TechValidate Research on Scale Computing HC3


HC3 Case Study

Echo Energy, LLC

Introduction

This case study of Echo Energy, LLC is based on a January 2018 survey of HC3 customers by TechValidate, a 3rd-party research service.

“In the past few months, I have been able to isolate the applications that my company needs off of a single server with iSCSI storage to individual application servers for each department and shared storage including Replication to a DR Location.”

Challenges

  • Realized the following operational challenges by deploying HC3:
    • Enabled virtualization without complexity
    • Reduced time spent managing Infrastructure
    • Improved scalability of Infrastructure
    • Improved disaster recovery
  • Purchased their HC3 system for the following reasons:
    • For Infrastructure Refresh (replacing aging hardware)
    • To support business growth expectations or new business initiatives

Use Case

  • Purchased HC3 over the following vendors:
    • Hypervisor – Microsoft Hyper-V
    • Dell Servers / SAN
    • Nutanix
  • Has 1 IT personnel responsible for infrastructure.
  • Runs 25-49 Virtual Machines on HC3.

Results

  • Rated the following HC3 capabilities in terms of how they differentiated from the competition:
    • single vendor support: 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
  • 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.




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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