From Big iron To RabbitMQ
September 27, 2017 22:40
I developed one of the largest queue based medical results delivery systems in the world, 18,000+ queues and still growing over a decade later all using MQSeries, later called Websphere MQ. When I left that company I started using RabbitMQ after doing some research on free offerings.. it works brilliantly and is incredibly flexible from small scale single instance use to large scale multi-server - multi-site architectures.
If you can think in queues then RabbitMQ should be a viable solution for integrating disparate systems.
Cloudify uses RabbitMQ
The poster child for scalable messaging systems, RabbitMQ has been used in countless large scale systems as the messaging backbone of any large cluster, and has proven itself time and again in many production settings.
cjsaylor uses RabbitMQ
Rabbit acts as our coordinator for all actions that happen during game time. All worker containers connect to rabbit in order to receive game events and emit their own events when applicable.
Clarabridge CX Social uses RabbitMQ
Used as central Message Broker; off-loading tasks to be executed asynchronous, used as communication tool between different microservices, used as tool to handle peaks in incoming data, etc.
Analytical Informatics uses RabbitMQ
RabbitMQ is the enterprise message bus for our platform, providing infrastructure for managing our ETL queues, real-time event notifications for applications, and audit logging.
Packet uses RabbitMQ
RabbitMQ is an all purpose queuing service for our stack. We use it for user facing jobs as well as keeping track of behind the scenes jobs.
Spidy88 uses CloudAMQP
Provides durable queues that allow the front-end website to accept events and turn them into jobs for the background workers to process.
HyperTrack uses CloudAMQP
Used along with Celery, for offloading CPU intensive tasks to separate workers instead of running them on our application server.