName Dashboard1
```
**Salida:**  

```
DashboardArn                                          DashboardBody
------------                                          -------------
arn:aws:cloudwatch::123456789012:dashboard/Dashboard1 {...
```
+  Para obtener más información sobre la API, consulte [GetDashboard](https://docs.aws.amazon.com/powershell/v5/reference)la *referencia de Herramientas de AWS para PowerShell cmdlets (*V5). 

------

# Úselo `GetMetricData` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_GetMetricData_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `GetMetricData`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Get data for CloudWatch metrics.
    /// </summary>
    /// <param name="minutesOfData">The number of minutes of data to include.</param>
    /// <param name="useDescendingTime">True to return the data descending by time.</param>
    /// <param name="endDateUtc">The end date for the data, in UTC.</param>
    /// <param name="maxDataPoints">The maximum data points to include.</param>
    /// <param name="dataQueries">Optional data queries to include.</param>
    /// <returns>A list of the requested metric data.</returns>
    public async Task<List<MetricDataResult>> GetMetricData(int minutesOfData, bool useDescendingTime, DateTime? endDateUtc = null,
        int maxDataPoints = 0, List<MetricDataQuery>? dataQueries = null)
    {
        var metricData = new List<MetricDataResult>();
        // If no end time is provided, use the current time for the end time.
        endDateUtc ??= DateTime.UtcNow;
        var timeZoneOffset = TimeZoneInfo.Local.GetUtcOffset(endDateUtc.Value.ToLocalTime());
        var startTimeUtc = endDateUtc.Value.AddMinutes(-minutesOfData);
        // The timezone string should be in the format +0000, so use the timezone offset to format it correctly.
        var timeZoneString = $"{timeZoneOffset.Hours:D2}{timeZoneOffset.Minutes:D2}";
        // Add the plus sign for positive offsets.
        timeZoneString = timeZoneString.StartsWith('-') ? timeZoneString : "+" + timeZoneString;
        var paginatedMetricData = _amazonCloudWatch.Paginators.GetMetricData(
            new GetMetricDataRequest()
            {
                StartTimeUtc = startTimeUtc,
                EndTimeUtc = endDateUtc.Value,
                LabelOptions = new LabelOptions { Timezone = timeZoneString },
                ScanBy = useDescendingTime ? ScanBy.TimestampDescending : ScanBy.TimestampAscending,
                MaxDatapoints = maxDataPoints,
                MetricDataQueries = dataQueries,
            });

        if (paginatedMetricData.MetricDataResults != null)
        {
            await foreach (var data in paginatedMetricData.MetricDataResults)
            {
                metricData.Add(data);
            }
        }

        return metricData;
    }
```
+  Para obtener más información sobre la API, consulta [GetMetricData](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/GetMetricData)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Ejemplo 1: Obtención del promedio total de IOPS de la instancia de EC2 especificada mediante una expresión matemática**  
En el siguiente `get-metric-data` ejemplo, se recuperan los valores de las CloudWatch métricas de la instancia EC2 con InstanceID `i-abcdef` mediante una expresión matemática métrica que combina métricas y métricas. `EBSReadOps` `EBSWriteOps`  

```
aws cloudwatch get-metric-data \
    --metric-data-queries file://file.json \
    --start-time 2024-09-29T22:10:00Z \
    --end-time 2024-09-29T22:15:00Z
```
Contenido de `file.json`:  

```
[
    {
        "Id": "m3",
        "Expression": "(m1+m2)/300",
        "Label": "Avg Total IOPS"
    },
    {
        "Id": "m1",
        "MetricStat": {
            "Metric": {
                "Namespace": "AWS/EC2",
                "MetricName": "EBSReadOps",
                "Dimensions": [
                    {
                        "Name": "InstanceId",
                        "Value": "i-abcdef"
                    }
                ]
            },
            "Period": 300,
            "Stat": "Sum",
            "Unit": "Count"
        },
        "ReturnData": false
    },
    {
        "Id": "m2",
        "MetricStat": {
            "Metric": {
                "Namespace": "AWS/EC2",
                "MetricName": "EBSWriteOps",
                "Dimensions": [
                    {
                        "Name": "InstanceId",
                        "Value": "i-abcdef"
                    }
                ]
            },
            "Period": 300,
            "Stat": "Sum",
            "Unit": "Count"
        },
        "ReturnData": false
    }
]
```
Salida:  

```
{
    "MetricDataResults": [
        {
            "Id": "m3",
            "Label": "Avg Total IOPS",
            "Timestamps": [
                "2024-09-29T22:10:00+00:00"
            ],
            "Values": [
                96.85
            ],
            "StatusCode": "Complete"
        }
    ],
    "Messages": []
}
```
**Ejemplo 2: Supervisar los cargos estimados mediante métricas de facturación AWS CloudWatch **  
En el siguiente `get-metric-data` ejemplo, se recupera una `EstimatedCharges` CloudWatch métrica del espacio de nombres AWS/Billing.  

```
aws cloudwatch get-metric-data \
    --metric-data-queries '[{"Id":"m1","MetricStat":{"Metric":{"Namespace":"AWS/Billing","MetricName":"EstimatedCharges","Dimensions":[{"Name":"Currency","Value":"USD"}]},"Period":21600,"Stat":"Maximum"}}]' \
    --start-time 2024-09-26T12:00:00Z \
    --end-time 2024-09-26T18:00:00Z \
    --region us-east-1
```
Salida:  

```
{
    "MetricDataResults": [
        {
            "Id": "m1",
            "Label": "EstimatedCharges",
            "Timestamps": [
                "2024-09-26T12:00:00+00:00"
            ],
            "Values": [
                542.38
            ],
            "StatusCode": "Complete"
        }
    ],
    "Messages": []
}
```
Para obtener más información, consulta [Uso de expresiones matemáticas con CloudWatch métricas](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/using-metric-math.html) en la *Guía del CloudWatch usuario de Amazon*.  
+  Para obtener más información sobre la API, consulte [GetMetricData](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/get-metric-data.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Retrieves custom metric data from the AWS CloudWatch service.
     *
     * @param fileName the name of the file containing the custom metric information
     * @return a {@link CompletableFuture} that completes when the metric data has been retrieved
     */
    public CompletableFuture<Void> getCustomMetricDataAsync(String fileName) {
        CompletableFuture<String> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                // Read values from the JSON file.
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(parser);
                return rootNode.toString(); // Return JSON as a string for further processing
            } catch (IOException e) {
                throw new RuntimeException("Failed to read file", e);
            }
        });

        return readFileFuture.thenCompose(jsonContent -> {
            try {
                // Parse the JSON string to extract relevant values.
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(jsonContent);
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                // Set the current time and date range for metric query.
                Instant nowDate = Instant.now();
                long hours = 1;
                long minutes = 30;
                Instant endTime = nowDate.plus(hours, ChronoUnit.HOURS).plus(minutes, ChronoUnit.MINUTES);

                Metric met = Metric.builder()
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .build();

                MetricStat metStat = MetricStat.builder()
                    .stat("Maximum")
                    .period(60)  // Assuming period in seconds
                    .metric(met)
                    .build();

                MetricDataQuery dataQuery = MetricDataQuery.builder()
                    .metricStat(metStat)
                    .id("foo2")
                    .returnData(true)
                    .build();

                List<MetricDataQuery> dq = new ArrayList<>();
                dq.add(dataQuery);

                GetMetricDataRequest getMetricDataRequest = GetMetricDataRequest.builder()
                    .maxDatapoints(10)
                    .scanBy(ScanBy.TIMESTAMP_DESCENDING)
                    .startTime(nowDate)
                    .endTime(endTime)
                    .metricDataQueries(dq)
                    .build();

                // Call the async method for CloudWatch data retrieval.
                return getAsyncClient().getMetricData(getMetricDataRequest);

            } catch (IOException e) {
                throw new RuntimeException("Failed to parse JSON content", e);
            }
        }).thenAccept(response -> {
            List<MetricDataResult> data = response.metricDataResults();
            for (MetricDataResult item : data) {
                logger.info("The label is: {}", item.label());
                logger.info("The status code is: {}", item.statusCode().toString());
            }
        }).exceptionally(exception -> {
            throw new RuntimeException("Failed to get metric data", exception);
        });
    }
```
+  Para obtener más información sobre la API, consulta [GetMetricData](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/GetMetricData)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun getCustomMetricData(fileName: String) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    // Set the date.
    val nowDate = Instant.now()
    val hours: Long = 1
    val minutes: Long = 30
    val date2 =
        nowDate.plus(hours, ChronoUnit.HOURS).plus(
            minutes,
            ChronoUnit.MINUTES,
        )

    val met =
        Metric {
            metricName = customMetricName
            namespace = customMetricNamespace
        }

    val metStat =
        MetricStat {
            stat = "Maximum"
            period = 1
            metric = met
        }

    val dataQUery =
        MetricDataQuery {
            metricStat = metStat
            id = "foo2"
            returnData = true
        }

    val dq = ArrayList<MetricDataQuery>()
    dq.add(dataQUery)
    val getMetReq =
        GetMetricDataRequest {
            maxDatapoints = 10
            scanBy = ScanBy.TimestampDescending
            startTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(nowDate)
            endTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(date2)
            metricDataQueries = dq
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.getMetricData(getMetReq)
        response.metricDataResults?.forEach { item ->
            println("The label is ${item.label}")
            println("The status code is ${item.statusCode}")
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [GetMetricData](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------

# Úselo `GetMetricStatistics` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_GetMetricStatistics_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `GetMetricStatistics`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en los siguientes ejemplos de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 
+  [Gestionar métricas y alarmas](cloudwatch_example_cloudwatch_Usage_MetricsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Get billing statistics using a call to a wrapper class.
    /// </summary>
    /// <returns>A collection of billing statistics.</returns>
    private static async Task<List<Datapoint>> SetupBillingStatistics()
    {
        // Make a request for EstimatedCharges with a period of one day for the past seven days.
        var billingStatistics = await _cloudWatchWrapper.GetMetricStatistics(
            "AWS/Billing",
            "EstimatedCharges",
            new List<string>() { "Maximum" },
            new List<Dimension>() { new Dimension { Name = "Currency", Value = "USD" } },
            7,
            86400);

        billingStatistics = billingStatistics.OrderBy(n => n.Timestamp).ToList();

        return billingStatistics;
    }

    /// <summary>
    /// Wrapper to get statistics for a specific CloudWatch metric.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metricName">The name of the metric.</param>
    /// <param name="statistics">The list of statistics to include.</param>
    /// <param name="dimensions">The list of dimensions to include.</param>
    /// <param name="days">The number of days in the past to include.</param>
    /// <param name="period">The period for the data.</param>
    /// <returns>A list of DataPoint objects for the statistics.</returns>
    public async Task<List<Datapoint>> GetMetricStatistics(string metricNamespace,
        string metricName, List<string> statistics, List<Dimension> dimensions, int days, int period)
    {
        var metricStatistics = await _amazonCloudWatch.GetMetricStatisticsAsync(
            new GetMetricStatisticsRequest()
            {
                Namespace = metricNamespace,
                MetricName = metricName,
                Dimensions = dimensions,
                Statistics = statistics,
                StartTimeUtc = DateTime.UtcNow.AddDays(-days),
                EndTimeUtc = DateTime.UtcNow,
                Period = period
            });

        return metricStatistics.Datapoints ?? new List<Datapoint>();
    }
```
+  Para obtener más información sobre la API, consulta [GetMetricStatistics](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/GetMetricStatistics)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Obtención de la utilización de la CPU por cada instancia de EC2**  
En el siguiente ejemplo, se utiliza el comando `get-metric-statistics` para obtener la utilización de la CPU para una instancia de EC2 con el ID i-abcdef.  

```
aws cloudwatch get-metric-statistics --metric-name CPUUtilization --start-time 2014-04-08T23:18:00Z --end-time 2014-04-09T23:18:00Z --period 3600 --namespace AWS/EC2 --statistics Maximum --dimensions Name=InstanceId,Value=i-abcdef
```
Salida:  

```
{
    "Datapoints": [
        {
            "Timestamp": "2014-04-09T11:18:00Z",
            "Maximum": 44.79,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T20:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T19:18:00Z",
            "Maximum": 50.85,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T09:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T03:18:00Z",
            "Maximum": 76.84,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T21:18:00Z",
            "Maximum": 48.96,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T14:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T08:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T16:18:00Z",
            "Maximum": 45.55,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T06:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T13:18:00Z",
            "Maximum": 45.08,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T05:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T18:18:00Z",
            "Maximum": 46.88,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T17:18:00Z",
            "Maximum": 52.08,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T07:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T02:18:00Z",
            "Maximum": 51.23,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T12:18:00Z",
            "Maximum": 47.67,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-08T23:18:00Z",
            "Maximum": 46.88,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T10:18:00Z",
            "Maximum": 51.91,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T04:18:00Z",
            "Maximum": 47.13,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T15:18:00Z",
            "Maximum": 48.96,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T00:18:00Z",
            "Maximum": 48.16,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T01:18:00Z",
            "Maximum": 49.18,
            "Unit": "Percent"
        }
    ],
    "Label": "CPUUtilization"
}
```
**Especificación de varias dimensiones**  
En el siguiente ejemplo, se ilustra cómo especificar varias dimensiones. Cada dimensión se especifica como un Name/Value par, con una coma entre el nombre y el valor. Cuando existen varias dimensiones se separan con un espacio. Si una métrica incluye varias dimensiones, debe especificar un valor para cada dimensión definida.  
Para ver más ejemplos del uso del `get-metric-statistics` comando, consulta Obtener estadísticas para una métrica en la *Guía para CloudWatch desarrolladores de Amazon*.  

```
aws cloudwatch get-metric-statistics --metric-name Buffers --namespace MyNameSpace --dimensions Name=InstanceID,Value=i-abcdef Name=InstanceType,Value=m1.small --start-time 2016-10-15T04:00:00Z --end-time 2016-10-19T07:00:00Z --statistics Average --period 60
```
+  Para obtener más información sobre la API, consulte [GetMetricStatistics](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/get-metric-statistics.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Retrieves and displays metric statistics for the specified parameters.
     *
     * @param nameSpace    the namespace for the metric
     * @param metVal       the name of the metric
     * @param metricOption the statistic to retrieve for the metric (e.g., "Maximum", "Average")
     * @param date         the date for which to retrieve the metric statistics, in the format "yyyy-MM-dd'T'HH:mm:ss'Z'"
     * @param myDimension  the dimension(s) to filter the metric statistics by
     * @return a {@link CompletableFuture} that completes when the metric statistics have been retrieved and displayed
     */
    public CompletableFuture<GetMetricStatisticsResponse> getAndDisplayMetricStatisticsAsync(String nameSpace, String metVal,
                                                                                             String metricOption, String date, Dimension myDimension) {

