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6월 27, 2018 By Sumo Logic

GumGum Selects Sumo Logic as its Machine Data Analytics Platform of Choice to Support Massive AWS-hosted Deep-learning Environment

Leader in AI-driven Computer Vision Unifies and Simplifies Operational Management of its Sophisticated Architecture to Deliver Breakthrough In-Image Advertising to Customers

REDWOOD CITY, Calif. – June 27, 2018 – Sumo Logic, the leading cloud-native, machine data analytics platform that delivers continuous intelligence, today announced GumGum, an artificial intelligence company with deep expertise in computer vision, has chosen Sumo Logic to manage, monitor and troubleshoot its 100 percent cloud-based infrastructure and modern application stack for a real-time view into all machine data being ingested across its entire computing portfolio. With Sumo Logic, GumGum can take advantage of interactive dashboards that supply instantaneous views of operational status, enabling them to rapidly detect and rectify problems without disrupting service for their customers and losing key advertising space.

Founded in 2008, GumGum is a pioneer in the computer vision industry. Their mission is to unlock the value of visual content produced daily across diverse data sets to serve a variety of industries, from advertising to professional sports. GumGum achieves this through patented software capable of automatically detecting objects within images and videos, while also applying natural language processing to extract meaning from the text that often accompanies visual content. The end result is a completely new type of contextual display ad served directly and seamlessly to relevant audiences that did not exist before.

[epq-quote align="align-right"]"By unifying and simplifying the operational management of our sophisticated architecture, Sumo Logic allows us to focus on growing our core business and delivering exceptional services to customers without being bogged down by backend work." -- Vaibhav Puranik, GumGum[/epq-quote]

Hosted entirely in Amazon Web Services (AWS), the company employs thousands of servers in the cloud every day to drive its deep learning frameworks. However, as GumGum continued to grow and invest in a variety of modern applications like Cassandra, Druid and Kafka to build and run their computer vision platform, the infrastructure became too distributed and complex to manually aggregate data and determine the root cause and extent of an issue at scale. For its advertising servers alone, GumGum deployed numerous clusters across different geographical regions with each cluster consisting of 500 servers or more.

GumGum needed to establish a robust, centralized machine data analytics platform to provide holistic visibility into all servers and clusters running across its sprawling computing environment. After trying other solutions that were unable to meet GumGum’s scalability needs and required excessive additional team resources, the company became impressed by Sumo Logic’s issue detection and correction capabilities, scalability, flexibility and ease-of use — all delivered at a lower cost than alternative solutions.

“Being in the advertising industry, we rely heavily on real-time bidding, which requires strict latency guarantees,” said Vaibhav Puranik, VP of engineering, big data & platform, GumGum. “From the time our team receives an inbound request to display an ad, they have less than 60 milliseconds to reply before their bid is ignored, and we lose out on prime advertising space, which converts to lost revenue. That's why it was production-critical that we find the right partner with a cloud-native, flexible platform like Sumo Logic that could instantly detect issues and correlate the potential downstream impact without skipping a beat.”

Today, Sumo Logic is deployed throughout the organization and leveraged heavily by the DevOps, back-end server management, data science and data engineering teams, which process millions of pages each day using massive Cassandra clusters.

“Our customers in professional sporting and advertising rely on us because of our promise to add value to the images and videos that are most relevant to them and their industries,” said Puranik. “In order to do this, we rely on an intricate, highly advanced collection of hardware and software. By unifying and simplifying the operational management of our sophisticated architecture, Sumo Logic allows us to focus on growing our core business and delivering exceptional services to customers without being bogged down by backend work.”

“At Sumo Logic, we pride ourselves on working with modern digital businesses that are harnessing data in unique and value-driving ways, so they can in turn deliver the best customer experiences possible,” said Dean Thomas, VP of customer success, Sumo Logic. “GumGum exemplifies this quality, and by using Sumo Logic, Vaibhav and his team can freely scale their full technology stack without worrying about machine data aggregation and analytics. Our platform does all of the heavy lifting so that GumGum can focus on delivering high-quality service to their customers while Sumo Logic takes care of the rest.”

Additional Resources

  • Read the GumGum case study
  • Read CEO Ramin Sayar’s blog on machine data analytics and customer experience
  • Register for Illuminate, Sumo Logic’s annual user conference
  • Sign up for Sumo Logic for free

About Sumo Logic

Sumo Logic is a secure, cloud-native, machine data analytics service, delivering real-time, continuous intelligence from structured, semi-structured and unstructured data across the entire application lifecycle and stack. More than 1,600 customers around the globe rely on Sumo Logic for the analytics and insights to build, run and secure their modern applications and cloud infrastructures. With Sumo Logic, customers gain a multi-tenant, service-model advantage to accelerate their shift to continuous innovation, increasing competitive advantage, business value and growth.

Founded in 2010, Sumo Logic is a privately held company based in Redwood City, Calif. and is backed by Accel Partners, DFJ, Greylock Partners, IVP, Sapphire Ventures, Sequoia Capital and Sutter Hill Ventures. For more information, visit

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