← ClaudeAtlas

sentrylisted

Sentry error monitoring and performance tracing patterns for Next.js applications.
LiChangZheng10086/doyin_ai_video · ★ 15 · AI & Automation · score 63
Install: claude install-skill LiChangZheng10086/doyin_ai_video
# Sentry Integration Guidelines for using Sentry for error monitoring and performance tracing. ## Exception Catching Use `Sentry.captureException(error)` in try/catch blocks: ```javascript try { await riskyOperation(); } catch (error) { Sentry.captureException(error); throw error; } ``` ## Performance Tracing Create spans for meaningful actions like button clicks, API calls, and function calls. ### UI Actions ```javascript function handleClick() { Sentry.startSpan( { op: "ui.click", name: "Submit Form" }, (span) => { span.setAttribute("formId", formId); submitForm(); } ); } ``` ### API Calls ```javascript async function fetchData(id) { return Sentry.startSpan( { op: "http.client", name: `GET /api/items/${id}` }, async () => { const response = await fetch(`/api/items/${id}`); return response.json(); } ); } ``` ## Configuration (Next.js) Sentry initialization files: - `sentry.client.config.ts` - Client-side - `sentry.server.config.ts` - Server-side - `sentry.edge.config.ts` - Edge runtime Import with `import * as Sentry from "@sentry/nextjs"` - no need to initialize in other files. ### Basic Setup ```javascript import * as Sentry from "@sentry/nextjs"; Sentry.init({ dsn: process.env.NEXT_PUBLIC_SENTRY_DSN, enableLogs: true, }); ``` ### With Console Logging ```javascript Sentry.init({ dsn: process.env.NEXT_PUBLIC_SENTRY_DSN, integrations: [ Sentry.consoleLoggingIntegration({ levels: ["log