Case Study: Duolingo debugs issues 12x faster with Sentry

A Sentry Case Study

Preview of the Duolingo Case Study

Duolingo debugs issues 12x faster with Sentry

Duolingo, the world's leading language-learning platform, faced significant challenges in managing errors across its complex system of over 200 microservices. Their legacy error monitoring tool was slow, created bottlenecks, and flooded engineers with noise, making debugging a time-consuming process that relied on a few "power users." This fragmented approach hindered productivity and risked disrupting their service.

By implementing Sentry's error monitoring platform, Duolingo migrated all their microservices in under two weeks. Sentry provided intuitive dashboards, advanced filtering, and deep contextual data, which dramatically accelerated debugging. The results include a 12x faster time to resolution, a 3x reduction in debugging time for key workflows, and the maintenance of 99.9% uptime. Over 50% of Duolingo's engineers now use Sentry daily, empowering teams and reducing alert fatigue.


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