Observability: Synthetic and Real User Monitoring

Community Office Hours

Observability: Synthetic and Real User Monitoring

1 Comment
Cover Images - Office Hours (15).png
Published on ‎10-31-2025 11:21 AM by Splunk Employee | Updated on ‎03-23-2026 12:58 PM

Register here.  This thread is for the Community Office Hours session on Splunk Observability Cloud - Synthetic and Real User Monitoring (RUM) on Tuesday, Dec 9, 2025 at 11 am PT / 2 pm ET.

 

Ask the experts at Community Office Hours! An ongoing series where technical Splunk experts answer questions and provide how-to guidance on various Splunk products and use case topics. 

 

In this session, we will focus on Digital Experience Monitoring, specifically Real User Monitoring (RUM) and Synthetic Monitoring. Bring your questions and get direct insights from the team.

 

What can I ask in this AMA?

  • How do I get a more complete view of the user experience on my app or website?
  • How do I correlate front and backend investigations?
  • Can you give me tips on proactively finding and fixing performance issues?
  • How can I gain insights into user engagement and behavior?
  • Anything else you'd like to learn!

 

Please submit your questions at registration. You can also head to the #office-hours user Slack channel to ask questions (sign in with SSO here). 

 

Pre-submitted questions will be prioritized. After that, we will open the floor up to live Q&A with meeting participants.

 

Look forward to connecting!



0 Karma
NickG
Splunk Employee

Hi everyone! Here are a few questions from the session (get the full Q&A deck and live recording in the #office-hours Slack channel) 

 

Q1: What can you do with Splunk Real User Monitoring?

Answer

  • Monitor User Experience and Performance: Splunk RUM tracks front-end user experience, collecting performance metrics, web vitals, and errors for every user session in both browser-based applications and native iOS/Android mobile apps. This includes measuring the customer impact of every resource, image, route change, and API call.
  • Identify and Troubleshoot Errors: SRE and Dev teams can quickly identify and isolate client-side errors like JavaScript errors and mobile crashes. Splunk RUM offers sourcemapping/symbolication to pinpoint the exact line of code causing an error.
  • Gain End-to-End Visibility: Splunk RUM provides out-of-the-box correlation with APM and Infrastructure Monitoring, allowing one-click tracing of frontend requests to backend services for full-stack observability. It also correlates with ThousandEyes network insights for broad network issue identification.
  • Reproduce and RCA Session Issues: Splunk RUM allows for full user session analysis together with session replay capabilities, offering video reconstructions correlated with session waterfalls to help reproduce issues efficiently.
  • Support Mobile Applications: For native iOS and Android mobile applications, Splunk RUM provides deep visibility by automatically capturing common client attributes, app lifecycle events, network requests, crashes/errors, and app hangs/rendering issues.
  • Utilize Dashboards and Alerts: Splunk RUM provides built-in dashboards to monitor application performance, track key metrics like page views and JavaScript errors, and allows for the creation of custom dashboards and charts. It also helps in identifying critical attention areas and triggering alerts.


Q2: How does Splunk plan to leverage AI in its DEM solutions?

Answer

  • Monitoring & Troubleshooting Support: Integration with Splunk Observability AI Assistant provides a natural language interface to ask questions about monitored apps and synthetic jobs.
  • Understand the User and associated Business Impact of Incidents: Map impacted applications and number of affected sessions and users in Splunk Observability AI-directed troubleshooting.
  • AI Driven RCA in RUM & Synthetics: automate the analysis of synthetic test failures and RUM errors/latency issues offering potential root causes and reduce mean time to resolution. (*Roadmap)
  • Ease Synthetic Test Creation: prompt-driven test creations that creates complex synthetic tests -- no longer requiring users to manually replicate user journeys step by step. (*Roadmap)
  • Automated Healing for Synthetic Tests: for non-critical failures such as test drift, automatically repair issues within the tests themselves, ensuring only critical problems requiring deeper investigation send detector alerts. (*Roadmap)

 

Q3: What is the upcoming Digital Experience Analytics solution, and how does it relate to Real User Monitoring and Synthetics?

Answer

Digital Experience Analytics (DEA)

At its core, digital experience analytics is the process of understanding customer behavior, intent and sentiment across all digital domains and generating actionable insights for digital product teams.

Synthetics (coming soon): choose from DEA user flows and easily create new synthetic tests that mimic critical real-user journeys.

Screenshot 2025-12-12 at 12.43.59 PM.png