Netuitive Expands Capacity Management Capabilities

Analytics platform unifies performance, capacity management for virtualization

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Netuitive, Inc. announced new capacity management capabilities as an integral part of its self-learning analytics platform for virtualization and cloud management. Because capacity management is intrinsically related to performance, Netuitive is delivering new capacity management capabilities that optimize IT utilization resulting in both improved performance and cost savings.

Netuitive's dynamic capacity management capabilities draw upon Netuitive's Performance Management Database (PMDB) as a single source of real-time performance data. The PMDB leverages data already being collected by leading monitoring tools (e.g. BMC, CA, IBM, HP, Microsoft, Oracle, NetApp, Compuware, VMware, and others) to deliver a rich source of IT performance information available anywhere for capacity management.

Through a variety of simple one-click capacity reports, Netuitive enables enterprises to analyze resource utilization from hundreds of different angles, such as identifying the most under/over-utilized servers, identifying factors driving the workload for a group of servers, or analyzing resource usage by application, region, owner, business unit, or service.

The new capabilities also complement enterprise capacity planning solutions already in place since users can also export PMDB data to third-party enterprise reporting and analysis tools.

Netuitive's capacity management reporting tools include:

  • Enterprise Workload Reports: Historical workload for cluster services, etc.

  • Virtual Cluster Resource Forecasting: Presents historical performance information along with future trends to give visibility in future demand

  • VM Utilization: A detailed view of VM resource allocation

  • VM Cluster Summary: A view of VM clusters and their hosts including capacity information

  • Priority Reports: Customizable, flexible reports used to address numerous ad hoc questions such as "Top 25 busiest servers," "50 VM hosts with the most alarms," or “Worst 50 VM clusters based on downtime"

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