Building Reliable Realtime AI: Why Architecture Beats Scaling After 10M WebSocket Events

Most teams solving realtime system problems stop at Redis scaling or Kafka adoption, missing the deeper architectural truth: transport and orchestration cannot be engineered as separate concerns. This case study reveals how 10M WebSocket events exposed fundamental design flaws in multi-tenant AI pipelines, and how dedicated orchestration services with explicit delivery semantics solve the hidden complexity that pure scaling cannot address.