GitOps for ML in 2026: Treat Your AI Models Like Microservices (Or Watch Them Drift Into Production Chaos)
A production-grade blueprint for applying GitOps to ML model deployments using ArgoCD, KServe, and MLflow. Covers versioning, promotion gates, drift detection, and zero-downtime rollbacks onKubernetes.
Jul 1, 202612 min read