Model inference Scaling on Kubernetes Using Horizontal Pod Autoscaling and Rolling Updates

Make ML Models running on Kubernetes survive a traffic spike, and ship a new model version without a single failed prediction (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 25)