TechValidate Research on Scale Computing HC3


HC3 Case Study

Carepro Health

Introduction

This case study of Carepro Health is based on an October 2018 survey of HC3 customers by TechValidate, a 3rd-party research service.

Challenges

  • Solved the following operational challenges after deploying HC3:
    • Reduced time spent managing Infrastructure
    • Improved availability of critical workloads
    • Improved scalability of Infrastructure
    • Solved single vendor support of Infrastructure
    • Reduced IT operating costs
  • Purchased their HC3 system for the following reasons:
    • For Infrastructure Refresh (replacing aging hardware)
    • To support business growth expectations or new business initiatives
    • To reduce operational costs

Use Case

  • Purchased HC3 over the following vendors:
    • Dell Servers / SAN
    • EMC
    • Nutanix
    • Simplivity
    • VxRail
  • Has 2 IT personnel responsible for infrastructure.
  • Runs 10-24 Virtual Machines on HC3.

Results

  • Rated the following HC3 capabilities in terms of how they differentiated from the competition:
    • Single vendor support: Extremely differentiated
    • Scalability: Very differentiated
    • Reliability: Very 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
    • High availability of Virtual Machines
    • Reliability
    • Scalability
    • 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 10-24% 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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