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| Product | Market Share (%) |
|---|---|
| IBM Turbonomic | 4.0% |
| CloudPhysics | 0.7% |
| Other | 95.3% |

| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
CloudPhysics continually analyzes your vSphere environment, tracking changes, projecting trends, and proactively surfacing the hot spots you need to pay attention to now – before they cause problems. We deliver unique, meaningful insights that give vSphere administrators the confidence to act boldly to reduce risk and trim waste, without compromising the safety of your virtual infrastructure or the applications it supports.
CloudPhysics is an intuitive, easy-to-use SaaS application. It is rooted in a unique operational analytics platform that drives out risk and cost in your infrastructure, especially in problems related to configuration changes.
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.
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