What are common use cases for Datadog RUM?

Identifying frontend errors is a primary use case for Datadog Real User Monitoring (RUM). RUM provides insights into how real users experience your web applications by capturing performance metrics and user interactions directly from the user's perspective. This data enables developers and DevOps teams to detect, analyze, and address issues such as slow page load times, JavaScript errors, and overall user experience problems. By leveraging RUM, teams can pinpoint specific areas in the frontend where errors occur, allowing for timely fixes and enhancements that improve user satisfaction.

In contrast, the other use cases presented involve tasks outside the scope of RUM. For instance, managing server load pertains to backend performance and requires monitoring solutions focused on infrastructure rather than frontend user experience. Similarly, optimizing database queries relates to backend operations and is not something that RUM focuses on since it's primarily concerned with understanding user interactions. Lastly, scheduling backup tasks is an operational process that is typically managed by system administrators or backup solutions, rather than a monitoring tool aimed at capturing real-time user interactions and frontend performance.