millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ Tyrant, AMQP (high performance). Web- hooks Your tasks can also be HTTP callbacks, enabling cross-language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which fails – Using a custom retry delay • Task options – Message and routing options • Example – blog/models.py – blog/views.py – blog/tasks.py • How it works • Tips and Best Practices – Ignore results you

millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks [http://ask.github.com/celery/userguide/remote-tasks Tyrant, AMQP (high performance). Webhooks Your tasks can also be HTTP callbacks, enabling cross- language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which something fails Using a custom retry delay Task options Message and routing options Example blog/models.py blog/views.py blog/tasks.py How it works Tips and Best Practices Ignore results you don’t want

millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks [http://ask.github.com/celery/userguide/remote-tasks Tyrant, AMQP (high performance). Webhooks Your tasks can also be HTTP callbacks, enabling cross- language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which Performance and Strategies Granularity Data locality State Database transactions Example blog/models.py blog/views.py blog/tasks.py This guide gives an overview of how tasks are defined. For a complete

millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ Tyrant, AMQP (high performance). Web- hooks Your tasks can also be HTTP callbacks, enabling cross-language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which and Strategies – Granularity – Data locality – State – Database transactions • Example – blog/models.py – blog/views.py – blog/tasks.py This guide gives an overview of how tasks are defined. For a

millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks [http://ask.github.com/celery/userguide/remote-tasks or AMQP (message notification). Webhooks Your tasks can also be HTTP callbacks, enabling cross- language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which Performance and Strategies Granularity Data locality State Database transactions Example blog/models.py blog/views.py blog/tasks.py This guide gives an overview of how tasks are defined. For a complete

millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ AMQP (message notification). Web- hooks Your tasks can also be HTTP callbacks, enabling cross-language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which and Strategies – Granularity – Data locality – State – Database transactions • Example – blog/models.py – blog/views.py – blog/tasks.py This guide gives an overview of how tasks are defined. For a

millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ AMQP (message notification). Web- hooks Your tasks can also be HTTP callbacks, enabling cross-language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which and Strategies – Granularity – Data locality – State – Database transactions • Example – blog/models.py – blog/views.py – blog/tasks.py This guide gives an overview of how tasks are defined. For a

the protocol can be implemented in any language. It can also operate with other languages using webhooks. There’s also RCelery for the Ruby programming language, and a PHP client. The recommended message AMQP (message notification). Web- hooks Your tasks can also be HTTP callbacks, enabling cross-language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which and Strategies – Granularity – Data locality – State – Database transactions • Example – blog/models.py – blog/views.py – blog/tasks.py This guide gives an overview of how tasks are defined. For a

millions of tasks every hour. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks [http://celery.github.com/celery/userguide/remote-tasks There’s also RCelery [http://leapfrogdevelopment.github.com/rcelery/] for the Ruby programming language, and a PHP client [https://github.com/gjedeer/celery-php]. The recommended message broker is RabbitMQ or AMQP (message notification). Webhooks Your tasks can also be HTTP callbacks, enabling cross- language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which

millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks [http://ask.github.com/celery/userguide/remote-tasks or AMQP (message notification). Webhooks Your tasks can also be HTTP callbacks, enabling cross- language communication. Rate limiting Supports rate limiting by using the token bucket algorithm, which Performance and Strategies Granularity Data locality State Database transactions Example blog/models.py blog/views.py blog/tasks.py This guide gives an overview of how tasks are defined. For a complete