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SponsorsOne Successfully Installs its Cloud Framework Performing at Twitter-Like Scale - SponsorsOne - Next Gen Brands, Community-built Demand

Waterloo, Ontario / TNW-ACCESSWIRE / July 15, 2014 / SponsorsOne Inc. (SPO – CSE) (“SponsorsOne” or the “Company”), the social commerce platform that brings elite sponsorship to the masses, today announced that it has successfully deployed its auto-scale cloud based technology, the core operational framework for the SponsorsOne system.

SponsorsOne’s system is a proprietary auto-scale framework designed to deliver the lowest latency experience for users and brand managers hungry for analytics. Unlike traditional systems that can take minutes to respond to high-load conditions, the SponsorsOne framework measures both key user experience metrics and analytical computation metrics to scale services up or down in anticipation of real-time changes in demand. SponsorsOne’s social sponsorship and social commerce trading platform is designed to deliver consistent levels of service performance even in the face of extreme data throughput requirements or user load.

The framework manages application servers, a complex distributed data storage, data acquisition API’s linked to large data sources like Twitter and Facebook, distributed fault-tolerant queuing technology and the algorithmic progressing engines that compute a user’s social influence.

Myles Bartholomew, CEO of SponsorsOne commented, “This is an important technical achievement for the Company. It not only establishes the necessary framework to operate and scale our system as effectively as possible, it provides us with a competitive advantage. This achievement demonstrates our commitment to operational excellence and inspires confidence in the robustness, security, and scalability of our system.”

With the auto-scale platform installed in both pre-production and production environments the next major milestone for the company is to move the Social Sponsorship application from the development environment into Alpha test on the pre-production auto-scale platform. This effort commenced in June and is expected to be in full Alpha-Test late July or early August 2014.

 

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