The use case: how Faros AI deploys Sentry
Faros AI uses Sentry for error tracking and, more recently, Sentry Performance to monitor client-side page load and navigation times in its application. The engineering team uses transaction, tenant and user data to investigate performance regressions and production incidents.
In the customer’s words
With Sentry, we are able to track and report weekly on the end-user experience of our app. We rely on Sentry to monitor our progress toward our defined performance goals — week-over-week 95th percentile of page load and page navigation times — and to investigate any regressions that might have occurred.Sentry users in DevTools & Infrastructure
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sentry.io- Last checked
- Nov 13, 2026
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With Sentry, I could identify the transactions, tenants, and users that were affected and contributed to the spike that triggered the alert. Knowing just the API endpoint that caused the regression was not sufficient, since response time heavily depends on the data shape unique to each tenant.