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LICENSE IN LICENSE.md","homepage":"http://strongloop.com","keywords":["apm","monitoring","performance","profiling","heap","event loop","analytics","metrics","alerts","profiler","response","time","memory","slowest functions"],"repository":{"url":"git+https://github.com/strongloop/strong-agent.git","type":"git"},"description":"StrongOps Application Performance Monitoring Agent","contributors":[],"maintainers":[],"readme":"# strong-agent\n\nProfile and control Node.js processes and clusters using StrongOps.\n\n**NOTE: This project is not released under an open source license. We welcome\nbug reports as we continue development, but we are not accepting pull requests\nat this time.**\n\n## Using strong-agent\n\nSee [the full documentation](http://docs.strongloop.com/strong-agent).\n\n## Summary\n\n[Register](https://strongloop.com/register/) with StrongLoop.  It's free for evaluation.\n\nThen:\n\n    npm install -g strong-cli\n    slc update\n    cd .../where/your/app/is\n    slc strongops # ... provide email/password\n    slc run your_server.js\n\n## Configuration\n\nstrong-agent requires an API key and application name, and will not start\nprofiling without them.\n\n### API Key\n\nCan be defined in:\n\n- `userKey`: in profile's `userKey` argument\n- `STRONGLOOP_KEY`: in the environment\n- `userKey`: in strongloop.json (typically created with `slc strongops`)\n\n### Metrics License\n\nCan be defined in:\n\n- `STRONGLOOP_LICENSE`: in the environment\n- `agent_license`: in strongloop.json\n\nUsing custom metrics (the `.use()` and dynamic object tracking start-stop APIs)\nrequires a license, please contact\n[sales@strongloop.com](mailto:sales@strongloop.com).\n\n### Application Name\n\nCan be defined in:\n\n- `appName`: in profile's `appName` argument\n- `STRONGLOOP_APPNAME`: in the environment\n- `name`: in package.json (typical location)\n- `appName`: in strongloop.json (not typical, most package.json has a `name`)\n\n### Metrics API\n\nstrong-agent provides hooks for integration with other metrics aggregators,\nlike [statsd](https://github.com/etsy/statsd/).  An example application can\nbe found [here](https://github.com/strongloop/strong-agent-statsd).\n\nUsage is straightforward:\n\n```javascript\nrequire('strong-agent').use(function(name, value) {\n  console.log('%s=%d', name, value);\n});\n```\n\nNames are always strings and values are always numbers.  The agent reports\nmetrics at a currently fixed interval of 60 seconds.  The reported metrics\nare for the last interval only, i.e. they cover only the last 60 seconds.\nAll values are for the current process only.\n\n#### CPU metrics\n\n* `cpu.system`\n\n  System CPU time.  CPU time spent inside the kernel on behalf of the\n  process, expressed as a percentage of wall clock time.  Can exceed\n  100% on multi-core systems.\n\n  CPU time is the subset of wall clock time where the CPU is executing\n  instructions on behalf of the process, i.e. where the process or its\n  corresponding kernel thread is actually running.\n\n* `cpu.total`\n\n  Total CPU time.  Sum of user and system time, expressed as a percentage\n  of wall clock time.  Can exceed 100% on multi-core systems.\n\n  CPU time is the subset of wall clock time where the CPU is executing\n  instructions on behalf of the process, i.e. where the process or its\n  corresponding kernel thread is actually running.\n\n* `cpu.user`\n\n  User CPU time.  CPU time directly attributable to execution of the\n  userspace process, expressed as a percentage of wall clock time.\n  Can exceed 100% on multi-core systems.\n\n  CPU time is the subset of wall clock time where the CPU is executing\n  instructions on behalf of the process, i.e. where the process or its\n  corresponding kernel thread is actually running.\n\n#### Heap metrics\n\n* `gc.heap.used`\n\n  The part of the V8 heap that is still in use after a minor or major\n  garbage collector cycle, expressed in bytes.