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Sentry Node Sdk

  • 2.6k installs
  • 243 repo stars
  • Updated July 27, 2026
  • getsentry/sentry-for-ai

sentry-node-sdk is a Sentry skill for Node.js, Bun, and Deno error monitoring, tracing, logs, crons, and AI monitoring setup.

About

Sentry Node.js, Bun, and Deno SDK is an opinionated setup wizard for server-side JavaScript and TypeScript runtimes covering error monitoring, tracing, logging, profiling, crons, metrics, and AI monitoring. Phase one detects runtime, framework packages, module system, existing instrument files, logging libraries, cron schedulers, AI libraries, and OpenTelemetry usage via package.json and filesystem scans. Phase two recommends concrete features instead of open-ended questions, choosing @sentry/node, @sentry/bun, or @sentry/deno with ESM --import instrument.mjs or CJS require patterns. Framework-specific handlers cover Express, Fastify, Koa, Hapi, Connect, Bun.serve, and Deno.serve, with cross-links to NestJS and Next.js sibling skills when detected. The skill merges into existing instrument files rather than overwriting, routes OpenTelemetry users to OTLP integration, and suggests Sentry Logs when winston or pino is present. Crons monitoring activates when node-cron, bull, or similar schedulers appear; AI monitoring when OpenAI, Anthropic, or LangChain packages are found. Disable-model-invocation metadata marks it as a guided SDK setup skill under the sentry-sdk-setup parent tree.

  • Detect runtime, framework, ESM versus CJS, and existing Sentry packages.
  • Instrument.js merge instead of overwrite for existing setups.
  • Express, Fastify, Koa, Bun.serve, and Deno.serve handler wiring.
  • Optional logs, crons, profiling, metrics, and AI monitoring features.
  • OpenTelemetry OTLP path when native tracing already exists.

Sentry Node Sdk by the numbers

  • 2,624 all-time installs (skills.sh)
  • +53 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #63 of 1,453 DevOps & CI/CD skills by installs in the Skillselion catalog
  • Security screen: HIGH risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

sentry-node-sdk capabilities & compatibility

Capabilities
runtime and framework detection phase · sdk install and instrument file setup · framework specific error handler registration · logs crons profiling and ai feature recommendati · opentelemetry otlp integration path · companion frontend cross link detection
Works with
sentry · openai · anthropic
Use cases
devops · api development
Pricing
Freemium
From the docs

What sentry-node-sdk says it does

Merge into it rather than overwrite
SKILL.md
npx skills add https://github.com/getsentry/sentry-for-ai --skill sentry-node-sdk

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Listed on Skillselion
Installs2.6k
repo stars243
Security audit3 / 3 scanners passed
Last updatedJuly 27, 2026
Repositorygetsentry/sentry-for-ai

How do I add Sentry to a Node, Bun, or Deno backend with the right instrument preload and framework handlers?

Add Sentry error monitoring, tracing, logging, profiling, crons, and AI monitoring to Node.js, Bun, or Deno backends.

Who is it for?

Backend developers adding Sentry to Express, Fastify, Bun.serve, or Deno.serve applications.

Skip if: Skip for NestJS-specific setup or Next.js three-runtime apps; use sibling Sentry skills instead.

When should I use this skill?

User asks to add Sentry to Node.js, Bun, Deno, or configure instrument.js and tracing.

What you get

Installed SDK, instrument file, framework error handlers, and enabled monitoring features matched to the stack.

  • Configured Sentry SDK initialization
  • Error monitoring and tracing instrumentation

By the numbers

  • Supports 3 server runtimes: Node.js, Bun, and Deno
  • Configures 7 observability areas: errors, tracing, logging, profiling, metrics, crons, and AI monitoring

Files

SKILL.mdMarkdownGitHub ↗
All Skills > SDK Setup > Node.js / Bun / Deno SDK

Sentry Node.js / Bun / Deno SDK

Opinionated wizard that scans your project and guides you through complete Sentry setup for server-side JavaScript and TypeScript runtimes: Node.js, Bun, and Deno.

Invoke This Skill When

  • User asks to "add Sentry to Node.js", "Bun", or "Deno"
  • User wants to install or configure @sentry/node, @sentry/bun, or @sentry/deno
  • User wants error monitoring, tracing, logging, profiling, crons, metrics, or AI monitoring for a backend JS/TS app
  • User asks about instrument.js, --import ./instrument.mjs, bun --preload, or npm:@sentry/deno
  • User wants to monitor Express, Fastify, Koa, Hapi, Connect, Bun.serve(), or Deno.serve()
NestJS? Use `sentry-nestjs-sdk` instead — it uses @sentry/nestjs with NestJS-native decorators and filters.
Next.js? Use `sentry-nextjs-sdk` instead — it handles the three-runtime architecture (browser, server, edge).
Note: SDK versions below reflect current Sentry docs at time of writing (@sentry/node ≥10.42.0, @sentry/bun ≥10.42.0, @sentry/deno ≥10.42.0).
Always verify against docs.sentry.io/platforms/javascript/guides/node/ before implementing.

---

Phase 1: Detect

Run these commands to identify the runtime, framework, and existing Sentry setup:

# Detect runtime
bun --version 2>/dev/null && echo "Bun detected"
deno --version 2>/dev/null && echo "Deno detected"
node --version 2>/dev/null && echo "Node.js detected"

# Detect existing Sentry packages
cat package.json 2>/dev/null | grep -E '"@sentry/'
cat deno.json deno.jsonc 2>/dev/null | grep -i sentry

# Detect Node.js framework
cat package.json 2>/dev/null | grep -E '"express"|"fastify"|"@hapi/hapi"|"koa"|"@nestjs/core"|"connect"'

# Detect Bun-specific frameworks
cat package.json 2>/dev/null | grep -E '"elysia"|"hono"'

# Detect Deno frameworks (deno.json imports)
cat deno.json deno.jsonc 2>/dev/null | grep -E '"oak"|"hono"|"fresh"'

# Detect module system (Node.js)
cat package.json 2>/dev/null | grep '"type"'
ls *.mjs *.cjs 2>/dev/null | head -5

# Detect existing instrument file
ls instrument.js instrument.mjs instrument.ts instrument.cjs 2>/dev/null

# Detect logging libraries
cat package.json 2>/dev/null | grep -E '"winston"|"pino"|"bunyan"'

# Detect cron / scheduling
cat package.json 2>/dev/null | grep -E '"node-cron"|"cron"|"agenda"|"bull"|"bullmq"'

# Detect AI / LLM usage
cat package.json 2>/dev/null | grep -E '"openai"|"@anthropic-ai"|"@langchain"|"@vercel/ai"|"@google/generative-ai"'

# Detect OpenTelemetry tracing
cat package.json 2>/dev/null | grep -E '"@opentelemetry/sdk-node"|"@opentelemetry/sdk-trace-node"|"@opentelemetry/sdk-trace-base"'
grep -rn "NodeTracerProvider\|trace\.getTracer\|startActiveSpan" \
  --include="*.ts" --include="*.js" --include="*.mjs" 2>/dev/null | head -5

# Check for companion frontend
ls frontend/ web/ client/ ui/ 2>/dev/null
cat package.json 2>/dev/null | grep -E '"react"|"vue"|"svelte"|"next"'

What to determine:

QuestionImpact
Which runtime? (Node.js / Bun / Deno)Determines package, init pattern, and preload flag
Node.js: ESM or CJS?ESM requires --import ./instrument.mjs; CJS uses require("./instrument")
Framework detected?Determines which error handler to register
@sentry/* already installed?Skip install, go straight to feature config
instrument.js / instrument.mjs already exists?Merge into it rather than overwrite
Logging library detected?Recommend Sentry Logs
Cron / job scheduler detected?Recommend Crons monitoring
AI library detected?Recommend AI Monitoring
OpenTelemetry tracing detected?Use OTLP path instead of native tracing
Companion frontend found?Trigger Phase 4 cross-link

---

Phase 2: Recommend

Present a concrete recommendation based on what you found. Don't ask open-ended questions — lead with a proposal:

Route from OTel detection:

  • OTel tracing detected (@opentelemetry/sdk-node or @opentelemetry/sdk-trace-node in package.json, or NodeTracerProvider in source) → use OTLP path: otlpIntegration() via @sentry/node-core/light; do not set tracesSampleRate; Sentry links errors to OTel traces automatically

Recommended (core coverage):

  • Error Monitoring — always; captures unhandled exceptions, promise rejections, and framework errors
  • Tracing — automatic HTTP, DB, and queue instrumentation via OpenTelemetry

Optional (enhanced observability):

  • Logging — structured logs via Sentry.logger.*; recommend when winston/pino/bunyan or log search is needed
  • Profiling — continuous CPU profiling (Node.js only; not available on Bun or Deno); not available with OTLP path
  • AI Monitoring — OpenAI, Anthropic, LangChain, Vercel AI SDK; recommend when AI/LLM calls detected
  • Crons — detect missed or failed scheduled jobs; recommend when node-cron, Bull, or Agenda is detected
  • Metrics — custom counters, gauges, distributions; recommend when custom KPIs needed
  • Runtime Metrics — automatic collection of memory, CPU, and event loop metrics; nodeRuntimeMetricsIntegration() (Node.js) / bunRuntimeMetricsIntegration() (Bun)

Recommendation logic:

FeatureRecommend when...
Error MonitoringAlways — non-negotiable baseline
OTLP IntegrationOTel tracing detected — replaces native Tracing
TracingAlways for server apps — HTTP spans + DB spans are high-value; skip if OTel tracing detected
LoggingApp uses winston, pino, bunyan, or needs log-to-trace correlation
ProfilingNode.js only — performance-critical service; native addon compatible; skip if OTel tracing detected (requires tracesSampleRate, incompatible with OTLP)
AI MonitoringApp calls OpenAI, Anthropic, LangChain, Vercel AI, or Google GenAI
CronsApp uses node-cron, Bull, BullMQ, Agenda, or any scheduled task pattern
MetricsApp needs custom counters, gauges, or histograms
Runtime MetricsAny Node.js or Bun service wanting automatic memory/CPU/event-loop visibility

OTel tracing detected: "I see OpenTelemetry tracing in the project. I recommend Sentry's OTLP integration for tracing (via your existing OTel setup) + Error Monitoring + Sentry Logging [+ Metrics/Crons/AI Monitoring if applicable]. Shall I proceed?"

No OTel: "I recommend setting up Error Monitoring + Tracing. Want me to also add Logging or Profiling?"

---

Phase 3: Guide

Runtime: Node.js

Option 1: Wizard (Recommended for Node.js)
You need to run this yourself — the wizard opens a browser for login and requires interactive input that the agent can't handle. Copy-paste into your terminal:

>

```
npx @sentry/wizard@latest -i node
```

>

It handles login, org/project selection, SDK installation, instrument.js creation, and package.json script updates.

>

Once it finishes, come back and skip to [Verification](#verification).

If the user skips the wizard, proceed with Option 2 (Manual Setup) below.

---

Option 2: Manual Setup — Node.js
Install
npm install @sentry/node --save
# or
yarn add @sentry/node
# or
pnpm add @sentry/node
Create the Instrument File

CommonJS (`instrument.js`):

// instrument.js — must be loaded before all other modules
const Sentry = require("@sentry/node");

Sentry.init({
  dsn: process.env.SENTRY_DSN ?? "___DSN___",

  sendDefaultPii: true,

  // 100% in dev, lower in production
  tracesSampleRate: process.env.NODE_ENV === "development" ? 1.0 : 0.1,

  // Capture local variable values in stack frames
  includeLocalVariables: true,

  enableLogs: true,
});

ESM (`instrument.mjs`):

// instrument.mjs — loaded via --import flag before any other module
import * as Sentry from "@sentry/node";

Sentry.init({
  dsn: process.env.SENTRY_DSN ?? "___DSN___",

  sendDefaultPii: true,
  tracesSampleRate: process.env.NODE_ENV === "development" ? 1.0 : 0.1,
  includeLocalVariables: true,
  enableLogs: true,
});
Start Your App with Sentry Loaded First

CommonJS — add require("./instrument") as the very first line of your entry file:

// app.js
require("./instrument"); // must be first

const express = require("express");
// ... rest of your app

ESM — use the --import flag so Sentry loads before all other modules (Node.js 18.19.0+ required):

node --import ./instrument.mjs app.mjs

Add to package.json scripts:

{
  "scripts": {
    "start": "node --import ./instrument.mjs server.mjs",
    "dev": "node --import ./instrument.mjs --watch server.mjs"
  }
}

Or via environment variable (useful for wrapping existing start commands):

NODE_OPTIONS="--import ./instrument.mjs" npm start
Framework Error Handlers

Register the Sentry error handler after all routes so it can capture framework errors:

