Production scaling patterns for multi-agent AI systems. Covers AWS Step Functions orchestration, Lambda auto-scaling, Bedrock provisioned throughput, cost optimization strategies, and operational runbooks.
Scaling from 10 sessions/week to 200 concurrent. The enrichment bottleneck (30,000 API calls), session recovery for dropped WebRTC connections, provider failover, and the operational metrics that keep it all visible.
From 10 concurrent interviews to 10,000. LiveKit SFU mesh, stateless agent workers, Kubernetes auto-scaling, regional deployment, and the infrastructure patterns that handle hiring season surges.
Your demo works. Now make it production-ready for 1,000 concurrent interviews. Full guide to deployment options, WebSocket scaling, Azure pricing breakdown, cost estimations, and monitoring for Azure Voice Live.
Take Kids Learn production-ready: multi-region Active-Passive with Aurora Global Database, Route 53 health-checked failover, auto-scaling strategies, load testing with Artillery, chaos engineering, runbooks, and a comprehensive launch checklist.
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