Operational teams are drowning in YAML: dozens of kubernetes manifests, multiple Helm charts, hand‑edited configmaps and secrets, and storage requests that still flow through a ticketing system. The real problem isn’t YAML itself — it’s that application configuration, storage lifecycle and compliance rules live in different places. That gap creates configuration drift, orphaned volumes, slow restores and surprise costs when refresh cycles hit.

Traditional SAN/NAS approaches were built for the VM era: slow provisioning, vendor consoles, manual snapshot schedules and LUN-level management. They don’t map cleanly to declarative, ephemeral cloud‑native workflows. The result is operational friction, higher OpEx from manual work, and risk you can’t easily prove to auditors.

The practical shift I’ve been managing is toward intelligent, API‑first data platforms that embrace Kubernetes patterns. Platforms like STORViX present storage as declarative objects (CSI + CRDs/GitOps), enforce lifecycle and retention policies automatically, and give clear audit trails and role separation. That doesn’t solve every problem, but it closes the largest gaps between developers, operators and compliance — and it turns storage from a blocking manual process into an automated, auditable service you can budget and control.