#celery

This article demystifies Celery, a Python tool for managing background tasks using message queues. It covers its architecture—transport, serialization, and workers—outlines concurrency models, task limits, and configurations. Learn about Celery Beat for scheduling, Result Backends for task outcomes, and Flower for monitoring. Perfect for both beginners and veterans, this guide offers practical examples and a link to a template repository for hands-on experience.