Teams under cost and compliance pressure are often tempted to “just use Docker” when standing up Kubernetes clusters — because it’s fast, familiar, and feels cheap. That decision hides steady operational costs and risk: Docker-based runtimes (and developer-focused Docker Desktop clusters) are fine for local dev, but they don’t scale to production stateful workloads, they introduce unsupported runtime choices in modern Kubernetes, and they decouple storage lifecycle from the application lifecycle.

Traditional storage models (SAN/NAS mapped into containers, or ad‑hoc hostPath volumes) fail because they assume manual provisioning, appliance refresh cycles, and a human-in-the-loop snapshot/backup process. That makes compliance, retention, and rapid recovery expensive and error-prone. The practical response isn’t another bolt-on backup tool — it’s shifting to an intelligent, Kubernetes-aware data platform (for example, STORViX) that integrates via CSI, enforces policy-driven lifecycle management, and gives you enterprise controls without adding operational complexity.

In short: use Docker-based Kubernetes tooling for development and testing, but for production — especially stateful services — adopt a container-native storage platform that handles snapshots, replication, retention, and multi-tenant control. That reduces unexpected refresh costs, lowers operational risk, and gives predictable lifecycle and compliance controls MSPs and mid-market IT teams need.