A complete solution for heterogeneous storage management would include the following features:
Increased storage utilization: Storage utilization and capacity management are improved across heterogeneous operating systems and storage hardware. Storage volumes and file systems are dynamically grown and capacity is reclaimed, and storage is dynamically provisioned to new applications without any modifications required by the end user. Daily and repetitive storage tasks are automated and performed online, including RAID reconfiguration, defragmentation, file system resizing, and volume resizing.
Dynamic storage tiering: This allows unimportant or out-of-date files to be moved automatically to less expensive storage devices without changing the way users or applications access those files. Policies are created that will move files based on date created, last time accessed, owner, size, or name. These files are dynamically moved without having to take the application offline.
Centralized storage management: This means that organizations centrally manage their application, server, and storage environments. This will lead to faster application deployment times, higher service levels, reduced risk of human error, and greater visibility throughout the environment. Centralized control over storage administration enables hundreds of systems to be managed from a single console and automates routine tasks to eliminate time-consuming manual processes.
Multi-vendor hardware infrastructure: This provides enterprises with the freedom to choose industry-leading functionality across platforms without getting locked into proprietary solutions.
With today´s IT organizations facing swelling data volumes and increasingly complex data centers, the need for a single tool to manage the storage infrastructure is more imperative than ever. Such a tool must provide these organizations with centralized visibility and control across their multi-platform server, storage, and application environments. Ultimately, it should enable IT organizations to reduce operational costs and capital expenditures across the data center.