Case Study: GumGum turns to Sumo Logic to Support Massive AWS-hosted Deep-learning Environment | Sumo Logic
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Case Study: GumGum turns to Sumo Logic to Support Massive AWS-hosted Deep-learning Environment

GumGum needed to establish a robust, centralized control system to coordinate its sprawling, highly complex distributed computing environment. In addition to streamlining ongoing operations, this initiative would help identify and correct problems and thus reduce revenue-sapping response latency.

The company rolled out Sumo Logic’s cloud- native machine data analytics technologies to enable real-time visibility into its entire computing portfolio. Extensive dashboards supplied instantaneous views of operational status, which made it possible to detect and rectify problems much more rapidly.

“We rely on an intricate, highly advanced collection of hardware and software. By centralizing and simplifying operational management of our sophisticated architecture, Sumo Logic lets us focus on growing our core business.” Vaibhav Puranik, VP of Engineering, Big Data & Platform, GumGum

Download the case study to learn more about how Sumo Logic helps GumGum to scale their technology stack and more.

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“Sumo Logic brings everything together into one interface where we can quickly scan across 1,000 servers and gigabytes of logs and quickly identify problems. It’s awesome software and awesome support.”

Jon Dokuli,
VP of Engineering

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