Express:

const express = require("express");
const Sentry = require("@sentry/node");

const app = express();

// ... your routes

// Add AFTER all routes — captures 5xx errors by default
Sentry.setupExpressErrorHandler(app);

// Optional: capture 4xx errors too
// Sentry.setupExpressErrorHandler(app, {
//   shouldHandleError(error) { return error.status >= 400; },
// });

app.listen(3000);

Fastify:

const Fastify = require("fastify");
const Sentry = require("@sentry/node");

const fastify = Fastify();

// Add BEFORE routes (unlike Express!)
Sentry.setupFastifyErrorHandler(fastify);

// ... your routes

await fastify.listen({ port: 3000 });

Koa:

const Koa = require("koa");
const Sentry = require("@sentry/node");

const app = new Koa();

// Add as FIRST middleware (catches errors thrown by later middleware)
Sentry.setupKoaErrorHandler(app);

// ... your other middleware and routes

app.listen(3000);

Hapi (async — must await):

const Hapi = require("@hapi/hapi");
const Sentry = require("@sentry/node");

const server = Hapi.server({ port: 3000 });

// ... your routes

// Must await — Hapi registration is async
await Sentry.setupHapiErrorHandler(server);

await server.start();

Connect:

const connect = require("connect");
const Sentry = require("@sentry/node");

const app = connect();

// Add BEFORE routes (like Fastify and Koa)
Sentry.setupConnectErrorHandler(app);

// ... your middleware and routes

require("http").createServer(app).listen(3000);

NestJS — has its own dedicated skill with full coverage:

Use the [`sentry-nestjs-sdk`](../sentry-nestjs-sdk/SKILL.md) skill instead.
NestJS uses a separate package (@sentry/nestjs) with NestJS-native constructs:
SentryModule.forRoot(), SentryGlobalFilter, @SentryTraced, @SentryCron decorators,
and GraphQL/Microservices support. Load that skill for complete NestJS setup.

Vanilla Node.js `http` module — wrap request handler manually:

const http = require("http");
const Sentry = require("@sentry/node");

const server = http.createServer((req, res) => {
  Sentry.withIsolationScope(() => {
    try {
      // your handler
      res.end("OK");
    } catch (err) {
      Sentry.captureException(err);
      res.writeHead(500);
      res.end("Internal Server Error");
    }
  });
});

server.listen(3000);

Framework error handler summary:

FrameworkFunctionPlacementAsync?
ExpresssetupExpressErrorHandler(app)After all routesNo
FastifysetupFastifyErrorHandler(fastify)Before routesNo
KoasetupKoaErrorHandler(app)First middlewareNo
HapisetupHapiErrorHandler(server)Before server.start()Yes
ConnectsetupConnectErrorHandler(app)Before routesNo
NestJS→ Use `sentry-nestjs-sdk`Dedicated skill

---

Runtime: Bun

No wizard available for Bun. Manual setup only.
Install
bun add @sentry/bun
Create instrument.ts (or instrument.js)
// instrument.ts
import * as Sentry from "@sentry/bun";

Sentry.init({
  dsn: process.env.SENTRY_DSN ?? "___DSN___",

  sendDefaultPii: true,
  tracesSampleRate: process.env.NODE_ENV === "development" ? 1.0 : 0.1,
  enableLogs: true,
});
Start Your App with --preload
bun --preload ./instrument.ts server.ts

Add to package.json:

{
  "scripts": {
    "start": "bun --preload ./instrument.ts server.ts",
    "dev": "bun --watch --preload ./instrument.ts server.ts"
  }
}
Bun.serve() — Auto-Instrumentation

@sentry/bun automatically instruments Bun.serve() via JavaScript Proxy. No extra setup is required — just initialize with --preload and your Bun.serve() calls are traced:

// server.ts
const server = Bun.serve({
  port: 3000,
  fetch(req) {
    return new Response("Hello from Bun!");
  },
});
Framework Error Handlers on Bun

