Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

metrics

Package Overview
Dependencies
Maintainers
2
Versions
21
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

metrics

A node.js port of Coda Hale's metrics library. In use at Yammer.

  • 0.1.21
  • unpublished
  • latest
  • Source
  • npm
  • Socket score

Version published
Weekly downloads
12K
decreased by-23.87%
Maintainers
2
Weekly downloads
 
Created
Source

Metrics

Build Status

A node.js port of codahale's metrics library: https://github.com/codahale/metrics

Metrics provides an instrumentation toolkit to measure the behavior of your critical systems while they're running in production.

License

The MIT License (MIT) Copyright (c) 2012 Mike Ihbe

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.

How to Use

Import Metrics

metrics = require('metrics');

Start a metrics Server

var metricsServer = new metrics.Server(config.metricsPort || 9091);

Servers are only one way to report your metrics. It's actually a thin layer on top of metrics.Report, which you could use to build other reporting mechanisms.

Add the metrics to the server

metricsServer.addMetric('com.co.thingA', counter);
metricsServer.addMetric('com.co.thingB', hist1);
metricsServer.addMetric('com.co.thingC', hist2);
metricsServer.addMetric('com.co.thingD', meter);
metricsServer.addMetric('com.co.thingE', timer);

Setting up a Reporter

A reporting interface exists for reporting metrics on a recurring interval. Reporters can be found in reporting/.

// Report to console every 1000ms.
var report = new metrics.Report();
report.addMetric('com.co.thingA', counter);
var reporter = new metrics.ConsoleReporter(report);

reporter.start(1000);

Advanced Usage

Typical production deployments have multiple node processes per server. Rather than each process exposing metrics on different ports, it makes more sense to expose the metrics from the "master" process. Writing a thin wrapper around this api to perform the process communication is trivial, with a message passing setup, the client processes could look something like this:

var Metric = exports = module.exports = function Metrics(messagePasser, eventType) {
  this.messagePasser = messagePasser;
  this.eventType = eventType;
}

Metric.prototype.newMetric = function(type, eventType) {
  this.messagePasser.sendMessage({
    method: 'createMetric'
    , type: type
    , eventType: eventType
  });
}
Metric.prototype.forwardMessage = function(method, args) {
  this.messagePasser.sendMessage({
    method: 'updateMetric'
    , metricMethod: method
    , metricArgs: args
    , eventType: this.eventType
  }); 
}

Metric.prototype.update = function(val) { return this.forwardMessage('update', [val]); }
Metric.prototype.mark = function(n) { return this.forwardMessage('mark', [n]); }
Metric.prototype.inc = function(n) { return this.forwardMessage('inc', [n]); }
Metric.prototype.dec = function(n) { return this.forwardMessage('dec', [n]); }
Metric.prototype.clear = function() { return this.forwardMessage('clear'); }

And the server side that receives the createMetric and updateMetric rpcs could look something like this:

{
  createMetric: function(msg) {
      if (metricsServer) {
        msg.type = msg.type[0].toUpperCase() + msg.type.substring(1)
        metricsServer.addMetric(msg.eventType, new metrics[msg.type]);
      }
   }
  updateMetric: function(msg) {
    if (metricsServer) {
    var namespaces = msg.eventType.split('.')
      , event = namespaces.pop()
      , namespace = namespaces.join('.');
    var metric = metricsServer.trackedMetrics[namespace][event];
    metric[msg.metricMethod].apply(metric, msg.metricArgs);
  }
}

For multiple server deployments, you have more options, but the best approach will be highly application dependent. Best of luck, and always be tracking! Using the metrics server you can hit the server on your configured port and you'll get a json representation of your metrics. You should collect these periodically to generate timeseries to monitor the longterm health of your application. The metrics.Reporting object would let you write to a log periodically or however else you'd like to expose your metrics.

FAQs

Package last updated on 03 Jan 2019

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc