Organisations wanting a handle on over-capacity disk storage issues might have a solution with Storage Capacity, a SentryOne 18.5 feature able to provide storage use forecasts through predictive analytics.
Storage Forecasting uses machine learning algorithms to produce daily usage forecasts for all storage volumes across servers, enabling data professionals to proactively manage compute resources. Such capability positions SentryOne as a contributor to AIOps management, particularly for use cases involving capacity planning, resource utilisation and storage management.
“Using machine learning to forecast storage capacity was an obvious opportunity to help solve a common problem for organizations with expanding data estates,” SentryOne says. “Storage Forecasting was a clear starting point when we considered how to apply our expertise in predictive analytics to solving some of the most challenging data performance management problems.”
Storage Forecasting is not the only new capability in SentryOne 18.5-- also included are capabilities for managing memory limits and using queries to trigger responses to specific conditions in SQL Server Analysis Services (SSAS).