Bun can run Express, Fastify, Hono, and Elysia. Use the same @sentry/bun import and the @sentry/node error handler functions (re-exported by @sentry/bun):

import * as Sentry from "@sentry/bun";
import express from "express";

const app = express();
// ... routes
Sentry.setupExpressErrorHandler(app);
app.listen(3000);
Bun Feature Support
FeatureBun SupportNotes
Error Monitoring✅ FullSame API as Node
Tracing✅ Via @sentry/node OTelMost auto-instrumentations work
Logging✅ FullenableLogs: true + Sentry.logger.*
Profiling❌ Not available@sentry/profiling-node uses native addons incompatible with Bun
Metrics✅ FullSentry.metrics.*
Runtime Metrics✅ FullbunRuntimeMetricsIntegration() — memory, CPU, event loop (no event loop delay percentiles)
Crons✅ FullSentry.withMonitor()
AI Monitoring✅ FullOpenAI, Anthropic integrations work

---

Runtime: Deno

No wizard available for Deno. Manual setup only.
Requires Deno 2.0+. Deno 1.x is not supported.
Use `npm:` specifier. The deno.land/x/sentry registry is deprecated.
Install via deno.json (Recommended)
{
  "imports": {
    "@sentry/deno": "npm:@sentry/deno@10.42.0"
  }
}

Or import directly with the npm: specifier:

import * as Sentry from "npm:@sentry/deno";
Initialize — Add to Entry File
// main.ts — Sentry.init() must be called before any other code
import * as Sentry from "@sentry/deno";

Sentry.init({
  dsn: Deno.env.get("SENTRY_DSN") ?? "___DSN___",

  sendDefaultPii: true,
  tracesSampleRate: Deno.env.get("DENO_ENV") === "development" ? 1.0 : 0.1,
  enableLogs: true,
});

// Your application code follows
Deno.serve({ port: 8000 }, (req) => {
  return new Response("Hello from Deno!");
});
Unlike Node.js and Bun, Deno does not have a --preload or --import flag. Sentry must be the first import in your entry file.
Required Deno Permissions

The SDK requires network access to reach your Sentry ingest domain:

deno run \
  --allow-net=o<ORG_ID>.ingest.sentry.io \
  --allow-read=./src \
  --allow-env=SENTRY_DSN,SENTRY_RELEASE \
  main.ts

For development, --allow-all works but is not recommended for production.

Deno Cron Integration

Deno provides native cron scheduling. Use denoCronIntegration for automatic monitoring:

import * as Sentry from "@sentry/deno";
import { denoCronIntegration } from "@sentry/deno";

Sentry.init({
  dsn: Deno.env.get("SENTRY_DSN") ?? "___DSN___",
  integrations: [denoCronIntegration()],
});

// Cron is automatically monitored
Deno.cron("daily-cleanup", "0 0 * * *", () => {
  // cleanup logic
});
Deno Feature Support
FeatureDeno SupportNotes
Error Monitoring✅ FullUnhandled exceptions + captureException
Tracing✅ Custom OTelAutomatic spans for Deno.serve() and fetch
Logging✅ FullenableLogs: true + Sentry.logger.*
Profiling❌ Not availableNo profiling addon for Deno
Metrics✅ FullSentry.metrics.*
Runtime Metrics❌ Not availableNo runtime metrics integration for Deno
Crons✅ FulldenoCronIntegration() + Sentry.withMonitor()
AI Monitoring✅ PartialVercel AI SDK integration works; OpenAI/Anthropic via npm:

---

OTLP Integration (OTel-First Projects — Node.js Only)

Use this path only when OpenTelemetry tracing was detected in Phase 1
(e.g., @opentelemetry/sdk-node or @opentelemetry/sdk-trace-node in package.json).
For projects without an existing OTel setup, use the standard @sentry/node path above.

The OTLP integration uses @sentry/node-core/light — a lightweight Sentry SDK that does not bundle its own OpenTelemetry. Instead, it hooks into the user's existing OTel TracerProvider and exports spans to Sentry via OTLP.

