# Supported tags and respective `Dockerfile` links - [`3.4.2`, `3.4`, `3`, `latest` (*Dockerfile*)](https://github.com/docker-library/rabbitmq/blob/a5446802167ab04b780eef1505fc1ab3c48e24df/Dockerfile) - [`3.4.2-management`, `3.4-management`, `3-management`, `management` (*management/Dockerfile*)](https://github.com/docker-library/rabbitmq/blob/a5446802167ab04b780eef1505fc1ab3c48e24df/management/Dockerfile) For more information about this image and its history, please see the [relevant manifest file (`library/rabbitmq`)](https://github.com/docker-library/official-images/blob/master/library/rabbitmq) in the [`docker-library/official-images` GitHub repo](https://github.com/docker-library/official-images). # What is RabbitMQ? RabbitMQ is open source message broker software (sometimes called message-oriented middleware) that implements the Advanced Message Queuing Protocol (AMQP). The RabbitMQ server is written in the Erlang programming language and is built on the Open Telecom Platform framework for clustering and failover. Client libraries to interface with the broker are available for all major programming languages. > [wikipedia.org/wiki/RabbitMQ](https://en.wikipedia.org/wiki/RabbitMQ) ![logo](https://raw.githubusercontent.com/docker-library/docs/master/rabbitmq/logo.png) # How to use this image ## Running the daemon One of the important things to note about RabbitMQ is that it stores data based on what it calls the "Node Name", which defaults to the hostname. What this means for usage in Docker is that we should either specify `-h`/`--hostname` or `-e RABBITMQ_NODENAME=...` explicitly for each daemon so that we don't get a random hostname and can keep track of our data: docker run -d -e RABBITMQ_NODENAME=my-rabbit --name some-rabbit rabbitmq:3 If you give that a minute, then do `docker logs some-rabbit`, you'll see in the output a block similar to: =INFO REPORT==== 31-Dec-2014::23:21:09 === node : my-rabbit@988c28b0eb2e home dir : /var/lib/rabbitmq config file(s) : /etc/rabbitmq/rabbitmq.config (not found) cookie hash : IFQiLgiJ4goGJrdsLJvN7A== log : undefined sasl log : undefined database dir : /var/lib/rabbitmq/mnesia/my-rabbit Note the `database dir` there, especially that it has my `RABBITMQ_NODENAME` appended to the end for the file storage. This image makes all of `/var/lib/rabbitmq` a volume by default. ### Management Plugin There is a second set of tags provided with the [management plugin](https://www.rabbitmq.com/management.html) installed and enabled by default, which is available on the standard management port of 15672, with the default username and password of `guest` / `guest`: docker run -d -e RABBITMQ_NODENAME=my-rabbit --name some-rabbit rabbitmq:3-management You can access it by visiting `http://container-ip:15672` in a browser or, if you need access outside the host, on port 8080: docker run -d -e RABBITMQ_NODENAME=my-rabbit --name some-rabbit -p 8080:15672 rabbitmq:3-management You can then go to `http://localhost:8080` or `http://host-ip:8080` in a browser. ## Connecting to the daemon docker run --name some-app --link some-rabbit:rabbit -d application-that-uses-rabbitmq # License View [license information](https://www.rabbitmq.com/mpl.html) for the software contained in this image. # Supported Docker versions This image is officially supported on Docker version 1.4.1. Support for older versions (down to 1.0) is provided on a best-effort basis. # User Feedback ## Issues If you have any problems with or questions about this image, please contact us through a [GitHub issue](https://github.com/docker-library/rabbitmq/issues). You can also reach many of the official image maintainers via the `#docker-library` IRC channel on [Freenode](https://freenode.net). ## Contributing You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can. Before you start to code, we recommend discussing your plans through a [GitHub issue](https://github.com/docker-library/rabbitmq/issues), especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.