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Real user monitoring data

 

Real user monitoring (RUM) data refers to the collection of detailed information about the actual interactions and experiences of end users as they use a software application or website. This data captures real-time performance, behavior, and usage metrics from users’ devices, providing insights into how the application performs in real-world conditions.

RUM data includes various types of information that help developers and IT teams understand user experience, detect issues, and optimize application performance.

Examples of real user monitoring data include the following:

  • Page load times: Measurements of how long it takes for a web page or application screen to fully load on the user’s device
  • User interaction events: Data on clicks, scrolls, navigation paths, and other user actions within the application
  • Error and exception reports: Information about JavaScript errors, failed resource loads, or other client-side issues encountered by users
  • Session details: Duration of user sessions, number of pages visited, and user flow through the application
  • Geolocation and device information: Data about the user’s geographic location, device type, browser, and operating system
  • Network performance metrics: Latency, throughput, and request/response times experienced by the user
  • Resource timing: Details on how long individual resources (images, scripts, stylesheets) take to load
  • User satisfaction metrics: Metrics such as Apdex scores or custom satisfaction indicators derived from user behavior

This data is critical for understanding the real-world performance and usability of software applications, enabling proactive troubleshooting and continuous improvement.

Before looking at documentation for specific data sources, review the Splunk Docs information on general data ingestion: