TechValidate Research on Scale Computing HC3


HC3 Case Study

C Kenergy

Introduction

This case study of CKenergy is based on an April 2019 survey of HC3 customers by TechValidate, a 3rd-party research service.

“This has made management and configuration of VM’s vastly more efficient. The web browser KVM is just what we needed. And the speed with which we can create a new VM is part of what brought us to HC3.”

Challenges

The business challenges that led the profiled company to evaluate and ultimately select HC3:

  • Solved the following operational challenges after deploying HC3:
    • Enabled virtualization without complexity
    • Reduced time spent managing Infrastructure
    • Improved availability of critical workloads
    • Improved scalability of Infrastructure
    • Improved disaster recovery
  • Purchased their HC3 system for the following reasons:
    • To execute an infrastructure refresh (replacing aging hardware)
    • For Hypervisor Licensing Renewal
  • Purchased HC3 over the following vendors:
    • Hypervisor – VMware
    • Dell Servers / SAN
    • HP Servers / SAN
    • Nutanix

Use Case

  • Has 3 IT personnel responsible for infrastructure.
  • Runs 10-24 Virtual Machines on HC3.

Results

The surveyed company achieved the following results with HC3:

  • Rated the following HC3 capabilities in terms of how they differentiated from the competition:
    • Single vendor support: extremely differentiated
    • Scalability: extremely differentiated
    • Reliability: extremely differentiated
    • Ease of implementation: extremely differentiated
    • Ease of use: extremely differentiated
  • Sees the following as the biggest benefits of Scale Computing HC3:
    • Ease of use
    • Ease and speed of implementation
    • Scalability
  • 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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