Analytics-Driven Storage Management

Traditional storage management was about predicting needs, then implementing, optimizing and administering hardware to meet performance, service level and data protection requirements. As part of this, the mantra was often to err on the side of stability, and only change things when absolutely necessary.

The world of storage has moved on, however, becoming far more dynamic and data-rich. In response, storage vendors have added new capabilities and automations, but all too often they have simply expanded the old ways of doing things. If any of the following challenges seem familiar, you’ll know that the old ways are no longer adequate.

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