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Miller","email":"emiller42@gmail.com"},"license":"MIT","homepage":"https://github.com/emiller42/splunk-statsd-backend","keywords":["metrics","statsd","splunk"],"repository":{"type":"git","url":"git+https://github.com/emiller42/splunk-statsd-backend.git"},"description":"A backend for StatsD to emit stats to Splunk HTTP Event Collector","maintainers":[{"name":"emiller42","email":"emiller42@gmail.com"}],"readme":"splunk-statsd-backend\n=====================\nBackend plugin for [statsd](https://github.com/statsd/statsd) to output metrics to [Splunk](https://www.splunk.com) HTTP Event Collector (HEC)\n\n# Installation\n```bash\n$ cd /path/to/statsd/install\n$ npm install splunk-statsd-backend\n```\n\n# Configuration\n```js\n{\n  backends: ['splunk-statsd-backend', 'other-backends'],\n  splunk: {\n    splunkHost: '127.0.0.1', // the hostname of the Splunk Collector you wish to send metrics (default: 127.0.0.1)\n    splunkPort: 8088,        // port that the event collector is listening on (Default: 8088)\n    useSSL: true,            // HEC is using SSL (Default: true)\n    strictSSL: true,         // Should collectd should validate ssl certificates. Set to false if Splunk is using self-signed certs. (Default: true)\n    splunkToken: 'abcde',    // HEC token for authentication with Splunk (required)\n    // the following are somewhat equivalent to the 'prefix*' options for the graphite backend\n    timerLabel: 'timer',     // Label applied to all timer metrics (default: 'timer')\n    counterLabel: 'counter', // Label applied to all counter metrics (default: 'counter')\n    gaugeLabel: 'gauge',     // Label applied to all gauge metrics (default: 'gauge')\n    setLabel: 'set',         // Label applied to all set metrics (default: 'set')\n    // the following populate splunk-specific fields\n    host: 'foo',             // Specify a 'host' value for the events sent to Splunk. Leave unset to let Splunk infer this value.  \n    source: 'statsd',        // Specify a 'source' value for the events sent to Splunk.  (default: statsd)\n    sourcetype: '_json',     // Specify a 'sourcetype' value for the events sent to Splunk. (default: _json)\n    index: 'main',           // Specify the target index for the events sent to Splunk.  Leave unset to let Splunk control destination index.\n    useMetrics: false        // Send data in Splunk Metrics format. (default: false)\n}\n}\n```\n\n# Implementation Details and Examples (JSON formatted events)\nThis backend will transform statsd metrics into a format suitable for batch collection by the Splunk HTTP Event Collector.  Further, the events are properly formed JSON, allowing ['Indexed Extractions'](http://dev.splunk.com/view/event-collector/SP-CAAAFB6) to be applied out of the box.  All metrics are sent in a single HTTP POST request to the collector.  \n\nA batch event follows this format:\n```js\n{ \"time\": <timestamp>, \"source\": \"my_source\", \"sourcetype\": \"my_sourcetype\", \"index\": \"my_index\", \"event\": {...event payload...} }\n```\n\nWhere the event payload will contain all relevant fields for the metrics.  (Examples further down)\n\n## Field Names\n* `metricType` will be set according to the *Label fields.  ('timer', 'counter', etc.)\n* `metricName` will be a direct passthrough of the metric name provided to statsd.  (`my.counter:123|c` sets `metricName = \"my.counter\"`)\n* Other event field names are derived from the stats they represent.  \n\n## Example Counter\n```js\n{\n  \"event\": {\n    \"rate\": 1704.6,\n    \"count\": 17046,\n    \"metricType\": \"counter\",\n    \"metricName\": \"foo.requests\"\n  },\n  \"time\": 1485314310,\n  \"source\": \"statsd\",\n  \"sourcetype\": \"_json\"\n}\n```\n\n## Example Timer (with Histogram)\n```js\n{\n  \"event\": {\n    \"count_90\": 304,\n    \"mean_90\": 143.07236842105263,\n    \"upper_90\": 280,\n    \"sum_90\": 43494,\n    \"sum_squares_90\": 8083406,\n    \"std\": 86.5952973729948,\n    \"upper\": 300,\n    \"lower\": 1,\n    \"count\": 338,\n    \"count_ps\": 33.8,\n    \"sum\": 53402,\n    \"sum_squares\": 10971776,\n    \"mean\": 157.9940828402367,\n    \"median\": 157.5,\n    \"histogram\": {\n      \"bin_50\": 49,\n      \"bin_100\": 45,\n      \"bin_150\": 66,\n      \"bin_200\": 60,\n      \"bin_inf\": 118\n    },\n    \"metricType\": \"timer\",\n    \"metricName\": \"foo.duration\"\n  },\n  \"time\": 1485314310,\n  \"source\": \"statsd\",\n  \"sourcetype\": \"_json\"\n}\n```\n\n## Example Gauge\n```js\n{\n  \"event\": {\n    \"value\": 2,\n    \"metricType\": \"gauge\",\n    \"metricName\": \"foo.pct_util\"\n  },\n  \"time\": 1485314310,\n  \"source\": \"statsd\",\n  \"sourcetype\": \"_json\"\n}\n```\n\n## Example Set\n```js\n{\n  \"event\": {\n    \"count\": 98,\n    \"metricType\": \"set\",\n    \"metricName\": \"foo.uniques\"\n  },\n  \"time\": 1485314310,\n  \"source\": \"statsd\",\n  \"sourcetype\": \"_json\"\n}\n```\n\n# Implementation Details and Examples (Splunk Metrics)\nwhen setting `useMetrics: true` in your config, the backend will format StatsD metrics in a way suitable for ingestion as [Splunk Metrics](https://docs.splunk.com/Documentation/Splunk/8.2.0/Metrics/Overview). All metrics of a given type will be included in a single event object using the [multiple-metric JSON format](https://docs.splunk.com/Documentation/Splunk/8.2.0/Metrics/GetMetricsInOther#The_multiple-metric_JSON_format) and all objects will be sent in a single POST request to the collector.