Celery

Celery vs Sidekiq: which is better for queueing at scale?

The question is about Celery .

Answer:

Sidekiq, originally for Ruby, is highly performant due to optimised multithreading and resilience - making it a favourite for scaling massive queue workloads. However, in Python ecosystems, Celery (with correct setup, e.g., prefork, proper broker management) scales well but usually with higher resource use and staging complexity than Sidekiq. For pure Python, Celery is best for scale; but Sidekiq sets the benchmark if language mixing is allowed.

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David is a Senior Python, Django & FastAPI Developer with 8 years of backend experience. He specializes in building robust RESTful APIs and has extensive knowledge of frameworks such as Django and FastAPI, complemented by a s... Read More

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Emmanuel is a skilled Python/Django Engineer with 6 years of experience in developing robust backend systems. He has expertise in Python, Django, and Docker, alongside working with databases like PostgreSQL and Redis. His r... Read More

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Pavlo mostly specialises in Backend development with a strong emphasis on quantitative analysis and data processing. With nine years of experience, he is proficient in Python, Node.js and JavaScript, utilising frameworks such... Read More

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Victoriia S.

Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More

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