TechValidate Research on Scale Computing HC3


HC3 Case Study

Malach Metal Machining

Introduction

This case study of Malach Metal Machining is based on an April 2020 survey of HC3 customers by TechValidate, a 3rd-party research service.

“I am able to devote more time to other aspects of IT for our company, like application development and support.

As well, I manage three (3) sites and having a system that you could virtually leave unattended and not worry makes for more efficiency and effectiveness in terms of support."

Challenges

  • Solved the following operational challenges after deploying HC3:
    • Enabled virtualization without complexity
    • Reduced time spent managing Infrastructure
    • Improved availability of critical workloads
    • Improved scalability of Infrastructure
    • Improved disaster recovery
    • Solved single vendor support of Infrastructure
    • Reduced IT operating costs
  • Purchased their HC3 system for the following reasons:
    • To execute an infrastructure refresh (replacing aging hardware)
    • To reduce operational costs
  • Purchased HC3 over the following vendors:
    • Hypervisor – VMware
    • HP Servers / SAN

Use Case

  • Has 1 IT personnel responsible for infrastructure.
  • Runs Less than 10 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: very differentiated
    • Ease of use: very differentiated
  • Sees the following as the biggest benefits of Scale Computing HC3:
    • Ease of use
    • High availability of Virtual Machines
    • Reliability
    • Single vendor support
  • 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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