From failed check to real user impact: Pairing Synthetic Monitoring and Frontend Observability in Grafana Cloud
Blog post from Grafana Labs
Grafana Cloud’s Synthetic Monitoring and Frontend Observability are presented as complementary tools for understanding frontend reliability: synthetic checks provide controlled, proactive signals that detect failures from known locations and scripted user journeys, while real user monitoring through the Faro SDK reveals the actual scope, conditions, and user experiences behind those signals. Synthetic monitoring alone can miss unanticipated user paths, browser or regional variations, and the number of users affected, whereas frontend observability captures real-session performance, JavaScript errors, contextual stack traces, and session replays. Combined workflows allow teams to investigate synthetic alerts by correlating failed checks with real-user sessions, quantifying blast radius, identifying shared factors such as browser, location, or error type, and making more informed incident-priority decisions. Real-user data can also expose unmonitored problem areas, guide the creation of new browser checks, establish performance thresholds based on observed p75 and p95 baselines, and help retire low-value tests. Because both data sources are available in Grafana Cloud, teams can instrument critical applications, compare signals by URL and time range, and build dashboards that connect uptime status with real-user error rates and traffic, creating a feedback loop intended to improve triage, alert relevance, test coverage, and collaboration between development and operations teams.
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