From APIs to Events: Rearchitecting Backends for AI Inference

Message brokers are becoming essential infrastructure rather than background plumbing as AI inference scales across distributed systems. The shift from traditional request-response APIs to event-driven, asynchronous pipelines requires developers to rethink system architecture around GPU-backed workers and streaming data flows. For senior engineers, staying relevant means adapting proven distributed systems patterns to solve AI-specific challenges like latency-critical inference and massive parallel compute.