In the news
Scaling real-time AI agents with session-aware load balancing- Google Developers Blog
Google Developers · Published · 3 min read
In 30 seconds
- What happened
- 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.
- Why it matters
- 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.
- Watch out
- 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.
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