        Instant start = Instant.parse(date);
        Instant endDate = Instant.now();

        // Building the request for metric statistics.
        GetMetricStatisticsRequest statisticsRequest = GetMetricStatisticsRequest.builder()
            .endTime(endDate)
            .startTime(start)
            .dimensions(myDimension)
            .metricName(metVal)
            .namespace(nameSpace)
            .period(86400) // 1 day period
            .statistics(Statistic.fromValue(metricOption))
            .build();

        return getAsyncClient().getMetricStatistics(statisticsRequest)
            .whenComplete((response, exception) -> {
                if (response != null) {
                    List<Datapoint> data = response.datapoints();
                    if (!data.isEmpty()) {
                        for (Datapoint datapoint : data) {
                            logger.info("Timestamp: {} Maximum value: {}", datapoint.timestamp(), datapoint.maximum());
                        }
                    } else {
                        logger.info("The returned data list is empty");
                    }
                } else {
                    logger.info("Failed to get metric statistics: {} ", exception.getMessage());
                }
            })
            .exceptionally(exception -> {
                throw new RuntimeException("Error while getting metric statistics: " + exception.getMessage(), exception);
            });
    }
```
+  Para obtener más información sobre la API, consulta [GetMetricStatistics](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/GetMetricStatistics)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun getAndDisplayMetricStatistics(
    nameSpaceVal: String,
    metVal: String,
    metricOption: String,
    date: String,
    myDimension: Dimension,
) {
    val start = Instant.parse(date)
    val endDate = Instant.now()
    val statisticsRequest =
        GetMetricStatisticsRequest {
            endTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(endDate)
            startTime =
                aws.smithy.kotlin.runtime.time
                    .Instant(start)
            dimensions = listOf(myDimension)
            metricName = metVal
            namespace = nameSpaceVal
            period = 86400
            statistics = listOf(Statistic.fromValue(metricOption))
        }

    CloudWatchClient { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.getMetricStatistics(statisticsRequest)
        val data = response.datapoints
        if (data != null) {
            if (data.isNotEmpty()) {
                for (datapoint in data) {
                    println("Timestamp: ${datapoint.timestamp} Maximum value: ${datapoint.maximum}")
                }
            } else {
                println("The returned data list is empty")
            }
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [GetMetricStatistics](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ Python ]

**SDK para Python (Boto3)**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples). 

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def get_metric_statistics(self, namespace, name, start, end, period, stat_types):
        """
        Gets statistics for a metric within a specified time span. Metrics are grouped
        into the specified period.

        :param namespace: The namespace of the metric.
        :param name: The name of the metric.
        :param start: The UTC start time of the time span to retrieve.
        :param end: The UTC end time of the time span to retrieve.
        :param period: The period, in seconds, in which to group metrics. The period
                       must match the granularity of the metric, which depends on
                       the metric's age. For example, metrics that are older than
                       three hours have a one-minute granularity, so the period must
                       be at least 60 and must be a multiple of 60.
        :param stat_types: The type of statistics to retrieve, such as average value
                           or maximum value.
        :return: The retrieved statistics for the metric.
        """
        try:
            metric = self.cloudwatch_resource.Metric(namespace, name)
            stats = metric.get_statistics(
                StartTime=start, EndTime=end, Period=period, Statistics=stat_types
            )
            logger.info(
                "Got %s statistics for %s.", len(stats["Datapoints"]), stats["Label"]
            )
        except ClientError:
            logger.exception("Couldn't get statistics for %s.%s.", namespace, name)
            raise
        else:
            return stats
```
+  Para obtener más información sobre la API, consulta [GetMetricStatistics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/GetMetricStatistics)la *AWS Referencia de API de SDK for Python (Boto3*). 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    TRY.
        oo_result = lo_cwt->getmetricstatistics(              " oo_result is returned for testing purposes. "
          iv_namespace   = iv_namespace
          iv_metricname  = iv_metric_name
          iv_starttime   = iv_start_time
          iv_endtime     = iv_end_time
          iv_period      = iv_period
          it_statistics  = it_statistics ).
        MESSAGE 'Metric statistics retrieved.' TYPE 'I'.
      CATCH /aws1/cx_cwtinvparamvalueex.
        MESSAGE 'The specified argument was not valid.' TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [GetMetricStatistics](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la *referencia sobre la API ABAP del AWS SDK para SAP*. 

------

# Úselo `GetMetricWidgetImage` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_GetMetricWidgetImage_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `GetMetricWidgetImage`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Get an image for a metric graphed over time.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metric">The name of the metric.</param>
    /// <param name="stat">The name of the stat to chart.</param>
    /// <param name="period">The period to use for the chart.</param>
    /// <returns>A memory stream for the chart image.</returns>
    public async Task<MemoryStream> GetTimeSeriesMetricImage(string metricNamespace, string metric, string stat, int period)
    {
        var metricImageWidget = new
        {
            title = "Example Metric Graph",
            view = "timeSeries",
            stacked = false,
            period = period,
            width = 1400,
            height = 600,
            metrics = new List<List<object>>
                { new() { metricNamespace, metric, new { stat } } }
        };

        var metricImageWidgetString = JsonSerializer.Serialize(metricImageWidget);
        var imageResponse = await _amazonCloudWatch.GetMetricWidgetImageAsync(
            new GetMetricWidgetImageRequest()
            {
                MetricWidget = metricImageWidgetString
            });

        return imageResponse.MetricWidgetImage;
    }

    /// <summary>
    /// Save a metric image to a file.
    /// </summary>
    /// <param name="memoryStream">The MemoryStream for the metric image.</param>
    /// <param name="metricName">The name of the metric.</param>
    /// <returns>The path to the file.</returns>
    public string SaveMetricImage(MemoryStream memoryStream, string metricName)
    {
        var metricFileName = $"{metricName}_{DateTime.Now.Ticks}.png";
        using var sr = new StreamReader(memoryStream);
        // Writes the memory stream to a file.
        File.WriteAllBytes(metricFileName, memoryStream.ToArray());
        var filePath = Path.Join(AppDomain.CurrentDomain.BaseDirectory,
            metricFileName);
        return filePath;
    }
```
+  Para obtener más información sobre la API, consulta [GetMetricWidgetImage](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/GetMetricWidgetImage)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Para recuperar un gráfico instantáneo de CPUUtilization**  
En el siguiente ejemplo de `get-metric-widget-image`, se recupera un gráfico de instantáneas de la métrica `CPUUtilization` de la instancia de EC2 con el ID `i-abcde` y se guarda la imagen recuperada como archivo denominado “image.png” en la máquina local.  

