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Report errors (uncaught exceptions and custom errors)\n- Emit events\n- Analyze HTTP latency\n\n# Installation\n\n![Build Status](https://api.travis-ci.org/keymetrics/pmx.png?branch=master)\n\nInstall PMX and add it to your package.json via:\n\n```bash\n$ npm install pmx --save\n```\n\nThen init the module to monitor HTTP, Errors and diverse metrics.\n\n```javascript\nvar pmx = require('pmx').init();\n```\n\n# Custom monitoring\n\n## Emit Events\n\nEmit events and get historical and statistics:\n\n```javascript\nvar pmx = require('pmx');\n\npmx.emit('user:register', {\n  user : 'Alex registered',\n  email : 'thorustor@gmail.com'\n});\n```\n\n## Make function triggerable\n\n```javascript\nvar pmx = require('pmx');\n\npmx.action('db:clean', { comment : 'Description for this action' }, function(reply) {\n  clean.db(function() {\n    /**\n     * reply() must be called at the end of the action\n     */\n     reply({success : true});\n  });\n});\n```\n\nNote: in case of exceptions in the function, your app will not be affected\n\n## Errors\n\nEnable catch all errors.\n**This module is enabled by default if you called pmx with the init() function.**\n\n```javascript\npmx.catchAll();\n```\n\n## Notify a custom error\n\n```javascript\npmx.notify({ success : false });\n\npmx.notify('This is an error');\n\npmx.notify(new Error('This is an error'));\n```\n\n## HTTP latency analysis\n\nMonitor routes, latency and codes. REST complient.\n\n```javascript\npmx.http(); // You must do this BEFORE any require('http')\n```\n\n**This module is enabled by default if you called pmx with the init() function.**\n\n## Measure\n\nMeasure critical segments of you code thanks to 4 kind of probes:\n\n- Simple metrics: Values that can be read instantly\n    - Monitor variable value\n- Counter: Things that increment or decrement\n    - Downloads being processed, user connected\n- Meter: Things that are measured as events / interval\n    - Request per minute for a http server\n- Histogram: Keeps a resevoir of statistically relevant values biased towards the last 5 minutes to explore their distribution\n    - Monitor the mean of execution of a query into database\n\n### Metric\n\nValues that can be read instantly.\n\n```javascript\nvar probe = pmx.probe();\n\nvar metric = probe.metric({\n  name  : 'Realtime user',\n  value : function() {\n    return Object.keys(users).length;\n  }\n});\n```\n\n### Counter\n\nThings that increment or decrement.\n\n```javascript\nvar probe = pmx.probe();\n\nvar counter = probe.counter({\n  name : 'Downloads'\n});\n\nhttp.createServer(function(req, res) {\n  counter.inc();\n  req.on('end', function() {\n    counter.dec();\n  });\n});\n```\n\n### Meter\n\nThings that are measured as events / interval.\n\n```javascript\nvar probe = pmx.probe();\n\nvar meter = probe.meter({\n  name    : 'req/min',\n  seconds : 60\n});\n\nhttp.createServer(function(req, res) {\n  meter.mark();\n  res.end({success:true});\n});\n```\n\n#### Options\n\n**seconds** option is the measurement rate of the meter, default is 1 seconds\n\n### Histogram\n\nKeeps a resevoir of statistically relevant values biased towards the last 5 minutes to explore their distribution.\n\n```javascript\nvar probe = pmx.probe();\n\nvar histogram = probe.histogram({\n  name        : 'latency',\n  measurement : 'mean'\n});\n\nvar latency = 0;\n\nsetInterval(function() {\n  latency = Math.round(Math.random() * 100);\n  histogram.update(latency);\n}, 100);\n```\n\n#### Options\n\n**measurement** option can be:\n\n- min: The lowest observed value.\n- max: The highest observed value.\n- sum: The sum of all observed values.\n- variance: The variance of all observed values.\n- mean: The average of all observed values.\n- stddev: The stddev of all observed values.\n- count: The number of observed values.\n- median: 50% of all values in the resevoir are at or below this value.\n- p75: See median, 75% percentile.\n- p95: See median, 95% percentile.\n- p99: See median, 99% percentile.\n- p999: See median, 99.9% percentile.\n\n# License\n\nMIT\n","_attachments":{},"homepage":"https://github.com/keymetrics/axm","bugs":{"url":"https://github.com/keymetrics/axm/issues"},"license":"ISC"}