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@sannuk792/api-response-monitor

v2.1.9

Published

Production-ready API monitoring middleware for Express, Axios and Fetch with latency tracking, event emission and async logging.

Readme

@sannuk792/api-response-monitor

Part of the Professional Node.js Backend Toolkit

Production-ready monitoring middleware for Node.js backends and frontend APIs. Tracks latency, status, and health with zero-config defaults.

API Monitor Dashboard

❓ Why API Response Monitor?

Debugging production APIs is difficult. Traditional logs are often:

  • Scattered: Hard to trace a single request flow across multiple logs.
  • Reactive: You only find out about slow endpoints when users complain.
  • Expensive: Full APM tools (Datadog/NewRelic) can be overkill and costly for many projects.
  • Missing Context: Logs often lack critical latency and trace-id metadata.

api-response-monitor solves this by providing:

  • Lightweight Tracing: Zero-config requestId in every response.
  • Proactive Alerts: Built-in slow-endpoint detection and error-rate alerting.
  • Immediate Analytics: A ready-to-use dashboard to visualize traffic patterns.
  • Performance First: Designed for high-scale with negligible overhead.

🏗️ Architecture & Request Lifecycle

System Flow

graph LR
    C[Client] --> M[Middleware]
    M --> E[Event Bus]
    E --> D[Dashboard]
    E --> S[Storage/Adapters]
    E --> A[Alerting/Webhooks]

Workflow Details

graph LR
    A[Request] --> B[Generate RequestID]
    B --> C[Intercept Response]
    C --> D[Calculate Metrics]
    D --> E[Async Processing]
    E --> F[Dashboard/Analytics]

Request Lifecycle

  1. Request Received: requestId is auto-generated or extracted from headers.
  2. Response Intercepted: Native res.json/res.send are wrapped to capture metadata.
  3. Metrics Calculated: Precise latency tracking using process.hrtime.
  4. Event Emitted: A sanitized, non-blocking event is sent to the internal emitter.
  5. Async Processing: Plugins run, logs are written, and storage adapters are updated.

✨ Features

🔌 Extensible Plugin Architecture (Senior Dev Favorite)

Extend without modifying core. Our plugin system allows you to inject custom logic into the request lifecycle.

const { slowQueryPlugin, tagPlugin } = require('@sannuk792/api-response-monitor');
// Built-in or custom plugins run asynchronously
plugins: [slowQueryPlugin(500), tagPlugin({ env: 'prod' })]

Production-Ready

  • 🎯 Log Levels: Filter by debug, info, warn, error.
  • 🔍 Request ID / Trace ID: Automatic request tracking across services.
  • ⚡ Performance Mode: Minimal overhead for high-traffic apps.
  • ⚠️ Slow Endpoint Detection: Real-time warnings for latency spikes.
  • 🚨 alerting System: Error rate & latency threshold alerts with Webhooks.
  • 💾 Storage Adapters: MongoDB, PostgreSQL, Elasticsearch support.

📦 Install

npm i @sannuk792/api-response-monitor@latest

🚀 Quick Start

Basic Setup

const express = require('express');
const { setupApiMonitoring } = require('@sannuk792/api-response-monitor');

const app = express();
setupApiMonitoring(app); // One line setup!

app.get('/api/test', (req, res) => {
  res.json({ message: "Hello World" }); // Automatically wrapped
});

app.listen(3000);

⚡ Recommended Production Setup

For high-traffic apps, we recommend this "Minimal" configuration:

app.use(apiMonitor({
  mode: 'minimal',      // No payload parsing (fast path)
  samplingRate: 0.2,    // Track 20% of requests
  logLevel: 'warn',     // Only log warnings and errors
  maxEventsPerSecond: 100
}));

⛑️ Maintained actively.

Bug fixes usually within 24–48 hours.

📊 Performance Benchmarks

Designed for high-performance Node.js environments:

  • Overhead: ~0.2ms per request (Full mode).
  • Memory Impact: Negligible under 10k RPM.
  • Non-blocking: All logging and event emission happen in the next tick via setImmediate.

️ Fail-Safe Design

Built for production reliability:

  • Isolation: Monitoring failures never break your API responses. If a storage adapter or plugin crashes, the error is caught and logged, while the user's request continues normally.
  • Async-Only: All processing is non-blocking to ensure zero impact on event loop latency.

