Data Protection in the Age of Always-on Workloads

It’s Time to Part with Old-school Data Protection Approaches Legacy data protection was state-of-the-art when data was isolated and siloed, and storage capacity was expensive. Built to capture and reduce a copy of data, these systems deal with disruption reactively. They provide nothing more than expensive insurance policies. This is out of step with the requirements of today’s distributed data models, which typically consist of multi-instance, multi-premises, multi-cloud footprints. What’s more, legacy systems weren’t built to meet today’s prevailing high-availability demands. Software, digital products, and services underpin nearly every modern customer experience. Downtime equals lost sales, lost insights, and damaged reputations.


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