Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. So New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: • The autoscaler adds more pool processes when there is work to do, – for the autoscaler by subclassing Autoscaler. Some ideas for met- rics include load average or the amount of memory available. You can specify a custom autoscaler with the CELERYD_AUTOSCALER setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. So New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: The autoscaler adds more pool processes when there is work to do, and rules for the autoscaler by subclassing Autoscaler. Some ideas for metrics include load average or the amount of memory available. You can specify a custom autoscaler with the CELERYD_AUTOSCALER setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: • The autoscaler adds more pool processes when there is work to do, – rules for the autoscaler by subclassing Autoscaler. Some ideas for met- rics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: • The autoscaler adds more pool processes when there is work to do, – rules for the autoscaler by subclassing Autoscaler. Some ideas for met- rics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: • The autoscaler adds more pool processes when there is work to do, – rules for the autoscaler by subclassing Autoscaler. Some ideas for met- rics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: • The autoscaler adds more pool processes when there is work to do, – rules for the autoscaler by subclassing Autoscaler. Some ideas for met- rics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: • The autoscaler adds more pool processes when there is work to do, – rules for the autoscaler by subclassing Autoscaler. Some ideas for met- rics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: • The autoscaler adds more pool processes when there is work to do, – rules for the autoscaler by subclassing Autoscaler. Some ideas for met- rics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: The autoscaler adds more pool processes when there is work to do, and rules for the autoscaler by subclassing Autoscaler. Some ideas for metrics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting. Queues

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: The autoscaler adds more pool processes when there is work to do, and rules for the autoscaler by subclassing Autoscaler. Some ideas for metrics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting. Queues