Key takeaways for IT leaders
Kubernetes has become the default deployment target for many mid-market apps, and with it comes a flood of YAML files that claim to define infrastructure-as-code. The operational reality is messier: storage-related YAML (StorageClasses, PVCs, snapshot CronJobs, retention rules) proliferate across clusters and repos, creating configuration drift, hidden capacity growth, and manual processes that drive up both capital and operational costs.
Traditional storage models — static LUNs, ad hoc scripts, and vendor-specific storageclasses — were not built for ephemeral, policy-driven container workloads. They force IT teams and MSPs into reactive refresh cycles, brittle compliance processes, and expensive overprovisioning. The practical alternative is an intelligent data platform like STORViX that integrates with Kubernetes control planes to enforce lifecycle, cost and compliance policies centrally. That shift moves storage out of the “throw YAML at it” category and into a managed, auditable, and cost-aware service that keeps refreshes, risk, and margin erosion under control.
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