Analyze RUM data with the AI Assistant

Use the AI Assistant to investigate application performance, isolate crashes, and monitor user sessions using natural language prompts.

Ensure you have access to a supported realm and have RUM data in Splunk Observability Cloud.

Sample Prompts

Use the following prompts as a guide to prompt the AI Assistant for RUM use cases.

Goal Sample Prompt
Understand slowness "Show me the avg cold startup times in my app 'VendorApp' over 7 days."
Analyze crashes "What are the top crashes in my app 'VendorApp'?"
Investigate errors "Show me the stack trace for Error ID <12345>."
Isolate environment "Show me the affected devices and OS for Error ID <12345>."
Network latency "Show me the network errors of my app 'VendorApp'."
Browser metrics "Get page latency metrics for my web store application."
  1. In Splunk Observability Cloud, select the AI Assistant icon from the toolbar on the right side.
  2. Enter your prompt in plain English in the text box.
    Example: "Show me the average cold startup times in my app 'VendorApp' over the last 7 days."
  3. Review the insights provided.
    • For crashes: If you ask for top crashes, the assistant provides the Error ID and stack trace. Select the link to Tag Spotlight for further insights.
    • For filters: You can ask the assistant to filter data by tags (e.g., "Show me network errors for app 'xyz' filtered by region").

Analyze Mobile RUM

Use the assistant to investigate mobile-specific issues:

  • Slowness: Ask for average cold startup times over specific durations (e.g., "last 7 days").
  • Crashes: Ask for top crashes, stack traces for specific Error IDs, and affected devices/OS.

Analyze Browser RUM

Use the assistant to investigate web application issues:

  • Performance: Ask for page latency, network request latency, or Core Web Vitals (CWV).
  • Errors: Ask for network request errors or tags associated with negative metrics.