Containerization and Kubernetes solved app delivery friction — not the economics and operational realities of stateful data. Mid-market IT teams and MSPs I work with are under pressure from rising infrastructure costs, forced hardware refresh cycles, compliance demands, and shrinking margins. When you start moving databases, file services and other stateful workloads into Kubernetes, you don’t just get faster deployments: you inherit persistent volumes, snapshot/backup requirements, data gravity and opaque storage costs that often explode budgets and ops effort.

Traditional storage approaches — SAN/NAS carved up by ticket-driven provisioning or bolt-on cloud backups — break down in a container-first world. They’re designed for fixed LUNs and manual lifecycle management, not API-driven ephemeral workloads and policy automation. The pragmatic move I’ve seen that actually controls costs and risk is to treat storage as an intelligent data platform: a Kubernetes-aware storage control plane (like STORViX) that integrates via CSI, enforces policy-driven lifecycles, centralizes compliance controls, and gives predictable economics — so you stop paying for admin time and wasted capacity.