Use PutMetricData with an AWS SDK or CLI - Amazon CloudWatch

Use PutMetricData with an AWS SDK or CLI

The following code examples show how to use PutMetricData.

Action examples are code excerpts from larger programs and must be run in context. You can see this action in context in the following code examples:

.NET
AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

/// <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; }
  • For API details, see PutMetricData in AWS SDK for .NET API Reference.

C++
SDK for C++
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

Include the required files.

#include <aws/core/Aws.h> #include <aws/monitoring/CloudWatchClient.h> #include <aws/monitoring/model/PutMetricDataRequest.h> #include <iostream>

Put data into the metric.

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; }
  • For API details, see PutMetricData in AWS SDK for C++ API Reference.

CLI
AWS CLI

To publish a custom metric to Amazon CloudWatch

The following example uses the put-metric-data command to publish a custom metric to Amazon CloudWatch:

aws cloudwatch put-metric-data --namespace "Usage Metrics" --metric-data file://metric.json

The values for the metric itself are stored in the JSON file, metric.json.

Here are the contents of that file:

[ { "MetricName": "New Posts", "Timestamp": "Wednesday, June 12, 2013 8:28:20 PM", "Value": 0.50, "Unit": "Count" } ]

For more information, see Publishing Custom Metrics in the Amazon CloudWatch Developer Guide.

To specify multiple dimensions

The following example illustrates how to specify multiple dimensions. Each dimension is specified as a Name=Value pair. Multiple dimensions are separated by a comma.:

aws cloudwatch put-metric-data --metric-name Buffers --namespace MyNameSpace --unit Bytes --value 231434333 --dimensions InstanceID=1-23456789,InstanceType=m1.small
  • For API details, see PutMetricData in AWS CLI Command Reference.

Java
SDK for Java 2.x
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

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); } }
  • For API details, see PutMetricData in AWS SDK for Java 2.x API Reference.

JavaScript
SDK for JavaScript (v3)
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

Import the SDK and client modules and call the 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();

Create the client in a separate module and export it.

import { CloudWatchClient } from "@aws-sdk/client-cloudwatch"; export const client = new CloudWatchClient({});
SDK for JavaScript (v2)
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

// 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)); } });
Kotlin
SDK for Kotlin
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

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") } }
  • For API details, see PutMetricData in AWS SDK for Kotlin API reference.

PowerShell
Tools for PowerShell

Example 1: Creates a new MetricDatum object, and writes it to 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
  • For API details, see PutMetricData in AWS Tools for PowerShell Cmdlet Reference.

Python
SDK for Python (Boto3)
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

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

Put a set of data into a CloudWatch 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_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
  • For API details, see PutMetricData in AWS SDK for Python (Boto3) API Reference.

Ruby
SDK for Ruby
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

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
  • For API details, see PutMetricData in AWS SDK for Ruby API Reference.

For a complete list of AWS SDK developer guides and code examples, see Using CloudWatch with an AWS SDK. This topic also includes information about getting started and details about previous SDK versions.