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

Project description

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

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.

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