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The Frontend Observability Stack

2 min read

Putting It All Together

Frontend SRE isn't a single tool — it's a stack of complementary capabilities. Understanding how they fit together helps you design a complete observability practice rather than patching gaps reactively.

Layer What It Monitors Example Tools
Error Tracking JavaScript exceptions, unhandled promise rejections, Error Boundary catches Sentry, Datadog Error Tracking
RUM Core Web Vitals, page load times, resource timing, user sessions Datadog RUM, New Relic Browser, web-vitals library
Synthetic Monitoring Uptime, regression detection, multi-step user flows Datadog Synthetics, WebPageTest, Lighthouse CI
Session Replay Video-like recordings of user sessions for debugging Sentry Session Replay, LogRocket
Performance Budgets CI/CD gates that fail builds exceeding size or metric thresholds Lighthouse CI, Bundlesize, Size Limit

Performance Budgets deserve special mention. A performance budget is a constraint you enforce in your CI/CD pipeline — for example, "fail the build if the JavaScript bundle exceeds 200KB" or "fail if Lighthouse LCP score drops below 2.5s in the synthetic test." This shifts performance from a reactive concern (users complain → you investigate) to a proactive one (the pipeline catches regressions before they ship).

A mature Frontend SRE practice connects all these layers: a performance budget catches regressions in CI, synthetic monitoring detects issues in production immediately after deploy, RUM reveals the real-world distribution of user experience, error tracking surfaces JavaScript failures, and session replay lets you watch exactly what a user experienced when something went wrong.

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