 Celery 3.1 Documentationsimple, flexible and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time task, a client adds a message to the queue, which the broker then delivers to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, autoscalers, broker transports and much more. It supports Brokers0 码力 | 887 页 | 1.22 MB | 1 年前3 Celery 3.1 Documentationsimple, flexible and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time task, a client adds a message to the queue, which the broker then delivers to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, autoscalers, broker transports and much more. It supports Brokers0 码力 | 887 页 | 1.22 MB | 1 年前3
 Celery v4.1.0 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1057 页 | 1.35 MB | 1 年前3 Celery v4.1.0 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1057 页 | 1.35 MB | 1 年前3
 Celery 3.1 Documentationsimple, flexible and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time task, a client adds a message to the queue, which the broker then delivers to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, autoscalers, broker transports and much more. It supports •0 码力 | 607 页 | 2.27 MB | 1 年前3 Celery 3.1 Documentationsimple, flexible and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time task, a client adds a message to the queue, which the broker then delivers to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, autoscalers, broker transports and much more. It supports •0 码力 | 607 页 | 2.27 MB | 1 年前3
 Celery v4.0.1 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1040 页 | 1.37 MB | 1 年前3 Celery v4.0.1 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1040 页 | 1.37 MB | 1 年前3
 Celery v4.0.2 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1042 页 | 1.37 MB | 1 年前3 Celery v4.0.2 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1042 页 | 1.37 MB | 1 年前3
 Celery 4.0 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1042 页 | 1.37 MB | 1 年前3 Celery 4.0 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1042 页 | 1.37 MB | 1 年前3
 Celery 4.4.0 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1185 页 | 1.42 MB | 1 年前3 Celery 4.4.0 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1185 页 | 1.42 MB | 1 年前3
 Celery 4.4.1 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1188 页 | 1.42 MB | 1 年前3 Celery 4.4.1 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1188 页 | 1.42 MB | 1 年前3
 Celery 4.4.2 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1188 页 | 1.42 MB | 1 年前3 Celery 4.4.2 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1188 页 | 1.42 MB | 1 年前3
 Celery v4.4.5 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1215 页 | 1.44 MB | 1 年前3 Celery v4.4.5 Documentationsimple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling can be extended or used on its own, Custom pool implementations, serializers, compression schemes, logging, schedulers, consumers, producers, broker transports, and much more. It supports Brokers RabbitMQ0 码力 | 1215 页 | 1.44 MB | 1 年前3
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