Case Study: Leading Online Gaming Company achieves 79% faster MTTR with BigPanda

How BigPanda helped bring order to an online gaming multiverse

Leading Online Gaming Company, a world-renowned game developer and online platform provider with more than 10 million subscribers, was struggling with noisy IT Ops environments and poor event correlation in its global NOC. Its previous tool, Moogsoft, used black-box machine learning that limited operator control, slowed incident resolution, and created overwhelming alert floods during routine server maintenance.

BigPanda implemented its Open Box Machine Learning and Open Integration Hub to give the team editable, deterministic correlation and bi-directional Jira ticketing, while fitting into existing workflows. In an eight-week PoV and a 12-week go-live, BigPanda helped the customer achieve 99.9% compression in the first 30 days, cut MTTR by 79% on P3-P5 incidents, reduce maintenance noise by 99%, and improve signal-to-noise from just over 25% to more than 75%.