Smarter, scalable, deeper RUM
RUM
Coralogix goes beyond the browser and correlates user behavior with backend systems for full visibility, faster fixes, and smarter optimization at scale.
What makes Coralogix RUM different?
Instant insights, no indexing delays
Coralogix processes RUM data in-stream for real-time visibility. No indexing, no delays, no waiting for answers.
Full retention with your own storage
Store every session and event in your cloud with no sampling or limits. Analyze long-term user behavior at full fidelity.
Complete context across the stack
Correlate frontend behavior with backend logs, metrics, and traces in one platform. No silos, no tool switching.
Explore every aspect of the user experience
Error tracking
Catch frontend errors before users do
Get full real-time visibility into browser-side issues, from slow elements to JavaScript failures. Automatically group related errors to reduce noise and trace them back to the exact line of code and backend impact.
User session replay
Replay and understand every user session
Watch real user sessions to uncover friction, broken flows, and UX problems. Dive into session timelines and instantly correlate behavior with performance metrics and backend errors.
Core web vitals
Optimize web vitals in real time
Track LCP, INP, CLS, FID, and more across every page and user. Visualize trends, detect regressions, and diagnose slowdowns by device, region, or browser.
Network monitoring
Monitor every network call and API in context
See every request from the user’s device to your backend. Detect latency spikes, failed calls, or slow responses and trace them across the full stack.
Scalable observability for your systems
In-stream analysis
Continuous, real-time monitoring of AI interactions, detecting risks and performance issues before they impact users.
Infinite retention
Ensures historical AI data remains accessible for long-term trend analysis and deep troubleshooting without data loss.
DataPrime engine
Tracks token usage and suspicious resource consumption, helping teams prevent cost overruns while maintaining AI efficiency.
Remote, index-free querying
Lightning-fast searches without the overhead of indexing, ensuring real-time AI observability without unnecessary storage costs.