Kubeflow 26.10 promotes models via pull requests

The author demonstrates a practical platform engineering approach to machine learning operations using Kubeflow 26.10, where model promotion is handled through standard GitOps pull requests rather than manual bucket copies. By combining Kubeflow Pipelines, the Kubeflow Hub model registry, Istio multi-tenancy, and Kubernetes ValidatingAdmissionPolicies, the setup ensures that models are evaluated, versioned immutably, and deployed securely with automated rollbacks via Git. Open article →