Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Celery Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers

Next Steps Resources User Guide Application Tasks Calling Tasks Canvas: Designing Work-flows Workers Guide Daemonization Periodic Tasks Routing Tasks Monitoring and Management Guide Security Optimizing between clients and workers. To initiate a task the 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 broker='amqp://guest@localhost//') @app.task def hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers