Nearly all companies are experiencing an explosion in the demand for storage, driven particularly by space hungry applications like CAD, multimedia, computer graphics, document imaging, email and, last but not least, user-controlled directories. Meeting the demand for increased storage is only one aspect of this problem. Managing the data intelligently, growing the storage infrastructure cost-effectively and providing users with immediate access to all of their files are the real challenges.
Managed Server HSM provides a simple, cost-effective solution for managing the complexities of data storage management. Combine Managed Server HSM with your production servers and a host of off-the-shelf storage devices: NAS appliances, general purpose servers, specialized archive storage devices, etc. The result is a finely tuned data storage resource that enables virtually infinite storage growth, increased data availability, with a minimal amount of effort and expense. As storage requirements increase, additional storage devices can be simply added to the pool.
Managed Server HSM enables the administrator to configure usage of the “virtual” Central Storage Pool behind the scenes of the users. Users continue to read and write files to the same servers, volumes and folders as they always have. In the background, Managed Server HSM, based on policies set by its administrators, monitors volume watermarks and dynamically compares against real-time storage utilization to make decisions about archiving files that are infrequently accessed. Archived file candidates are transparently relocated to the Central Storage Pool (usually in off-peak hours).
Server HSM Key Features
CaminoSoft Storage Analyzer Tool
Download CaminoSoft’s FREE Storage Analyzer Tool! When installed on a Windows workstation, this software product will analyze file usage on specified, supported source volumes. The Storage Analyzer documents file access frequency and provides a graphical tool for showing current storage use, predicting future storage consumption, and optimizing storage resource allocation.