AsyncResult: >>> result = add.delay(4, 4) >>> result.ready() # returns True if the task has finished processing. False >>> result.result # task is not ready, so no return value yet. None >>> result.get() # the tasks won’t run long enough to block the worker from processing other waiting tasks. However, there’s a limit. Sending messages takes processing power and bandwidth. If your tasks are so short the overhead should reconsider your strategy. There is no universal answer here. Data locality The worker processing the task should be as close to the data as possible. The best would be to have a copy in memory

Daemon - celery.bin.celeryd Celery Periodic Task Server - celery.bin.celerybeat celeryev: Curses Event Viewer - celery.bin.celeryev caqmadm: AMQP API Command-line Shell - celery.bin.camqadm Celeryd Multi AsyncResult: >>> result = add.delay(4, 4) >>> result.ready() # returns True if the task has finished processing. False >>> result.result # task is not ready, so no return value yet. None >>> result.get() the tasks won’t run long enough to block the worker from processing other waiting tasks. However, there’s a limit. Sending messages takes processing power and bandwidth. If your tasks are so short the overhead

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica tools to tell you what your cluster is doing – in real-time. Read more…. Work-flows Simple and complex work-flows can be composed using a set of powerful primitives we call the “canvas”, including grouping

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica tools to tell you what your cluster is doing – in real-time. Read more…. Work-flows Simple and complex work-flows can be composed using a set of powerful primitives we call the “canvas”, including grouping

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica tools to tell you what your cluster is doing – in real-time. Read more…. Work-flows Simple and complex work-flows can be composed using a set of powerful primitives we call the “canvas”, including grouping

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica tools to tell you what your cluster is doing – in real-time. Read more…. Work-flows Simple and complex work-flows can be composed using a set of powerful primitives we call the “canvas”, including grouping

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica tools to tell you what your cluster is doing – in real-time. Read more…. Work-flows Simple and complex work-flows can be composed using a set of powerful primitives we call the “canvas”, including grouping

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Master/Master or Master/Slave tools to tell you what your cluster is doing – in real-time. Read more…. Workflows Simple and complex workflows can be composed using a set of powerful primitives we call the “canvas”, including grouping

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and hello(): return 'hello world' • Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Master/Master or Master/Slave tools to tell you what your cluster is doing – in real-time. Read more... . • Workflows Simple and complex workflows can be composed using a set of powerful primitives we call the “canvas”, including grouping

operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and hello(): return 'hello world' Highly Available Workers and clients will automatically retry in the event of connection loss or failure, and some brokers support HA in way of Primary/Primary or Primary/Replica tools to tell you what your cluster is doing – in real-time. Read more…. Work-flows Simple and complex work-flows can be composed using a set of powerful primitives we call the “canvas”, including grouping