[{"_1":2,"_155":-5,"_156":-5},"loaderData",{"_3":4,"_13":14,"_21":22,"_134":135},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","routes/_layout",{"_15":-5,"_16":17,"_18":17,"_19":11,"_20":11},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_23":24,"_25":-5,"_26":11,"_27":11,"_28":29,"_30":31,"_32":-5,"_33":11,"_34":35,"_84":-5,"_85":86,"_125":-5,"_126":11,"_127":17,"_128":11,"_129":-5,"_130":11,"_131":-5,"_132":133},"canonicalUrl","https://hub.docker.com/r/ehlers320/statsdaemon/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","ehlers320","reponame","statsdaemon","cloudBuildSource","isAutobuildsAvailable","repo",{"_36":37,"_38":39,"_41":42,"_43":44,"_45":11,"_46":47,"_48":49,"_50":51,"_53":31,"_28":29,"_54":55,"_56":40,"_57":58,"_59":60,"_61":62,"_63":-5,"_64":58,"_65":66,"_67":11,"_68":29,"_69":70,"_75":11,"_76":77,"_81":29,"_82":83},"categories",[],"content_types",[40],"image","date_registered","2019-01-07T21:24:15.240833Z","description","a fork of the raintank/statsdaemon repo","is_private","last_updated","2019-01-07T21:58:04.325683Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[52],"application/vnd.docker.container.image.v1+json","name","pull_count",964,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","[![Circle CI](https://circleci.com/gh/raintank/statsdaemon?style=shield)](https://circleci.com/gh/raintank/statsdaemon)\n[![Go Report Card](https://goreportcard.com/badge/github.com/raintank/statsdaemon)](https://goreportcard.com/report/github.com/raintank/statsdaemon)\n[![GoDoc](https://godoc.org/github.com/raintank/statsdaemon?status.svg)](https://godoc.org/github.com/raintank/statsdaemon)\n\nstatsdaemon\n==========\n\nMetrics aggregation daemon like [statsd](https://github.com/etsy/statsd), in Go and with a bunch of extra features.\n(Based on code from [Bitly's statsdaemon](https://github.com/bitly/statsdaemon))\n\nFeatures you expect:\n=======================\n\nFor a given input, this implementation yields the exact same metrics as etsy's statsd (with deleteIdleStats enabled),\n(though this is discouraged. See \"metric namespacing\" below)\nso it can act as a drop-in replacement. In terms of types:\n\n* Timing (with optional percentiles, sampling supported)\n* Counters (sampling supported)\n* Gauges\n* No histograms or sets yet, but should be easy to add if you want them\n\n\nMetrics 2.0\n===========\n\n[metrics 2.0](http://dieter.plaetinck.be/metrics_2_a_proposal.html) is a format for structured, self-describing, standardized metrics.\n\n![metrics 2.0 diagram](https://raw.github.com/raintank/statsdaemon/master/img/metrics2.0-processor.png)\n\nMetrics that flow through statsdaemon and are detected to be in the metrics 2.0 format undergo the same operations and aggregations, but how this is reflected in the resulting metric identifier is different:\n\n* traditional/legacy metrics get prefixes and suffixes like the original statsd\n* metrics in 2.0 format will have the appropriate adjustments to their tags. Statsdaemon assures that tags such as unit, target_type, stat, etc reflect the performed operation, according to the [specification](https://github.com/vimeo/graph-explorer/wiki/Consistent-tag-keys-and-values).\nThis allows users and advanced tools such as [Graph-Explorer](http://vimeo.github.io/graph-explorer/) to truly understand metrics and leverage them.\n\n\nAdaptive sampling\n=================\n\nTBA.\n\n\nYou'll love Go\n==============\n\nPerhaps debatable and prone to personal opinion, but people seem to agree that Go is more robust, easier to deploy and elegant than node.js.\nIn terms of performance, I didn't do extensive or scientific benchmarking but here's the effect on our cpu usage and calculation time when switching from statsd to statsdaemon, with the same input load and the same things being calculated:\n\n![Performance](https://raw.github.com/raintank/statsdaemon/master/img/statsd-to-statsdaemon-switch.png)\n\nPerformance and profiling\n=========================\n\nAs with any statsd version, you should monitor whether the kernel drops incoming UDP packets.\nWhen statsdaemon (or statsd) cannot read packets from the udp socket fast enough - perhaps because it's\noverloaded with packet processing, or the udp reading is the slowest part of the chain (the\ncase in statsdaemon) - then the udp buffer will grow and ultimately fill up, and have no more room\nfor new packets, which get dropped, resulting in gaps in graphs.\nWith statsdaemon this limit seems to be at around 60k packets per second.\nYou can improve on this by batching multiple metrics into the same packet, and/or sampling more.\nStatsdaemon exposes a profiling endpoint for pprof, at port 6060 by default (see config).\n\nAdmin telnet api\n================\n\n```\nhelp show this menu\nsample_rate for given metric, show:\n \nmetric_stats in the past 10s interval, for every metric show:\n \npeek_valid stream all valid lines seen in real time\n until you disconnect or can't keep up.