Release: Hyper9 Virtual Environment Optimization 3.0

Hyper9 has released version 3.0 of its Virtual Environment Optimization (VEO) solution, this version is the follow-up of Hyper9 VEO version 2.5 which was released in April this year. The product is provided as a Windows installation or a Virtual Appliance which runs on VMware.

VEO is a search engine that integrates with vCenter and indexes the information stored inside the VMware Infrastructure inventory. Once the index is build, Hyper9 allows to find any detail about your virtual infrastructure (VMs, virtual networks, data stores, applications inside the Guest OSes, etc.) through a search engine interface. VEO is also capable to provide performance tracking, capacity planning, configuration management and chargeback automation.

Version 3.0 provides the following new options:

  • Capacity Planning enhancements
  • Flex-based user interface with support for parallel tasks
  • Scheduled reporting
  • Improved customizable query builder
  • Deliverable as a Linux Virtual Appliance in addition to a Windows installation


For Capacity planning Hyper9 takes the following 3 phase approach:

  • Phase 1 – Capacity Operations: new Capacity Operations Dashboard provides real-time views of resource consumption across CPU, memory and storage.
  • Phase 2 – Capacity Optimization: new advanced analytics extend industry–leading, search-driven capacity management intelligence.
    • N-1 redundancy analytics help users identify the impact of capacity shortfalls if a cluster loses a server or if a server is taken down for maintenance.
    • Resource ceiling analytics to allow planners to analyze capacity at variable CPU, memory or storage resource buffer limits.
    • Analytics transparency enables full data traceability for verification and validation of results and recommendations.
    • Advanced storage analytics support critical virtual storage features including thin provisioning and linked clones.
  • Phase 3 – Capacity Planning: provides new support for resource purchase and public cloud deployment analysis.
    • Capacity purchase recommendations: How much more (CPU, memory, storage) do I need to buy?
    • Cloud capacity planning: How much it would cost to run our VMs on public cloud providers (e.g., Amazon EC2)?