```
aws cloudwatch get-metric-widget-image \
    --metric-widget '{"metrics":[["AWS/EC2","CPUUtilization","InstanceId","i-abcde"]]}' \
    --output-format png \
    --output text | base64 --decode > image.png
```
Este comando no genera ninguna salida.  
+  Para obtener más información sobre la API, consulte [GetMetricWidgetImage](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/get-metric-widget-image.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Retrieves and saves a custom metric image to a file.
     *
     * @param fileName the name of the file to save the metric image to
     * @return a {@link CompletableFuture} that completes when the image has been saved to the file
     */
    public CompletableFuture<Void> downloadAndSaveMetricImageAsync(String fileName) {
        logger.info("Getting Image data for custom metric.");
        String myJSON = """
              {
                  "title": "Example Metric Graph",
                  "view": "timeSeries",
                  "stacked ": false,
                  "period": 10,
                  "width": 1400,
                  "height": 600,
                  "metrics": [
                      [
                      "AWS/Billing",
                      "EstimatedCharges",
                      "Currency",
                      "USD"
                     ]
                  ]
              }
            """;

        GetMetricWidgetImageRequest imageRequest = GetMetricWidgetImageRequest.builder()
            .metricWidget(myJSON)
            .build();

        return getAsyncClient().getMetricWidgetImage(imageRequest)
            .thenCompose(response -> {
                SdkBytes sdkBytes = response.metricWidgetImage();
                byte[] bytes = sdkBytes.asByteArray();
                return CompletableFuture.runAsync(() -> {
                    try {
                        File outputFile = new File(fileName);
                        try (FileOutputStream outputStream = new FileOutputStream(outputFile)) {
                            outputStream.write(bytes);
                        }
                    } catch (IOException e) {
                        throw new RuntimeException("Failed to write image to file", e);
                    }
                });
            })
            .whenComplete((result, exception) -> {
                if (exception != null) {
                    throw new RuntimeException("Error getting and saving metric image", exception);
                } else {
                    logger.info("Image data saved successfully to {}", fileName);
                }
            });
    }
```
+  Para obtener más información sobre la API, consulta [GetMetricWidgetImage](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/GetMetricWidgetImage)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun getAndOpenMetricImage(fileName: String) {
    println("Getting Image data for custom metric.")
    val myJSON = """{
        "title": "Example Metric Graph",
        "view": "timeSeries",
        "stacked ": false,
        "period": 10,
        "width": 1400,
        "height": 600,
        "metrics": [
            [
            "AWS/Billing",
            "EstimatedCharges",
            "Currency",
            "USD"
            ]
        ]
        }"""

    val imageRequest =
        GetMetricWidgetImageRequest {
            metricWidget = myJSON
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.getMetricWidgetImage(imageRequest)
        val bytes = response.metricWidgetImage
        if (bytes != null) {
            File(fileName).writeBytes(bytes)
        }
    }
    println("You have successfully written data to $fileName")
}
```
+  Para obtener más información sobre la API, consulta [GetMetricWidgetImage](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------

# Úselo `ListDashboards` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_ListDashboards_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `ListDashboards`.

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Get a list of dashboards.
    /// </summary>
    /// <returns>A list of DashboardEntry objects.</returns>
    public async Task<List<DashboardEntry>> ListDashboards()
    {
        var results = new List<DashboardEntry>();
        var paginateDashboards = _amazonCloudWatch.Paginators.ListDashboards(
            new ListDashboardsRequest());
        // Get the entire list using the paginator.
        await foreach (var data in paginateDashboards.DashboardEntries)
        {
            results.Add(data);
        }

        return results;
    }
```
+  Para obtener más información sobre la API, consulta [ListDashboards](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/ListDashboards)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Recuperación de una lista de paneles**  
En el siguiente ejemplo de `list-dashboards`, se enumeran todos los paneles de la cuenta especificada.  

```
aws cloudwatch list-dashboards
```
Salida:  

```
{
    "DashboardEntries": [
        {
            "DashboardName": "Dashboard-A",
            "DashboardArn": "arn:aws:cloudwatch::123456789012:dashboard/Dashboard-A",
            "LastModified": "2024-10-11T18:40:11+00:00",
            "Size": 271
        },
        {
            "DashboardName": "Dashboard-B",
            "DashboardArn": "arn:aws:cloudwatch::123456789012:dashboard/Dashboard-B",
            "LastModified": "2024-10-11T18:44:41+00:00",
            "Size": 522
        }
    ]
}
```
Para obtener más información, consulta los [ CloudWatch paneles de Amazon](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Dashboards.html) en la *Guía del CloudWatch usuario de Amazon*.  
+  Para obtener más información sobre la API, consulte [ListDashboards](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/list-dashboards.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Lists the available dashboards.
     *
     * @return a {@link CompletableFuture} that completes when the operation is finished.
     * The future will complete exceptionally if an error occurs while listing the dashboards.
     */
    public CompletableFuture<Void> listDashboardsAsync() {
        ListDashboardsRequest listDashboardsRequest = ListDashboardsRequest.builder().build();
        ListDashboardsPublisher paginator = getAsyncClient().listDashboardsPaginator(listDashboardsRequest);
        return paginator.subscribe(response -> {
            response.dashboardEntries().forEach(entry -> {
                logger.info("Dashboard name is: {} ", entry.dashboardName());
                logger.info("Dashboard ARN is: {} ", entry.dashboardArn());
            });
        }).exceptionally(ex -> {
            logger.info("Failed to list dashboards: {} ", ex.getMessage());
            throw new RuntimeException("Error occurred while listing dashboards", ex);
        });
    }
```
+  Para obtener más información sobre la API, consulta [ListDashboards](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/ListDashboards)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun listDashboards() {
    CloudWatchClient { region = "us-east-1" }.use { cwClient ->
        cwClient
            .listDashboardsPaginated({})
            .transform { it.dashboardEntries?.forEach { obj -> emit(obj) } }
            .collect { obj ->
                println("Name is ${obj.dashboardName}")
                println("Dashboard ARN is ${obj.dashboardArn}")
            }
    }
}
```
+  Para obtener más información sobre la API, consulta [ListDashboards](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ PowerShell ]

**Herramientas para la versión PowerShell 4**  
**Ejemplo 1: devuelve el conjunto de paneles de su cuenta.**  

```
Get-CWDashboardList
```
**Salida:**  

```
DashboardArn DashboardName LastModified        Size
------------ ------------- ------------        ----
arn:...      Dashboard1    7/6/2017 8:14:15 PM 252
```
**Ejemplo 2: devuelve el conjunto de paneles de su cuenta cuyos nombres comienzan con el prefijo “dev”.**  

```
Get-CWDashboardList -DashboardNamePrefix dev
```
+  Para obtener más información sobre la API, consulte [ListDashboards Herramientas de AWS para PowerShell](https://docs.aws.amazon.com/powershell/v4/reference)*Cmdlet Reference (V4)*. 

**Herramientas para la versión 5 PowerShell **  
**Ejemplo 1: devuelve el conjunto de paneles de su cuenta.**  

```
Get-CWDashboardList
```
**Salida:**  

```
DashboardArn DashboardName LastModified        Size
------------ ------------- ------------        ----
arn:...      Dashboard1    7/6/2017 8:14:15 PM 252
```
**Ejemplo 2: devuelve el conjunto de paneles de su cuenta cuyos nombres comienzan con el prefijo “dev”.**  

```
Get-CWDashboardList -DashboardNamePrefix dev
```
+  Para obtener más información sobre la API, consulte [ListDashboards](https://docs.aws.amazon.com/powershell/v5/reference)la *referencia de Herramientas de AWS para PowerShell cmdlets (*V5). 

------

# Úselo `ListMetrics` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_ListMetrics_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `ListMetrics`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en los siguientes ejemplos de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 
+  [Gestionar métricas y alarmas](cloudwatch_example_cloudwatch_Usage_MetricsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// List metrics available, optionally within a namespace.
    /// </summary>
    /// <param name="metricNamespace">Optional CloudWatch namespace to use when listing metrics.</param>
    /// <param name="filter">Optional dimension filter.</param>
    /// <param name="metricName">Optional metric name filter.</param>
    /// <returns>The list of metrics.</returns>
    public async Task<List<Metric>> ListMetrics(string? metricNamespace = null, DimensionFilter? filter = null, string? metricName = null)
    {
        var results = new List<Metric>();
        var paginateMetrics = _amazonCloudWatch.Paginators.ListMetrics(
            new ListMetricsRequest
            {
                Namespace = metricNamespace,
                Dimensions = filter != null ? new List<DimensionFilter> { filter } : null,
                MetricName = metricName
            });
        // Get the entire list using the paginator.
        await foreach (var metric in paginateMetrics.Metrics)
        {
            results.Add(metric);
        }

        return results;
    }
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/ListMetrics)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ C\$1\$1 ]

**SDK para C\$1\$1**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/cloudwatch#code-examples). 
Incluir los archivos requeridos.  

```
#include <aws/core/Aws.h>
#include <aws/monitoring/CloudWatchClient.h>
#include <aws/monitoring/model/ListMetricsRequest.h>
#include <aws/monitoring/model/ListMetricsResult.h>
#include <iomanip>
#include <iostream>
```
Enumere las métricas.  

```
        Aws::CloudWatch::CloudWatchClient cw;
        Aws::CloudWatch::Model::ListMetricsRequest request;

        if (argc > 1)
        {
            request.SetMetricName(argv[1]);
        }

        if (argc > 2)
        {
            request.SetNamespace(argv[2]);
        }

        bool done = false;
        bool header = false;
        while (!done)
        {
            auto outcome = cw.ListMetrics(request);
            if (!outcome.IsSuccess())
            {
                std::cout << "Failed to list CloudWatch metrics:" <<
                    outcome.GetError().GetMessage() << std::endl;
                break;
            }

            if (!header)
            {
                std::cout << std::left << std::setw(48) << "MetricName" <<
                    std::setw(32) << "Namespace" << "DimensionNameValuePairs" <<
                    std::endl;
                header = true;
            }

            const auto &metrics = outcome.GetResult().GetMetrics();
            for (const auto &metric : metrics)
            {
                std::cout << std::left << std::setw(48) <<
                    metric.GetMetricName() << std::setw(32) <<
                    metric.GetNamespace();
                const auto &dimensions = metric.GetDimensions();
                for (auto iter = dimensions.cbegin();
                    iter != dimensions.cend(); ++iter)
                {
                    const auto &dimkv = *iter;
                    std::cout << dimkv.GetName() << " = " << dimkv.GetValue();
                    if (iter + 1 != dimensions.cend())
                    {
                        std::cout << ", ";
                    }
                }
                std::cout << std::endl;
            }

            const auto &next_token = outcome.GetResult().GetNextToken();
            request.SetNextToken(next_token);
            done = next_token.empty();
        }
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/SdkForCpp/monitoring-2010-08-01/ListMetrics)la *Referencia AWS SDK para C\$1\$1 de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Creación de una lista de las métricas de Amazon SNS**  
En el siguiente ejemplo de `list-metrics`, se muestran las métricas de Amazon SNS.  

```
aws cloudwatch list-metrics \
    --namespace "AWS/SNS"
```
Salida:  

```
{
    "Metrics": [
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "NotifyMe"
                }
            ],
            "MetricName": "PublishSize"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "CFO"
                }
            ],
            "MetricName": "PublishSize"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "NotifyMe"
                }
            ],
            "MetricName": "NumberOfNotificationsFailed"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "NotifyMe"
                }
            ],
            "MetricName": "NumberOfNotificationsDelivered"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "NotifyMe"
                }
            ],
            "MetricName": "NumberOfMessagesPublished"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "CFO"
                }
            ],
            "MetricName": "NumberOfMessagesPublished"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "CFO"
                }
            ],
            "MetricName": "NumberOfNotificationsDelivered"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "CFO"
                }
            ],
            "MetricName": "NumberOfNotificationsFailed"
        }
    ]
}
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/list-metrics.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Retrieves a list of metric names for the specified namespace.
     *
     * @param namespace the namespace for which to retrieve the metric names
     * @return a {@link CompletableFuture} that, when completed, contains an {@link ArrayList} of
     * the metric names in the specified namespace
     * @throws RuntimeException if an error occurs while listing the metrics
     */
    public CompletableFuture<ArrayList<String>> listMetsAsync(String namespace) {
        ListMetricsRequest request = ListMetricsRequest.builder()
            .namespace(namespace)
            .build();

        ListMetricsPublisher metricsPaginator = getAsyncClient().listMetricsPaginator(request);
        Set<String> metSet = new HashSet<>();
        CompletableFuture<Void> future = metricsPaginator.subscribe(response -> {
            response.metrics().forEach(metric -> {
                String metricName = metric.metricName();
                metSet.add(metricName);
            });
        });

        return future
            .thenApply(ignored -> new ArrayList<>(metSet))
            .exceptionally(exception -> {
                throw new RuntimeException("Failed to list metrics: " + exception.getMessage(), exception);
            });
    }
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/ListMetrics)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ JavaScript ]

**SDK para JavaScript (v3)**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples). 
Importar el SDK y los módulos de cliente, y llamar a la API.  

```
import {
  CloudWatchServiceException,
  ListMetricsCommand,
} from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

export const main = async () => {
  // Use the AWS console to see available namespaces and metric names. Custom metrics can also be created.
  // https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/viewing_metrics_with_cloudwatch.html
  const command = new ListMetricsCommand({
    Dimensions: [
      {
        Name: "LogGroupName",
      },
    ],
    MetricName: "IncomingLogEvents",
    Namespace: "AWS/Logs",
  });

  try {
    const response = await client.send(command);
    console.log(`Metrics count: ${response.Metrics?.length}`);
    return response;
  } catch (caught) {
    if (caught instanceof CloudWatchServiceException) {
      console.error(`Error from CloudWatch. ${caught.name}: ${caught.message}`);
    } else {
      throw caught;
    }
  }
};
```
Cree el cliente en un módulo separado y expórtelo.  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-getting-metrics.html#cloudwatch-examples-getting-metrics-listing). 
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/ListMetricsCommand)la *Referencia AWS SDK para JavaScript de la API*. 