\npeek_invalid stream all invalid lines seen in real time\n until you disconnect or can't keep up.\nwait_flush after the next flush, writes 'flush' and closes connection.\n this is convenient to restart statsdaemon\n with a minimal loss of data like so:\n nc localhost 8126 <<< wait_flush && /sbin/restart statsdaemon\n```\n\n\nInternal metrics\n================\n\nStatsdaemon submits a bunch of internal performance metrics using itself.\nNote that these metrics are in the [metrics 2.0 format](http://dieter.plaetinck.be/metrics_2_a_proposal.html),\nthey look a bit unusual but can be treated as regular graphite metrics if you want to.\nHowever using [carbon-tagger](https://github.com/vimeo/carbon-tagger) and [Graph-Explorer](http://vimeo.github.io/graph-explorer/)\nthey become much more useful.\n\nThere's also a [dashboard for Grafana on Grafana.net](https://grafana.net/dashboards/297)\n\n\nInstalling\n==========\n\n```bash\ngo get github.com/raintank/statsdaemon/cmd/statsdaemon\n```\n\n\nBuilding\n========\n\nwe use [dep](https://golang.github.io/dep/) to save the dependencies to the vendor directory.\n\nCommand Line Options\n====================\n\n```\nUsage of ./statsdaemon:\n -config_file=\"/etc/statsdaemon.ini\": config file location\n -cpuprofile=\"\": write cpu profile to file\n -debug=false: print statistics sent to graphite\n -memprofile=\"\": write memory profile to this file\n -version=false: print version string\n```\n\nNamespacing & Config file options\n=================================\n\nThe default statsd namespace is notoriously messy\nso we highly recommend disabling the legacy namespace\nand customizing the prefixes as shown below.\n\n```\nlisten_addr = \":8125\"\nadmin_addr = \":8126\"\ngraphite_addr = \"127.0.0.1:2003\"\nflush_interval = 60\n\nlegacy_namespace = true\nprefix_rates = \"stats.\"\nprefix_counters = \"stats_counts.\"\nprefix_timers = \"stats.timers.\"\nprefix_gauges = \"stats.gauges.\"\n\n# Recommended (legacy_namespace = false)\n# counts -> stats.counters.$metric.count\n# rates -> stats.counters.$metric.rate\n\n#legacy_namespace = false\n#prefix_rates = \"stats.counters.\"\n#prefix_counters = \"stats.counters.\"\n#prefix_timers = \"stats.timers.\"\n#prefix_gauges = \"stats.gauges.\"\n\n# prefixes for metrics2.0 metrics\n# using this you can add tags, like \"foo=bar.baz=quux.\"\n# note that you should use '=' here.\n# If your metrics use the '_is_' style, then we'll automatically apply the converted prefix instead.\nprefix_m20_rates = \"\"\nprefix_m20_counters = \"\"\nprefix_m20_timers = \"\"\nprefix_m20_gauges = \"\"\n\n# send rates for counters (using prefix_rates)\nflush_rates = true\n# send count for counters (using prefix_counters)\nflush_counts = false\n\npercentile_thresholds = \"90,75\"\nmax_timers_per_s = 1000\n```\n","has_starred","hub_user","immutable_tags_settings",{"_71":11,"_72":73},"enabled","rules",[74],".*","is_automated","permissions",{"_78":17,"_79":11,"_80":11},"read","write","admin","user","storage_size",20210061,"orgData","recentTags",[87],{"_88":40,"_89":90,"_91":92,"_93":94,"_95":96,"_46":114,"_115":90,"_116":29,"_117":52,"_53":118,"_119":120,"_121":105,"_122":114,"_123":62,"_124":17},"content_type","creator",367082,"full_size",9262663,"id",43643895,"images",[97],{"_98":99,"_100":101,"_102":103,"_104":105,"_106":107,"_108":109,"_110":103,"_111":-5,"_112":92,"_59":62,"_113":-5},"architecture","amd64","digest","sha256:6068fefd0212e0125fde0a8ac62ce64293b81d86edf3ac1bb5105d4a867c9967","features","","last_pulled","2026-09-22T14:37:37.282394638Z","last_pushed","2019-01-07T21:58:04Z","os","linux","os_features","os_version","size","variant","2019-01-07T21:58:03.920625Z","last_updater","last_updater_username","media_type","latest","repository",6517402,"tag_last_pulled","tag_last_pushed","tag_status","v2","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","showSbxLogoOverride","sbxTrademarkText","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"routes/_layout.r.$namespace.$reponame.tags",{"_34":136,"_143":144,"_132":153,"_154":11},{"_36":137,"_38":138,"_41":42,"_43":44,"_45":11,"_46":47,"_48":49,"_50":139,"_53":31,"_28":29,"_54":55,"_56":40,"_57":58,"_59":60,"_61":62,"_63":-5,"_64":58,"_65":66,"_67":11,"_68":29,"_69":140,"_75":11,"_76":142,"_81":29,"_82":83},[],[40],[52],{"_71":11,"_72":141},[74],{"_78":17,"_79":11,"_80":11},"tags",{"_145":60,"_146":-5,"_147":-5,"_148":149},"count","next","previous","results",[150],{"_88":40,"_89":90,"_91":92,"_93":94,"_95":151,"_46":114,"_115":90,"_116":29,"_117":52,"_53":118,"_119":120,"_121":105,"_122":114,"_123":62,"_124":17},[152],{"_98":99,"_100":101,"_102":103,"_104":105,"_106":107,"_108":109,"_110":103,"_111":-5,"_112":92,"_59":62,"_113":-5},[],"canDeleteTags","actionData","errors"]

ehlers320/statsdaemon

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