--- title: From failed check to real user impact: Pairing Synthetic... description: Grafana Cloud's Synthetic Monitoring and Frontend Observability (built on the Faro SDK) can be paired to close blind spots that a synthetic-only strategy... canonical: https://daily.dev/posts/from-failed-check-to-real-user-impact-pairing-synthetic-monitoring-and-frontend-observability-in-gr-tdjffwftw twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: From failed check to real user impact: Pairing Synthetic Monitoring and Frontend Observability in Grafana Cloud | daily.dev og:description: Grafana Cloud's Synthetic Monitoring and Frontend Observability (built on the Faro SDK) can be paired to close blind spots that a synthetic-only strategy... og:url: https://daily.dev/posts/from-failed-check-to-real-user-impact-pairing-synthetic-monitoring-and-frontend-observability-in-gr-tdjffwftw og:image: https://api.daily.dev/og/posts/TdJFFwfTW.png og:image:alt: From failed check to real user impact: Pairing Synthetic Monitoring and Frontend Observability in Grafana Cloud og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # From failed check to real user impact: Pairing Synthetic Monitoring and Frontend Observability in Grafana Cloud **[Grafana Labs](https://daily.dev/sources/grafana)** · 10 min read · 1 upvotes · 0 comments ## Summary Grafana Cloud's Synthetic Monitoring and Frontend Observability (built on the Faro SDK) can be paired to close blind spots that a synthetic-only strategy leaves open. Synthetic checks reliably detect that something broke but can't reveal who was affected, how badly, or why. Frontend Observability adds real-user data (Core Web Vitals, JS errors, session replay) to quantify blast radius, confirm root cause, and set smarter thresholds. The post walks through reactive workflows (using real-user data to scope a failed check) and proactive workflows (using real-user error patterns to fill gaps in synthetic test coverage), plus practical setup steps for correlating both signals in the same Grafana Cloud stack. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### Why do my synthetic monitoring checks show green while users are reporting a broken page? Synthetic checks only validate the exact scripted paths, probe locations, and assertions defined ahead of time, so they can miss real user journeys, long-tail browser and device combinations, and regional edge cases that were never scripted. A check passing cleanly does not mean nobody is failing elsewhere; it just means the specific tested path is fine. _Developers debugging this mismatch can find deeper monitoring explainers and workflows through daily.dev._ ### How can I quantify the blast radius of a failed synthetic check? Pair the synthetic check with real user monitoring data for the same URL: pivoting from a failed check into captured real-user sessions shows how many users hit an error in the same time window and what they have in common, such as browser, region, or a shared JavaScript error. This turns a vague alert into a data-backed statement like a specific percentage of users affected since a specific time. _Teams building incident response workflows around blast radius often track observability practices like this on daily.dev._ ### How should I set latency thresholds for synthetic monitoring checks? Set thresholds from real-user p75/p95 baselines captured by frontend observability tools instead of picking arbitrary numbers in a planning meeting. This way a check alerts when performance degrades relative to what real users actually experience, keeping the synthetic suite aligned with actual traffic patterns rather than outdated assumptions. _Engineers tuning alert thresholds against real traffic can follow monitoring practices like this on daily.dev._ ## Similar posts on daily.dev - [Digital Experience Monitoring with Grafana Cloud: Session Replay, synthetic checks, and faster investigations](https://daily.dev/posts/digital-experience-monitoring-with-grafana-cloud-session-replay-synthetic-checks-and-faster-inves-w55ccztcv) · Grafana Labs · 0 upvotes · 0 comments - [Beyond performance monitoring: Understand the user experience with Grafana Cloud Frontend Observability](https://daily.dev/posts/beyond-performance-monitoring-understand-the-user-experience-with-grafana-cloud-frontend-observabil-vgqrtd6f3) · Grafana Labs · 0 upvotes · 0 comments - [Building an end-to-end reliability testing strategy with Grafana Cloud](https://daily.dev/posts/building-an-end-to-end-reliability-testing-strategy-with-grafana-cloud-j79wla2er) · Grafana Labs · 0 upvotes · 0 comments - [Stop Flying Blind: Synthetic Monitoring, Host heat-maps, and Process-Level Visibility](https://daily.dev/posts/stop-flying-blind-synthetic-monitoring-host-heat-maps-and-process-level-visibility-ogvotfgl4) · Last9 · 1 upvotes · 0 comments - [Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring](https://daily.dev/posts/simplifying-troubleshooting-across-the-user-journey-with-datadog-synthetic-monitoring-bq1g6xoll) · Datadog · 0 upvotes · 0 comments --- Tags: [#observability](https://daily.dev/tags/observability), [#grafana](https://daily.dev/tags/grafana) [View this post on daily.dev](https://daily.dev/posts/from-failed-check-to-real-user-impact-pairing-synthetic-monitoring-and-frontend-observability-in-gr-tdjffwftw) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"From failed check to real user impact: Pairing Synthetic Monitoring and Frontend Observability in Grafana Cloud","url":"https://daily.dev/posts/from-failed-check-to-real-user-impact-pairing-synthetic-monitoring-and-frontend-observability-in-gr-tdjffwftw","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/from-failed-check-to-real-user-impact-pairing-synthetic-monitoring-and-frontend-observability-in-gr-tdjffwftw"},"datePublished":"2026-08-24T12:15:05.616Z","dateModified":"2026-09-13T21:59:51.205Z","description":"Grafana Cloud's Synthetic Monitoring and Frontend Observability (built on the Faro SDK) can be paired to close blind spots that a synthetic-only strategy...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/25af8a7c75e70750b23ea3e3a4ef0617?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/25af8a7c75e70750b23ea3e3a4ef0617?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Grafana Labs","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Grafana Labs","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/769cb8df467e4c428abd75e0c2491d1d","url":"https://daily.dev/sources/grafana"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/from-failed-check-to-real-user-impact-pairing-synthetic-monitoring-and-frontend-observability-in-gr-tdjffwftw","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"observability,grafana","timeRequired":"PT10M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Grafana Labs","item":"https://daily.dev/sources/grafana"},{"@type":"ListItem","position":3,"name":"From failed check to real user impact: Pairing Synthetic Monitoring and Frontend Observability in Grafana Cloud"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/from-failed-check-to-real-user-impact-pairing-synthetic-monitoring-and-frontend-observability-in-gr-tdjffwftw#faq","mainEntity":[{"@type":"Question","name":"Why do my synthetic monitoring checks show green while users are reporting a broken page?","acceptedAnswer":{"@type":"Answer","text":"Synthetic checks only validate the exact scripted paths, probe locations, and assertions defined ahead of time, so they can miss real user journeys, long-tail browser and device combinations, and regional edge cases that were never scripted. 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