Google cloud platform Google对延迟数据的自定义度量跟踪

我正在使用基于REST调用的外部服务，我希望跟踪服务响应我的请求所花费的时间。我的代码是用C#（core v2.2）编写的

我计划计算所有HTTP请求的时间（使用

Stopwatch

），并将此信息保存在

列表中。每隔60秒，我会将列表中的跟踪信息写入谷歌自定义指标

最后，我希望在图中看到执行的
平均时间

这是我目前的代码：

public class CustomMetricsWritter
{
    public CustomMetricsWritter(string projectId)
    {
        this.Client = MetricServiceClient.Create();
        this.ProjectId = projectId;
    }

    private MetricServiceClient Client { get; set; }

    public string ProjectId { get; private set; }

    public object CreateMetric(string metricType, string title, string description, string unit)
    {
        // Prepare custom metric descriptor.      
        MetricDescriptor metricDescriptor = new MetricDescriptor();
        metricDescriptor.DisplayName = title;
        metricDescriptor.Description = description;
        metricDescriptor.MetricKind = MetricKind.Gauge;
        metricDescriptor.ValueType = MetricDescriptor.Types.ValueType.Double;
        metricDescriptor.Type = metricType;
        metricDescriptor.Unit = unit;

        CreateMetricDescriptorRequest request = new CreateMetricDescriptorRequest
        {
            ProjectName = new ProjectName(this.ProjectId),
        };
        request.MetricDescriptor = metricDescriptor;
        // Make the request.
        return Client.CreateMetricDescriptor(request);
    }

    public static readonly DateTime UnixEpoch = new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc);

    public async Task WriteTimeSeriesDataAsync(string metricDescriptor, TypedValue[] points, string machineName)
    {
        // Initialize request argument(s).
        ProjectName name = new ProjectName(this.ProjectId);
        // Prepare a data point. 

        Timestamp timeStamp = new Timestamp();
        timeStamp.Seconds = (long)(DateTime.UtcNow - UnixEpoch).TotalSeconds;
        TimeInterval interval = new TimeInterval();
        interval.EndTime = timeStamp;

        // Prepare monitored resource.
        MonitoredResource resource = new MonitoredResource();
        resource.Type = "global";
        resource.Labels.Add("project_id", this.ProjectId);

        // Add newly created time series to list of time series to be written.
        List<TimeSeries> timeSeries = new List<TimeSeries>(points.Length);

        // Prepare custom metric.
        Metric metric = new Metric();
        metric.Type = metricDescriptor;
        metric.Labels.Add("machine", machineName);

        // Create a new time series using inputs.
        TimeSeries timeSeriesData = new TimeSeries();
        timeSeriesData.Metric = metric;
        timeSeriesData.Resource = resource;
        foreach (var point in points)
        {
            Point dataPoint = new Point();
            dataPoint.Value = point;
            dataPoint.Interval = interval;
            timeSeriesData.Points.Add(dataPoint);
        }
        timeSeries.Add(timeSeriesData);

        // Write time series data.
        await this.Client.CreateTimeSeriesAsync(name, timeSeries).ConfigureAwait(false);
    }
}

我将返回此抛出的异常：

Grpc.Core.RpcException: Status(StatusCode=InvalidArgument, Detail="One or more TimeSeries could not be written: Field timeSeries[0].points had an invalid value: Only one point can be written per TimeSeries per request.: timeSeries[0]")
   at Google.Api.Gax.Grpc.ApiCallRetryExtensions.<>c__DisplayClass0_0`2.<<WithRetry>b__0>d.MoveNext()
--- End of stack trace from previous location where exception was thrown ---
   at ***.CustomMetricsWritter.WriteTimeSeriesDataAsync(String metricDescriptor, TypedValue[] points, String machineName) in ***\GoogleCloud\CustomMetricsWritter.cs:line 131
   at Test.Program.MainAsync() in ***\Test\Program.cs:line 156

Grpc.Core.RpcException:Status（StatusCode=InvalidArgument，Detail=“无法写入一个或多个时间序列：字段时间序列[0]。点具有无效值：每个请求每个时间序列只能写入一个点。：时间序列[0]”）
在Google.Api.Gax.Grpc.ApiCallRetryExtensions.c_uudisplayClass0_0`2.d.MoveNext（）上
---来自引发异常的上一个位置的堆栈结束跟踪---
位于***\GoogleCloud\CustomMetricsWriter.cs中的***.CustomMetricsWriter.WriteTimesDaaAsync（字符串度量描述符，TypedValue[]点，字符串机器名）：第131行
在***\Test\Program.cs中的Test.Program.MainAsync（）处：第156行

我做错了什么？
我不是C#专家，但这里有一些例子：

我不是C#专家，但这里有一些例子：

嘿，谢谢你的回答。我现有的代码基于这个示例。两者的区别在于我试图将多个值推到同一时间间隔，这看起来是不可能的。作为一种解决方法，每个服务器对所有样本进行
平均值
，并上载单个值。这就解决了问题。嘿，谢谢你的回答。我现有的代码基于这个示例。两者的区别在于我试图将多个值推到同一时间间隔，这看起来是不可能的。作为一种解决方法，每个服务器对所有样本进行
平均值
，并上载单个值。这就解决了问题。
Grpc.Core.RpcException: Status(StatusCode=InvalidArgument, Detail="One or more TimeSeries could not be written: Field timeSeries[0].points had an invalid value: Only one point can be written per TimeSeries per request.: timeSeries[0]")
   at Google.Api.Gax.Grpc.ApiCallRetryExtensions.<>c__DisplayClass0_0`2.<<WithRetry>b__0>d.MoveNext()
--- End of stack trace from previous location where exception was thrown ---
   at ***.CustomMetricsWritter.WriteTimeSeriesDataAsync(String metricDescriptor, TypedValue[] points, String machineName) in ***\GoogleCloud\CustomMetricsWritter.cs:line 131
   at Test.Program.MainAsync() in ***\Test\Program.cs:line 156