What you get
| Capability | Description |
|---|---|
| Core Web Vitals | LCP, FID, CLS (Google’s UX metrics) |
| Page load performance | Navigation timing, resource loading |
| JavaScript errors | Capture and trace frontend exceptions |
| Performance alerts | Alert when Core Web Vitals degrade |
| User sessions | Track user journeys and interactions |
| Trace context | Connect frontend actions to backend traces |
| Geographic performance | See performance by region |
Questions answered
| With Frontend Observability, you can answer… |
|---|
| Why are users in Europe experiencing slower load times? |
| What JavaScript errors are affecting my checkout page? |
| Which pages have the worst Core Web Vitals scores? |
| What did the user do before this error occurred? |
| How does my real user performance compare to synthetic tests? |
Problems solved
| Problem | Solution |
|---|---|
| Users report “slow” but backend looks fine | See actual browser performance. |
| JavaScript errors go unnoticed | Automatic error capture with context |
| Can’t connect frontend to backend issues | Trace propagation links the full journey. |
| No visibility into real user experience | RUM metrics from actual users |
The full picture
Script
Here’s a frustrating scenario: users are complaining that the site is slow, but all your backend metrics look fine. What’s going on?
Frontend Observability gives you the answer by monitoring what users actually experience in their browsers. This is Real User Monitoring, or RUM. It captures real performance data from real user sessions.
You get Core Web Vitals. These are Google’s standardized metrics for user experience, things like Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift. You see page load timing, JavaScript errors, and even session recordings.
The magic happens when you connect frontend to backend. A user clicks a button, that generates a trace that flows all the way through your services and back. Now when someone reports “it was slow,” you can see exactly what they experienced and trace it through to the root cause.
This is particularly powerful for geographic issues. Why are users in Europe slower than users in the US? Frontend Observability shows you.