When to Use
ScenarioRecommended path
New project, no existing OTelStandard @sentry/node (above) — includes built-in OTel
Existing OTel setup, want Sentry tracing@sentry/node-core/light + otlpIntegration()
Existing OTel setup, sending to own Collector@sentry/node-core/light + otlpIntegration({ collectorUrl })
Install
npm install @sentry/node-core @opentelemetry/api @opentelemetry/sdk-trace-node @opentelemetry/sdk-trace-base
# or
yarn add @sentry/node-core @opentelemetry/api @opentelemetry/sdk-trace-node @opentelemetry/sdk-trace-base
# or
pnpm add @sentry/node-core @opentelemetry/api @opentelemetry/sdk-trace-node @opentelemetry/sdk-trace-base
The @opentelemetry/* packages are peer dependencies. If the project already has them installed, skip duplicates.
Initialize
// instrument.mjs — load via --import flag before any other module
import { NodeTracerProvider } from '@opentelemetry/sdk-trace-node';
import * as Sentry from '@sentry/node-core/light';
import { otlpIntegration } from '@sentry/node-core/light/otlp';

// Register the user's OTel TracerProvider first
const provider = new NodeTracerProvider();
provider.register();

Sentry.init({
  dsn: process.env.SENTRY_DSN ?? '___DSN___',

  sendDefaultPii: true,
  enableLogs: true,

  // Do NOT set tracesSampleRate — OTel controls sampling
  integrations: [
    otlpIntegration({
      // Export OTel spans to Sentry via OTLP (default: true)
      setupOtlpTracesExporter: true,
    }),
  ],
});

With a custom Collector endpoint:

Sentry.init({
  dsn: process.env.SENTRY_DSN ?? '___DSN___',
  integrations: [
    otlpIntegration({
      collectorUrl: 'http://localhost:4318/v1/traces',
    }),
  ],
});
Start Your App

Same --import pattern as the standard Node.js setup:

node --import ./instrument.mjs app.mjs
Key Differences from Standard @sentry/node
Aspect@sentry/node (standard)@sentry/node-core/light (OTLP)
OTel bundled✅ Yes — built-in TracerProvider❌ No — uses your existing provider
Tracing controltracesSampleRate in Sentry.init()OTel SDK controls sampling
Auto-instrumentation✅ Built-in (HTTP, DB, etc.)❌ You manage OTel instrumentations
Profiling✅ Available❌ Not compatible
Error ↔ trace linking✅ Automatic✅ Automatic (via otlpIntegration)
Package sizeLarger (includes OTel)Smaller (light mode)

---

For Each Agreed Feature

Load the corresponding reference file and follow its steps:

FeatureReference fileLoad when...
Error Monitoringreferences/error-monitoring.mdAlways (baseline) — captures, scopes, enrichment, beforeSend
OTLP IntegrationSee OTLP Integration aboveOTel tracing detected — replaces native Tracing
Tracingreferences/tracing.mdOTel auto-instrumentation, custom spans, distributed tracing, sampling; skip if OTel tracing detected
Loggingreferences/logging.mdStructured logs, Sentry.logger.*, log-to-trace correlation
Profilingreferences/profiling.mdNode.js only — CPU profiling, Bun/Deno gaps documented; skip if OTel tracing detected
Metricsreferences/metrics.mdCustom counters, gauges, distributions
Runtime MetricsSee inline belowAutomatic memory, CPU, and event loop metrics for Node.js and Bun
Cronsreferences/crons.mdScheduled job monitoring, node-cron, Bull, Agenda, Deno.cron
AI MonitoringLoad sentry-setup-ai-monitoring skillOpenAI, Anthropic, LangChain, Vercel AI, Google GenAI

For each feature: read the reference file, follow its steps exactly, and verify before moving on.

Runtime Metrics

Automatically collect Node.js and Bun runtime health metrics (memory, CPU utilization, event loop delay/utilization, uptime) at a configurable interval. Metrics appear in Sentry's Metrics product under the node.runtime.* / bun.runtime.* namespace.

Node.js — add nodeRuntimeMetricsIntegration() to your instrument.js:

const Sentry = require("@sentry/node");

Sentry.init({
  dsn: process.env.SENTRY_DSN,
  integrations: [
    Sentry.nodeRuntimeMetricsIntegration(),
    // Optional: change collection interval (default 30 000 ms)
    // Sentry.nodeRuntimeMetricsIntegration({ collectionIntervalMs: 60_000 }),
  ],
});

Metrics collected by default: node.runtime.mem.rss, node.runtime.mem.heap_used, node.runtime.mem.heap_total, node.runtime.cpu.utilization, node.runtime.event_loop.delay.p50, node.runtime.event_loop.delay.p99, node.runtime.event_loop.utilization, node.runtime.process.uptime.

