What breaks as AI infrastructure scales, and the reference architecture that holds up.

Failure modes that surface first at scale

• Controller pressure, CI-bound promotion, desynced changes, credential sprawl, fragmented incidents.

A reference architecture for the post-build workflow

• Deploy with Argo CD, promote with Kargo, operate with full incident context.

Three patterns that hold up at scale, with the YAML

• ApplicationSets, Kargo Stages with verification, in-cluster reconciliation.

How AI teams run this in production, with the numbers

• CoreWeave, PolyAI, Cisco ThousandEyes, Aleph Alpha

Built by the original creators of Argo CD and Kargo. Trusted to run 1M+ applications across AI clouds, frontier labs, and inference platforms.