development version 1.1.1 Synopsis Celery is an open source asynchronous task queue/job queue based on distributed message passing. Focused on real- time operation, but supports scheduling as well. The execution asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks every hour. 3 Celery Documentation, Release 2.5.5 Celery is written used. The easiest way to share data between workers is to use a distributed cache system, like memcached. See also: The paper Distributed Computing Economics by Jim Gray is an excellent introduction to

version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a

version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a

version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a

version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a

version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a

version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a

version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a

version of Celery (4.4). For development docs, go here. Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike in seconds, minutes or hours by appending “/s”, “/m” or “/h” to the value. Tasks will be evenly distributed over the specified time frame. Example: “100/m” (hundred tasks a minute). This will enforce a

describes an older version of Celery (2.5). For the latest stable version please go here. Celery - Distributed Task Queue Contents: Getting Started Introduction Brokers First steps with Celery Resources Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Synopsis Overview Example Features Documentation Installation Bundles Downloading and installing development version Synopsis Celery is an open source asynchronous task queue/job queue based on distributed message passing. Focused on real-time operation, but supports scheduling as well. The execution