Sentilla Corporation has announced the availability of Sentilla Version 5, its software platform for next-generation Data Center Performance Management (DCPM).
Sentilla delivers global visibility, analysis and control of all data center assets: physical, virtual and private/public cloud.
Using Sentilla’s unique model-driven “what-if” analytics and intelligent capacity planning, IT professionals can accurately monitor and measure data center resources to ensure up time, optimize performance, manage asset utilization, reduce power consumption, and defer capital costs.
“Sentilla v5 represents a quantum leap forward in data center optimization technology by creating a unified view of all data center assets and their capacity rather than using multiple management consoles split between the IT and Facilities groups,” said Mike Kaul, CEO of Sentilla Corp. “Sentilla uses a Manager of Managers (MoM) approach that enables sophisticated and continuous data center capacity planning to illuminate available IT resources, asset utilization, consumption, and load limits along with cost containment recommendations — and across multiple data centers and colocation facilities.”
He added, “The crown jewel of Sentilla v5 is our model-driven “what-if” planning that analyzes multiple application deployment strategies — dedicated, physical/virtual, private/public cloud — and assesses their impact across multiple variables before implementation, thereby optimizing costs and ensuring performance. The bottom line is that by using Sentilla v5, IT can provide more and higher-quality data center services at a faster rate, by better use of the existing infrastructure.”
Using Sentilla v5, data center IT professionals can reap significant benefits such as: comprehensive, granular asset visibility; continuous performance analysis with resource capacity intelligence; and what-if planning for capacity management in physical and virtualized environments.
The new Sentilla DCPM platform v5 offers:
• Optimal scenario planning for predicting and comparing resource impacts of projects
• Model driven “what-if” analysis for determining optimal application deployment (dedicated, virtual, private/hybrid cloud or public cloud), location, as well as technology and hardware
• New predictive analytics metric libraries for resource utilization, consumption, peak demand, seasonality, capacity and costs
• New and improved user interface (UI) designed for rapid installation and ease-of-use
• New web- and mobile device-based analysis and planning dashboards for performance, location and power consumption
• Enhanced support for storage devices
• New asset connector SDK for 3rd party integration and additional asset support
• Distributed data center support
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