collectd-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
• ValidateCerts: You can ignore verifying the SSL certificate if you set it to false. Defaults to true
• 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
• consumer_utilisation

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.