Operational teams are drowning in YAML. Kubernetes gave us a clean declarative layer for apps, but it also pushed storage decisions into hundreds of manifest files and dozens of storageClasses. That sounds flexible — until you inherit a cluster with inconsistent retention settings, uncontrolled dynamic provisioning, and no way to see who created which PersistentVolumeClaim and why. The result is runaway capacity, surprise performance complaints, and auditors asking for data lineage you can’t produce.

Traditional storage approaches — LUN-centric arrays, manual provisioning workflows, or treating Kubernetes volumes as second-class citizens — break down here. They’re inflexible, require humans in the loop for lifecycle operations, and don’t map cleanly to what YAML and Kubernetes expect: policy-driven, automated, and observable storage. Intelligent data platforms like STORViX shift the control plane: they connect YAML-declared intent to storage policy, enforce compliance, provide end-to-end lifecycle management, and surface real cost and risk metrics so you can make informed decisions instead of chasing tickets.