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sentry-architecture-variants

Provides Sentry configuration patterns for distributed tracing and error monitoring across diverse tech stacks.

Install

mkdir -p .claude/skills/sentry-architecture-variants && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8874" && unzip -o skill.zip -d .claude/skills/sentry-architecture-variants && rm skill.zip

Installs to .claude/skills/sentry-architecture-variants

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Configure Sentry error tracking and performance monitoring for different
72 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Map application runtimes to specific Sentry SDK packages
  • Configure distributed tracing headers for inter-service communication
  • Implement project-per-service layouts for microservices
  • Wrap serverless handlers for automatic flush and error capture
  • Apply module tags and ownership rules for monolithic architectures

How it works

The skill maps specific application runtimes to corresponding Sentry SDK packages and initializes them with architecture-specific integrations like wrapHandler for serverless or browserTracingIntegration for SPAs. It ensures distributed tracing by propagating sentry-trace and baggage headers across backend hops.

Inputs & outputs

You give it
Application architecture type and runtime environment
You get back
Initialized Sentry SDK configuration with tracing enabled

When to use sentry-architecture-variants

  • Set up Sentry for monolithic applications
  • Configure distributed tracing for microservices
  • Monitor serverless functions
  • Integrate Sentry in mobile or SPA environments

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_DSN available 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.

ArchitectureSDK PackageSentry ProjectsKey Integration
Monolith@sentry/node1 project, env tagsModule tags + ownership rules
Microservices@sentry/node (per service)1 project per serviceDistributed tracing via headers
Serverless (Lambda)@sentry/aws-serverless1 per function groupSentry.wrapHandler() + auto-flush
Serverless (GCP)@sentry/google-cloud-serverless1 per function groupSentry.wrapCloudEventFunction()
Event-driven (Kafka/SQS)@sentry/node1 per consumer groupcontinueTrace() from message headers
Frontend SPA@sentry/browser or @sentry/react1 frontend projectbrowserTracingIntegration()
Mobile (React Native)@sentry/react-native1 mobile projectNative crash reporting + JS errors
HybridMix of above1 per deployment targetCross-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:

  1. @sentry/react creates a transaction on user click
  2. Browser SDK adds sentry-trace + baggage headers to fetch()
  3. API gateway (@sentry/node) auto-continues the trace
  4. API gateway calls payment-service — headers propagate via HTTP
  5. payment-service publishes to Kafka — headers injected manually (see event-driven pattern)
  6. 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.

When not to use it

  • When application runtimes are not supported by Sentry SDK v8
  • When service inventory and deployment targets are not documented

Prerequisites

Node.js 18+Sentry organization with at least one projectSENTRY_DSN environment variableDocumented application architecture

Limitations

  • Requires manual identification of all inter-service transports
  • Requires one DSN per Sentry project

How it compares

Unlike manual SDK installation, this approach standardizes project layouts and tracing strategies based on the specific architectural pattern.

Compared to similar skills

sentry-architecture-variants side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
sentry-architecture-variants (this skill)027dReviewIntermediate
worker-benchmarks32moReviewAdvanced
sentry-rate-limits127dCautionIntermediate
optimizing-performance12moReviewIntermediate

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