collectd-rabbitmq 1.16.0

A collected plugin, written in python, tocollect statistics from RabbitMQ.

“A collected plugin, written in python, to collect statistics from RabbitMQ.”

• Free software: Apache license

• Documentation: https://collectd-rabbitmq.readthedocs.org.

• For the older single file version see https://github.com/NYTimes/collectd-rabbitmq/tree/0.1.1

Features

• Support queue, exchange, and node stats,

Configuration

This plugin supports a small amount of configuration options:

• Username: The rabbitmq user. Defaults to guest

• Password: The rabbitmq user password. Defaults to guest

• Realm: The http realm for authentication. Defaults to RabbitMQ Management

• Scheme: The protocol that the rabbitmq management API is running on. Defaults to http

• Host: The hostname that the rabbitmq server running on. Defaults to localhost

• Port: The port that the rabbitmq server is listening on. Defaults to 15672

• VHostPrefix: Arbitrary string to prefix the vhost name with. Defaults to None

• Ignore: The queue to ignore, matching by Regex. See example.

See this example for further details.

Nodes

For each node the following statistics are gathered:

• disk_free_limit

• fd_total

• fd_used

• mem_limit

• mem_used

• proc_total

• proc_used

• processors

• run_queue

• sockets_total

• sockets_used

Queues

For each queue in each vhost the following statistics are gathered: _NOTE_: The / vhost name is sent as default

• message_stats

  • deliver_get

  • deliver_get_details

    • rate

  • get

  • get_details

    • rate

  • publish

  • publish_details

    • rate

  • redeliver

  • redeliver_details

    • rate

• messages

• messages_details

  • rate

• messages_ready

• messages_ready_details

  • rate

• messages_unacknowledged

• messages_unacknowledged_details * rate

• memory

• consumers

Exchanges

For each exchange in each vhost the following statistics are gathered: _NOTE_: The / vhost name is sent as default

• disk_free

• disk_free_limit

• fd_total

• fd_used

• mem_limit

• mem_used

• proc_total

• proc_used

• processors

• run_queue

• sockets_total

• sockets_used

Credits

This package was created with Cookiecutter and the cookiecutter-pypackage project template.

History

0.1.0 (2014-09-18)

• First public release.