Beyond Fire-and-Forget: Choosing Task Queues for Reliable AI Processing

The right task queue architecture is crucial for multi-tenant AI systems where queue failures cascade across all customers. BackgroundTasks suits simple workloads but loses work on crashes, while Celery ensures persistence at the cost of operational complexity. Understanding when each pattern breaks in production determines whether your AI features reliably serve hundreds of concurrent customers or mysteriously fail them.