Real User Monitoring (RUM)
Monitor front-end applications and connect it to your backend — all inside your cloud.
Last updated
Monitor front-end applications and connect it to your backend — all inside your cloud.
Last updated
Capture real end-user experiences directly from their browsers and unify these insights with your backend observability data.
➡️ Check out our to your platform.
Real User Monitoring (RUM) extends groundcover’s observability platform to the client side, providing visibility into actual user interactions and front-end performance. It tracks key aspects of your web application as experienced by real users, then correlates them with backend metrics, logs, and traces for a full-stack view of your system.
Understand user experience - capture every interaction, page load, and performance metric from the end-user perspective to pinpoint front-end issues in real time.
Resolve issues faster - seamlessly tie front-end events to backend traces and logs in one platform, enabling end-to-end troubleshooting of user journeys.
Privacy first - groundcover’s Bring Your Own Cloud (BYOC) model ensures all RUM data stays in your own cloud environment. Sensitive user data never leaves your infrastructure, ensuring privacy and compliance without sacrificing insight.
groundcover RUM collects a wide range of data from users’ browsers through a lightweight JavaScript SDK. Once integrated into your web application, the SDK automatically gathers and sends the following telemetry from each user session to the groundcover platform:
Network requests: Every HTTP request initiated by the browser (such as API calls) is captured as a trace. Each client-side request can be linked with its corresponding server-side trace, giving you a complete picture of the request from the user’s click to the backend response.
Front-end logs: Client-side log messages (e.g., console.log outputs, warnings, and errors) are collected and forwarded to groundcover’s log management. This ensures that browser logs are stored alongside your application’s server logs for unified analysis.
Exceptions: Uncaught JavaScript exceptions and errors are automatically captured with full stack traces and contextual data (browser type, URL, etc.). These front-end errors become part groundcover monitors, letting you quickly identify and debug issues in the user’s environment.
Performance metrics (Core Web Vitals): Key performance indicators like page load time and Core Web Vitals like Largest Contentful Paint, Interaction to Next Paint, and Cumulative Layout Shift are measured for each page view. groundcover RUM records these metrics to help you track real-world performance and detect slowdowns affecting users.
User interactions: RUM tracks user interactions such as clicks, keydown, and navigation events. By recording which elements users interact with and when, groundcover helps you reconstruct user flows and understand the sequence of actions leading up to any issue or performance problem.
Custom events: You can instrument your application to send custom events via the RUM SDK. This allows you to capture domain-specific actions or business events (for example, a checkout completion or a specific UI gesture) with associated metadata, providing deeper insight into user behavior beyond automatic captures.
All collected data is streamed securely to your groundcover deployment. Because groundcover runs in your environment, RUM data (including potentially sensitive details from user sessions) is stored in the observability backend within your own cloud. From there, it is aggregated and indexed just like other telemetry, ready to be searched and analyzed in the groundcover UI.
One of the core advantages of groundcover RUM is its native integration with backend observability data. Every front-end trace, log, or event captured via RUM is contextualized alongside server-side data:
Trace correlation: Client-side traces (from browser network requests) are automatically correlated with server-side traces captured by groundcover’s eBPF-based instrumentation. This means when a user triggers an API call, you can see the complete distributed trace that spans the browser and the backend services, all in one view.
Unified logging: Front-end log entries and error reports are ingested into the same backend as your server-side logs. In the groundcover Log Explorer, you can filter and search across logs from both client and server, using common fields (like timestamp, session ID, or trace ID) to connect events.
End-to-end troubleshooting: With full-stack data in one platform, you can pivot easily between a user’s session replay, the front-end events, and the backend metrics/traces involved. This end-to-end context significantly reduces the time to isolate whether an issue originated in the frontend (browser/UI) or the backend (services/infrastructure), helping teams pinpoint problems faster across the entire stack.
By bridging the gap between the user’s browser and your cloud infrastructure, groundcover’s RUM capability ensures that no part of the user journey is invisible to your monitoring. This holistic view is critical for optimizing user experience and rapidly resolving issues that span multiple layers of your application.
Once RUM data is collected, it becomes available in the groundcover platform via the Sessions Explorer — a dedicated view for inspecting and troubleshooting user sessions. The Sessions Explorer allows you to navigate through user journeys and understand how your users experience your application.
Clicking on any session opens the Session View, where you can inspect a full timeline of the user’s experience. This view shows every key event captured during the session - including clicks, navigations, network requests, logs, custom events, and errors.
Each event is displayed in sequence with full context like timestamps, URLs, and stack traces. The Session View helps you understand exactly what the user did and what the system reported at each step, making it easier to trace issues and user flows.
