What decision-makers should know
Kubernetes is the default deployment model for new applications, but many mid-market enterprises and MSPs are discovering that running stateful workloads on Kubernetes exposes the weak points in traditional storage strategies. The operational problem is straightforward: teams must support persistent volumes with predictable performance, compliant retention, fast restores, and predictable costs — all while facing forced storage refreshes, tighter budgets, and regulatory scrutiny.
Traditional SAN/NAS, ad-hoc direct-attached storage, or lifting workloads into public cloud block storage were not designed for Kubernetes lifecycle patterns. They create silos, add manual steps for snapshots and replication, and hide long-term costs (egress, replication overhead, wasted capacity). The practical answer is a strategic shift to an intelligent data platform like STORViX that integrates with Kubernetes via CSI, automates policy-driven volume lifecycle, and gives teams clear controls for cost, risk, and compliance. That doesn’t remove operational work, but it brings storage into the same declarative, auditable model that your clusters run on — and it makes costs and risks measurable and manageable.
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