Scaling real-time AI agents with session-aware load balancing- Google Developers Blog

En 30 secondes

Ce qui s'est passé

Google describes session-aware load balancing for real-time AI agents, combining active session counts with CPU utilization to route traffic more effectively than traditional request-based metrics.

Pourquoi ça compte

Engineers building production voice, video, or streaming AI systems need this when standard load balancers fail to distribute long-lived bidirectional connections fairly across backend instances.

Vigilance

Session counters must be precise and synchronized; ghost sessions mislead routing decisions. CPU scaling with concurrent streams is non-linear, requiring safety dampening factors to prevent sudden traffic spikes.