StatsC
StatsC lets you log statistics to your graphite/statsd servers straight from the browser.
Just like StatsD, StatsC is a fire and forget thing. StatsC can't take your site down if it fails, only statistics won't get logged.
StatsC is transport agnostic so you can use whatever transport method you want.
By default it uses script-tags to provide cross domain ajax without using any libraries. Logging operations are buffered for 5s and then transmitted together.
Installation
Server
$ sudo npm install -g statsc
$ statsc-server
StatsC server listening on port 8127or
$ npm install statscvar statsc = require('statsc');
var http = require('http');
http.createServer(statsc.http).listen(8127, function() {
console.log('StatsC server listening on port 8127');
});Client
Include the client script in your <head>:
<script src="client.js"></script>For testing you can serve it from rawgithub.com:
<script src="https://rawgithub.com/godmodelabs/statsc/master/client.js"></script>StatsC automatically sends collected metrics to http://localhost:8127/ over the standard transport.
You can scale this thing up easily by just picking one of your available servers randomly, like:
var availablePorts = [8127, 8128, 8129];
var port = availablePorts[Math.round(Math.random()*availablePorts.length)-1];
stats.connect('addr:'+port);Server API
statsc.http(req, res)
HTTP(s) server handle. Pass to http(s).createServer() in order to handle the standard script-tag transport.
statsc.receive(op)
Logs op to StatsD.
You have to use this if you don't use statsc.http.
Example with Learnboost/socket.io:
socket.on('statsc', function(data) {
statsc.receive(data);
});statsc.setAddress(addr)
Configure the address at which StatsD runs.
Client API
statsc.connect(addr)
Use this if the server isnt listening on http://localhost:8127 or perhaps if you are using a custom send method.
statsc.increment(stat[, sampleRate])
Increment the counter at stat by 1.
statsc.decrement(stat[, sampleRate])
Decrement the counter at stat by 1.
statsc.gauge(stat, value[, sampleRate])
Set the gauge at stat to value.
statsc.timing(stat, time[, sampleRate])
Log time to stat.
time can either be
- a number in milliseconds
- a Date object, created at the timer's start
- a synchronous function to be timed
statsc.timer(stat[, sampleRate])
Timer utility in functional style.
Returns a function you can call when you want to mark your timer as resolved.
statsc.send(data)
Standard implementation of a send method using script tags. This shouldn't need to be called manually.
Overwrite this if you want to use websockets or jsonp or whatever.
Example using LearnBoost/socket.io:
statsc.send = function(data) {
socket.emit('statsc', data);
};License
(MIT)
Copyright (c) 2012 Julian Gruber <jgruber@boerse-go.de>
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.