Diagnosing the Undiagnosable: Using Tanium Atlas to Root-Cause Performance on Resource-Constrained Restaurant Hardware
McDonald’s restaurant estate runs on a huge population of 4GB and 8GB RAM devices, including POS terminals, KVS, kiosks, and back-office equipment, where manual, one-device-at-a-time troubleshooting can’t keep up. The team used Tanium Atlas as a conversational root-cause partner. They correlated system and application crashes to hardware model, OS image, and RAM tier across 106 markets, and measured the real memory and disk footprint of security and business tooling under actual device stress. They also separated genuine capacity problems from stale or misleading sensor data before escalating externally. Those findings shaped how they scoped and phased deployments, and verified real impact before widening a rollout. Attendees will leave with a repeatable approach to fleet-wide performance diagnosis and safer deployments on constrained hardware.