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appmetrics-statsd
Advanced tools
A connector that collects data using 'appmetrics' and sends it to a configured StatsD server using 'node-statsd'.
The StatsD Connector for Node Application Metrics can be installed via npm
:
$ npm install appmetrics-statsd
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);
The connector sends the following data values to StatsD from Node Application Metrics:
Gauges
cpu.process
the CPU usage of the application as a percentage of total machine CPUcpu.system
the CPU usage of the system as a percentage of total machine CPUGauges
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 eventeventloop.latency.max
the longest sampled latency for processing an eventeventloop.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.The Node Application Metrics to StatsD Connector is licensed using an Apache v2.0 License.
3.0.0
3.0.0 Remove fixed version of appmetrics in package.json
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
FAQs
StatsD connector for Node Application Metrics
The npm package appmetrics-statsd receives a total of 12 weekly downloads. As such, appmetrics-statsd popularity was classified as not popular.
We found that appmetrics-statsd demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
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.
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