Capacity Forecasting Delivers a “Cockpit” View of eBay Data Centers

eBay deploys Maya HTT’s solutions to obtain direct insight into data center capacities and enable critical capacity management decisions.

May 22, 2019, Montreal, Canada—eBay, a leading e-commerce corporation, has deployed Datacenter Clarity LC®, a platform developed by Maya Heat Transfer Technologies (Maya HTT), as its Datacenter Infrastructure Management (DCIM) solution of choice.

Maya HTT’s Datacenter Clarity LC is a datacenter infrastructure lifecycle management platform that offers a complete real-time view into data center operations by leveraging state-of-the-art management tools to optimize equipment placement and energy consumption. Datacenter Clarity LC can also serve as a forecasting model detailing changes in performance and cost over time, giving administrators and operators a 4D digital twin of their operations. Datacenter Clarity LC captures real-time operational data fueling advanced analytics and can be leveraged for AI development.

Maya HTT’s expertise was uniquely able to provide a “best-of-breed” DCIM software solution built around Product Life-Cycle Management (PLM) that met eBay’s design criteria for usability, scalability and sustainability. As a solution partner and reseller for Siemens Digital Industries Software, Maya HTT brings an intimate knowledge of products and technologies that enable delivery of a total solution, customized to meet its customers’ needs. Maya HTT’s deep learning and AI as a service practice has helped many clients deliver results on their digitalization investment.

A combination of real-time data and lifecycle planning has allowed eBay to optimize its operations, tap into the hidden value of its data with automated analytics, and improve the accuracy of the data it relies on to inform critical business decisions. The technology offers the ability to visualize and navigate capacities across time, and see current real-time power, cooling and environmental data from within the data center. The system’s data can be leverage to train AI agents to detect anomalies and faulty sensors in real time and predict future results.

“Our DCIM serves as a great data foundation for feeding AI algorithms,” said Remi Duquette, Vice President of AI and datacenter at Maya HTT. “eBay’s primary goal was to enhance their forecasting abilities. Now that they have rich and clean data to build on, they are in a great position to harvest the benefits of AI and deep learning.”

“One of the things that we learned in working with Maya HTT through proof of concept is that they have a very nimble development team,” said Jeff Tepfer, Distinguished Architect at eBay.

“Clarity is built around a product lifecycle management tool, and the backend is OSIsoft – a key win for us. It completely dovetails with our implementation of OSI. More than that, we are able to create a cockpit view for taking critical, timely, and expensive decisions in real time.”

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