The goal of this library is to provide a consistent API for sending metrics from our NodeJS services.
This library exposes a constructor which provides the following metric API calls:
- count
- increment
- decrement
- timing
- timer
- gauge
- set
var opts = {
prefix: 'services.myapp', //optional
statsd: {
prefix: 'account-uuid', // optional
host: '10.1.1.5',
port: 8125
}
on_error: function errorHandler(err) { // if not defined, will emit 'error' instead
console.log(err);
}
}
If the values change, yodlr-metrics will dynamically reconfigure how it sends data. You don't need to modify you code at all.
If insufficient data is provided in etcd, yodlr-metrics will emit an error which you should capture and probably log.
var opts = {
etcdHost: '172.17.42.1', // default, optional
etcdPort: 4001, // default, optional
prefix: 'services.myapp', // optional
statsd: {
prefix_etcd: '/services/statsd/prefix', // optional
hostEtcd: '/services/statsd/host',
portEtcd: '/services/statsd/port'
}
}
Once you've decided on your configuration, you can construct a metrics object like this:
var YodlrMetrics = require('yodlr-metrics');
var opts = {
prefix: 'services.myapp',
statsd: {
prefix: 'account-uuid',
host: '10.1.1.5',
port: 8125
}
}
var metric = new YodlrMetrics(opts);
metric.on('error', function metricError(err) {
console.log('Uh oh, error in yodlr-metrics', err);
})
Increases or decreased a counter by the provider number.
metric.count('users.new', 5); // increments counter by 5
Increases a counter by 1
metric.increment('users.new'); // increments counter by 1
Decreases a counter by 1
metric.decrement('users.new'); // increments counter by 1
Sends a timing metric in ms
metric.timing('user.ping_latency', 50); // sends timing metric of 50ms
Variation on the timing metric which provides a timing object with a Stop() function
var timer = metric.createTimer('user.ping_latency');
setTimeout(function() {
timer.stop(); // sends timing metric from when object was created
}, 50);
Sets a currently configured gauge to this new value
metric.gauge('users.current_connected', 500); // sets gauge to 500
Used to count unique occurrences of events between flushes, using a Set to store all occurring events.
If a method is called multiple times with the same value in the same sample period, that value will only be counted once.
metric.set('users.active', 'Jared');
metric.set('users.active', 'Tom');
metric.set('users.active', 'Jared'); //