RabbitMQ on OS X First steps with Celery Creating a simple task Configuration Running the celery worker server Executing the task Where to go from here Resources Getting Help Bug tracker Wiki Contributing scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet [http://eventlet.net/] or gevent [http://gevent.org/]. Tasks can github.com/downloads/ask/celery/Celery-Overview-v4.jpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on

First steps with Celery Choosing your Broker Creating a simple task Configuration Running the celery worker server Executing the task Where to go from here Resources Getting Help Bug tracker Wiki Contributing scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet [http://eventlet.net/] or gevent [http://gevent.org/]. Tasks can github.com/downloads/ask/celery/Celery-Overview-v4.jpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on

RabbitMQ on OS X First steps with Celery Creating a simple task Configuration Running the celery worker server Executing the task Where to go from here Resources Getting Help Bug tracker Wiki Contributing scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet [http://eventlet.net/] or gevent [http://gevent.org/]. Tasks can github.com/downloads/ask/celery/Celery-Overview-v4.jpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on

First steps with Celery Choosing your Broker Creating a simple task Configuration Running the celery worker server Executing the task Where to go from here Resources Getting Help Bug tracker Wiki Contributing scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet [http://eventlet.net/] or gevent [http://gevent.org/]. Tasks can github.com/downloads/celery/celery/Celery-Overview-v4.jpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on

Overview First Steps with Celery Choosing a Broker Installing Celery Application Running the celery worker server Calling the task Keeping Results Configuration Where to go from here Troubleshooting Next work across threads or machines. A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages workers. To initiate a 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

Overview First Steps with Celery Choosing a Broker Installing Celery Application Running the Celery worker server Calling the task Keeping Results Configuration Where to go from here Troubleshooting Next work across threads or machines. A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages 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 way to high availability and

Overview First Steps with Celery Choosing a Broker Installing Celery Application Running the Celery worker server Calling the task Keeping Results Configuration Where to go from here Troubleshooting Next work across threads or machines. A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages 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 way to high availability and

Overview First Steps with Celery Choosing a Broker Installing Celery Application Running the Celery worker server Calling the task Keeping Results Configuration Where to go from here Troubleshooting Next work across threads or machines. A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages 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 way to high availability and

Overview First Steps with Celery Choosing a Broker Installing Celery Application Running the Celery worker server Calling the task Keeping Results Configuration Where to go from here Troubleshooting Next work across threads or machines. A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages 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 way to high availability and

- celery.events In-memory Representation of Cluster State - celery.events.state App: Worker Node - celery.apps.worker App: Periodic Task Scheduler - celery.apps.beat Base Command - celery.bin.base celeryd celery.bin.celeryd_multi Internals Celery Deprecation Timeline Internals: The worker Task Message Protocol List of Worker Events Module Index Internal Module Reference Change history 2.1.5 2.1.4 2.1 RabbitMQ on OS X First steps with Celery Creating a simple task Configuration Running the celery worker server Executing the task Where to go from here Resources Getting Help Bug tracker Wiki Contributing