Case Study: Rootly reduces MTTR by 50% with Sentry

Rootly reduces MTTR by 50% with Sentry

Rootly, an AI-native on-call and incident response platform, needed an observability solution to maintain reliability for its own service and support its fast-paced, CI/CD-driven development. To achieve deep visibility across its entire stack and quickly pinpoint issues, the company chose to implement Sentry for error and performance monitoring from the very beginning.

By integrating Sentry, Rootly gained real-time error detection and rich context to find root causes quickly. This solution from Sentry enabled them to reduce their Mean Time To Resolution (MTTR) by 50%, directly protect over $100,000 in annual recurring revenue by catching errors before they impacted users, and significantly increase developer productivity and happiness.

Rootly