使用 Amazon SDK 获取 CloudWatch 指标统计数据

    /// <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;
    }

获取每个 EC2 实例的 CPU 利用率

以下示例使用 get-metric-statistics 命令获取 ID 为 i-abcdef 的 EC2 实例的 CPU 利用率。

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

输出：

{
    "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"
}

指定多个维度

以下示例说明了如何指定多个维度。每个维度都指定为一个“名称/值”对，名称和值之间用逗号隔开。多个维度之间用空格隔开。如果单个指标包含多个维度，则必须为每个已定义的维度指定一个值。

有关使用 get-metric-statistics 命令的更多示例，请参阅《Amazon CloudWatch 开发人员指南》中的“获取指标的统计数据”。

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

    public static void getAndDisplayMetricStatistics(CloudWatchClient cw, String nameSpace, String metVal,
            String metricOption, String date, Dimension myDimension) {
        try {
            Instant start = Instant.parse(date);
            Instant endDate = Instant.now();

            GetMetricStatisticsRequest statisticsRequest = GetMetricStatisticsRequest.builder()
                    .endTime(endDate)
                    .startTime(start)
                    .dimensions(myDimension)
                    .metricName(metVal)
                    .namespace(nameSpace)
                    .period(86400)
                    .statistics(Statistic.fromValue(metricOption))
                    .build();

            GetMetricStatisticsResponse response = cw.getMetricStatistics(statisticsRequest);
            List<Datapoint> data = response.datapoints();
            if (!data.isEmpty()) {
                for (Datapoint datapoint : data) {
                    System.out
                            .println("Timestamp: " + datapoint.timestamp() + " Maximum value: " + datapoint.maximum());
                }
            } else {
                System.out.println("The returned data list is empty");
            }

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

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")
            }
        }
    }
}

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