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Scaling real-time AI agents with session-aware load balancing- Google Developers Blog
Google Developers · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- 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.
- 为何重要
- 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.
- 注意
- 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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