Why Kubernetes? Deploying at Scale

Day 81 of 100 Days of MLOps, and Module 9 begins. Your model service runs great in one container on your laptop — and that's exactly why it isn't production-ready. One container is a single point of failure: when the process dies, every user gets an error, with no failover. You'll watch a lone service crash and take the whole thing down, then see why production needs orchestration — many replicas across many machines, self-healing, scaling, and zero-downtime updates. It's the case for Kubernetes. Runs 100% locally on any OS.