A distributed task queue for Python that enables asynchronous processing and scheduled job execution.
Celery processes tasks asynchronously using workers that consume from a message broker (Redis, RabbitMQ). It supports task retries, rate limiting, task chains, periodic scheduling (Celery Beat), and monitoring (Flower). It's the standard for background processing in Django applications.
Using Celery with Redis to process blog content generation tasks in the background, with Celery Beat scheduling daily SEO audits.
Celery keeps web requests fast by offloading slow operations (email sending, report generation, API calls) to background workers.
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