adaptive traffic routing

Explains how AI-driven models continuously tune load balancers using real-time telemetry to cut tail latency, boost throughput, and control cost. Covers traffic prediction, adaptive routing, autoscaling, anomaly detection, and canary/blue-green rollout. Outlines feedback loops, SLO-aware policies, drift monitoring, and guardrails, plus practical steps for data, features, testing, and observability.