Case Study: Optimizely improves product reliability and error response with Sentry

How Optimizely uses Sentry

Optimizely, a platform for continuous experimentation and personalization, needed to keep its product stable, fast, and reliable for heavy users at scale. To do that, the team used Sentry to monitor production errors and surface performance issues before customers noticed them, with alerts flowing into Slack for fast response.

Sentry helped Optimizely get immediate notifications every time an exception was thrown in production, enabling engineers to jump on issues quickly and improve overall product reliability. The measurable impact was faster detection and resolution of user-facing errors, helping Optimizely proactively protect the experience for its most important customers.

Optimizely

Travis Beck

Software Engineer