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Fullerite is a daemon which collect metrics periodically from various sources and sends them to different metric stores. Fullerite's pluggable architecture allows the users to implement collectors and handlers as they wish.

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fullerite

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Fullerite is a metrics collection tool. It is different than other collection tools (e.g. diamond, collectd) in that it supports multidimensional metrics from its core. It is also meant to innately support easy concurrency. Collectors and handler are sufficiently isolated to avoid having one misbehaving component affect the rest of the system. Generally, an instance of fullerite runs as a daemon on a box collecting the configured metrics and reports them via different handlers to endpoints such as graphite, kairosdb, signalfx, or datadog.

A summary of interesting features of fullerite include:

  • Fully compatible with diamond collectors
  • Written in Go for easy reliable concurrency
  • Configurable set of handlers and collectors
  • Native support for dimensionalized metrics
  • Internal metrics to track handler performance

Fullerite is also able to run Diamond collectors natively. This means you don't need to port your python code over to Go. We'll do the heavy lifting for you.

success story

  • Running on 1,000s of machines
  • Running on AWS and real hardware all over the world
  • Running 8-12 collectors and 1-2 handlers at the same time
  • Emitting over 5,000 metrics per flush interval on average per box
  • Well over 10 million metrics per minute

how it works

Fullerite works by spawning a separate goroutines for each collector and handler then acting as the conduit between the two. Each collector and handler can be individually configured with a nested JSON map in the configuration. But sane defaults are provided.

The fullerite_diamond_server is a process that starts each diamond collector in python as a separate process. The listening collector in go must also be configured on. Doing this each diamond collector will connect to the server and then start piping metrics to the collector. The server handles the transient connections and other such issues by spawning a new goroutine for each of the connecting collectors.

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using fullerite

Fullerite makes a deb package that can be installed onto a linux box. It has been tested a lot with Ubuntu trusty, lucid, and precise. Once installed it can be controlled like any normal service:

$ service fullerite [status | start | stop]
$ service fullerite_diamond_server [status | start | stop]

By default it logs out to /var/log/fullerite/*. It runs as user fullerite. This can all be changed by editing the /etc/default/fullerite.conf file. See the upstart scripts for fullerite and fullerite_diamond_server for more info.

You can also run fullerite directly using the commands: run-fullerite.sh and run-diamond-collectors.sh. These both have command line args that are good to use.

Finally, fullerite is just a simple go binary. You can manually invoke it and pass it arguments as you'd like.

supported collectors

supported handlers

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Fullerite is a daemon which collect metrics periodically from various sources and sends them to different metric stores. Fullerite's pluggable architecture allows the users to implement collectors and handlers as they wish.

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