Platform Scalability and Security

Kubeflow's adoption at enterprise scale exposes critical bottlenecks in controller efficiency, security posture, and operational overhead. This project delivers six required improvements: (1) ConfigMap-driven database garbage collection for KFP pipeline runs, mirroring the existing artifact_retention_time pattern; (2) ScheduledWorkflow controller migration from legacy client-go informers to controller-runtime; (3) zero-trust NetworkPolicy enforcement for training job namespaces; (4) cross-namespace artifact security hardening with integration tests; (5) KFP dead code removal of deprecated manifests; and (6) Pod Security Standards compliance with CI regression gates. Stretch goals include Gateway API migration, Spark webhook readiness probes, and a Metacontroller migration design doc. This work builds on 12 pre-GSoC contributions (5 merged, 7 open) across 5 Kubeflow repositories.