TechValidate Research on Scale Computing HC3


Case Study: Small Business Professional Services Company

Introduction

This case study of a small business professional services company is based on a September 2014 survey of HC3 customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“HC3 simplified and reduced the time spent managing storage and hypervisor.”

Challenges

  • Solved the following operational challenges by deploying HC3:
    • Enabled virtualization without complexity
    • Improved availability of critical workloads
    • Solved single vendor support of Infrastructure
  • Purchased their HC3 system for the following reasons:
    • For Infrastructure Refresh (replacing aging hardware)

Use Case

  • Purchased HC3 over the following vendors:
    • Hypervisor – Microsoft Hyper-V
    • Dell Servers / SAN
    • Citrix XenServer
  • Runs 10-24 Virtual Machines on HC3.
  • 50-74% of their environment is virtualized.

Results

  • Rated the following HC3 capabilities in terms of how differentiated they from the competition:
    • Ease of use: extremely differentiated
    • Ease of implementation: extremely differentiated
    • Reliability: very differentiated
    • Scalability: very differentiated
    • Single vendor support: extremely differentiated
  • Sees the following as the biggest benefits of Scale Computing HC3:
    • Ease of use
    • Ease and speed of implementation
    • High availability of Virtual Machines
    • Single vendor support
  • Decreased the time spent recovering from a hardware failure running a critical workload from 8-24 hours to less than 10 minutes (97-99% reduction in recovery time) with the high availability built into HC3.
  • Reduced the time their IT staff spends managing infrastructure by 25-49% after deploying HC3.




About This Data

This data was sourced directly from verified users of Scale Computing HC3 by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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