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MonoSphere

Quest Buys MonoSphere

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Quest Software has acquired the technology assets of MonoSphere, a privately owned company headquartered in Redwood City, CA. MonoSphere is the creator of Storage Horizon storage capacity management software.

Quest has also hired a substantial number of the former MonoSphere employees.

  • Quest will continue to maintain, enhance, and support the Storage Horizon solution, enabling customers to dramatically increase utilization of storage infrastructure, resulting in significant reductions in storage capital spending.
  • Quest will also integrate Storage Horizon with a number of its existing products, expanding Quest’s leadership in providing complete solutions that help organizations get more performance and productivity from their applications, databases, Windows infrastructure and virtual environments.

MonoSphere Introduces Storage Horizon 3.7, Adds Enhanced VMware Support

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MonoSphere, a provider of storage capacity management software, yesterday announced Storage Horizon 3.7 boasting a range of new analytical capabilities which should greatly reduce the complexity and time required to manage today’s heterogeneous storage environments. Storage Horizon 3.7 includes enhanced support for VMware environments, a new automated chargeback capability, advanced analytics, advanced analysis of storage consumed by databases, and adds support for EMC Celerra and IBM DS and ESS arrays.

MonoSphere

Storage Horizon 3.7 offers enhanced support for VMware server virtualization, helping storage teams understand to what extent and how rapidly applications running on guest operating systems are consuming storage at the array level. The new version visualizes storage abstractions and analyzes how VMware hosts are using storage, allowing IT departments to view storage usage details and the relationships between array LUNs, ESX servers, VMware file systems (VMFS), VMware virtual disks (VMDK), guest operating systems (OS), and guest OS file systems/raw devices, determining when additional storage is optimally required.