sentry-architecture-variants
Execute sentry architecture patterns for different application types. Use when setting up Sentry for monoliths, microservices, serverless, or hybrid architectures. Trigger with phrases like "sentry monolith setup", "sentry microservices", "sentry serverless", "sentry architecture pattern".
Install
mkdir -p .claude/skills/sentry-architecture-variants && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8874" && unzip -o skill.zip -d .claude/skills/sentry-architecture-variants && rm skill.zipInstalls to .claude/skills/sentry-architecture-variants
About this skill
Sentry Architecture Variants
Overview
Choose the right Sentry SDK, project layout, and tracing strategy for each
application architecture. Every pattern below uses Sentry SDK v8 APIs —
@sentry/node, @sentry/browser, @sentry/react, @sentry/react-native,
@sentry/aws-serverless, and @sentry/google-cloud-serverless. The goal is
one coherent trace from the user's device through every backend hop, regardless
of how many runtimes or deployment targets sit in between.
Deep-dive references for each pattern: Monolith | Microservices | Serverless | Event-driven | Frontend SPA | Mobile | Hybrid | Errors
Prerequisites
- Node.js 18+ (or target platform runtime)
- Sentry organization with at least one project created at sentry.io
SENTRY_DSNavailable as an environment variable (one per Sentry project)- Application architecture documented — service inventory, deployment targets, team ownership mapped
- For distributed tracing: all inter-service transports identified (HTTP, gRPC, Kafka, SQS)
Instructions
Step 1 — Identify Your Architecture and Select SDK Packages
Map every runtime in your system to the correct Sentry SDK package and project layout.
| Architecture | SDK Package | Sentry Projects | Key Integration |
|---|---|---|---|
| Monolith | @sentry/node | 1 project, env tags | Module tags + ownership rules |
| Microservices | @sentry/node (per service) | 1 project per service | Distributed tracing via headers |
| Serverless (Lambda) | @sentry/aws-serverless | 1 per function group | Sentry.wrapHandler() + auto-flush |
| Serverless (GCP) | @sentry/google-cloud-serverless | 1 per function group | Sentry.wrapCloudEventFunction() |
| Event-driven (Kafka/SQS) | @sentry/node | 1 per consumer group | continueTrace() from message headers |
| Frontend SPA | @sentry/browser or @sentry/react | 1 frontend project | browserTracingIntegration() |
| Mobile (React Native) | @sentry/react-native | 1 mobile project | Native crash reporting + JS errors |
| Hybrid | Mix of above | 1 per deployment target | Cross-platform trace correlation |
Install the SDK for your architecture:
# Monolith / Microservices / Event-driven
npm install @sentry/node @sentry/profiling-node
# Serverless — AWS Lambda
npm install @sentry/aws-serverless
# Serverless — Google Cloud Functions
npm install @sentry/google-cloud-serverless
# Frontend SPA (React)
npm install @sentry/react
# Mobile — React Native
npx @sentry/wizard@latest -i reactNative
Step 2 — Initialize Sentry for Each Architecture Pattern
Monolith — Single Project, Module Tags
One DSN, one project. Separate concerns with module tags and team ownership rules.
// instrument.mjs — load via: node --import ./instrument.mjs app.js
import * as Sentry from '@sentry/node';
Sentry.init({
dsn: process.env.SENTRY_DSN,
environment: process.env.NODE_ENV,
release: process.env.APP_VERSION,
tracesSampleRate: 0.1,
initialScope: { tags: { app: 'monolith' } },
});
// Tag errors by module so each team sees only their issues
function captureModuleError(module: string, error: Error) {
Sentry.withScope((scope) => {
scope.setTag('module', module);
scope.setTag('team', getTeamForModule(module));
Sentry.captureException(error);
});
}
// Module-based breadcrumbs for traceability
Sentry.addBreadcrumb({ category: 'auth', message: 'Login attempt', level: 'info' });
captureModuleError('auth', new Error('Token expired'));
// Dashboard ownership: tags.module:auth → #platform-team
Microservices — Project-per-Service, Distributed Tracing
Each service gets its own Sentry project. A shared config package keeps init consistent.
// packages/sentry-config/index.ts — shared across all services
import * as Sentry from '@sentry/node';
export function initServiceSentry(serviceName: string) {
Sentry.init({
dsn: process.env.SENTRY_DSN,
environment: process.env.NODE_ENV,
release: `${serviceName}@${process.env.APP_VERSION}`,
serverName: serviceName,
tracesSampleRate: 0.1,
sendDefaultPii: false,
initialScope: {
tags: {
service: serviceName,
cluster: process.env.K8S_CLUSTER || 'default',
namespace: process.env.K8S_NAMESPACE || 'default',
},
},
});
}
// Usage: initServiceSentry('api-gateway');
HTTP tracing works automatically — SDK v8 propagates sentry-trace and baggage headers on all outbound HTTP requests. For service mesh (Istio/Linkerd), headers pass through transparently. For non-HTTP transports (gRPC, message queues), see event-driven pattern below and microservices deep-dive.
