StatsD Connector for Node Application Metrics

A connector that collects data using 'appmetrics' and sends it to a configured StatsD server using 'node-statsd'.

Getting Started

Installation

The StatsD Connector for Node Application Metrics can be installed via npm:

$ npm install appmetrics-statsd

Configuring the StatsD Connector for Node Application Metrics

The connector can be used in your application by requiring it as the first line of your application:

var appstatsd = require('appmetrics-statsd').StatsD();

Configuration of the connection to the StatsD server is possible by passing parameters to the StatsD() function. These are passed directly though to the StatsD constructor in the node-statsd module. Information for that module is available here: https://www.npmjs.com/package/node-statsd

Additional data may also be sent to StatsD using the standard node-statsd module Client APIs, eg.

var statsd = require('appmetrics-statsd').StatsD();

statsd.gauge('gauge', 10.4);

Data Provided

The connector sends the following data values to StatsD from Node Application Metrics:

CPU

Gauges

• cpu.process the CPU usage of the application as a percentage of total machine CPU
• cpu.system the CPU usage of the system as a percentage of total machine CPU

System Memory

Gauges

• memory.process.private the amount of memory used by the Node.js application that cannot be shared with other processes, in bytes.
• memory.process.physical the amount of RAM used by the Node.js application in bytes.
• memory.process.virtual the memory address space used by Node.js application in bytes.
• memory.system.used the total amount of RAM in use on the system in bytes.
• memory.system.total the total amount of RAM available on the system in bytes.

####Event Loop

• eventloop.latency.min the shortest sampled latency for processing an event
• eventloop.latency.max the longest sampled latency for processing an event
• eventloop.latency.avg the mean sampled latency for processing an event

####Garbage Collection

Gauges

• gc.size the size of the JavaScript heap in bytes.
• gc.used the amount of memory used on the JavaScript heap in bytes.

Timers

• gc.duration the duration of the GC cycle in milliseconds.

####HTTP Requests

Timers

• http the time taken for the HTTP request to be responded to in ms.

####Socket.io

Timers

• socketio.broadcast.<event> the time taken for the broadcast to all clients of the named socketio event.
• socketio.emit.<event> the time taken for the emit to a single client of the named socketio event.
• socketio.receive.<event> the time taken for a received named socketio event to be handled.

####MySQL Queries

Timers

• mysql the time taken for the given MySQL query to be responded to in ms.

####MongoDB Queries

Timers

• mongo the time taken for the given MongoDB query to be responded to in ms.

####Leveldown Queries

Timers

• levedown.get the time taken for the Leveldown get to be responded to in ms.
• levedown.put the time taken for the Leveldown put to be responded to in ms.
• levedown.del the time taken for the Leveldown del to be responded to in ms.
• levedown.batch the time taken for the Leveldown batch to be run in ms.

####Redis Queries

Timers

• redis.<cmd> the time taken for the given Redis command to be responded to in ms.

####Memcached Operations

Timers

• memcached.<method> the time taken for the given Memcached method to be responded to in ms.

####PostgreSQL Queries

Timers

• postgres the time taken for the given PostgresSQL query to be responded to in ms.

####MQTT Messaging

Timers

• mqtt.<method>.<topic> the time taken for a MQTT message to handled on a given topic in ms.

####MQLight Messaging

Timers

• mqlight.<method>.<topic> the time taken for a MQLight message to handled on a given topic in ms.

License

The Node Application Metrics to StatsD Connector is licensed using an Apache v2.0 License.

Version

2.0.0

Version History

2.0.0 Update appmetrics version to 3.x.x

1.0.1 Add support for Event Loop, HTTP, Socketio, MongoDB, MySQL, Leveldown, Redis, Memcached, POstgreSQL, MQTT and MQLight
1.0.0 Initial release