Advanced Metrics Tracking for Webapps

MetricCatcher is a bookkeeping agent for application metrics. It utilizes Coda Hale’s Metrics package to provide languages that aren’t Java (or aren’t long-running) with the easy-to-use tracking & advanced maths of Metrics.

If you have a Java app and are tracking its performance, the best way to do that is using Coda Hale’s Metrics package, which provides convenient objects for counting happenings in your application. In other languages you don’t have the option of using this great library, and in web apps that start up a new process for each request, simply keeping the persistent data to enable metrics like this is a hassle. That’s where MetricCatcher comes in—toss values at MetricCatcher and it will create corresponding Metric objects, allowing your non-Java app to take advantage of Coda Hale’s fancy maths. Metrics in a Java application can be viewed with Jconsole (or even better, VisualVM), but to really realize the power of tracking your application, MetricCatcher can pump its data into Graphite or Ganglia.

We use MetricCatcher to keep tabs on our PHP code using the Phetric library.  The combination of Phetric & MetricCatcher allows the easy creation & updating of metrics without requiring any state to be kept on the PHP side of things.

Running MetricCatcher

Grab MetricCatcher from the Clearspring GitHub repository for MetricCatcher

The only configuration that MetricCatcher requires is the location of your Ganglia or Graphite server, which can be defined in the conf/ of the distribution. MetricCatcher will send metrics to whichever metrics servers are defined. Starting & stopping MetricCatcher can be done using the included scripts in the bin directory.

Getting Data In

MetricCatcher listens for JSON on UDP port 1420 for metrics to track—simply feed it lists of Metrics objects, each of which must have a name, type, timestamp, and value. MetricCatcher supports all of the types that Coda Hale’s Metrics provides, except for Health Checks. Note that histograms are either biased (favor more recent data) or uniform (weight all data equally) and are referred to as such. The JSON format looks like this:


Metrics are sent as a JSON list, so multiple individual metrics can be bundled:


Where Data Goes

You can view the metrics using a JMX agent (jConsole or VisualVM as mentioned above), but the best way toview them is to define a metrics—collecting server in the file. If you do that, MetricCatcher will send its stats there once a minute, so you can check out your Graphite or Ganglia server to see the results.