Abstractions for Prometheus.Client
$ dotnet add package Prometheus.Client.Abstractions
.NET Client library for prometheus.io
It is hard fork of prometheus-net from early 2017 that has since evolved into a different library.
Our main goals:
You can find the benchmark descriptions.
dotnet add package Prometheus.Client| Name | Description |
|---|---|
| Prometheus.Client.AspNetCore | ASP.NET Core middleware |
| Prometheus.Client.DependencyInjection | Dependency Injection extensions |
| Prometheus.Client.HttpRequestDurations | Metrics logging of request durations |
| Prometheus.Client.MetricPusher | Push metrics to Prometheus PushGateway |
| Prometheus.Client.MetricPusher.HostedService | MetricPusher as HostedService |
| Prometheus.Client.HealthChecks | HealthChecks Publisher |
| Prometheus.Client.MetricServer | Standalone Kestrel server |
| Prometheus.Client.Owin | Owin middleware |
Add metrics endpoint without extension:
[Route("[controller]")]
public class MetricsController : Controller
{
private readonly ICollectorRegistry _registry;
public MetricsController(ICollectorRegistry registry)
{
_registry = registry;
}
[HttpGet]
public async Task Get()
{
Response.StatusCode = 200;
await using var outputStream = Response.Body;
await ScrapeHandler.ProcessAsync(_registry, outputStream);
}
}Add metrics endpoint with Prometheus.Client.AspNetCore:
public void Configure(IApplicationBuilder app, IHostingEnvironment env, ILoggerFactory loggerFactory, IApplicationLifetime appLifetime)
{
app.UsePrometheusServer();
}IMetricFactory and ICollectorRegistry can be added to DI container with Prometheus.Client.DependencyInjection:
public void ConfigureServices(IServiceCollection services)
{
services.AddMetricFactory();
}For collect http requests, use Prometheus.Client.HttpRequestDurations. It does not depend on Prometheus.Client.AspNetCore, however together it's very convenient to use:
public void Configure(IApplicationBuilder app, IHostingEnvironment env, ILoggerFactory loggerFactory, IApplicationLifetime appLifetime)
{
app.UsePrometheusServer();
app.UsePrometheusRequestDurations();
}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 = metricFactory.CreateCounter("myCounter", "some help about this");
counter.Inc(5.5);Gauges can go up and down.
var gauge = metricFactory.CreateGauge("gauge", "help text");
gauge.Inc(3.4);
gauge.Dec(2.1);
gauge.Set(5.3);Summaries track the size and number of events.
var summary = metricFactory.CreateSummary("mySummary", "help text");
summary.Observe(5.3);Histograms track the size and number of events in buckets. This allows for aggregate calculation of quantiles.
var hist = metricFactory.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.
Taking a counter as an example:
var counter = metricFactory.CreateCounter("myCounter", "help text", labelNames: new []{ "method", "endpoint"});
counter.WithLabels("GET", "/").Inc();
counter.WithLabels("POST", "/cancel").Inc();Since v4 there is alternative new way to provide a labels via ValueTuple that allow to reduce memory allocation:
var counter = metricFactory.CreateCounter("myCounter", "help text", labelNames: ("method", "endpoint"));
counter.WithLabels(("GET", "/")).Inc();
counter.WithLabels(("POST", "/cancel")).Inc();Contributions to the package are always welcome!
Entity Framework Extensions is a major sponsor and is proud to contribute to this project.
All contents of this package are licensed under the MIT license.