Operational problem: For mid-market enterprises and MSPs, Kubernetes has moved from ‘edge project’ to business-critical platform. That brings a lot of YAML—StorageClasses, PersistentVolumes, PVCs, volume snapshots, secrets—and it exposes storage as the weakest link. Teams are juggling manual YAML edits, ad-hoc StorageClass settings, and array-centric backup tools that don’t understand Kubernetes semantics. The result is configuration drift, surprise capacity exhaustion, slow restores for stateful apps, and rising costs as teams overprovision to avoid outages.

Why traditional storage fails and what to do next: Traditional SAN/NAS thinking—LUNs, static tiers, spreadsheet-driven allocation, and snapshot tools that operate outside of the cluster—breaks down against ephemeral containers and declarative GitOps YAML. The practical shift is to an intelligent data platform that integrates with Kubernetes at the API level: a CSI-aware, policy-driven layer that enforces lifecycle, retention, and performance from the same operational model you use for apps. Platforms like STORViX remove manual YAML plumbing by mapping declarative intent to storage policy, regain control of data lifecycles and compliance, and lower both capital and operational cost through automation and unified management.