\n\n  The V8 heap is where JS objects and values are stored, excluding integers\n  in the range -2,147,483,648 to 2,147,483,647.  (FIXME: exact range differs\n  for ia32 and x64.)\n\n* `heap.total`\n\n  Total size of the V8 heap, expressed in bytes.\n\n  The V8 heap is where JS objects and values are stored, excluding integers\n  in the range -2,147,483,648 to 2,147,483,647.  (FIXME: exact range differs\n  for ia32 and x64.)\n\n* `heap.used`\n\n  The part of the V8 heap that is currently in use.  Expressed in bytes.\n\n  The V8 heap is where JS objects and values are stored, excluding integers\n  in the range -2,147,483,648 to 2,147,483,647.  (FIXME: exact range differs\n  for ia32 and x64.)\n\n#### HTTP metrics\n\n* `http.connection.count`\n\n  Number of new HTTP connections in the last interval.  (FIXME: Tracks only\n  one HTTP server per process and it's not very deterministic what server\n  that is.  Fortunately, most applications start only one server.)\n\n#### Event loop metrics\n\n* `loop.count`\n\n  The number of event loop ticks in the last interval.\n\n* `loop.minimum`\n\n  The shortest (i.e. fastest) tick in milliseconds.\n\n* `loop.maximum`\n\n  The longest (slowest) tick in milliseconds.\n\n* `loop.average`\n\n  The mean average tick time in milliseconds.\n\n#### Message queue metrics\n\n* `messages.in.count`\n\n  Number of received [strong-mq][] or [axon][] messages.\n\n* `messages.out.count`\n\n  Number of sent [strong-mq][] or [axon][] messages.\n\n#### Third-party module metrics\n\n* `<probe>.count`\n\n* `<probe>.average`\n\n* `<probe>.maximum`\n\n* `<probe>.minimum`\n\n  The agent collects count, average, maximum and minimum metrics for several\n  popular third-party modules.  The list of supported modules and recorded\n  metrics are as follows:\n\n| module            | metric                                                |\n|-------------------|-------------------------------------------------------|\n| [http][]          | request time in ms                                    |\n| [leveldown][]     | query time in ms                                      |\n| [loopback-datasource-juggler][] | query time in ms (reported as `dao.<metric>`) |\n| [memcache][]      | query time in ms (reported as `memcached.<metric>`)   |\n| [memcached][]     | query time in ms                                      |\n| [mongodb][]       | query time in ms                                      |\n| [mysql][]         | query time in ms                                      |\n| [oracle][]        | query time in ms                                      |\n| [oracledb][]      | query time in ms (reported as `oracle.<metric>`)      |\n| [postgres][]      | query time in ms                                      |\n| [redis][]         | query time in ms                                      |\n| [riak-js][]       | query time in ms (reported as `riak.<metric>`)        |\n| [strong-oracle][] | query time in ms (reported as `oracle.<metric>`)      |\n\n  Metrics are reported once per time interval.  Modules that have more than one\n  command or query method have query times for their individual methods summed.\n\n  For example, the oracle modules have `.execute()`, `.commit()` and\n  `.rollback()` methods.  The reponse times for those methods are summed and\n  reported as one metric, where:\n\n  - `oracle.count` is the number of calls in the last interval\n  - `oracle.average` the mean average query response time\n  - `oracle.maximum` the slowest query response time\n  - `oracle.minimum` the fastest query response time\n\n  Future agent releases will also report metrics for individual methods.\n\n### Object tracking\n\nThe agent can optionally track the creation and reclamation of JS objects over\ntime.  Tracking objects is an indispensable tool for hunting down memory leaks\nbut as it imposes some CPU and memory overhead, it's disabled by default.\n\n* `agent.metrics.startTrackingObjects()`\n\n  Start tracking objects.