One of North America’s major professional sports leagues discovered its open‑source analytics tool, Graylog, could no longer scale with its expanding needs. This prompted a search for a more powerful platform capable of handling the massive machine data generated across applications, game operations, broadcasting, and merchandising. Because the league doesn’t own the venues where teams play, it required a solution that could operate across diverse and inconsistent data environments. This drove the organization to seek a scalable, high‑performance system that could manage varied data types reliably.

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