Capturing CLR and application-level metrics. So you know what's going on.
####(This work is a port of @codahale's metrics for Scala and the JVM.)
- .NET 4.0
- ASP.NET MVC 3 (for reporting via HTTP)
First, specify Metrics as a dependency:
PM> Install-Package Metrics
Second, instrument your classes:
using Metrics;
public class ThingFinder
{
// Measure the # of records per second returned
private IMetric _resultsMeter = Metrics.Meter(typeof(ThingFinder), "results", TimeUnit.Seconds)
// Measure the # of milliseconds each query takes and the number of queries per second being performed
private IMetric _dbTimer = Metrics.Timer(typeof(ThingFinder), "database", TimeUnit.Milliseconds, TimeUnit.Seconds)
public void FindThings()
{
// Perform an action which gets timed
var results = _dbTimer.Time(() => {
Database.Query("SELECT Unicorns FROM Awesome");
}
// Calculate the rate of new things found
_resultsMeter.Mark(results.Count)
// etc.
}
}
Metrics comes with five types of metrics:
- Gauges are instantaneous readings of values (e.g., a queue depth).
- Counters are 64-bit integers which can be incremented or decremented.
- Meters are increment-only counters which keep track of the rate of events. They provide mean rates, plus exponentially-weighted moving averages which use the same formula that the UNIX 1-, 5-, and 15-minute load averages use.
- Histograms capture distribution measurements about a metric: the count, maximum, minimum, mean, standard deviation, median, 75th percentile, 95th percentile, 98th percentile, 99th percentile, and 99.9th percentile of the recorded values. (They do so using a method called reservoir sampling which allows them to efficiently keep a small, statistically representative sample of all the measurements.)
- Timers record the duration as well as the rate of events. In addition to the rate information that meters provide, timers also provide the same metrics as histograms about the recorded durations. (The samples that timers keep in order to calculate percentiles and such are biased towards more recent data, since you probably care more about how your application is doing now as opposed to how it's done historically.)
Metrics also has support for health checks:
HealthChecks.Register("database", () =>
{
if (Database.IsConnected)
{
return HealthCheck.Healthy;
}
else
{
return HealthCheck.Unhealthy("Not connected to database");
}
});
Third, start collecting your metrics.
If you're simply running a benchmark, you can print registered metrics to standard output, every 10 seconds like this:
// Print to Console.Out every 10 seconds
Metrics.EnableConsoleReporting(10, TimeUnit.Seconds)
If you're writing a ASP.NET MVC-based web service, you can reference Metrics.AspNetMvc
in
your web application project and register default routes:
using metrics;
public class MvcApplication : HttpApplication
{
// ...
protected void Application_Start()
{
AspNetMvc.Metrics.RegisterRoutes();
// ...
}
// ...
}
The default routes will respond to the following URIs:
/metrics
: A JSON object of all registered metrics and a host of CLR metrics./ping
: A simpletext/plain
"pong" for load-balancers./healthcheck
: Runs through all registeredHealthCheck
instances and reports the results. Returns a200 OK
if all succeeded, or a500 Internal Server Error
if any failed./threads
: Atext/plain
dump of all threads and their stack traces.
The URIs of these resources can be configured by setting properties prior to registering routes. You may also choose to protect these URIs with HTTP Basic authentication:
using metrics;
public class MvcApplication : HttpApplication
{
// ...
protected void Application_Start()
{
AspNetMvc.Metrics.HealthCheckPath = "my-healthcheck-uri";
AspNetMvc.Metrics.PingPath = "my-ping-uri";
AspNetMvc.Metrics.MetricsPath = "my-metrics-uri";
AspNetMvc.Metrics.ThreadsPath = "my-threads-uri";
AspNetMvc.Metrics.RegisterRoutes("username", "password");
// ...
}
// ...
}
- This implementation uses
ConcurrentDictionary
vs. Java'sConcurrentSkipListMap
, so expect lookups to suffer - This implementation uses
SortedDictionary
vs. Java'sTreeMap
- The CLR is not as flexible when it comes to introspection; CLR metrics and thread dumps are a work in progress
The original Metrics project is Copyright (c) 2010-2011 Coda Hale, Yammer.com
This idiomatic port of Metrics to C# and .NET is Copyright (c) 2011 Daniel Crenna, Wildbit.com
Both works are published under The MIT License, see LICENSE