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3D Canary Deployment Simulator

A 3D MLOps canary-deployment simulator: production requests flow between a stable and a canary model server, traffic split is ramped automatically as the canary proves itself, and an error spike triggers an instant rollback.

Machine Learning & Neural Networks3DEasy60 FPS📱 Mobile-adapted⇄ 2D version

Shipping a new model version straight to 100% of production traffic is how MLOps pipelines cause outages. This simulator renders a canary rollout in 3D: a stream of request particles leaves a load balancer and is routed toward one of two live model servers — the proven stable version and the newly deployed canary — according to a live traffic split. Each server keeps its own running error-rate monitor, rendered as a rising bar. Watch the split ramp up automatically while the canary stays healthy, and watch an automatic rollback yank traffic back to zero the moment its error rate spikes past the stable baseline.

⚙ Under the hood

Simulate canary deployments where live traffic is split between stable and canary server racks, with automatic rollback triggered by an error-rate spike.

MLOpsData DriftCanary Deployments

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install