Bun — add bunRuntimeMetricsIntegration() to your instrument.ts:

import * as Sentry from "@sentry/bun";
import { bunRuntimeMetricsIntegration } from "@sentry/bun";

Sentry.init({
  dsn: process.env.SENTRY_DSN,
  integrations: [
    bunRuntimeMetricsIntegration(),
    // Optional: change collection interval (default 30 000 ms)
    // bunRuntimeMetricsIntegration({ collectionIntervalMs: 60_000 }),
  ],
});

Metrics collected: same as Node.js except no event loop delay percentiles (unavailable in Bun). Prefixed with bun.runtime.*.

---

Verification

After setup, verify Sentry is receiving events:

// Add temporarily to your entry file or a test route, then remove
import * as Sentry from "@sentry/node"; // or @sentry/bun / @sentry/deno

Sentry.captureException(new Error("Sentry test error — delete me"));

Or trigger an unhandled exception:

// In a route handler or startup — will be captured automatically
throw new Error("Sentry test error — delete me");

Then check your Sentry Issues dashboard — the error should appear within ~30 seconds.

Verification checklist:

CheckHow
Error capturedThrow in a handler, verify in Sentry Issues
Tracing workingCheck Performance tab — should show HTTP spans
includeLocalVariables workingStack frame in Sentry should show variable values
Source maps workingStack trace shows readable file names, not minified

---

Config Reference

Sentry.init() Core Options

OptionTypeDefaultNotes
dsnstringRequired. Also from SENTRY_DSN env var
tracesSampleRatenumber0–1; required to enable tracing; do not set when using OTLP path
sendDefaultPiibooleanfalseInclude IP, request headers, user info
includeLocalVariablesbooleanfalseAdd local variable values to stack frames (Node.js)
enableLogsbooleanfalseEnable Sentry Logs product (v9.41.0+)
environmentstring"production"Also from SENTRY_ENVIRONMENT env var
releasestringAlso from SENTRY_RELEASE env var
debugbooleanfalseLog SDK activity to console
enabledbooleantrueSet false in tests to disable sending
sampleRatenumber1.0Fraction of error events to send (0–1)
shutdownTimeoutnumber2000Milliseconds to flush events before process exit

nativeNodeFetchIntegration() Options

Configures outgoing fetch/undici span capture. Since @opentelemetry/instrumentation-undici@0.22.0, response headers like content-length are no longer captured automatically — use headersToSpanAttributes to opt in:

Sentry.init({
  integrations: [
    Sentry.nativeNodeFetchIntegration({
      headersToSpanAttributes: {
        requestHeaders: ["x-request-id"],
        responseHeaders: ["content-length", "content-type"],
      },
    }),
  ],
});
OptionTypeDefaultNotes
breadcrumbsbooleantrueRecord breadcrumbs for outgoing fetch requests
headersToSpanAttributes.requestHeadersstring[]Request header names to capture as span attributes
headersToSpanAttributes.responseHeadersstring[]Response header names to capture as span attributes

otlpIntegration() Options (@sentry/node-core/light/otlp)

For OTel-first projects using @sentry/node-core/light. Import: import { otlpIntegration } from '@sentry/node-core/light/otlp'.

OptionTypeDefaultPurpose
setupOtlpTracesExporterbooleantrueAuto-configure OTLP exporter to send spans to Sentry; set false if you already export to your own Collector
collectorUrlstringundefinedOTLP HTTP endpoint of an OTel Collector (e.g., http://localhost:4318/v1/traces); when set, spans are sent to the collector instead of the DSN-derived Sentry endpoint

Graceful Shutdown

Flush buffered events before process exit — important for short-lived scripts and serverless:

process.on("SIGTERM", async () => {
  await Sentry.close(2000); // flush with 2s timeout
  process.exit(0);
});

Environment Variables

VariablePurposeRuntime
SENTRY_DSNDSN (alternative to hardcoding in init())All
SENTRY_ENVIRONMENTDeployment environmentAll
SENTRY_RELEASERelease version string (auto-detected from git)All
SENTRY_AUTH_TOKENSource map upload tokenBuild time
SENTRY_ORGOrg slug for source map uploadBuild time
SENTRY_PROJECTProject slug for source map uploadBuild time
NODE_OPTIONSSet --import ./instrument.mjs for ESMNode.js

Source Maps (Node.js)

Readable stack traces in production require source map upload. Use @sentry/cli or the webpack/esbuild/rollup plugins:

npm install @sentry/cli --save-dev
# Create a Sentry auth token at sentry.io/settings/auth-tokens/
# Set in .env.sentry-build-plugin (gitignore this file):
SENTRY_AUTH_TOKEN=sntrys_eyJ...

