Operational teams running Kubernetes know the drill: dozens of YAML files define apps, but storage for those apps is still handled like it was 2015—manual array provisioning, spreadsheets for capacity, and ad-hoc backup rules. That disconnect creates runaway costs (you pay for provisioned not used), brittle compliance (snapshots and replication applied unevenly), and forced hardware refreshes because utilization isn’t being managed. For mid-market enterprises and MSPs squeezing margins, that gap between declarative app ops and legacy storage is where budget and risk leak out.

Traditional storage architectures—siloed block arrays, per-application LUNs, and manual LUN reclamation—fail in a Kubernetes world because they don’t speak the same language as GitOps, they can’t enforce policy at the YAML level, and they scale poorly when tenants multiply. The practical shift is towards intelligent data platforms that integrate with Kubernetes as a first-class citizen: a single CSI driver, declarative policy hooks in YAML, automated lifecycle actions (snapshots, retention, tiering), and built-in telemetry for cost and compliance. STORViX is an example of that approach: not a band-aid on old arrays, but a platform that lets you translate storage policy into YAML, automate enforcement, and regain control of cost, lifecycle, and risk.