Event-driven microservices auto-scaling system using Kafka and multi-model ML consensus. Services emit metrics, classifiers vote on scaling actions, an authoritative controller aggregates decisions, and Kubernetes executes them. Includes persistence, retraining loop, and fault-tolerant control logic.