0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores). You can specify a custom number using the celery worker -c option then you can try to increase it. Experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores). You can specify a custom number using the celery worker -c option then you can try to increase it. Experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores). You can specify a custom number using the celery worker -c option then you can try to increase it. Experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores). You can specify a custom number using the celery worker -c option then you can try to increase it. Experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option then you can try to increase it, experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

0.3} Very frequent polling intervals can cause busy loops, resulting in the worker using a lot of CPU time. If you need sub-millisecond precision you should consider using another transport, like RabbitMQ of the tasks to finish before it can be processed. The default concurrency number is the number of CPU’s on that machine (including cores), you can specify a custom number using the celery worker -c option then you can try to increase it, experimentation has shown that adding more than twice the number of CPU’s is rarely effective, and likely to degrade performance instead. Including the default prefork pool

be a good idea to disable them completely. This will disable one thread, and it won’t spend as many CPU cycles when the queue is inactive. Set the CELERY_DISABLE_RATE_LIMITS setting to disable the rate multiprocessing pool can take use of multiple processes, but how many is often limited to a few processes per CPU. With Eventlet you can efficiently spawn hundreds, or thousands of green threads. In an informal test Worker settings ## If you're doing mostly I/O you can have more processes, ## but if mostly spending CPU, try to keep it close to the ## number of CPUs on your machine. If not set, the number of CPUs/cores

be a good idea to disable them completely. This will disable one thread, and it won’t spend as many CPU cycles when the queue is inactive. Set the CELERY_DISABLE_RATE_LIMITS setting to disable the rate multiprocessing pool can take use of multiple processes, but how many is often limited to a few processes per CPU. With Eventlet you can efficiently spawn hundreds, or thousands of green threads. In an informal test Worker settings ## If you're doing mostly I/O you can have more processes, ## but if mostly spending CPU, try to keep it close to the ## number of CPUs on your machine. If not set, the number of CPUs/cores

be a good idea to disable them completely. This will disable one thread, and it won’t spend as many CPU cycles when the queue is inactive. Set the CELERY_DISABLE_RATE_LIMITS setting to disable the rate multiprocessing pool can take use of multiple processes, but how many is often limited to a few processes per CPU. With Eventlet you can efficiently spawn hundreds, or thousands of green threads. In an informal test Worker settings ## If you're doing mostly I/O you can have more processes, ## but if mostly spending CPU, try to keep it close to the ## number of CPUs on your machine. If not set, the number of CPUs/cores

be a good idea to disable them completely. This will disable one thread, and it won’t spend as many CPU cycles when the queue is inactive. Set the CELERY_DISABLE_RATE_LIMITS setting to disable the rate multiprocessing pool can take use of multiple processes, but how many is often limited to a few processes per CPU. With Eventlet you can efficiently spawn hundreds, or thousands of green threads. In an informal test Worker settings ## If you’re doing mostly I/O you can have more processes, ## but if mostly spending CPU, try to keep it close to the ## number of CPUs on your machine. If not set, the number of CPUs/cores