Add upload step to your build:

{
  "scripts": {
    "build": "tsc && sentry-cli sourcemaps inject ./dist && sentry-cli sourcemaps upload ./dist"
  }
}

---

Phase 4: Cross-Link

After completing backend setup, check for companion services:

# Frontend companion
ls frontend/ web/ client/ ui/ 2>/dev/null
cat package.json 2>/dev/null | grep -E '"react"|"vue"|"svelte"|"next"'

# Other backend services
ls ../go.mod ../requirements.txt ../Gemfile 2>/dev/null

If a frontend, framework-specific SDK, or other backend is found, suggest the matching skill:

Dedicated JavaScript framework skills (prefer these over generic node-sdk):

DetectedPrefer skillWhy
NestJS (@nestjs/core in package.json)`sentry-nestjs-sdk`Uses @sentry/nestjs with NestJS-native decorators, filters, and GraphQL support
Next.js (next in package.json)`sentry-nextjs-sdk`Three-runtime architecture (browser, server, edge), withSentryConfig, source map upload

Frontend companions:

DetectedSuggest
React app (react in package.json)`sentry-react-sdk`
Svelte/SvelteKit`sentry-svelte-sdk`

Other backend companions:

DetectedSuggest
Go backend (go.mod)`sentry-go-sdk`
Python backend (requirements.txt, pyproject.toml)`sentry-python-sdk`
Ruby backend (Gemfile)`sentry-ruby-sdk`

Connecting frontend and backend with the same DSN or linked projects enables distributed tracing — stack traces that span your browser, API server, and database in a single trace view.

---

Troubleshooting

IssueCauseSolution
Events not appearinginstrument.js loaded too lateEnsure it's the first require() / loaded via --import or --preload
Tracing spans missingtracesSampleRate not setAdd tracesSampleRate: 1.0 to Sentry.init()
ESM instrumentation not workingMissing --import flagRun with node --import ./instrument.mjs; import "./instrument.mjs" inside app is not sufficient
@sentry/profiling-node install fails on BunNative addon incompatibleProfiling is not supported on Bun — remove @sentry/profiling-node
Deno: events not sentMissing --allow-net permissionRun with --allow-net=o<ORG_ID>.ingest.sentry.io
Deno: deno.land/x/sentry not workingDeprecated and frozen at v8.55.0Switch to npm:@sentry/deno specifier
includeLocalVariables not showing valuesIntegration not activated or minified codeEnsure includeLocalVariables: true in init; check source maps
NestJS: errors not capturedWrong SDK or missing filterUse `sentry-nestjs-sdk` — NestJS needs @sentry/nestjs, not @sentry/node
Hapi: setupHapiErrorHandler timing issueNot awaitedMust await Sentry.setupHapiErrorHandler(server) before server.start()
Shutdown: events lostProcess exits before flushAdd await Sentry.close(2000) in SIGTERM/SIGINT handler
Stack traces show minified codeSource maps not uploadedConfigure @sentry/cli source map upload in build step
No traces appearing (OTLP)Missing @opentelemetry/* packages or otlpIntegration not addedVerify @opentelemetry/sdk-trace-node is installed; add otlpIntegration() to integrations; do not set tracesSampleRate
OTLP: errors not linked to tracesotlpIntegration not registeredEnsure otlpIntegration() is in the integrations array — it registers the propagation context that links errors to OTel traces
Profiling not starting (OTLP)Profiling requires tracesSampleRateProfiling is not compatible with the OTLP path; use the standard @sentry/node setup instead

Related skills

How it compares

Use sentry-node-sdk for guided server-side Sentry setup across Node.js, Bun, and Deno; pick frontend Sentry skills for browser or React SDK integration.

FAQ

Which package for Bun versus Node?

Use @sentry/bun for Bun and @sentry/node for Node.js with runtime-appropriate preload flags.

What if instrument.js already exists?

Merge Sentry init into the existing instrument file instead of overwriting it.

When use the NestJS skill instead?

When @nestjs/core is detected, switch to sentry-nestjs-sdk for native decorators and filters.

Is Sentry Node Sdk safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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