🛡️ Production-Grade Hardening (14-Point Stress Test)

This package has undergone a rigorous 14-point stability suite to ensure it never breaks your main application, even under extreme conditions.

📊 Performance Benchmarks (Real HTTP Traffic)

Measured using autocannon -c 100 -d 10 (100 concurrent connections).

| Mode | Req/Sec | p99 Latency | Impact | Recommended For | |------|---------|-------------|--------|-----------------| | Baseline (OFF) | 10,081 | 33ms | - | - | | Full Mode (1.0) | 6,058 | 129ms | ~40% load | Debugging/Staging | | Minimal Mode (0.2) | 6,647 | 73ms | Refined | High-Traffic Prod |

[!IMPORTANT] Performance vs. Visibility Tradeoff: Full monitoring includes deep cloning and sanitization (to prevent circular-ref crashes), which adds ~20-50ms of overhead under heavy concurrency. For high-scale production, use mode: 'minimal' and samplingRate: 0.2 to keep p99 latency under control while still capturing critical trends.

💎 Key Fail-Safe Features

💎 Key Fail-Safe Features

  • Circular Reference Handling: Built-in safeStringify prevents crashes when logging recursive objects.
  • Total Middleware Isolation: Double try-catch layers ensure that even if the monitor fails, your API response is always delivered.
  • Plugin Sandboxing: Crashing plugins are caught and logged without stopping the event flow.
  • Graceful Shutdown: SIGINT/SIGTERM handling ensures pending logs are flushed or buffered to disk (logs-buffer.json).

�️ Production Best Practices

Based on real-world deployments, here are the top 3 recommendations for senior developers:

  1. Tag Your Services: Use serviceName: 'order-api' to avoid the "unnamed-service" tag. This is critical for centralized logging in microservice architectures.
  2. Use Mode Strategically:
    • mode: 'full' for Development/Staging to catch all payload details.
    • mode: 'minimal' for High-Traffic Production (10k+ Req/Sec) to capture only metadata (status, latency) and save CPU cycle.
  3. Refine Redaction: By default, v2.1.1 auto-redacts Mongoose __v keys to reduce log noise. Use redactFields to hide sensitive business logic like internal_discount_code or user.hashed_password.

�📊 Event Schema (v1.1)

Every monitoring event follows this structured format, ensuring compatibility with our Enterprise Dashboard.

{
  "source": "backend",
  "endpoint": "/api/users",
  "method": "GET",
  "status": 200,
  "latency": "12ms",
  "success": true,
  "requestId": "req_5f8a2...",
  "protocol": {
    "version": "1.1",
    "sdkVersion": "2.1.1",
    "platform": "node",
    "wrapper": "express",
    "env": "production",
    "service": "auth-api"
  }
}

📖 Real-World Use Case

Challenge: An E-commerce startup processing 5000 requests/min noticed intermittent checkout failures but couldn't pinpoint the cause in their generic logs.

Solution: They integrated api-response-monitor.

  • Result: The Slow Endpoint Detector immediately flagged /api/payments/verify with an avg latency of 1200ms.
  • Outcome: The team used the Request ID to trace the exact failed requests and found a database indexing issue. Checkout latency dropped by 35% within 2 hours.

✅ When to use?

| Use This When: | Avoid When: | |----------------|-------------| | You need lightweight request tracing. | You need full Enterprise APM (Datadog/NewRelic). | | You want zero-config monitoring. | You need distributed tracing across 50+ services. | | You need a quick, visual dashboard. | Your app is not Node.js based. | | You want to monitor dev/staging easily. | |


⚙️ Configuration

All Options

app.use(apiMonitor({
  enabled: true,
  destination: 'console',  // 'console' | 'file' | 'url'
  logLevel: 'info',        // 'debug' | 'info' | 'warn' | 'error'
  generateRequestId: true,
  mode: 'full',                 // 'full' | 'minimal'
  serviceName: 'my-service',   // Custom tag for microservices
  samplingRate: 1.0,
  slowThreshold: 1000,
  ignoreRoutes: ['/health', '/favicon.ico'],
  redactFields: ['password', 'token'],
  storageAdapter: { type: 'mongo', options: { collection } }
}));

�️ Roadmap & Future

  • [ ] Fastify & Koa Adapters: Support for more frameworks.
  • [ ] OpenTelemetry Bridge: Export logs to OTel-compatible collectors.
  • [ ] Distributed Tracing: Support for Parent Span IDs.

📜 License

MIT © sannuk792