El uso: cómo Faros AI implementa 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.
En palabras del cliente
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.Clientes de Sentry en DevTools e Infraestructura
Empresas del mismo sector, con pruebas públicas.
AtlassianConfirmado
BitnamiConfirmado
FactoryConfirmado
SmugMugConfirmado
SupabaseConfirmado
TestmoConfirmadoConsultar la fuente
Basado en el caso de éxito publicado por Sentry. Verificamos las pruebas públicas; los resultados son los que declara el proveedor.
sentry.io- Última verificación
- 13 nov 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.