Scaling Realtime Systems to 100k Connections: The Architecture That Worked

As AI-powered realtime applications scale to production, naive Redis pub/sub approaches fail on message persistence, fanout efficiency, and connection management. This case study reveals the architectural patterns—event routing, topic partitioning, and idempotent events—that transformed chaos into reliable 100k concurrent streaming, offering critical lessons for teams building scalable realtime backends.