**SDK para JavaScript (v2)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/cloudwatch#code-examples). 

```
// Load the AWS SDK for Node.js
var AWS = require("aws-sdk");
// Set the region
AWS.config.update({ region: "REGION" });

// Create CloudWatch service object
var cw = new AWS.CloudWatch({ apiVersion: "2010-08-01" });

var params = {
  Dimensions: [
    {
      Name: "LogGroupName" /* required */,
    },
  ],
  MetricName: "IncomingLogEvents",
  Namespace: "AWS/Logs",
};

cw.listMetrics(params, function (err, data) {
  if (err) {
    console.log("Error", err);
  } else {
    console.log("Metrics", JSON.stringify(data.Metrics));
  }
});
```
+  Para obtener más información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-getting-metrics.html#cloudwatch-examples-getting-metrics-listing). 
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/monitoring-2010-08-01/ListMetrics)la *Referencia AWS SDK para JavaScript de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun listMets(namespaceVal: String?): ArrayList<String>? {
    val metList = ArrayList<String>()
    val request =
        ListMetricsRequest {
            namespace = namespaceVal
        }
    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val reponse = cwClient.listMetrics(request)
        reponse.metrics?.forEach { metrics ->
            val data = metrics.metricName
            if (!metList.contains(data)) {
                metList.add(data!!)
            }
        }
    }
    return metList
}
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ Python ]

**SDK para Python (Boto3)**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples). 

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def list_metrics(self, namespace, name, recent=False):
        """
        Gets the metrics within a namespace that have the specified name.
        If the metric has no dimensions, a single metric is returned.
        Otherwise, metrics for all dimensions are returned.

        :param namespace: The namespace of the metric.
        :param name: The name of the metric.
        :param recent: When True, only metrics that have been active in the last
                       three hours are returned.
        :return: An iterator that yields the retrieved metrics.
        """
        try:
            kwargs = {"Namespace": namespace, "MetricName": name}
            if recent:
                kwargs["RecentlyActive"] = "PT3H"  # List past 3 hours only
            metric_iter = self.cloudwatch_resource.metrics.filter(**kwargs)
            logger.info("Got metrics for %s.%s.", namespace, name)
        except ClientError:
            logger.exception("Couldn't get metrics for %s.%s.", namespace, name)
            raise
        else:
            return metric_iter
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/ListMetrics)la *AWS Referencia de API de SDK for Python (Boto3*). 

------
#### [ Ruby ]

**SDK para Ruby**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/example_code/cloudwatch#code-examples). 

```
# Lists available metrics for a metric namespace in Amazon CloudWatch.
#
# @param cloudwatch_client [Aws::CloudWatch::Client]
#   An initialized CloudWatch client.
# @param metric_namespace [String] The namespace of the metric.
# @example
#   list_metrics_for_namespace(
#     Aws::CloudWatch::Client.new(region: 'us-east-1'),
#     'SITE/TRAFFIC'
#   )
def list_metrics_for_namespace(cloudwatch_client, metric_namespace)
  response = cloudwatch_client.list_metrics(namespace: metric_namespace)

  if response.metrics.count.positive?
    response.metrics.each do |metric|
      puts "  Metric name: #{metric.metric_name}"
      if metric.dimensions.count.positive?
        puts '    Dimensions:'
        metric.dimensions.each do |dimension|
          puts "      Name: #{dimension.name}, Value: #{dimension.value}"
        end
      else
        puts 'No dimensions found.'
      end
    end
  else
    puts "No metrics found for namespace '#{metric_namespace}'. " \
      'Note that it could take up to 15 minutes for recently-added metrics ' \
      'to become available.'
  end
end

# Example usage:
def run_me
  metric_namespace = 'SITE/TRAFFIC'
  # Replace us-west-2 with the AWS Region you're using for Amazon CloudWatch.
  region = 'us-east-1'

  cloudwatch_client = Aws::CloudWatch::Client.new(region: region)

  # Add three datapoints.
  puts 'Continuing...' unless datapoint_added_to_metric?(
    cloudwatch_client,
    metric_namespace,
    'UniqueVisitors',
    'SiteName',
    'example.com',
    5_885.0,
    'Count'
  )

  puts 'Continuing...' unless datapoint_added_to_metric?(
    cloudwatch_client,
    metric_namespace,
    'UniqueVisits',
    'SiteName',
    'example.com',
    8_628.0,
    'Count'
  )

  puts 'Continuing...' unless datapoint_added_to_metric?(
    cloudwatch_client,
    metric_namespace,
    'PageViews',
    'PageURL',
    'example.html',
    18_057.0,
    'Count'
  )

  puts "Metrics for namespace '#{metric_namespace}':"
  list_metrics_for_namespace(cloudwatch_client, metric_namespace)
end

run_me if $PROGRAM_NAME == __FILE__
```
+  Para obtener más información sobre la API, consulta [ListMetrics](https://docs.aws.amazon.com/goto/SdkForRubyV3/monitoring-2010-08-01/ListMetrics)la *Referencia AWS SDK para Ruby de la API*. 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    "The following list-metrics example displays the metrics for Amazon CloudWatch."
    TRY.
        oo_result = lo_cwt->listmetrics(            " oo_result is returned for testing purposes. "
          iv_namespace = iv_namespace ).
        DATA(lt_metrics) = oo_result->get_metrics( ).
        MESSAGE 'Metrics retrieved.' TYPE 'I'.
      CATCH /aws1/cx_cwtinvparamvalueex.
        MESSAGE 'The specified argument was not valid.' TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [ListMetrics](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la *referencia sobre la API ABAP del AWS SDK para SAP*. 

------

# Úselo `PutAnomalyDetector` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_PutAnomalyDetector_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `PutAnomalyDetector`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Add an anomaly detector for a single metric.
    /// </summary>
    /// <param name="anomalyDetector">A single metric anomaly detector.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> PutAnomalyDetector(SingleMetricAnomalyDetector anomalyDetector)
    {
        var putAlarmDetectorResult = await _amazonCloudWatch.PutAnomalyDetectorAsync(
            new PutAnomalyDetectorRequest()
            {
                SingleMetricAnomalyDetector = anomalyDetector
            });

        return putAlarmDetectorResult.HttpStatusCode == HttpStatusCode.OK;
    }
```
+  Para obtener más información sobre la API, consulta [PutAnomalyDetector](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutAnomalyDetector)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Creación de un modelo de detección de anomalías**  
En el siguiente `put-anomaly-detector` ejemplo, se crea un modelo de detección de anomalías para una CloudWatch métrica.  

```
aws cloudwatch put-anomaly-detector \
    --namespace AWS/Logs \
    --metric-name IncomingBytes \
    --stat SampleCount
```
Este comando no genera ninguna salida.  
Para obtener más información, consulta [Uso de la detección de CloudWatch anomalías](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html) en la *Guía del CloudWatch usuario de Amazon*.  
+  Para obtener más información sobre la API, consulte [PutAnomalyDetector](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/put-anomaly-detector.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Adds an anomaly detector for the given file.
     *
     * @param fileName the name of the file containing the anomaly detector configuration
     * @return a {@link CompletableFuture} that completes when the anomaly detector has been added
     */
    public CompletableFuture<Void> addAnomalyDetectorAsync(String fileName) {
        CompletableFuture<JsonNode> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                return new ObjectMapper().readTree(parser); // Return the root node
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        return readFileFuture.thenCompose(rootNode -> {
            try {
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                SingleMetricAnomalyDetector singleMetricAnomalyDetector = SingleMetricAnomalyDetector.builder()
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .stat("Maximum")
                    .build();

                PutAnomalyDetectorRequest anomalyDetectorRequest = PutAnomalyDetectorRequest.builder()
                    .singleMetricAnomalyDetector(singleMetricAnomalyDetector)
                    .build();

                return getAsyncClient().putAnomalyDetector(anomalyDetectorRequest).thenAccept(response -> {
                    logger.info("Added anomaly detector for metric {}", customMetricName);
                });
            } catch (Exception e) {
                throw new RuntimeException("Failed to create anomaly detector", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error adding anomaly detector", exception);
            }
        });
    }
```
+  Para obtener más información sobre la API, consulta [PutAnomalyDetector](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutAnomalyDetector)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun addAnomalyDetector(fileName: String?) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    val singleMetricAnomalyDetectorVal =
        SingleMetricAnomalyDetector {
            metricName = customMetricName
            namespace = customMetricNamespace
            stat = "Maximum"
        }

