{ "info": { "author": "Mike Okner", "author_email": "michael@appfirst.com", "bugtrack_url": null, "classifiers": [], "description": "StatsD was popularized by Etsy, and we refer to their implementation as \"Etsy-standard\" (https://github.com/etsy/statsd/).\nIt's a light-weight method of gathering statistics from your applications. As an application developer, all you need\nto do is include a small library, and sprinkle one-liners like this throughout your code:\n\n Statsd.increment(\"my.important.event\")\n Statsd.gauge(\"my.important.value\", important_value)\n Statsd.timing(\"my.important.process\", important_process_time)\n\nIn the Etsy version, this will cause a UDP packet to be sent to a designated server that is running their\ncollection and visualization packages. The AppFirst client API looks the same to the application developer,\nbut sends data via POSIX message queue or Windows Mailslot to the collector and takes advantage of AppFirst collection\nand visualization technologies.\n\nIf you are already running an AppFirst collector on your server, then all you need to do is use an\nAppFirst StatsD library instead of an Etsy-only library. This library will aggregate your metrics, and then\nuse a message queue to pass them to the AppFirst collector, which will pass them up to our Big Data store, where\nthey will be visible on your AppFirst dashboards and Correlate charts. This is more efficient than the UDP method\nand you don't need to set up the Etsy collection and visualization environment.\n\nIf you are already using Etsy StatsD, you can make a gradual transition. Our libraries can be used in\nEtsy mode, so you can configure them to send UDP to your existing Etsy monitoring apparatus. Our collector also\naccepts StatsD UDP messages, so you can just point your existing Etsy-only StatsD library to localhost:8125,\nuntil you are ready to transition to an AppFirst StatsD library. 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