opnet
IT Sentinel
Optimize Server Consolidation with
End-to-end Modeling

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"IT Guru Systems Planner has provided a cost-effective solution for analyzing the growth potential of our existing infrastructure. We have also found that it has a short learning curve and is highly flexible, permitting a wide range of capacity analyses."

AVP Predictive Modeling Team
CIGNA Corporation

Virtualization Planning

Enterprises are under constant pressure to ensure that their systems meet the performance and response time requirements of the end user. They must support changing business volumes, changing usage patterns, system consolidation, server virtualization, as well as new applications. They need to meet service level objectives without over-provisioning or under-provisioning their systems.

IT Guru® Systems Planner enables server capacity planning by analyzing systems configurations and workloads, and predicting the impact of new application deployments, changes in workload profiles, and performance tuning. Leveraging IT Guru Systems Planner's integration with leading third-party server performance monitoring tools, organizations can accurately plan server capacity to support growth, server consolidation and virtualization, and application deployment.

Key Features

  • Plan server virtualization by predicting the initial and future host capacity required to meet the performance SLOs of virtual guests
  • Select from pre-defined vendor-specific server models that embed performance ratings from Standard Performance Evaluation Corporation (SPEC), or model a customized server configuration.
  • Leverage the measured performance statistics from leading third-party server monitoring solutions.
  • Apply advanced filtering algorithms to automatically and accurately characterize application workloads.
  • Predict the performance impact of application architecture changes during the development lifecycle with the integrated Whiteboard.
  • Integrate with OPNET’s ACE™ Analyst and IT Guru® Network Planner for end-to-end capacity planning and performance management.
imageInvestigate and analyze the profiles and characteristics of operational workloads.
 image When virtualizing servers, predict the initial and future host capacity required to meet the performance SLOs of virtual guests.