TechValidate Research on Scale Computing HC3


HC3 Case Study

North Valley Hospital

Introduction

This case study of North Valley Hospital is based on a July 2019 survey of HC3 customers by TechValidate, a 3rd-party research service.

“HC3 reduced complexity and increased availability. "

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
  • Improved availability of critical workloads
  • Improved disaster recovery
  • Solved single vendor support of Infrastructure

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
  • HP Servers / SAN
  • VMware VSAN

Use Case

  • Has 2 IT personnel responsible for infrastructure.
  • Runs 25-49 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: very differentiated
  • Ease of implementation: very differentiated
  • Ease of use: extremely differentiated

Sees the following as the biggest benefits of Scale Computing HC3:

  • Ease of use
  • High availability of Virtual Machines
  • Reliability
  • 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 50-74% 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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