Serverless — Lambda and Cloud Functions
Serverless SDKs wrap your handler to auto-capture errors and flush events before the runtime freezes.
// AWS Lambda — handler.ts
import * as Sentry from '@sentry/aws-serverless';
Sentry.init({
dsn: process.env.SENTRY_DSN,
environment: process.env.STAGE,
tracesSampleRate: 0.1,
});
export const handler = Sentry.wrapHandler(async (event, context) => {
Sentry.setTag('function', context.functionName);
Sentry.setTag('region', process.env.AWS_REGION);
// Track cold starts
const isColdStart = !global.__sentryWarm;
global.__sentryWarm = true;
Sentry.setTag('cold_start', String(isColdStart));
const result = await processRequest(event);
return { statusCode: 200, body: JSON.stringify(result) };
});
// wrapHandler auto-calls flush() — do NOT call it yourself (double-flush causes timeout)
// Google Cloud Functions — index.ts
import * as Sentry from '@sentry/google-cloud-serverless';
Sentry.init({ dsn: process.env.SENTRY_DSN, tracesSampleRate: 0.1 });
export const httpHandler = Sentry.wrapHttpFunction(async (req, res) => {
res.json(await processRequest(req.body));
});
export const eventHandler = Sentry.wrapCloudEventFunction(async (event) => {
await processEvent(event.data);
});
Event-Driven — Kafka, SQS, and Message Queues
Propagate trace context through message headers so consumer spans connect to producer traces.
import * as Sentry from '@sentry/node';
// Producer: embed trace context in message headers
async function publishToKafka(topic: string, payload: object) {
const activeSpan = Sentry.getActiveSpan();
const headers: Record<string, string> = {};
if (activeSpan) {
headers['sentry-trace'] = Sentry.spanToTraceHeader(activeSpan);
headers['baggage'] = Sentry.spanToBaggageHeader(activeSpan) || '';
}
await Sentry.startSpan(
{ name: `kafka.produce.${topic}`, op: 'queue.publish' },
() => kafka.send({ topic, messages: [{ value: JSON.stringify(payload), headers }] })
);
}
// Consumer: continue the producer's trace
async function consumeFromKafka(message: KafkaMessage) {
const headers = message.headers || {};
Sentry.continueTrace(
{
sentryTrace: headers['sentry-trace']?.toString(), // Buffer → string
baggage: headers['baggage']?.toString(),
},
() => {
Sentry.startSpan(
{ name: `kafka.consume.${message.topic}`, op: 'queue.process' },
async (span) => {
try {
await processMessage(message);
span.setStatus({ code: 1 });
} catch (error) {
span.setStatus({ code: 2, message: 'consumer_error' });
Sentry.captureException(error);
throw error;
}
}
);
}
);
}
For SQS consumers on Lambda, see event-driven deep-dive.
Frontend SPA — Browser and React
import * as Sentry from '@sentry/react';
Sentry.init({
dsn: process.env.REACT_APP_SENTRY_DSN,
release: process.env.REACT_APP_VERSION,
tracesSampleRate: 0.1,
replaysOnErrorSampleRate: 1.0,
integrations: [
Sentry.browserTracingIntegration(),
Sentry.replayIntegration({ maskAllText: true, blockAllMedia: true }),
],
// Must match your API domain or frontend-to-backend traces break
tracePropagationTargets: ['localhost', /^https:\/\/api\.yourapp\.com/],
});
Route-based transactions, error boundaries, and session replay configuration: see frontend SPA deep-dive.
Mobile — React Native
import * as Sentry from '@sentry/react-native';
Sentry.init({
dsn: process.env.SENTRY_DSN,
tracesSampleRate: 0.2,
integrations: [
Sentry.reactNativeTracingIntegration({
routingInstrumentation: Sentry.reactNavigationIntegration(),
}),
],
tracePropagationTargets: [/^https:\/\/api\.yourapp\.com/],
enableNativeCrashHandling: true,
attachScreenshot: true,
attachViewHierarchy: true,
});
export default Sentry.wrap(App);
// Upload source maps + dSYMs in CI — see mobile deep-dive
Full navigation instrumentation and CI upload commands: see mobile deep-dive.
Step 3 — Wire Up Hybrid and Cross-Platform Tracing
For systems that span multiple architectures, connect traces end-to-end. The trace flow for a typical hybrid system:
@sentry/reactcreates a transaction on user click- Browser SDK adds
sentry-trace+baggageheaders tofetch() - API gateway (
@sentry/node) auto-continues the trace - API gateway calls payment-service — headers propagate via HTTP
- payment-service publishes to Kafka — headers injected manually (see event-driven pattern)
- Worker (
@sentry/node) continues trace from Kafka headers
Result: single trace ID visible across all services in Sentry Trace View. Backend-to-frontend correlation requires `trac
Content truncated.
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