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 command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait

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 the command-line by using the -b option. – Concurrency is the number of prefork worker process used to process your tasks concurrently, when all of these are busy doing work new tasks will have to wait