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Learn how to build reliable Celery async tasks that handle failures gracefully. Master idempotency, atomicity, retries, and monitoring to create production-ready distributed systems.
Master task management with Celery in Python. Learn best practices for Django Celery tasks to ensure reliability and efficiency in your applications.
In this article, you will understand how a task queue works and what are the components of its architecture. We will focus on Celery, the most popular tool for the job in Python projects.
In partnership with Django Boston, Vinta promoted a workshop on how to boost Django projects with Celery. Learn more and scale your web applications using Celery.
In collaboration with Boston Python, we hosted two Django Talks. Topics included API Client Generation with DRF-Spectacular and Reliable Async Tasks with Celery. Connect and learn from our experiences.
Let's go through two of the problems that may happen if we don’t take care of our routes: delay and resource starvation.
Celery is a great tool to run asynchronous tasks. It handles situations where you don't want to lock web requests with time consuming operations or when you want things to happen after some time or even in specific date/time in the future.
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