We rely on shadow deployments to de-risk launches; does anyone know the earliest paper or blog that used the term “shadow mode” for mirroring read-only traffic to a model? I just wrapped a 48-hour shadow run on our ticket classifier using NGINX traffic mirroring and got curious where this practice first entered the ML ops playbook.