Kentik - Network Flow Analytics
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Case Study

Major League Baseball Makes a Run at Network Visibility with Kentik

Reprinted from Network World, April 12, 2021

Major League Baseball is taking network visibility to the next level.

“There were no modern network-management systems in place before I came in. It was all artisanally handcrafted configurations,” says Jeremy Schulman, who joined MLB two years ago as principal network automation software engineer.

Legacy systems, including PRTG for SNMP-based monitoring and discrete management tools from network vendors, allowed MLB to collect data from switches and routers, for example, and track metrics such as bandwidth usage. But the patchworked tools were siloed and didn’t provide comprehensive visibility.

"All this very rich information is being put into a common observability platform, and that democratizes the data in a very important way at MLB."
– Jeremy Schulman, Principal Network Automation Software Engineer at MLB

“At our ballparks, we could see the bandwidth utilization, from a traffic-flow perspective, on our circuits. That gives us a very high-level view of how much data is being transmitted between the ballpark and our data centers. It doesn’t give us insight into the users of the traffic—how much bandwidth is being used by, say, the video cameras, versus how much traffic is VoIP phones or other aspects of the ballpark infrastructure,” Schulman says.

To gain greater visibility into its networks, MLB rolled out Kentik’s network-flow analytics platform, which is designed to unify diverse streams of monitoring data across clouds, data centers, edge, SaaS, and the WAN. It supports a broad range of telemetry formats, which is critical for MLB with its multivendor network environment that includes gear from Cisco, Arista and Extreme Networks.

Download the reprint or visit Network World for the full case study.

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