Async Celery by Example: Why and How

You can fetch top 50 images from Google, Facebook and Twitter image search using different approaches: fetching them in the request-response cycle, splitting the work between two requests or using an async library like Celery. The first approach is not recommended as it makes users wait while server processes the data. The second approach improves user experience by providing feedback but ties up valuable resources. The third approach uses a message queue to move intensive processes outside of the request process entirely, resulting in faster responses and improved scalability. Using Celery requires more complexity but can handle large volumes and long-lived tasks efficiently.

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