\n\n  Object tracking works by taking snapshots of the JavaScript heap at times\n  `t0` and `t1`, then calculating their set difference and intersection.\n  To a first approximation, memory overhead is `O(n)` and computational\n  complexity `O(n * lg n)`, where `n` is the number of objects in the\n  snapshots.\n\n* `agent.metrics.stopTrackingObjects()`\n\n  Stop tracking objects.  No further metrics will be reported.\n\nWhen enabled, the following metrics are reported at 15 second intervals:\n\n* `object.<type>.count`\n\n  The number of objects created and reclaimed of type `<type>` in the last\n  interval.  `<type>` is the name of the constructor that created the object,\n  e.g. `Array`, `Date`, etc.\n\n  If the count is less than zero, it means more objects have been reclaimed\n  than created.\n\n  Due to a known bug in the version of V8 that is bundled with node.js v0.10,\n  it is possible that the reported number is slightly lower than the actual\n  instance count.  Node.js v0.11 and newer are not affected.\n\n* `object.<type>.size`\n\n  The total size of the objects created and reclaimed of type `<type>` in\n  the last interval.  `<type>` is the name of the constructor that created\n  the object, e.g. `Array`, `Date`, etc.\n\n  If the size is less than zero, it means more objects have been reclaimed\n  than created.\n\n### CPU profiling\n\nThe agent has a built-in CPU profiler that produces output in a format that can\nbe imported into the [Chrome Developer Tools][].  The profiler is available with\nNode.js v0.11 and up.  Reduced functionality is available with Node.js v0.10;\ntop-level and bottom-up views work, chart and timeline views don't.\n\n* `agent.metrics.startCpuProfiling()` - Start the CPU profiler.  Throws an\n  Error when the CPU profiler is unavailable.\n\n  Calling this method multiple times is mostly harmless: the first call starts\n  the profiler, successive calls are no-ops.\n\n* `agent.metrics.stopCpuProfiling()` - Stop the CPU profiler.  Returns the\n  CPU profiler information as a JSON string that can be saved to disk for\n  further inspection.  Throws an Error when the CPU profile is unavailable, or\n  has not been started.\n\n  The filename must have a `.cpuprofile` suffix in order for the\n  [Chrome Developer Tools] importer to recognize it.\n\nExample usage:\n\n```javascript\n// Start collecting CPU profile traces whenever the\n// average event loop tick time exceeds 100 ms.\nvar agent = require('strong-agent');\nvar fs = require('fs');\nvar profiling = false;\n\nagent.use(function(name, value) {\n  if (name !== 'loop.average') return;\n  if (value > 100) {\n    if (profiling === true) return;\n    agent.metrics.startCpuProfiling();\n    profiling = true;\n  } else if (profiling === true) {\n    var filename = 'CPU-' + Date.now() + '.cpuprofile';\n    var data = agent.metrics.stopCpuProfiling();\n    fs.writeFileSync(filename, data);\n    profiling = false;\n  }\n});\n```\n\n### Custom metrics\n\nCustom metrics can be injected dynamically into running node processes, and will\nbe reported via the [Metrics API](metrics-api).\n\nCurrently, custom metrics can only be injected by using the command line, `slc\nrunctl patch ...`, see [strong-supervisor][] for information on how to call it.\n\nSupported metrics are counts and timers.\n\nCounts can be incremented and decremented, and require no context.\n\nTimers have a start, and a stop, and require a unique context capable of having\na timer property created.\n\nPatch files are JSON descriptions of a patch set. A patchset is:\n\n```\n{\n  FILESPEC: [\n    PATCH,\n    ...\n  ],\n  ...\n}\n```\n\nThe `FILESPEC` is a regex string long enough to uniquely match a script name.\n`index.js` is unlikely to be unique, `your-app/index.js` is probably unique.\nNote that the script names matched against are fully qualified when they were\nrequired (so lengthening the file path can always result in a unique spec), and\nshort when builtin to node (`^util.js$`).