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Readme.md

StatsN

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StatsN is a modern performance first Stastd client for dotnet core. StatsN supports both TCP and UDP, although UDP is recommended. Largely inspired by the statsd-csharp-client and the statsd.net client. Both projects In my mind are awesome 👊, just not exactly what I was looking for.

I wrote this client, because I found unit testing statics less than fun, and tired of waiting for features to be published. Or support for features that statsd does not actually supprt.

This client attempts to help testability by using interfaces, observability by allowing you to register functions to listen for exceptions and logging that occurs inside the client, and scalability by really making the code perform well.

Getting started

Install-Package StatsN

In short the api is easy. You can get a new IStatsd with a few different ways, and then you can log metrics with an IStatsd implementation. Here are some examples.

Note, You will want to store your IStatsd as a singleton (most likely inside a DI container). This type persists a tcp or udp connection. The client's functions are thread safe.

IStatsd statsd = Statsd.New<Udp>(a=>a.HostOrIp = "10.22.2.1", Port = 8125, Prefix = "MyMicroserviceName");
IStatsd statsd = Statsd.New<Tcp>(a=>a.HostOrIp = "10.22.2.1"); //use tcp
IStatsd statsd = Statsd.New<NullChannel>(a=>a.HostOrIp = "10.22.2.1", Port = 8125); //pipes your metrics to nowhere...which can scale infinately btw
IStatsd statsd = Statsd.New(a=>a.HostOrIp = "10.22.2.1"); //defaults to udp
IStatsd statsd = Statsd.New(new StatsdOptions(){ HostOrIp = "127.0.0.1"}); //defaults to udp
IStatsd statsd = new Stastd(new StatsdOptions(){ HostOrIp = "127.0.0.1"});  //defaults to udp
IStatsd statsd = new Stastd(new StatsdOptions(){ HostOrIp = "127.0.0.1"}, new Tcp()); //pass a new udp client. You could in theory make your own transport if you inherit from BaseCommunicationProvider


statsd.CountAsync("myapp.counterstat"); //default to 1 aka increment
statsd.CountAsync("myapp.counterstat", 6);
statsd.CountAsync("myapp.counterstat", -6);
statsd.TimerAsync("myapp.timeMyFunction", ()=>{
 //code to instrument
});
statsd.TimerAsync("myapp.timeData", 400); //400ms
statsd.GaugeAsync("autotest.gaugeyo", 422);
statsd.GaugeDeltaAsync("autotest.gaugeyo", -10);
statsd.SetAsync("autotest.setyo", 888);

Logging

Like most statsd clients, this client avoids throwing exceptions at all costs. Any errors/exceptions created will be logged as a Systems.Diagnostics.Trace messages.

You can pass lambda into the StatsdOptions class to be passed exceptions and log messages, instead of getting them through the Trace system.

            var opt = new StatsdOptions
            {
                OnExceptionGenerated = (exception) => { /* handle exception */ },
				OnLogEventGenerated = (log) => { /* handle log msg */ }
            };
			var stats = Statsd.New(opt);

or

var stats = Statsd.New(a=>a.OnExceptionGenerated = (exception) => { /* handle exception */ });

Buffering metrics

By setting the BufferMetrics property in the options object to true, the metrics will be buffered thus sending less packets. The Buffer size defaults to 512, which is documented by statsd. You may change its size using the BufferSize property of StastdOptions. This uses a Concurrent Queue to Queue up the metrics and a BackgroundWorker to peal metrics off the Queue and send them along aggregated.

var opt = new StatsdOptions(){

    BufferMetrics = true,
    BufferSize = 512
};

Awaiting metrics

By default the various logging metric functions return Tasks. You do not need to await on these If you await on these and you have buffered metrics off , you will return after the bytes have been added to the network stream. If you await, and buffered metrics are on then your await will return when your metric has been added to the Queue of metrics to be sent.

dotnet 4.0

While this project does target dotnet 4.0, the unit tests do not run in 4.0. The support is limited (new features may not come to dotnet 4.S), but bugs will be addressed.

Dev setup

If you plan on playing around with the code, be sure to download and install .NET core sdk.