Scale Computing Delivers Zero Downtime and High-performance Edge Computing IT Infrastructure to Risas Dental and Braces
With 25 national dental and orthodontic store locations at the edge of the network, downtime had to be non-existent in order to allow Risas Dental and Braces’ IT team of six to focus on more strategic business activities
Previous legacy virtualization infrastructure did not meet Risas Dental and Braces’ support and backup requirements as it was costly, inconsistent and difficult to manage
Top Business Benefits Provided By Scale Computing
Experienced an estimated 15-20% reduction on the time spent managing distributed enterprise IT infrastructure
Reported zero downtime for its multiple nationwide office locations
“With Scale Computing, our organization’s overall performance has increased with zero downtime, which has enabled our IT team to focus on more strategic business activities,” - Chris Lawrence, chief information officer and chief information security officer, Risas Dental and Braces.
Risas Dental and Braces - History and IT Challenges
Founded eight years ago in a medically underserved community, Risas Dental provides patients with high-quality and affordable services. Risas Dental has retained a strong focus on placing the patient first within its 25 national locations in the United States.
Before choosing Scale Computing, Risas Dental and Braces was using a legacy virtualization system for its distributed enterprise IT infrastructure, which was found to be costly, inconsistent and difficult to manage. With multiple office locations, Risas Dental and Braces was in need of a storage solution that met its budget needs, while being highly available and managed remotely with ease for its locations at the edge of the network.
More specifically, on the priority list was an IT infrastructure that is high-performing, self-healing, simple to manage and able to scale for future demands.
Scale Computing HC3 – Introduction, Selection and Implementation
Risas Dental and Braces’s choice to change IT infrastructure was accompanied by months of extensive research of numerous potential vendors, in addition to an attempt to build its own hyperconverged solution through open source.
“After the pain of even trying to build our own hyperconverged solution through open source, we were relieved and impressed by the simplicity, autonomy and high-performance of Scale Computing HC3,” recalled Lawrence.
Risas Dental and Braces turned to Scale Computing for enterprise-class features that could be deployed quickly, be managed locally and remotely, and provide self-healing technology. With a small IT staff of six to manage its 25 locations, Risas Dental and Braces needed a distributed enterprise IT infrastructure solution to meet the growing workload demands of its department, while still being simple to manage.
Lawrence highlighted that the implementation and deployment of Scale Computing HC3 was, “very positive and seamless.” Risas Dental and Braces’s IT staff began the deployment process late in the morning, and before lunch, it was up and running, allowing for a high-speed, simple migration.
Scale Computing HC3 Benefits – Heavy Impact and Broad Range
Scale Computing HC3 delivers virtualization, edge computing, servers, storage and backup/disaster recovery that has been brought into a single, easy-to-use platform. Risas Dental and Braces turned to Scale Computing HC3 for enterprise-class features that could be deployed quickly, managed locally and remotely, and provide self-healing technology.
Currently running on 50 virtual machines, Risas Dental now has an all-in-one simple, reliable and affordable edge computing solution that has enabled a decrease in time spent managing IT infrastructure. After implementing Scale Computing HC3, Risas Dental and Braces has saved 15-20% of its time spent managing the IT infrastructure and experienced zero downtime.
As part of its backup strategy, Risas Dental and Braces turned to Scale Computing Data Protection Suite, relying on HC3 to provide the solution for failover between its multi-location model.
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