Background Tasks with FastAPI Background Tasks and Celery + Redis - FastAPI Beyond CRUD (Part 20)

In this video, we dive deep into boosting your FastAPI application by offloading time-consuming tasks to the background. We'll start by exploring FastAPI's built-in background tasks, demonstrating how to execute functions asynchronously without blocking the main thread. Next, we'll introduce Celery, a powerful task queue system, to handle more complex background jobs. You'll learn how to integrate Celery with FastAPI, creating a robust and scalable architecture for your application. To conclude, we'll showcase Flower, a user-friendly web interface for monitoring and managing Celery tasks. This tool provides insights into your task queues, helping you troubleshoot and optimize performance effectively. COURSE WEBSITE: https://jod35jon.github.io/fastapi-website/site/ SOURCE CODE: https://github.com/jod35/fastapi-beyond-CRUD #python #fastapi #apidevelopment #redis PLEASE DONATE TO THE CHANNEL THROUGH: BUY ME A COFFEE: https://buymeacoffee.com/jod35 PATREON: https://www.patreon.com/jod35 You can also consider Becoming a member of this channel. FOLLOW ME: X: https://x.com/jod35_ GITHUB: http://github.com/jod35 TIMESTAMPS (00:00:00) Introduction (00:01:53) FastAPI Background Tasks (00:05:06) Installing Celery (00:06:04) Explaining Celery Concepts (00:07:28) Configuring Celery (00:11:18) Creating the first Celery task (00:18:58) Using Celery Tasks (00:22:35) Running a Celery worker (00:22:35) Running Celery workers (00:34:43) Monitor Tasks with Flower (00:43:14) Conclusion