Predictive analytics tools monitor, report, and troubleshoot in order to make proactive decisions about the health, performance, and utilization of storage. Most enterprises combine cloud and on-premise storage, resulting in blended environments of physical, virtual, cloud, and other platforms, which justifies more sophisticated storage analytics.
In his session at 18th Cloud Expo, Peter McCallum, Vice President of Datacenter Solutions at FalconStor, discussed using predictive analytics to monitor and adjust functions like performance, capacity, caching, security, optimization, uptime and service levels; identify trends or patterns to forecast future requirements; detect problems before they result in failures or downtime; and convert insight into actions like changing policies, storage tiers, or DR strategies.