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| Product | Market Share (%) |
|---|---|
| IBM Turbonomic | 12.6% |
| Xangati | 1.3% |
| Other | 86.1% |

| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.
IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.
What are the key features of IBM Turbonomic?IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.
Xangati provides an IT Operations Analytics and performance control platform that delivers Application/Workload Service Assurance for SLA attainment at optimal capacity utilization in virtualized / private / hybrid-cloud IT environments.
Xangati comprises a service assurance analytics framework that enables you to see, resolve and prevent live storm contention issues across silos, leveraging predictive data intelligence that pinpoints with finely-grained precision root causes of current and future performance degradation while helping to optimize virtual applications, infrastructure asset efficiency and end-user quality of experience.
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