“Surface burst” or “vertical slice”: which approach should you choose when building an MLOps platform?

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This article compares two ways to build an MLOps platform: a broad platform-first approach and a vertical-slice approach. It breaks the platform into waves, starting with core infrastructure like GitOps, Kubernetes, observability, and secrets management, then adding identity, data services, and ML tooling. It also explains how to use Definition of Done, SLOs, and runbooks to make the platform production-ready. The piece is aimed at teams deciding how to structure MLOps delivery and how to sequence platform investments over time.

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