\n\nThe event object follows this format:\n```js\n{ \n  \"time\": \"<timestamp>\", \n  \"event\": \"metric\", \n  \"host\": \"<host>\", \n  \"source\": \"<source>\", \n  \"sourcetype\": \"<sourcetype>\", \n  \"index\": \"<index>\", \n  \"event\": {\n    \"metric_type\": \"<type>\",\n    // repeated metrics\n    \"metric_name:<metric_name>\": \"<value>\". \n  } \n}\n```\n\n## Notes on Sourcetype\n\nSplunk has build-in handling of some sourcetypes when processing metrics. The [`statsd` sourcetype](https://docs.splunk.com/Documentation/Splunk/8.2.0/Metrics/GetMetricsInStatsd) in particular is used to send raw StatsD data directly to Splunk, rather than to a StatsD server for processing. It is recommended that you avoid these built-in sourcetypes when using this backend. \n\n## Field Names\n\n* The `metric_type` dimension will be set according to the *Label fields (`timer`, `counter`, etc)\n* In cases where the metric has a single value (gauges, sets) the metric name will be a direct passthrough of the metric name provided by StatsD. (`my.gauge:97|g` becomes `\"metric_name:my.gauge\": 97`)\n* In cases where the metric has multiple values (counters, timers) the specific measurement will be appended following dot-notation. (`my.counter:123|c` sets `metric_name:my.counter.count` and `metric_name:my.counter.rate`)\n\n## Example Counters\n\n```js\n{\n  \"time\": 1485314310,\n  \"event\": \"metric\",\n  \"source\": \"statsd\",\n  \"sourcetype\": \"_json\",\n  \"event\": {\n    \"metric_type\": \"counter\",\n    \"metric_name:foo.count\": 17046,\n    \"metric_name:foo.rate\": 1704.6,\n    \"metric_name:bar.count\": 32567,\n    \"metric_name:bar.rate\": 3256.7,\n    // etc.\n  }\n}\n```\n\n## Example Timer (with Histogram)\n\n```js\n{\n  \"time\": 1485314310,\n  \"event\": \"metric\",\n  \"source\": \"statsd\",\n  \"sourcetype\": \"_json\",\n  \"event\": {\n    \"metric_type\": \"timer\",\n    \"metric_name:foo.duration.count_90\": 304,\n    \"metric_name:foo.duration.mean_90\": 143.07236842105263,\n    \"metric_name:foo.duration.upper_90\": 280,\n    \"metric_name:foo.duration.sum_90\": 43494,\n    \"metric_name:foo.duration.sum_squares_90\": 8083406,\n    \"metric_name:foo.duration.std\": 86.5952973729948,\n    \"metric_name:foo.duration.upper\": 300,\n    \"metric_name:foo.duration.lower\": 1,\n    \"metric_name:foo.duration.count\": 338,\n    \"metric_name:foo.duration.count_ps\": 33.8,\n    \"metric_name:foo.duration.sum\": 53402,\n    \"metric_name:foo.duration.sum_squares\": 10971776,\n    \"metric_name:foo.duration.mean\": 157.9940828402367,\n    \"metric_name:foo.duration.median\": 157.5,\n    \"metric_name:foo.duration.histogram.bin_50\": 49,\n    \"metric_name:foo.duration.histogram.bin_100\": 45,\n    \"metric_name:foo.duration.histogram.bin_150\": 66,\n    \"metric_name:foo.duration.histogram.bin_200\": 60,\n    \"metric_name:foo.duration.histogram.bin_inf\": 118\n    // etc.\n  }\n}\n```\n\n## Example Gauges\n\n```js\n{\n  \"time\": 1485314310,\n  \"event\": \"metric\",\n  \"source\": \"statsd\",\n  \"sourcetype\": \"_json\",\n  \"event\": {\n    \"metric_type\": \"gauge\",\n    \"metric_name:foo.pct_util\": 2,\n    \"metric_name:bar.pct_util\": 17,\n    // etc.\n  }\n}\n```\n\n## Example Sets\n\n```js\n{\n  \"time\": 1485314310,\n  \"event\": \"metric\",\n  \"source\": \"statsd\",\n  \"sourcetype\": \"_json\",\n  \"event\": {\n    \"metric_type\": \"set\",\n    \"metric_name:foo.uniques\": 98,\n    \"metric_name:bar.uniques\": 127,\n    // etc.\n  }\n}\n```\n\n# Backend Metrics\nThe following internal metrics are calculated and emitted under the `splunkStats` metricName\n* `calculationTime` - time spent parsing metrics in ms\n* `numStats` - The number of metrics processed\n* `flush_length` - the length of the event payload sent to Splunk\n* `flush_time` - the response time of the POST request to Splunk\n* `last_exception` - the timestamp of the last time a POST failed\n* `last_flush` - the timestamp of the last flush\n\n# Running tests\n```sh\n$ cd /path/to/splunk-statsd-backend\n$ npm install\n$ npm test\n```","readmeFilename":"README.md"}