scales: Greplin's new open source Python server metrics library

We open sourced something similar called StatGrabber awhile back, including Perl and Python client libraries. We tend to avoid threads, and so it instead uses non blocking UDP (guaranteed delivery on localhost) to a collector daemon, which aggregates and then delivers the info to Ganglia for graphing. <a href="https://spideroak.com/code" rel="nofollow">https://spideroak.com/code</a> if anyone is curious.<p>The client modules simply emit non-blocking UDP packets and get on with their business, avoiding slowing down their response time. You can graph 4 types of stats: counters (ex: transactions) averages (ex: size of transactions), accumulators (ex: bandwidth used) and elapsed time (ex: time per transaction)<p>It's pretty nice to see Ganglia graphing system metrics along side of all the stats we have the backend emit. For example, one of the stats graphed are revenue events. There's clear relationship between network health issues and revenue.

Correct me if I'm mistaken, but it seems like this wouldn't really work with a web server that has several worker processes like uwsgi in preforking mode. Each worker process would be sandboxed to its own STATS object and attempting to serve the HTTP/Graphite server in its own background thread; all of which would be trying to access the same port.