This is an experimental version (unofficial)

See prometheus here

Nuget package: prometheus-net

Install-Package prometheus-net

Four types of metric are offered: Counter, Gauge, Summary and Histogram. See the documentation on metric types and instrumentation best practices on how to use them.

Counters go up, and reset when the process restarts.

var counter = Metrics.CreateCounter("myCounter", "some help about this");
counter.Inc(5.5);

Gauges can go up and down.

var gauge = Metrics.CreateGauge("gauge", "help text");
gauge.Inc(3.4);
gauge.Dec(2.1);
gauge.Observe(5.3);

Summaries track the size and number of events.

var summary = Metrics.CreateSummary("mySummary", "help text");
summary.Observe(5.3);

Histograms track the size and number of events in buckets. This allows for aggregatable calculation of quantiles.

var hist = Metrics.CreateHistogram("my_histogram", "help text", buckets: new[] { 0, 0.2, 0.4, 0.6, 0.8, 0.9 });
hist.Observe(0.4);

The default buckets are intended to cover a typical web/rpc request from milliseconds to seconds. They can be overridden passing in the buckets argument.

All metrics can have labels, allowing grouping of related time series.

See the best practices on naming and labels.

Taking a counter as an example:

var counter = Metrics.CreateCounter("myCounter", "help text", labelNames: new []{ "method", "endpoint"});
counter.Labels("GET", "/").Inc();
counter.Labels("POST", "/cancel").Inc();

Metrics are usually exposed over HTTP, to be read by the Prometheus server.

var metricServer = new MetricServer(port: 1234);
metricServer.Start();