Celery Documentation, Release 3.1.25 Celery is a simple, flexible and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system brokers support HA in way of Master/Master or Master/Slave replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, py-librabbitmq the application user guide. app.conf.update( CELERY_TASK_RESULT_EXPIRES=3600, ) if __name__ == '__main__': app.start() In this module you created our Celery instance (sometimes referred to as the app)

Celery - Distributed Task Queue Celery is a simple, flexible and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system brokers support HA in way of Master/Master or Master/Slave replication. Fast A single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, py-librabbitmq application user guide. app.conf.update( CELERY_TASK_RESULT_EXPIRES=3600, ) if __name__ == '__main__': app.start() In this module you created our Celery instance (sometimes referred to as the

Celery Documentation, Release 4.1.0 Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq is only needed so that names can be automati- cally generated when the tasks are defined in the __main__ module. The second argument is the broker keyword argument, specifying the URL of the message broker

Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system support HA in way of Primary/Primary or Primary/Replica replication. Fast A single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq module, this only needed so names can be automatically generated when the tasks are defined in the __main__ module. The second argument is the broker keyword argument, specifying the URL of the message broker

Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system support HA in way of Primary/Primary or Primary/Replica replication. Fast A single Celery process can process millions of tasks a minute, with sub- millisecond round-trip latency (using RabbitMQ, librabbitmq module, this only needed so names can be automatically generated when the tasks are defined in the __main__ module. The second argument is the broker keyword argument, specifying the URL of the message broker

Celery Documentation, Release 4.0.0 Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq module, this only needed so names can be automatically generated when the tasks are defined in the __main__ module. The second argument is the broker keyword argument, specifying the URL of the message broker

Celery Documentation, Release 4.0.1 Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq module, this only needed so names can be automatically generated when the tasks are defined in the __main__ module. The second argument is the broker keyword argument, specifying the URL of the message broker

Celery Documentation, Release 4.0.0 Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq module, this only needed so names can be automatically generated when the tasks are defined in the __main__ module. The second argument is the broker keyword argument, specifying the URL of the message broker

Celery Documentation, Release 4.0.2 Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq module, this only needed so names can be automatically generated when the tasks are defined in the __main__ module. The second argument is the broker keyword argument, specifying the URL of the message broker

Celery Documentation, Release 4.0.2 Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system support HA in way of Primary/Primary or Primary/Replica replication. • Fast A single Celery process can process millions of tasks a minute, with sub-millisecond round-trip latency (using RabbitMQ, librabbitmq module, this only needed so names can be automatically generated when the tasks are defined in the __main__ module. The second argument is the broker keyword argument, specifying the URL of the message broker