    val anomalyDetectorRequest =
        PutAnomalyDetectorRequest {
            singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putAnomalyDetector(anomalyDetectorRequest)
        println("Added anomaly detector for metric $customMetricName.")
    }
}
```
+  Para obtener más información sobre la API, consulta [PutAnomalyDetector](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------

# Úselo `PutDashboard` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_PutDashboard_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `PutDashboard`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en el siguiente ejemplo de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Set up a dashboard using a call to the wrapper class.
    /// </summary>
    /// <param name="customMetricNamespace">The metric namespace.</param>
    /// <param name="customMetricName">The metric name.</param>
    /// <param name="dashboardName">The name of the dashboard.</param>
    /// <returns>A list of validation messages.</returns>
    private static async Task<List<DashboardValidationMessage>> SetupDashboard(
        string customMetricNamespace, string customMetricName, string dashboardName)
    {
        // Get the dashboard model from configuration.
        var newDashboard = new DashboardModel();
        _configuration.GetSection("dashboardExampleBody").Bind(newDashboard);

        // Add a new metric to the dashboard.
        newDashboard.Widgets.Add(new Widget
        {
            Height = 8,
            Width = 8,
            Y = 8,
            X = 0,
            Type = "metric",
            Properties = new Properties
            {
                Metrics = new List<List<object>>
                    { new() { customMetricNamespace, customMetricName } },
                View = "timeSeries",
                Region = "us-east-1",
                Stat = "Sum",
                Period = 86400,
                YAxis = new YAxis { Left = new Left { Min = 0, Max = 100 } },
                Title = "Custom Metric Widget",
                LiveData = true,
                Sparkline = true,
                Trend = true,
                Stacked = false,
                SetPeriodToTimeRange = false
            }
        });

        var newDashboardString = JsonSerializer.Serialize(newDashboard,
            new JsonSerializerOptions
            { DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull });
        var validationMessages =
            await _cloudWatchWrapper.PutDashboard(dashboardName, newDashboardString);

        return validationMessages;
    }

    /// <summary>
    /// Wrapper to create or add to a dashboard with metrics.
    /// </summary>
    /// <param name="dashboardName">The name for the dashboard.</param>
    /// <param name="dashboardBody">The metric data in JSON for the dashboard.</param>
    /// <returns>A list of validation messages for the dashboard.</returns>
    public async Task<List<DashboardValidationMessage>> PutDashboard(string dashboardName,
        string dashboardBody)
    {
        // Updating a dashboard replaces all contents.
        // Best practice is to include a text widget indicating this dashboard was created programmatically.
        var dashboardResponse = await _amazonCloudWatch.PutDashboardAsync(
            new PutDashboardRequest()
            {
                DashboardName = dashboardName,
                DashboardBody = dashboardBody
            });

        return dashboardResponse.DashboardValidationMessages ?? new List<DashboardValidationMessage>();
    }
```
+  Para obtener más información sobre la API, consulta [PutDashboard](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutDashboard)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Creación de un panel**  
En el siguiente ejemplo de `put-dashboard`, se crea un panel denominado `Dashboard-A` en la cuenta especificada.  

```
aws cloudwatch put-dashboard \
    --dashboard-name Dashboard-A \
    --dashboard-body '{"widgets":[{"height":6,"width":6,"y":0,"x":0,"type":"metric","properties":{"view":"timeSeries","stacked":false,"metrics":[["Namespace","CPUUtilization","Environment","Prod","Type","App"]],"region":"us-east-1"}}]}'
```
Salida:  

```
{
    "DashboardValidationMessages": []
}
```
Para obtener más información, consulta [Cómo crear un CloudWatch panel](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/create_dashboard.html) en la *Guía del CloudWatch usuario de Amazon*.  
+  Para obtener más información sobre la API, consulte [PutDashboard](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/put-dashboard.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Creates a new dashboard with the specified name and metrics from the given file.
     *
     * @param dashboardName the name of the dashboard to be created
     * @param fileName      the name of the file containing the dashboard body
     * @return a {@link CompletableFuture} representing the asynchronous operation of creating the dashboard
     * @throws IOException if there is an error reading the dashboard body from the file
     */
    public CompletableFuture<PutDashboardResponse> createDashboardWithMetricsAsync(String dashboardName, String fileName) throws IOException {
        String dashboardBody = readFileAsString(fileName);
        PutDashboardRequest dashboardRequest = PutDashboardRequest.builder()
            .dashboardName(dashboardName)
            .dashboardBody(dashboardBody)
            .build();

        return getAsyncClient().putDashboard(dashboardRequest)
            .handle((response, ex) -> {
                if (ex != null) {
                    logger.info("Failed to create dashboard: {}", ex.getMessage());
                    throw new RuntimeException("Dashboard creation failed", ex);
                } else {
                    // Handle the normal response case
                    logger.info("{} was successfully created.", dashboardName);
                    List<DashboardValidationMessage> messages = response.dashboardValidationMessages();
                    if (messages.isEmpty()) {
                        logger.info("There are no messages in the new Dashboard.");
                    } else {
                        for (DashboardValidationMessage message : messages) {
                            logger.info("Message: {}", message.message());
                        }
                    }
                    return response; // Return the response for further use
                }
            });
    }
```
+  Para obtener más información sobre la API, consulta [PutDashboard](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutDashboard)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun createDashboardWithMetrics(
    dashboardNameVal: String,
    fileNameVal: String,
) {
    val dashboardRequest =
        PutDashboardRequest {
            dashboardName = dashboardNameVal
            dashboardBody = readFileAsString(fileNameVal)
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        val response = cwClient.putDashboard(dashboardRequest)
        println("$dashboardNameVal was successfully created.")
        val messages = response.dashboardValidationMessages
        if (messages != null) {
            if (messages.isEmpty()) {
                println("There are no messages in the new Dashboard")
            } else {
                for (message in messages) {
                    println("Message is: ${message.message}")
                }
            }
        }
    }
}
```
+  Para obtener más información sobre la API, consulta [PutDashboard](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ PowerShell ]

**Herramientas para la versión PowerShell 4**  
**Ejemplo 1: crea o actualiza el panel denominado “Dashboard1” para incluir dos widgets de métricas uno al lado del otro.**  

```
$dashBody = @"
{
    "widgets":[
        {
             "type":"metric",
             "x":0,
             "y":0,
             "width":12,
             "height":6,
             "properties":{
                "metrics":[
                   [
                      "AWS/EC2",
                      "CPUUtilization",
                      "InstanceId",
                      "i-012345"
                   ]
                ],
                "period":300,
                "stat":"Average",
                "region":"us-east-1",
                "title":"EC2 Instance CPU"
             }
        },
        {
             "type":"metric",
             "x":12,
             "y":0,
             "width":12,
             "height":6,
             "properties":{
                "metrics":[
                   [
                      "AWS/S3",
                      "BucketSizeBytes",
                      "BucketName",
                      "amzn-s3-demo-bucket"
                   ]
                ],
                "period":86400,
                "stat":"Maximum",
                "region":"us-east-1",
                "title":"amzn-s3-demo-bucket bytes"
            }
        }
    ]
}
"@

Write-CWDashboard -DashboardName Dashboard1 -DashboardBody $dashBody
```
**Ejemplo 2: crea o actualiza el panel y canaliza el contenido que describe el panel al cmdlet.**  

```
$dashBody = @"
{
...
}
"@
        
$dashBody | Write-CWDashboard -DashboardName Dashboard1
```
+  Para obtener más información sobre la API, consulte [PutDashboard Herramientas de AWS para PowerShell](https://docs.aws.amazon.com/powershell/v4/reference)*Cmdlet Reference (V4)*. 

**Herramientas para la versión 5 PowerShell **  
**Ejemplo 1: crea o actualiza el panel denominado “Dashboard1” para incluir dos widgets de métricas uno al lado del otro.**  

```
$dashBody = @"
{
    "widgets":[
        {
             "type":"metric",
             "x":0,
             "y":0,
             "width":12,
             "height":6,
             "properties":{
                "metrics":[
                   [
                      "AWS/EC2",
                      "CPUUtilization",
                      "InstanceId",
                      "i-012345"
                   ]
                ],
                "period":300,
                "stat":"Average",
                "region":"us-east-1",
                "title":"EC2 Instance CPU"
             }
        },
        {
             "type":"metric",
             "x":12,
             "y":0,
             "width":12,
             "height":6,
             "properties":{
                "metrics":[
                   [
                      "AWS/S3",
                      "BucketSizeBytes",
                      "BucketName",
                      "amzn-s3-demo-bucket"
                   ]
                ],
                "period":86400,
                "stat":"Maximum",
                "region":"us-east-1",
                "title":"amzn-s3-demo-bucket bytes"
            }
        }
    ]
}
"@

Write-CWDashboard -DashboardName Dashboard1 -DashboardBody $dashBody
```
**Ejemplo 2: crea o actualiza el panel y canaliza el contenido que describe el panel al cmdlet.**  

```
$dashBody = @"
{
...
}
"@
        
$dashBody | Write-CWDashboard -DashboardName Dashboard1
```
+  Para obtener más información sobre la API, consulte [PutDashboard](https://docs.aws.amazon.com/powershell/v5/reference)la *referencia de Herramientas de AWS para PowerShell cmdlets (*V5). 

------

# Úselo `PutMetricAlarm` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_PutMetricAlarm_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `PutMetricAlarm`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en los siguientes ejemplos de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 
+  [Primeros pasos para usar alarmas](cloudwatch_example_cloudwatch_Scenario_GettingStarted_section.md) 
+  [Gestionar métricas y alarmas](cloudwatch_example_cloudwatch_Usage_MetricsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Add a metric alarm to send an email when the metric passes a threshold.
    /// </summary>
    /// <param name="alarmDescription">A description of the alarm.</param>
    /// <param name="alarmName">The name for the alarm.</param>
    /// <param name="comparison">The type of comparison to use.</param>
    /// <param name="metricName">The name of the metric for the alarm.</param>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="threshold">The threshold value for the alarm.</param>
    /// <param name="alarmActions">Optional actions to execute when in an alarm state.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> PutMetricEmailAlarm(string alarmDescription, string alarmName, ComparisonOperator comparison,
        string metricName, string metricNamespace, double threshold, List<string> alarmActions = null!)
    {
        try
        {
            var putEmailAlarmResponse = await _amazonCloudWatch.PutMetricAlarmAsync(
                new PutMetricAlarmRequest()
                {
                    AlarmActions = alarmActions,
                    AlarmDescription = alarmDescription,
                    AlarmName = alarmName,
                    ComparisonOperator = comparison,
                    Threshold = threshold,
                    Namespace = metricNamespace,
                    MetricName = metricName,
                    EvaluationPeriods = 1,
                    Period = 10,
                    Statistic = new Statistic("Maximum"),
                    DatapointsToAlarm = 1,
                    TreatMissingData = "ignore"
                });
            return putEmailAlarmResponse.HttpStatusCode == HttpStatusCode.OK;
        }
        catch (LimitExceededException lex)
        {
            _logger.LogError(lex, $"Unable to add alarm {alarmName}. Alarm quota has already been reached.");
        }

        return false;
    }

    /// <summary>
    /// Add specific email actions to a list of action strings for a CloudWatch alarm.
    /// </summary>
    /// <param name="accountId">The AccountId for the alarm.</param>
    /// <param name="region">The region for the alarm.</param>
    /// <param name="emailTopicName">An Amazon Simple Notification Service (SNS) topic for the alarm email.</param>
    /// <param name="alarmActions">Optional list of existing alarm actions to append to.</param>
    /// <returns>A list of string actions for an alarm.</returns>
    public List<string> AddEmailAlarmAction(string accountId, string region,
        string emailTopicName, List<string>? alarmActions = null)
    {
        alarmActions ??= new List<string>();
        var snsAlarmAction = $"arn:aws:sns:{region}:{accountId}:{emailTopicName}";
        alarmActions.Add(snsAlarmAction);
        return alarmActions;
    }
```
+  Para obtener más información sobre la API, consulta [PutMetricAlarm](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutMetricAlarm)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ C\$1\$1 ]

**SDK para C\$1\$1**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/cloudwatch#code-examples). 
Incluir los archivos requeridos.  

```
#include <aws/core/Aws.h>
#include <aws/monitoring/CloudWatchClient.h>
#include <aws/monitoring/model/PutMetricAlarmRequest.h>
#include <iostream>
```
Cree la alarma para ver la métrica.  

