TechValidate Research on Scale Computing HC3


HC3 Case Study

Non Profit

Introduction

This case study of a non-profit is based on an October 2020 survey of HC3 customers by TechValidate, a 3rd-party research service. The profiled organization asked to have their name blinded to protect their confidentiality.

“I check on it once in a while, truly a set and forget solution”

Challenges

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

Solved the following operational challenges after deploying HC3:

  • Reduced time spent managing Infrastructure
  • Solved single vendor support of Infrastructure
  • Greatly simplified or VM environment

Purchased their HC3 system for the following reasons:

  • To execute an infrastructure refresh (replacing aging hardware)
  • For Hypervisor Licensing Renewal
  • To reduce operational costs

Purchased HC3 over the following vendors:

  • Dell Servers / SAN
  • xenserver

Use Case

  • Has 1 IT personnel responsible for infrastructure.
  • Runs 10-24 Virtual Machines on HC3.

Results

The surveyed organization 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
  • Single vendor support

Decreased the time spent recovering from a hardware failure running a critical workload not at all with the high availability built into HC3.

Reduced the time their IT staff spends managing infrastructure by > 75% 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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