Use EnableMetricsCollection with an Amazon SDK or CLI

    /// <summary>
    /// Enable the collection of metric data for an Auto Scaling group.
    /// </summary>
    /// <param name="groupName">The name of the Auto Scaling group.</param>
    /// <returns>A Boolean value indicating the success of the action.</returns>
    public async Task<bool> EnableMetricsCollectionAsync(string groupName)
    {
        var listMetrics = new List<string>
            {
                "GroupMaxSize",
            };

        var collectionRequest = new EnableMetricsCollectionRequest
        {
            AutoScalingGroupName = groupName,
            Metrics = listMetrics,
            Granularity = "1Minute",
        };

        var response = await _amazonAutoScaling.EnableMetricsCollectionAsync(collectionRequest);
        return response.HttpStatusCode == System.Net.HttpStatusCode.OK;
    }

        Aws::Client::ClientConfiguration clientConfig;
        // Optional: Set to the AWS Region (overrides config file).
        // clientConfig.region = "us-east-1";

    Aws::AutoScaling::AutoScalingClient autoScalingClient(clientConfig);

        Aws::AutoScaling::Model::EnableMetricsCollectionRequest request;
        request.SetAutoScalingGroupName(groupName);

        request.AddMetrics("GroupMinSize");
        request.AddMetrics("GroupMaxSize");
        request.AddMetrics("GroupDesiredCapacity");
        request.AddMetrics("GroupInServiceInstances");
        request.AddMetrics("GroupTotalInstances");
        request.SetGranularity("1Minute");

        Aws::AutoScaling::Model::EnableMetricsCollectionOutcome outcome =
                autoScalingClient.EnableMetricsCollection(request);
        if (outcome.IsSuccess()) {
            std::cout << "Auto Scaling metrics have been enabled."
                      << std::endl;
        }
        else {
            std::cerr << "Error with AutoScaling::EnableMetricsCollection. "
                      << outcome.GetError().GetMessage()
                      << std::endl;

        }

Example 1: To enable metrics collection for an Auto Scaling group

This example enables data collection for the specified Auto Scaling group.

aws autoscaling enable-metrics-collection \
    --auto-scaling-group-name my-asg \
    --granularity "1Minute"

This command produces no output.

For more information, see Monitoring CloudWatch metrics for your Auto Scaling groups and instances in the Amazon EC2 Auto Scaling User Guide.

Example 2: To collect data for the specified metric for an Auto Scaling group

To collect data for a specific metric, use the --metrics option.

aws autoscaling enable-metrics-collection \
    --auto-scaling-group-name my-asg \
    --metrics GroupDesiredCapacity --granularity "1Minute"

This command produces no output.

For more information, see Monitoring CloudWatch metrics for your Auto Scaling groups and instances in the Amazon EC2 Auto Scaling User Guide.

    public static void enableMetricsCollection(AutoScalingClient autoScalingClient, String groupName) {
        try {
            EnableMetricsCollectionRequest collectionRequest = EnableMetricsCollectionRequest.builder()
                    .autoScalingGroupName(groupName)
                    .metrics("GroupMaxSize")
                    .granularity("1Minute")
                    .build();

            autoScalingClient.enableMetricsCollection(collectionRequest);
            System.out.println("The enable metrics collection operation was successful");

        } catch (AutoScalingException e) {
            System.err.println(e.awsErrorDetails().errorMessage());
            System.exit(1);
        }
    }

suspend fun enableMetricsCollection(groupName: String?) {
    val collectionRequest =
        EnableMetricsCollectionRequest {
            autoScalingGroupName = groupName
            metrics = listOf("GroupMaxSize")
            granularity = "1Minute"
        }

    AutoScalingClient { region = "us-east-1" }.use { autoScalingClient ->
        autoScalingClient.enableMetricsCollection(collectionRequest)
        println("The enable metrics collection operation was successful")
    }
}

    public function enableMetricsCollection($autoScalingGroupName, $granularity)
    {
        return $this->autoScalingClient->enableMetricsCollection([
            'AutoScalingGroupName' => $autoScalingGroupName,
            'Granularity' => $granularity,
        ]);
    }

Example 1: This example enables monitoring of the specified metrics for the specified Auto Scaling group.

Enable-ASMetricsCollection  -Metric @("GroupMinSize", "GroupMaxSize") -AutoScalingGroupName my-asg -Granularity 1Minute

Example 2: This example enables monitoring of all metrics for the specified Auto Scaling group.

Enable-ASMetricsCollection -AutoScalingGroupName my-asg -Granularity 1Minute

Example 1: This example enables monitoring of the specified metrics for the specified Auto Scaling group.

Enable-ASMetricsCollection  -Metric @("GroupMinSize", "GroupMaxSize") -AutoScalingGroupName my-asg -Granularity 1Minute

Example 2: This example enables monitoring of all metrics for the specified Auto Scaling group.

Enable-ASMetricsCollection -AutoScalingGroupName my-asg -Granularity 1Minute

class AutoScalingWrapper:
    """Encapsulates Amazon EC2 Auto Scaling actions."""

    def __init__(self, autoscaling_client):
        """
        :param autoscaling_client: A Boto3 Amazon EC2 Auto Scaling client.
        """
        self.autoscaling_client = autoscaling_client


    def enable_metrics(self, group_name: str, metrics: List[str]) -> Dict[str, Any]:
        """
        Enables CloudWatch metric collection for Amazon EC2 Auto Scaling activities.

        :param group_name: The name of the group to enable.
        :param metrics: A list of metrics to collect.
        :return: A dictionary with the response from enabling the metrics collection.
        :raises ClientError: If there is an error enabling metrics collection.
        """
        try:
            response = self.autoscaling_client.enable_metrics_collection(
                AutoScalingGroupName=group_name, Metrics=metrics, Granularity="1Minute"
            )
            logger.info(
                f"Successfully enabled metrics for Auto Scaling group '{group_name}'."
            )

        except ClientError as err:
            error_code = err.response["Error"]["Code"]
            logger.error(
                f"Couldn't enable metrics on '{group_name}'. Error code: {error_code}, Message: {err.response['Error']['Message']}"
            )

            if error_code == "ResourceContentionFault":
                logger.error(
                    f"There is a conflict with another operation that is modifying the Auto Scaling group '{group_name}'. "
                    "Please try again later."
                )
            elif error_code == "InvalidParameterCombination":
                logger.error(
                    f"The combination of parameters provided for enabling metrics on '{group_name}' is not valid. "
                    "Please check the parameters and try again."
                )
            raise
        else:
            return response

        let enable_metrics_collection = autoscaling
            .enable_metrics_collection()
            .auto_scaling_group_name(auto_scaling_group_name.as_str())
            .granularity("1Minute")
            .set_metrics(Some(vec![
                String::from("GroupMinSize"),
                String::from("GroupMaxSize"),
                String::from("GroupDesiredCapacity"),
                String::from("GroupInServiceInstances"),
                String::from("GroupTotalInstances"),
            ]))
            .send()
            .await;