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GitOps for ML in 2026: Treat Your AI Models Like Microservices (Or Watch Them Drift Into Production Chaos)
2026년 ML을 위한 GitOps: AI 모델을 마이크로서비스처럼 관리하라, 그렇지 않으면 프로덕션은 혼돈에 빠진다
Why it matters
The article argues that ML model deployments suffer from manual, undocumented processes—SSH-based updates, shell scripts, and tribal knowledge—leading to drift and inability to rollback. It advocates applying GitOps principles already used for application code to ML models, providing version history, promotion gates, and auditability instead of ad-hoc scripting that lacks state awareness and drift detection.
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