Real User Monitoring

See what's slow for real users

KloudMate RUM measures real page loads, layout shifts, and browser interactions, the Core Web Vitals your users actually feel. Then it ties a bad page back to the backend request behind it.

Performance from the user's side — KloudMate Real User MonitoringKloudMate · Real User MonitoringReal User Monitoring · OverviewPerformance from the user's sideOverviewSessionsResourceDeploymentPagesLCP3.1sCLS0.08INP238msFID12msPage views & errorsUser impactcheckout is degrading first · mobile users hit the highest interaction delay

A slow page could be your frontend or your backend. Separate tools won't tell you which.

KloudMate keeps user-facing performance wired to the backend stack that explains it, so you can move from a bad page experience straight to the request path behind it.

What teams can do with Real User Monitoring

Measure real user experience with enough backend context to distinguish a browser-side issue from a deeper service or dependency regression.

Capture real-browser performance

Measure page load times, interaction timing, layout shifts, and other frontend performance signals from actual user sessions.

Track core web vitals

Use metrics such as LCP, CLS, and INP to understand when the experience is slipping before the issue is obvious in support tickets.

Replay the session, not just the metric

Group interactions into sessions and replay them, masked, so the team can see exactly which page, flow, or cohort hit the worst experience first.

Connect the browser to the backend

Use the linked APM backend to trace the server-side path behind a slow page, request, or user interaction.

Prioritize issues by user impact

The best RUM workflow starts with what the user felt, then confirms whether the cause lives in frontend code, a backend dependency, or both.

01

Instrument the browser

Add the RUM script so the application can report page performance, interactions, and session data into KloudMate.

02

Review vitals and affected pages

Compare web vitals and page-level performance to identify which route or interaction is degrading first.

03

Open the affected session or backend path

Use session context and APM linkage to decide whether the issue is browser-only or tied to a backend request path.

04

Prioritize response by impact

Use real user impact to decide whether the issue should become an alert, incident, or a monitored performance improvement task.

Pages and user-facing symptoms — KloudMate Real User MonitoringKloudMate · Real User MonitoringReal User Monitoring · PagesPages and user-facing symptomsActive sessions3,842Routes watched14Error bursts2PageDeviceLCPSessions/checkoutLCP high on mobilemobile3.1s1,204/catalogstabledesktop1.6s2,310/productINP creeping upmobile2.7s1,580/accountstabledesktop1.2s880Linked backendAPM traces available · open the checkout request path from the same window

Track page load, frontend errors, and performance regressions

RUM becomes most useful when teams can compare web vitals with the pages, interactions, and user segments that are driving the worst experience.

  • Review Avg. LCP, CLS, INP, and other key frontend performance measures
  • Understand the session and page context behind a degrading route or interaction
  • Use default RUM dashboards as the starting point for deeper frontend analysis
From slow page to backend trace — KloudMate correlationExperience correlationFrom slow page to backend trace01Page slows
checkout LCP and INP regress on mobile
02Session opened
same route and user journey isolated
03Backend trace
inventory and payments spans dominate
04Prioritized
user impact attached to the investigation
Affected cohortMobile checkout usershighest interaction-delay increaseBest next viewTrace waterfallbackend latency for the same page load

Connect frontend issues to backend traces

User experience problems do not always start in the browser. KloudMate keeps RUM close to the backend observability stack so teams can follow a slow click or page load into the related request path.

  • Use session and page context to find the backend request path carrying the slowdown
  • Separate browser-only regressions from server-side latency or dependency failures
  • Keep user impact visible while backend teams investigate the deeper cause
KloudMate AI

Use KloudMate Assistant to explain a degraded user experience

Assistant can help teams explain what users are experiencing, identify the affected route or cohort, and point responders toward the backend or frontend signal most likely to explain the regression.

  • Describe Summarize the route, cohort, or interaction most affected
  • Correlate Connect RUM symptoms to related logs, traces, and alerts
  • Prioritize Frame the issue in terms of user impact before deeper triage begins
Explore platform
Why is checkout feeling slower? — KloudMate Auto-RCAAssistant on RUMWhy is checkout feeling slower?Q
Summarize the user-facing impact and tell me whether the backend is involved.
Assistant · likely cause
  • Mobile checkout users are seeing the highest LCP and interaction delay regression.
  • The strongest backend correlation is the inventory span cluster inside checkout requests.
  • Start with the checkout trace set before treating this as a browser-only regression.
Affected route/checkoutlargest experience regression in current windowAffected usersmobile cohorthighest INP increaseSuggested next checkOpen linked tracesinventory dependency dominates latency

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