Consolidation of storage resources is a critical first step. We have spent considerable effort understanding how to make consolidation of on-premise (SAN, NAS, DAS) and cloud service (Amazon S3, OpenStack Swift) storage resources a reality. Once an enterprise’s resources are agnostically consolidated, we looked at how to keep existing storage resources a part of the infrastructure as enterprises transition to newer or replacement storage. This decreases the TCO and increases the ROI for existing resources and provides breathing room for the transformation.
Data migration from one storage node to another storage node, resource provisioning, and data recovery can take a great deal of time. Data center staff spend a great deal of time buried by low value add tasks like those mentioned above, all the while trying to do more with less. By automating many of these low value add tasks, data center staff are able to transform from a reactive organization to a more proactive and strategic organization.
Adaptive systems are able to optimize the utilization of resources in real time to maximize the capabilities of all existing storage resources. Self learning capabilities can also produce predictive analysis of infrastructure resources to keep data center staff well ahead of storage and compute needs.