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error-monitoring

Set up or review production error monitoring to capture unhandled errors, failed requests, and performance signals. Check event context, release labels, and alert routing so teams receive useful information when problems occur.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Use when setting up a new project's production observability stack, reviewing incident response readiness, or investigating why errors are going undetected.

설치 방법 보기

이럴 때 유용합니다

  • Setting up error monitoring for a new production app
  • Investigating errors that monitoring fails to capture
  • Reviewing critical alerts and on-call routing
  • Checking user context and release labels on error events

포함된 파일(2)

  • SKILL.md2.2 KB
  • references/rule.md7.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Integrate real-time error monitoring in production

Production errors are invisible without monitoring. Users rarely file detailed bug reports — they simply leave. Error monitoring gives you actionable stack traces, breadcrumbs, and user context within seconds of an issue occurring, cutting mean time to detect (MTTD) from days to minutes and dramatically reducing the cost of incidents.

Quick Reference

  • Install an error monitoring SDK (Sentry, Datadog, Bugsnag, etc.) early in the app entry point
  • Capture unhandled exceptions, unhandled promise rejections, and React error boundaries
  • Attach user context, release version, and environment to every event
  • Configure alert thresholds and on-call routing so critical errors page the right team
  • Capture failed network requests and production RUM signals such as Core Web Vitals

Check

Check whether an error monitoring service is configured and capturing unhandled errors, promise rejections, React/framework-level errors, failed network requests, and production Core Web Vitals signals.

Fix

Integrate an error monitoring SDK, configure environment and release tagging, capture failed network requests and RUM metrics, and set up alerts for critical error thresholds and regressions.

Explain

Explain how error monitoring services work, what signals they capture, and how error grouping reduces alert noise.

Code Review

Review the monitoring initialisation code. Flag missing user context, absent release tagging, overly broad event filters, missing network instrumentation, and any patterns that would swallow errors before they reach the monitoring service.


For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/testing/error-monitoring

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