TechValidate Research on Scale Computing HC3


Case Study: Team Logic It Of Las Colinas

Introduction

This case study of TeamLogic IT of Las Colinas is based on a February 2016 survey of HC3 customers by TechValidate, a 3rd-party research service.

“HC3 allows technical staff to get up to speed quickly on the items that are most important to us without having to spend weeks on becoming an expert with the solution.”

Challenges

  • Realized the following operational challenges by deploying HC3:
    • Reduced time spent managing Infrastructure
    • Improved availability of critical workloads
    • Improved scalability of Infrastructure
  • Purchased their HC3 system for the following reasons:
    • To support higher uptime SLAs for critical workloads
    • To support business growth expectations or new business initiatives
    • To meet increasing RPO and RTO SLAs

Use Case

  • Purchased HC3 over the following vendors:
    • Hypervisor – Microsoft Hyper-V
    • Nutanix
    • Simplivity
  • Has 2 IT personnel responsible for infrastructure.
  • Runs 10-24 Virtual Machines on HC3.

Results

  • Rated the following HC3 capabilities in terms of how differentiated they from the competition:
    • Ease of use: very differentiated
    • Ease of implementation: differentiated
    • Reliability: differentiated
    • Scalability: not differentiated
    • Single vendor support: differentiated
  • Sees the following as the biggest benefits of Scale Computing HC3:
    • Ease of use
    • High availability of Virtual Machines
    • Scalability
  • Decreased the time spent recovering from a hardware failure running a critical workload from 1-8 hours to less than 10 minutes (83-97% 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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