Sentry error monitoring and performance tracing patterns for Next.js applications.
72
60%
Does it follow best practices?
Impact
91%
1.44xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/sentry/SKILL.mdGuidelines for using Sentry for error monitoring and performance tracing.
Use Sentry.captureException(error) in try/catch blocks:
try {
await riskyOperation();
} catch (error) {
Sentry.captureException(error);
throw error;
}Create spans for meaningful actions like button clicks, API calls, and function calls.
function handleClick() {
Sentry.startSpan(
{ op: "ui.click", name: "Submit Form" },
(span) => {
span.setAttribute("formId", formId);
submitForm();
}
);
}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();
}
);
}Sentry initialization files:
sentry.client.config.ts - Client-sidesentry.server.config.ts - Server-sidesentry.edge.config.ts - Edge runtimeImport with import * as Sentry from "@sentry/nextjs" - no need to initialize in other files.
import * as Sentry from "@sentry/nextjs";
Sentry.init({
dsn: process.env.NEXT_PUBLIC_SENTRY_DSN,
enableLogs: true,
});Sentry.init({
dsn: process.env.NEXT_PUBLIC_SENTRY_DSN,
integrations: [
Sentry.consoleLoggingIntegration({ levels: ["log", "warn", "error"] }),
],
});Use logger.fmt for template literals with variables:
const { logger } = Sentry;
logger.trace("Starting connection", { database: "users" });
logger.debug(logger.fmt`Cache miss for: ${userId}`);
logger.info("Updated profile", { profileId: 345 });
logger.warn("Rate limit reached", { endpoint: "/api/data" });
logger.error("Payment failed", { orderId: "order_123" });
logger.fatal("Connection pool exhausted", { activeConnections: 100 });1a9819e
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