\n\nA file may have multiple patches applied. A patch is:\n\n```\n{\n  type: TYPE,\n  line: LINE,\n  metric: METRIC,\n  [context: CONTEXT,]\n}\n```\n\n`TYPE` is one of:\n\n- increment: increment the metric count\n- decrement: decrement the metric count\n- timer-start: start a metric timer\n- timer-stop: stop a metric timer\n\n`LINE` is the line number (the first line is line number `1`) at which the\nmetrics code will be inserted.\n\n`METRIC` is a dot-separated metric name. It will have `custom.` prepended to\navoid conflict with built-in metric names, and will have either `.count` or\n`.timer` appended (as appropriate), to indicate the type.\n\n`CONTEXT` is a javascript expression that must result in an object that can\nhave a timer property created on it.\n\n#### Example\n\nWith the following code in file `path/to/your-app/index.js`:\n\n```\n// save as `dyninst-metrics-example.js`\nvar http = require('http');\n\nhttp.createServer(request).listen(process.env.PORT || 3000);\n\nfunction request(req, res) {\n  setTimeout(function() { // line 7\n    res.end('OK\\n'); // line 8\n  }, Math.random() > 0.1 ? 10 : 100);\n}\n```\n\nThe above can be patched to keep a count of concurrent requests and a timer for\neach request by passing the following `patch.json` to `slc runctl patch`:\n\n```\n{\n  \"dyninst-metrics-example.js\": [\n    { \"type\": \"increment\", \"line\": 7, \"metric\": \"get.delay\" },\n    { \"type\": \"decrement\", \"line\": 8, \"metric\": \"get.delay\" },\n    { \"type\": \"timer-start\", \"line\": 7, \"metric\": \"get.delay\", \"context\": \"res\" },\n    { \"type\": \"timer-stop\", \"line\": 8, \"metric\": \"get.delay\", \"context\": \"res\" }\n  ]\n}\n```\n\nIn order to design your patch set, consider what the effect of the patch\ninsertion will be. Patches must be lexically valid at the insertion point,\nwhich is always the beginning of the line. The above patch set will,\nconceptually, result in the patched file looking like:\n\n```\n// save as `dyninst-metrics-example.js`\nvar http = require('http');\n\nhttp.createServer(request).listen(process.env.PORT || 3000);\n\nfunction request(req, res) {\nres.___timer = start('get.delay');increment('get.delay');  setTimeout(function() { // line 7\nres.___timer.stop();decrement('get.delay');   res.end('OK\\n'); // line 8\n  }, Math.random() > 0.1 ? 10 : 100);\n}\n```\n\nNote from the above:\n\n- Patches must by valid when inserted at the beginning of the specified line.\n- Patches can be cumulative, and previous patches don't change the line\n  numbering of the file.\n- The context is used to store a timer on start, that can be accessed on stop.\n  The context expression does not have to be identical for start and stop, but\n  must evaluate to the same object.\n- Duplicate stops as well as non-existence of a timer are ignored.\n- Metrics can have the same name, since the type is appended.\n\n\n[axon]: https://github.com/visionmedia/axon\n[http]: http://nodejs.org/api/http.html#http_http_request_options_callback\n[leveldown]: https://github.com/rvagg/node-leveldown\n[loopback-datasource-juggler]: https://github.com/strongloop/loopback-datasource-juggler\n[memcache]: https://github.com/elbart/node-memcache\n[memcached]: https://github.com/3rd-Eden/node-memcached\n[mongodb]: https://github.com/mongodb/node-mongodb-native\n[mysql]: https://github.com/felixge/node-mysql\n[postgres]: https://github.com/brianc/node-postgres\n[riak-js]: https://github.com/mostlyserious/riak-js\n[redis]: https://github.com/mranney/node_redis\n[strong-mq]: https://github.com/strongloop/strong-mq\n[strong-oracle]: https://github.com/strongloop/strong-oracle\n[oracle]: https://github.com/joeferner/node-oracle\n[oracledb]: https://github.com/oracle/node-oracledb\n[strong-supervisor]: https://github.com/strongloop/strong-supervisor\n[Chrome Developer Tools]: https://developer.chrome.com/devtools/docs/cpu-profiling\n","readmeFilename":"README.md","users":{"russt":true,"jklassen":true,"liveinjs":true,"simonfan":true,"vmikhail":true,"chrisyipw":true,"totolicious":true,"blessedfella":true,"mdedirudianto":true}}