It was 2:14 in the morning when the pager went off. Our recommendation model's inference service had started returning 503s under a traffic spike that, frankly, wasn't even that big. Maybe three times the normal load. By the time I'd opened my laptop, the container had been OOM-killed four times in ten minutes, and Kubernetes was cheerfully restarting it into the same wall every ninety seconds. The image was 14GB. Cold start took eighty seconds. Nobody on the team had looked closely at any of that until it started costing us actual money in lost requests.That night is the reason I now have strong opinions about Docker and AI infrastructure.