PutMetricDataÚselo con un AWS SDK o CLI

    /// <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;
    }

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 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 JSON archivo,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

    public static void addMetricDataForAlarm(CloudWatchClient cw, String fileName) {
        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);
            String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
            String customMetricName = rootNode.findValue("customMetricName").asText();

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

            MetricDatum datum = 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(datum);
            metricDataList.add(datum2);

            PutMetricDataRequest request = PutMetricDataRequest.builder()
                    .namespace(customMetricNamespace)
                    .metricData(metricDataList)
                    .build();

            cw.putMetricData(request);
            System.out.println("Added metric values for for metric " + customMetricName);

        } catch (CloudWatchException | IOException e) {
            System.err.println(e.getMessage());
            System.exit(1);
        }
    }

Importe los módulos SDK y del cliente y llame alAPI.

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({});

// 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));
  }
});

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

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

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

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}'."
  return true
rescue StandardError => e
  puts "Error adding data about '#{metric_name}' to namespace " \
    "'#{metric_namespace}': #{e.message}"
  return false
end