```
        Aws::CloudWatch::CloudWatchClient cw;
        Aws::CloudWatch::Model::PutMetricAlarmRequest request;
        request.SetAlarmName(alarm_name);
        request.SetComparisonOperator(
            Aws::CloudWatch::Model::ComparisonOperator::GreaterThanThreshold);
        request.SetEvaluationPeriods(1);
        request.SetMetricName("CPUUtilization");
        request.SetNamespace("AWS/EC2");
        request.SetPeriod(60);
        request.SetStatistic(Aws::CloudWatch::Model::Statistic::Average);
        request.SetThreshold(70.0);
        request.SetActionsEnabled(false);
        request.SetAlarmDescription("Alarm when server CPU exceeds 70%");
        request.SetUnit(Aws::CloudWatch::Model::StandardUnit::Seconds);

        Aws::CloudWatch::Model::Dimension dimension;
        dimension.SetName("InstanceId");
        dimension.SetValue(instanceId);

        request.AddDimensions(dimension);

        auto outcome = cw.PutMetricAlarm(request);
        if (!outcome.IsSuccess())
        {
            std::cout << "Failed to create CloudWatch alarm:" <<
                outcome.GetError().GetMessage() << std::endl;
        }
        else
        {
            std::cout << "Successfully created CloudWatch alarm " << alarm_name
                << std::endl;
        }
```
+  Para obtener más información sobre la API, consulta [PutMetricAlarm](https://docs.aws.amazon.com/goto/SdkForCpp/monitoring-2010-08-01/PutMetricAlarm)la *Referencia AWS SDK para C\$1\$1 de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Envío de un mensaje por correo electrónico de Amazon Simple Notification Service cuando el uso de la CPU supere el 70 por ciento**  
El siguiente ejemplo usa el comando `put-metric-alarm` para enviar un mensaje por correo electrónico de Amazon Simple Notification Service cuando el uso de la CPU supere el 70 por ciento:  

```
aws cloudwatch put-metric-alarm --alarm-name cpu-mon --alarm-description "Alarm when CPU exceeds 70 percent" --metric-name CPUUtilization --namespace AWS/EC2 --statistic Average --period 300 --threshold 70 --comparison-operator GreaterThanThreshold  --dimensions "Name=InstanceId,Value=i-12345678" --evaluation-periods 2 --alarm-actions arn:aws:sns:us-east-1:111122223333:MyTopic --unit Percent
```
Este comando vuelve a la petición si se ejecuta correctamente. Si existe una alarma con el mismo nombre, la alarma nueva la sobrescribirá.  
**Especificación de varias dimensiones**  
En el siguiente ejemplo, se ilustra cómo especificar varias dimensiones. Cada dimensión se especifica como un Name/Value par, con una coma entre el nombre y el valor. Cuando existen varias dimensiones se separan con un espacio:  

```
aws cloudwatch put-metric-alarm --alarm-name "Default_Test_Alarm3" --alarm-description "The default example alarm" --namespace "CW EXAMPLE METRICS" --metric-name Default_Test --statistic Average --period 60 --evaluation-periods 3 --threshold 50 --comparison-operator GreaterThanOrEqualToThreshold --dimensions Name=key1,Value=value1 Name=key2,Value=value2
```
+  Para obtener más información sobre la API, consulte [PutMetricAlarm](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/put-metric-alarm.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Creates an alarm based on the configuration provided in a JSON file.
     *
     * @param fileName the name of the JSON file containing the alarm configuration
     * @return a CompletableFuture that represents the asynchronous operation of creating the alarm
     * @throws RuntimeException if an exception occurs while reading the JSON file or creating the alarm
     */
    public CompletableFuture<String> createAlarmAsync(String fileName) {
        com.fasterxml.jackson.databind.JsonNode rootNode;
        try {
            JsonParser parser = new JsonFactory().createParser(new File(fileName));
            rootNode = new ObjectMapper().readTree(parser);
        } catch (IOException e) {
            throw new RuntimeException("Failed to read the alarm configuration file", e);
        }

        // Extract values from the JSON node.
        String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
        String customMetricName = rootNode.findValue("customMetricName").asText();
        String alarmName = rootNode.findValue("exampleAlarmName").asText();
        String emailTopic = rootNode.findValue("emailTopic").asText();
        String accountId = rootNode.findValue("accountId").asText();
        String region = rootNode.findValue("region").asText();

        // Create a List for alarm actions.
        List<String> alarmActions = new ArrayList<>();
        alarmActions.add("arn:aws:sns:" + region + ":" + accountId + ":" + emailTopic);

        PutMetricAlarmRequest alarmRequest = PutMetricAlarmRequest.builder()
            .alarmActions(alarmActions)
            .alarmDescription("Example metric alarm")
            .alarmName(alarmName)
            .comparisonOperator(ComparisonOperator.GREATER_THAN_OR_EQUAL_TO_THRESHOLD)
            .threshold(100.00)
            .metricName(customMetricName)
            .namespace(customMetricNamespace)
            .evaluationPeriods(1)
            .period(10)
            .statistic("Maximum")
            .datapointsToAlarm(1)
            .treatMissingData("ignore")
            .build();

        // Call the putMetricAlarm asynchronously and handle the result.
        return getAsyncClient().putMetricAlarm(alarmRequest)
            .handle((response, ex) -> {
                if (ex != null) {
                    logger.info("Failed to create alarm: {}", ex.getMessage());
                    throw new RuntimeException("Failed to create alarm", ex);
                } else {
                    logger.info("{} was successfully created!", alarmName);
                    return alarmName;
                }
            });
    }
```
+  Para obtener más información sobre la API, consulta [PutMetricAlarm](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutMetricAlarm)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ JavaScript ]

**SDK para JavaScript (v3)**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples). 
Importar el SDK y los módulos de cliente, y llamar a la API.  

```
import { PutMetricAlarmCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  // This alarm triggers when CPUUtilization exceeds 70% for one minute.
  const command = new PutMetricAlarmCommand({
    AlarmName: process.env.CLOUDWATCH_ALARM_NAME, // Set the value of CLOUDWATCH_ALARM_NAME to the name of an existing alarm.
    ComparisonOperator: "GreaterThanThreshold",
    EvaluationPeriods: 1,
    MetricName: "CPUUtilization",
    Namespace: "AWS/EC2",
    Period: 60,
    Statistic: "Average",
    Threshold: 70.0,
    ActionsEnabled: false,
    AlarmDescription: "Alarm when server CPU exceeds 70%",
    Dimensions: [
      {
        Name: "InstanceId",
        Value: process.env.EC2_INSTANCE_ID, // Set the value of EC_INSTANCE_ID to the Id of an existing Amazon EC2 instance.
      },
    ],
    Unit: "Percent",
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
Cree el cliente en un módulo separado y expórtelo.  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-putmetricalarm). 
+  Para obtener más información sobre la API, consulta [PutMetricAlarm](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/PutMetricAlarmCommand)la *Referencia AWS SDK para JavaScript de la API*. 

**SDK para JavaScript (v2)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/cloudwatch#code-examples). 

```
// Load the AWS SDK for Node.js
var AWS = require("aws-sdk");
// Set the region
AWS.config.update({ region: "REGION" });

// Create CloudWatch service object
var cw = new AWS.CloudWatch({ apiVersion: "2010-08-01" });

var params = {
  AlarmName: "Web_Server_CPU_Utilization",
  ComparisonOperator: "GreaterThanThreshold",
  EvaluationPeriods: 1,
  MetricName: "CPUUtilization",
  Namespace: "AWS/EC2",
  Period: 60,
  Statistic: "Average",
  Threshold: 70.0,
  ActionsEnabled: false,
  AlarmDescription: "Alarm when server CPU exceeds 70%",
  Dimensions: [
    {
      Name: "InstanceId",
      Value: "INSTANCE_ID",
    },
  ],
  Unit: "Percent",
};

cw.putMetricAlarm(params, function (err, data) {
  if (err) {
    console.log("Error", err);
  } else {
    console.log("Success", data);
  }
});
```
+  Para obtener más información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-creating-alarms.html#cloudwatch-examples-creating-alarms-putmetricalarm). 
+  Para obtener más información sobre la API, consulta [PutMetricAlarm](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/monitoring-2010-08-01/PutMetricAlarm)la *Referencia AWS SDK para JavaScript de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun putMetricAlarm(
    alarmNameVal: String,
    instanceIdVal: String,
) {
    val dimensionOb =
        Dimension {
            name = "InstanceId"
            value = instanceIdVal
        }

    val request =
        PutMetricAlarmRequest {
            alarmName = alarmNameVal
            comparisonOperator = ComparisonOperator.GreaterThanThreshold
            evaluationPeriods = 1
            metricName = "CPUUtilization"
            namespace = "AWS/EC2"
            period = 60
            statistic = Statistic.fromValue("Average")
            threshold = 70.0
            actionsEnabled = false
            alarmDescription = "An Alarm created by the Kotlin SDK when server CPU utilization exceeds 70%"
            unit = StandardUnit.fromValue("Seconds")
            dimensions = listOf(dimensionOb)
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putMetricAlarm(request)
        println("Successfully created an alarm with name $alarmNameVal")
    }
}
```
+  Para obtener más información sobre la API, consulta [PutMetricAlarm](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ Python ]

**SDK para Python (Boto3)**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples). 

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def create_metric_alarm(
        self,
        metric_namespace,
        metric_name,
        alarm_name,
        stat_type,
        period,
        eval_periods,
        threshold,
        comparison_op,
    ):
        """
        Creates an alarm that watches a metric.

        :param metric_namespace: The namespace of the metric.
        :param metric_name: The name of the metric.
        :param alarm_name: The name of the alarm.
        :param stat_type: The type of statistic the alarm watches.
        :param period: The period in which metric data are grouped to calculate
                       statistics.
        :param eval_periods: The number of periods that the metric must be over the
                             alarm threshold before the alarm is set into an alarmed
                             state.
        :param threshold: The threshold value to compare against the metric statistic.
        :param comparison_op: The comparison operation used to compare the threshold
                              against the metric.
        :return: The newly created alarm.
        """
        try:
            metric = self.cloudwatch_resource.Metric(metric_namespace, metric_name)
            alarm = metric.put_alarm(
                AlarmName=alarm_name,
                Statistic=stat_type,
                Period=period,
                EvaluationPeriods=eval_periods,
                Threshold=threshold,
                ComparisonOperator=comparison_op,
            )
            logger.info(
                "Added alarm %s to track metric %s.%s.",
                alarm_name,
                metric_namespace,
                metric_name,
            )
        except ClientError:
            logger.exception(
                "Couldn't add alarm %s to metric %s.%s",
                alarm_name,
                metric_namespace,
                metric_name,
            )
            raise
        else:
            return alarm
```
+  Para obtener más información sobre la API, consulta [PutMetricAlarm](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricAlarm)la *AWS Referencia de API de SDK for Python (Boto3*). 

------
#### [ Ruby ]

**SDK para Ruby**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/example_code/cloudwatch#code-examples). 

