Getting started with OpenObserve's RUM is straightforward. Add our JavaScript snippet to your application's HTML, and you'll begin collecting user experience data immediately. The snippet automatically captures performance metrics, user interactions, and errors. You can customize the configuration to focus on specific aspects of your application or adjust sampling rates.

OpenObserve captures essential frontend performance metrics including page load timing, navigation timing, and Core Web Vitals. The system tracks user interactions such as page views, clicks, and navigation events. Performance data includes resource timing for assets and API calls, giving you visibility into loading performance and backend dependencies.

The frontend monitoring system automatically captures JavaScript errors and exceptions with full stack traces and context. Each error event includes relevant information such as browser details, user actions leading to the error, and application state. You can track error frequencies, affected users, and patterns across different browsers and devices.

OpenObserve collects key frontend performance indicators including: First Contentful Paint (FCP), Largest Contentful Paint (LCP), and Time to Interactive (TTI). The system tracks resource loading performance, API call latencies, and custom timing marks you define. You can analyze performance trends across different user segments and page types.

The platform provides dedicated dashboards for frontend monitoring data. You can view performance trends, error rates, and user behavior patterns through various visualizations. Custom dashboards can be created to focus on specific metrics or user segments. The system supports real-time monitoring of current user experiences.

OpenObserve's frontend monitoring supports custom event tracking and metric collection. You can define specific user interactions or business events to monitor. The system allows for custom attributes and dimensions to be added to any tracked event, enabling detailed analysis of user behavior and application performance.

The platform implements intelligent sampling to balance data volume with monitoring coverage. You can configure sampling rates based on your needs and traffic patterns. Data retention policies can be customized per data type, allowing you to maintain historical data for trend analysis while managing storage costs.

OpenObserve provides comprehensive analysis tools for frontend monitoring data. You can segment users by browser, device, location, or custom attributes. The query engine supports complex analysis of performance metrics and user behavior patterns. You can create custom alerts based on performance thresholds or error conditions.