Kubeflow Pipelines ↔ KServe: Zero‑Downtime Model Migration During Cluster Upgrade
Goal To migrate a small Kubeflow application from one cluster to another while keeping model inference traffic continuous, the migration must avoid any interruption during both the Pipelines control‑plane upgrade and the KServe model revision rollout. Constraints and Uncertainty Argo Workflows, the engine behind Kubeflow Pipelines, does not expose a document
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