dt-obs-frontends

Diagnose frontend performance issues by analyzing Real User Monitoring (RUM) data to evaluate Core Web Vitals, session analytics, and error traces. This process surfaces performance trends and granular event-level queries to speed up issue discovery and remediation across web and mobile frontends.

Yes, you can trace mobile application crashes and analyze user behavior using RUM data. The system evaluates mobile crash diagnostics and session analytics, allowing you to optimize mobile startup times and identify granular user event interactions for detailed analysis.

Check Core Web Vitals like LCP by querying frontend telemetry data to surface performance insights. You can request specific metrics, such as showing the top frontends by LCP over a designated time period, to quickly identify slow-loading pages and performance trends.

The best way to correlate frontend errors with backend traces is by using centralized frontend observability workflows. These combine RUM, session analytics, and frontend error traces to provide end-to-end visibility, linking frontend stability issues directly to backend performance data.

Yes, this observability approach supports both web and mobile platforms. It provides centralized visibility across both environments, combining Real User Monitoring, Core Web Vitals for web, and mobile crash diagnostics to evaluate performance, engagement, and stability comprehensively.

Query detailed user events for frontend session analysis by fetching user.events data alongside dt.frontend.* metrics. This retrieves granular, event-level information necessary for tracing user behavior, debugging errors, and understanding session-level engagement trends.