```
# Creates or updates an alarm in Amazon CloudWatch.
#
# @param cloudwatch_client [Aws::CloudWatch::Client]
#   An initialized CloudWatch client.
# @param alarm_name [String] The name of the alarm.
# @param alarm_description [String] A description about the alarm.
# @param metric_name [String] The name of the metric associated with the alarm.
# @param alarm_actions [Array] A list of Strings representing the
#   Amazon Resource Names (ARNs) to execute when the alarm transitions to the
#   ALARM state.
# @param namespace [String] The namespace for the metric to alarm on.
# @param statistic [String] The statistic for the metric.
# @param dimensions [Array] A list of dimensions for the metric, specified as
#   Aws::CloudWatch::Types::Dimension.
# @param period [Integer] The number of seconds before re-evaluating the metric.
# @param unit [String] The unit of measure for the statistic.
# @param evaluation_periods [Integer] The number of periods over which data is
#   compared to the specified threshold.
# @param theshold [Float] The value against which the specified statistic is compared.
# @param comparison_operator [String] The arithmetic operation to use when
#   comparing the specified statistic and threshold.
# @return [Boolean] true if the alarm was created or updated; otherwise, false.
# @example
#   exit 1 unless alarm_created_or_updated?(
#     Aws::CloudWatch::Client.new(region: 'us-east-1'),
#     'ObjectsInBucket',
#     'Objects exist in this bucket for more than 1 day.',
#     'NumberOfObjects',
#     ['arn:aws:sns:us-east-1:111111111111:Default_CloudWatch_Alarms_Topic'],
#     'AWS/S3',
#     'Average',
#     [
#       {
#         name: 'BucketName',
#         value: 'amzn-s3-demo-bucket'
#       },
#       {
#         name: 'StorageType',
#         value: 'AllStorageTypes'
#       }
#     ],
#     86_400,
#     'Count',
#     1,
#     1,
#     'GreaterThanThreshold'
#   )
def alarm_created_or_updated?(
  cloudwatch_client,
  alarm_name,
  alarm_description,
  metric_name,
  alarm_actions,
  namespace,
  statistic,
  dimensions,
  period,
  unit,
  evaluation_periods,
  threshold,
  comparison_operator
)
  cloudwatch_client.put_metric_alarm(
    alarm_name: alarm_name,
    alarm_description: alarm_description,
    metric_name: metric_name,
    alarm_actions: alarm_actions,
    namespace: namespace,
    statistic: statistic,
    dimensions: dimensions,
    period: period,
    unit: unit,
    evaluation_periods: evaluation_periods,
    threshold: threshold,
    comparison_operator: comparison_operator
  )
  true
rescue StandardError => e
  puts "Error creating alarm: #{e.message}"
  false
end
```
+  Para obtener más información sobre la API, consulta [PutMetricAlarm](https://docs.aws.amazon.com/goto/SdkForRubyV3/monitoring-2010-08-01/PutMetricAlarm)la *Referencia AWS SDK para Ruby de la API*. 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    TRY.
        lo_cwt->putmetricalarm(
          iv_alarmname                 = iv_alarm_name
          iv_comparisonoperator        = iv_comparison_operator
          iv_evaluationperiods         = iv_evaluation_periods
          iv_metricname                = iv_metric_name
          iv_namespace                 = iv_namespace
          iv_statistic                 = iv_statistic
          iv_threshold                 = iv_threshold
          iv_actionsenabled            = iv_actions_enabled
          iv_alarmdescription          = iv_alarm_description
          iv_unit                      = iv_unit
          iv_period                    = iv_period
          it_dimensions                = it_dimensions ).
        MESSAGE 'Alarm created.' TYPE 'I'.
      CATCH /aws1/cx_cwtlimitexceededfault.
        MESSAGE 'The request processing has exceeded the limit' TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [PutMetricAlarm](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)la *referencia sobre la API ABAP del AWS SDK para SAP*. 

------

# Úselo `PutMetricData` con un AWS SDK o CLI
<a name="cloudwatch_example_cloudwatch_PutMetricData_section"></a>

Los siguientes ejemplos de código muestran cómo utilizar `PutMetricData`.

Los ejemplos de acciones son extractos de código de programas más grandes y deben ejecutarse en contexto. Puede ver esta acción en contexto en los siguientes ejemplos de código: 
+  [Conceptos básicos](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 
+  [Gestionar métricas y alarmas](cloudwatch_example_cloudwatch_Usage_MetricsAlarms_section.md) 

------
#### [ .NET ]

**SDK para .NET (v4)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples). 

```
    /// <summary>
    /// Add some metric data using a call to a wrapper class.
    /// </summary>
    /// <param name="customMetricName">The metric name.</param>
    /// <param name="customMetricNamespace">The metric namespace.</param>
    /// <returns></returns>
    private static async Task<List<MetricDatum>> PutRandomMetricData(string customMetricName,
        string customMetricNamespace)
    {
        List<MetricDatum> customData = new List<MetricDatum>();
        Random rnd = new Random();

        // Add 10 random values up to 100, starting with a timestamp 15 minutes in the past.
        var utcNowMinus15 = DateTime.UtcNow.AddMinutes(-15);
        for (int i = 0; i < 10; i++)
        {
            var metricValue = rnd.Next(0, 100);
            customData.Add(
                new MetricDatum
                {
                    MetricName = customMetricName,
                    Value = metricValue,
                    TimestampUtc = utcNowMinus15.AddMinutes(i)
                }
            );
        }

        await _cloudWatchWrapper.PutMetricData(customMetricNamespace, customData);
        return customData;
    }

    /// <summary>
    /// Wrapper to add metric data to a CloudWatch metric.
    /// </summary>
    /// <param name="metricNamespace">The namespace of the metric.</param>
    /// <param name="metricData">A data object for the metric data.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> PutMetricData(string metricNamespace,
        List<MetricDatum> metricData)
    {
        var putDataResponse = await _amazonCloudWatch.PutMetricDataAsync(
            new PutMetricDataRequest()
            {
                MetricData = metricData,
                Namespace = metricNamespace,
            });

        return putDataResponse.HttpStatusCode == HttpStatusCode.OK;
    }
```
+  Para obtener más información sobre la API, consulta [PutMetricData](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutMetricData)la *Referencia AWS SDK para .NET de la API*. 

------
#### [ C\$1\$1 ]

**SDK para C\$1\$1**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/cloudwatch#code-examples). 
Incluir los archivos requeridos.  

```
#include <aws/core/Aws.h>
#include <aws/monitoring/CloudWatchClient.h>
#include <aws/monitoring/model/PutMetricDataRequest.h>
#include <iostream>
```
Coloque datos en la métrica  

```
        Aws::CloudWatch::CloudWatchClient cw;

        Aws::CloudWatch::Model::Dimension dimension;
        dimension.SetName("UNIQUE_PAGES");
        dimension.SetValue("URLS");

        Aws::CloudWatch::Model::MetricDatum datum;
        datum.SetMetricName("PAGES_VISITED");
        datum.SetUnit(Aws::CloudWatch::Model::StandardUnit::None);
        datum.SetValue(data_point);
        datum.AddDimensions(dimension);

        Aws::CloudWatch::Model::PutMetricDataRequest request;
        request.SetNamespace("SITE/TRAFFIC");
        request.AddMetricData(datum);

        auto outcome = cw.PutMetricData(request);
        if (!outcome.IsSuccess())
        {
            std::cout << "Failed to put sample metric data:" <<
                outcome.GetError().GetMessage() << std::endl;
        }
        else
        {
            std::cout << "Successfully put sample metric data" << std::endl;
        }
```
+  Para obtener más información sobre la API, consulta [PutMetricData](https://docs.aws.amazon.com/goto/SdkForCpp/monitoring-2010-08-01/PutMetricData)la *Referencia AWS SDK para C\$1\$1 de la API*. 

------
#### [ CLI ]

**AWS CLI**  
**Para publicar una métrica personalizada en Amazon CloudWatch**  
En el siguiente ejemplo, se utiliza el `put-metric-data` comando para publicar una métrica personalizada en Amazon CloudWatch:  

```
aws cloudwatch put-metric-data --namespace "Usage Metrics" --metric-data file://metric.json
```
Los valores de la métrica en sí se almacenan en el archivo JSON, `metric.json`.  
A continuación, se muestra el contenido de ese archivo:  

```
[
  {
    "MetricName": "New Posts",
    "Timestamp": "Wednesday, June 12, 2013 8:28:20 PM",
    "Value": 0.50,
    "Unit": "Count"
  }
]
```
Para obtener más información, consulte Publicar métricas personalizadas en la *Guía para CloudWatch desarrolladores de Amazon*.  
**Cómo especificar varias dimensiones**  
En el siguiente ejemplo, se ilustra cómo especificar varias dimensiones. Cada dimensión se especifica con un par Nombre=Valor. Cuando existen varias dimensiones se separan con una coma:  

```
aws cloudwatch put-metric-data --metric-name Buffers --namespace MyNameSpace --unit Bytes --value 231434333 --dimensions InstanceID=1-23456789,InstanceType=m1.small
```
+  Para obtener más información sobre la API, consulte [PutMetricData](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/put-metric-data.html)la *Referencia de AWS CLI comandos*. 

------
#### [ Java ]

**SDK para Java 2.x**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples). 

```
    /**
     * Adds metric data for an alarm asynchronously.
     *
     * @param fileName the name of the JSON file containing the metric data
     * @return a CompletableFuture that asynchronously returns the PutMetricDataResponse
     */
    public CompletableFuture<PutMetricDataResponse> addMetricDataForAlarmAsync(String fileName) {
        CompletableFuture<String> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(parser);
                return rootNode.toString(); // Return JSON as a string for further processing
            } catch (IOException e) {
                throw new RuntimeException("Failed to read file", e);
            }
        });

        return readFileFuture.thenCompose(jsonContent -> {
            try {
                com.fasterxml.jackson.databind.JsonNode rootNode = new ObjectMapper().readTree(jsonContent);
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();
                Instant instant = Instant.now();

                // Create MetricDatum objects.
                MetricDatum datum1 = MetricDatum.builder()
                    .metricName(customMetricName)
                    .unit(StandardUnit.NONE)
                    .value(1001.00)
                    .timestamp(instant)
                    .build();

                MetricDatum datum2 = MetricDatum.builder()
                    .metricName(customMetricName)
                    .unit(StandardUnit.NONE)
                    .value(1002.00)
                    .timestamp(instant)
                    .build();

                List<MetricDatum> metricDataList = new ArrayList<>();
                metricDataList.add(datum1);
                metricDataList.add(datum2);

                // Build the PutMetricData request.
                PutMetricDataRequest request = PutMetricDataRequest.builder()
                    .namespace(customMetricNamespace)
                    .metricData(metricDataList)
                    .build();

                // Send the request asynchronously.
                return getAsyncClient().putMetricData(request);

            } catch (IOException e) {
                CompletableFuture<PutMetricDataResponse> failedFuture = new CompletableFuture<>();
                failedFuture.completeExceptionally(new RuntimeException("Failed to parse JSON content", e));
                return failedFuture;
            }
        }).whenComplete((response, exception) -> {
            if (exception != null) {
                logger.error("Failed to put metric data: " + exception.getMessage(), exception);
            } else {
                logger.info("Added metric values for metric.");
            }
        });
    }
```
+  Para obtener más información sobre la API, consulta [PutMetricData](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutMetricData)la *Referencia AWS SDK for Java 2.x de la API*. 

------
#### [ JavaScript ]

**SDK para JavaScript (v3)**  
 Hay más información. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cloudwatch#code-examples). 
Importar el SDK y los módulos de cliente, y llamar a la API.  

