private static void EmitMetrics(ILogger logger, IMetricsLogger metrics)
{
var dimensionSet = new DimensionSet();
dimensionSet.AddDimension("Service", "Aggregator");
dimensionSet.AddDimension("Region", "us-west-2");
metrics.SetDimensions(dimensionSet);
metrics.PutMetric("ProcessingLatency", 101, Unit.MILLISECONDS);
metrics.PutMetric("ProcessingLatency", 100, Unit.MILLISECONDS);
metrics.PutMetric("ProcessingLatency", 99, Unit.MILLISECONDS);
metrics.PutMetric("Count", 3, Unit.COUNT);
metrics.PutProperty("AccountId", "123456789");
metrics.PutProperty("RequestId", "422b1569-16f6-4a03-b8f0-fe3fd9b100f8");
metrics.PutProperty("DeviceId", "61270781-c6ac-46f1-baf7-22c808af8162");
Dictionary <string, object> payLoad = new Dictionary <string, object>
{
{ "sampleTime", 123456789 },
{ "temperature", 273.0 },
{ "pressure", 101.3 }
};
metrics.PutProperty("Payload", payLoad);
logger.LogInformation("Flushing");
metrics.Flush();
}
public IEnumerable <WeatherForecast> Get()
{
Thread.Sleep(100);
var rng = new Random();
var temperature = rng.Next(-20, 55);
_metrics.PutMetric("Temperature", temperature, Unit.NONE);
return(Enumerable.Range(1, 5).Select(index => new WeatherForecast
{
Date = DateTime.Now.AddDays(index),
TemperatureC = temperature,
Summary = Summaries[rng.Next(Summaries.Length)]
})
.ToArray());
}
