"KubeMQ is a Cloud Native, enterprise-grade, message broker for distributed services architecture.
KubeMQ is provided as a small, lightweight Docker container, designed for any workload and architecture running in Kubernetes or any other container orchestration system which support Docker."
"Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers using multiprocessing, Eventlet, or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day."
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
The execution units, called tasks, are executed concurrently on a single or more worker servers. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).
Celery is already used in production to process millions of tasks a day.
Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks.
dropr is a distributed message queue framework written in PHP. The main goals are:
* reliable and durable (failsafe)-messaging over networks
* decentralized architecture without a single (point of failure) server instance
* easy to setup and use
* modularity for queue storage and message transports (currently filesystem storage and curl-upload are implemented)