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As a component of the IBM TotalStorage Productivity Center, TotalStorage Productivity Center for Disk is designed to help reduce the complexity of managing SAN storage devices by allowing administrators to configure, manage and performance monitor storage from a single console.
Productivity Center for Disk is designed to:
- Configure multiple storage devices from a single console
- Monitor and track the performance of SAN attached Storage Management Interface Specification (SMI-S) compliant storage devices
- Enable proactive performance management by setting performance thresholds based on performance metrics and the generation of alerts
Committed to open standards, this solution is architected to SNIA's (Storage Networking Industry Association) SMI-S and supports compliant SAN components such as:
For a list of non-IBM SMI-S Compliant devices TPC supports, please visit
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Details about integration and interoperability, including device support, database support, server hardware requirements, and O/S platform support can be found on the "Install/use" tab in Product support. Other technical resources such as troubleshooting, downloads, and planning information can also be found in the Product support section.
The IBM TotalStorage Productivity Center for Disk includes many advanced features to helps simplify and streamline your device management. |
- A single, integrated administrative console designed to simplify the management of multiple storage devices by allowing you to perform administrative tasks, such as aggregation, grouping of devices, and policy based actions.
- Performance Management capabilities designed to help you optimize and intelligently tune your SAN devices by offering performance monitoring and alerts.
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- Volume Performance Advisor is designed to optimize storage allocations by analyzing workload profiles and providing advice on the best location to choose or create volumes in an IBM TotalStorage Enterprise Storage Server.
- Reporting capability is designed to allow administrators to roll-up metrics, such as I/O rates and cache utilization, to help optimize storage utilization by identifying the best available LUNs.
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