```
import { PutMetricDataCommand } from "@aws-sdk/client-cloudwatch";
import { client } from "../libs/client.js";

const run = async () => {
  // See https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_PutMetricData.html#API_PutMetricData_RequestParameters
  // and https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.html
  // for more information about the parameters in this command.
  const command = new PutMetricDataCommand({
    MetricData: [
      {
        MetricName: "PAGES_VISITED",
        Dimensions: [
          {
            Name: "UNIQUE_PAGES",
            Value: "URLS",
          },
        ],
        Unit: "None",
        Value: 1.0,
      },
    ],
    Namespace: "SITE/TRAFFIC",
  });

  try {
    return await client.send(command);
  } catch (err) {
    console.error(err);
  }
};

export default run();
```
Cree el cliente en un módulo separado y expórtelo.  

```
import { CloudWatchClient } from "@aws-sdk/client-cloudwatch";

export const client = new CloudWatchClient({});
```
+  Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/cloudwatch-examples-getting-metrics.html#cloudwatch-examples-getting-metrics-publishing-custom). 
+  Para obtener más información sobre la API, consulta [PutMetricData](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/cloudwatch/command/PutMetricDataCommand)la *Referencia AWS SDK para JavaScript de la API*. 

**SDK para JavaScript (v2)**  
 Hay más información GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/cloudwatch#code-examples). 

```
// Load the AWS SDK for Node.js
var AWS = require("aws-sdk");
// Set the region
AWS.config.update({ region: "REGION" });

// Create CloudWatch service object
var cw = new AWS.CloudWatch({ apiVersion: "2010-08-01" });

// Create parameters JSON for putMetricData
var params = {
  MetricData: [
    {
      MetricName: "PAGES_VISITED",
      Dimensions: [
        {
          Name: "UNIQUE_PAGES",
          Value: "URLS",
        },
      ],
      Unit: "None",
      Value: 1.0,
    },
  ],
  Namespace: "SITE/TRAFFIC",
};

cw.putMetricData(params, function (err, data) {
  if (err) {
    console.log("Error", err);
  } else {
    console.log("Success", JSON.stringify(data));
  }
});
```
+  Para obtener más información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/cloudwatch-examples-getting-metrics.html#cloudwatch-examples-getting-metrics-publishing-custom). 
+  Para obtener más información sobre la API, consulta [PutMetricData](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/monitoring-2010-08-01/PutMetricData)la *Referencia AWS SDK para JavaScript de la API*. 

------
#### [ Kotlin ]

**SDK para Kotlin**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples). 

```
suspend fun addMetricDataForAlarm(fileName: String?) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    // Set an Instant object.
    val time = ZonedDateTime.now(ZoneOffset.UTC).format(DateTimeFormatter.ISO_INSTANT)
    val instant = Instant.parse(time)
    val datum =
        MetricDatum {
            metricName = customMetricName
            unit = StandardUnit.None
            value = 1001.00
            timestamp =
                aws.smithy.kotlin.runtime.time
                    .Instant(instant)
        }

    val datum2 =
        MetricDatum {
            metricName = customMetricName
            unit = StandardUnit.None
            value = 1002.00
            timestamp =
                aws.smithy.kotlin.runtime.time
                    .Instant(instant)
        }

    val metricDataList = ArrayList<MetricDatum>()
    metricDataList.add(datum)
    metricDataList.add(datum2)

    val request =
        PutMetricDataRequest {
            namespace = customMetricNamespace
            metricData = metricDataList
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putMetricData(request)
        println("Added metric values for for metric $customMetricName")
    }
}
```
+  Para obtener más información sobre la API, consulta [PutMetricData](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la *referencia sobre el AWS SDK para la API de Kotlin*. 

------
#### [ PowerShell ]

**Herramientas para la versión PowerShell 4**  
**Ejemplo 1: crea un MetricDatum objeto nuevo y lo escribe en Amazon Web Services CloudWatch Metrics.**  

```
### Create a MetricDatum .NET object
$Metric = New-Object -TypeName Amazon.CloudWatch.Model.MetricDatum
$Metric.Timestamp = [DateTime]::UtcNow
$Metric.MetricName = 'CPU'
$Metric.Value = 50

### Write the metric data to the CloudWatch service
Write-CWMetricData -Namespace instance1 -MetricData $Metric
```
+  Para obtener más información sobre la API, consulte [PutMetricData](https://docs.aws.amazon.com/powershell/v4/reference)la *referencia de Herramientas de AWS para PowerShell cmdlets (V4)*. 

**Herramientas para la versión 5 PowerShell **  
**Ejemplo 1: crea un MetricDatum objeto nuevo y lo escribe en Amazon Web Services CloudWatch Metrics.**  

```
### Create a MetricDatum .NET object
$Metric = New-Object -TypeName Amazon.CloudWatch.Model.MetricDatum
$Metric.Timestamp = [DateTime]::UtcNow
$Metric.MetricName = 'CPU'
$Metric.Value = 50

### Write the metric data to the CloudWatch service
Write-CWMetricData -Namespace instance1 -MetricData $Metric
```
+  Para obtener más información sobre la API, consulte [PutMetricData Herramientas de AWS para PowerShell](https://docs.aws.amazon.com/powershell/v5/reference)*Cmdlet Reference (V5)*. 

------
#### [ Python ]

**SDK para Python (Boto3)**  
 Hay más información sobre. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/cloudwatch#code-examples). 

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def put_metric_data(self, namespace, name, value, unit):
        """
        Sends a single data value to CloudWatch for a metric. This metric is given
        a timestamp of the current UTC time.

        :param namespace: The namespace of the metric.
        :param name: The name of the metric.
        :param value: The value of the metric.
        :param unit: The unit of the metric.
        """
        try:
            metric = self.cloudwatch_resource.Metric(namespace, name)
            metric.put_data(
                Namespace=namespace,
                MetricData=[{"MetricName": name, "Value": value, "Unit": unit}],
            )
            logger.info("Put data for metric %s.%s", namespace, name)
        except ClientError:
            logger.exception("Couldn't put data for metric %s.%s", namespace, name)
            raise
```
Coloca un conjunto de datos en una CloudWatch métrica.  

```
class CloudWatchWrapper:
    """Encapsulates Amazon CloudWatch functions."""

    def __init__(self, cloudwatch_resource):
        """
        :param cloudwatch_resource: A Boto3 CloudWatch resource.
        """
        self.cloudwatch_resource = cloudwatch_resource


    def put_metric_data_set(self, namespace, name, timestamp, unit, data_set):
        """
        Sends a set of data to CloudWatch for a metric. All of the data in the set
        have the same timestamp and unit.

        :param namespace: The namespace of the metric.
        :param name: The name of the metric.
        :param timestamp: The UTC timestamp for the metric.
        :param unit: The unit of the metric.
        :param data_set: The set of data to send. This set is a dictionary that
                         contains a list of values and a list of corresponding counts.
                         The value and count lists must be the same length.
        """
        try:
            metric = self.cloudwatch_resource.Metric(namespace, name)
            metric.put_data(
                Namespace=namespace,
                MetricData=[
                    {
                        "MetricName": name,
                        "Timestamp": timestamp,
                        "Values": data_set["values"],
                        "Counts": data_set["counts"],
                        "Unit": unit,
                    }
                ],
            )
            logger.info("Put data set for metric %s.%s.", namespace, name)
        except ClientError:
            logger.exception("Couldn't put data set for metric %s.%s.", namespace, name)
            raise
```
+  Para obtener más información sobre la API, consulta [PutMetricData](https://docs.aws.amazon.com/goto/boto3/monitoring-2010-08-01/PutMetricData)la *AWS Referencia de API de SDK for Python (Boto3*). 

------
#### [ Ruby ]

**SDK para Ruby**  
 Hay más información al respecto. GitHub Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/example_code/cloudwatch#code-examples). 

```
require 'aws-sdk-cloudwatch'

# Adds a datapoint to a metric in Amazon CloudWatch.
#
# @param cloudwatch_client [Aws::CloudWatch::Client]
#   An initialized CloudWatch client.
# @param metric_namespace [String] The namespace of the metric to add the
#   datapoint to.
# @param metric_name [String] The name of the metric to add the datapoint to.
# @param dimension_name [String] The name of the dimension to add the
#   datapoint to.
# @param dimension_value [String] The value of the dimension to add the
#   datapoint to.
# @param metric_value [Float] The value of the datapoint.
# @param metric_unit [String] The unit of measurement for the datapoint.
# @return [Boolean]
# @example
#   exit 1 unless datapoint_added_to_metric?(
#     Aws::CloudWatch::Client.new(region: 'us-east-1'),
#     'SITE/TRAFFIC',
#     'UniqueVisitors',
#     'SiteName',
#     'example.com',
#     5_885.0,
#     'Count'
#   )
def datapoint_added_to_metric?(
  cloudwatch_client,
  metric_namespace,
  metric_name,
  dimension_name,
  dimension_value,
  metric_value,
  metric_unit
)
  cloudwatch_client.put_metric_data(
    namespace: metric_namespace,
    metric_data: [
      {
        metric_name: metric_name,
        dimensions: [
          {
            name: dimension_name,
            value: dimension_value
          }
        ],
        value: metric_value,
        unit: metric_unit
      }
    ]
  )
  puts "Added data about '#{metric_name}' to namespace " \
    "'#{metric_namespace}'."
  true
rescue StandardError => e
  puts "Error adding data about '#{metric_name}' to namespace " \
    "'#{metric_namespace}': #{e.message}"
  false
end
```
+  Para obtener más información sobre la API, consulta [PutMetricData](https://docs.aws.amazon.com/goto/SdkForRubyV3/monitoring-2010-08-01/PutMetricData)la *Referencia AWS SDK para Ruby de la API*. 

------
#### [ SAP ABAP ]

**SDK para SAP ABAP**  
 Hay más información al respecto GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/cwt#code-examples). 

```
    DATA lt_metricdata TYPE /aws1/cl_cwtmetricdatum=>tt_metricdata.

    "Create metric data object.
    DATA(lo_metricdatum) = NEW /aws1/cl_cwtmetricdatum(
      iv_metricname = iv_metric_name
      iv_value      = iv_value
      iv_unit       = iv_unit ).

    INSERT lo_metricdatum INTO TABLE lt_metricdata.

    TRY.
        lo_cwt->putmetricdata(
          iv_namespace   = iv_namespace
          it_metricdata  = lt_metricdata ).
        MESSAGE 'Metric data added.' TYPE 'I'.
      CATCH /aws1/cx_cwtinvparamvalueex.
        MESSAGE 'The specified argument was not valid.' TYPE 'E'.
    ENDTRY.
```
Coloca un conjunto de datos en una CloudWatch métrica.  

```
    DATA lt_metricdata TYPE /aws1/cl_cwtmetricdatum=>tt_metricdata.

    "Create metric data object with values and counts.
    DATA(lo_metricdatum) = NEW /aws1/cl_cwtmetricdatum(
      iv_metricname = iv_metric_name
      iv_timestamp  = iv_timestamp
      iv_unit       = iv_unit
      it_values     = it_values
      it_counts     = it_counts ).

    INSERT lo_metricdatum INTO TABLE lt_metricdata.

    TRY.
        lo_cwt->putmetricdata(
          iv_namespace   = iv_namespace
          it_metricdata  = lt_metricdata ).
        MESSAGE 'Metric data set added.' TYPE 'I'.
      CATCH /aws1/cx_cwtinvparamvalueex.
        MESSAGE 'The specified argument was not valid.' TYPE 'E'.
    ENDTRY.
```
+  Para obtener más información sobre la API, consulte [PutMetricData](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)en el *AWS SDK la referencia sobre la API ABAP de SAP*. 

------