Supercharging Your Fastapi Application with Celery and RabbitMQ.

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When you need to perform heavy or time-consuming tasks like sending emails, processing large files, or crunching numbers, you might want something more robust to handle these tasks in the background. This is where Celery comes into play. Paired with RabbitMQ, Celery can transform your FastAPI application into a powerhouse that efficiently handles background tasks.

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This article will explore using Celery with RabbitMQ in a FastAPI application. We’ll explore why and when to use Celery, compare it with FastAPI’s built-in background tasks, and explain why RabbitMQ is our broker.

Before starting let's understand Why we need Celery?

Celery is an asynchronous task queue system that allows you to run tasks in the background. It’s useful as mentioned below:

• Time-Consuming Tasks: Tasks that take a long time to complete, like sending bulk emails, or tasks that are not important like sending a welcome message.
• Repetitive Tasks: like scheduled jobs, are managed efficiently by Celery.
• Error Handling: Celery provides…