Operational teams live or die by their ability to separate noise from real I/O problems. zpool iostat is the single most useful native metric set for ZFS pools — throughput, ops/sec, and latency by pool and vdev — but it’s routinely used as a one-off troubleshooting command rather than a sustained source of truth. The result: short-term fixes, misdiagnosed hot-spots, unnecessary full-array replacements, and rushed refresh cycles that drive capital spend higher while margins shrink.

Traditional storage monitoring and vendor dashboards emphasize capacity and surface-level health checks, not sustained I/O behavior or device wear patterns. That creates blind spots: rebuild storms, write-amplification on SSDs, or misbalanced vdevs show up as transient issues and are misinterpreted. The practical answer is to treat zpool iostat as operational telemetry — ingest it, retain it, normalize it, and fold it into lifecycle and risk workflows. Platforms such as STORViX do this without adding hype: they pull ZFS telemetry, provide long-term trends, flag risky trajectories, and enable targeted, lower-cost interventions that reduce downtime and extend useful life.