🧠 Logger Mon – Real-Time Intelligent Log Monitoring SDK

Logger Mon is a lightweight, zero-dependency JavaScript middleware designed to capture and stream client-side logs in real time to a centralized server using secure WebSocket. Built for performance-focused teams, Logger Mon not only enriches each log with detailed metadata but also empowers AI/ML-based anomaly detection and insights generation — all accessible via your personalized dashboard.

🚀 Features

• 🔁 Real-Time Log Streaming – Instantly forward logs to your backend via WebSocket.
• 🧠 AI/ML Anomaly Detection – Detect unusual patterns and potential threats automatically.
• 🏷️ Rich Metadata – Add context like route, session ID, timestamp, and environment to each log.
• ⚡ Zero Dependencies – Simple, fast, and feather-light.
• 🔒 Secure Logging – Powered by API key-based authentication.
• 📊 Dashboard Insights – Visualizations, filters, and detailed views in your project dashboard.
• 🤖 LLM-Compatible – Enables chatbot-based log interpretation for faster debugging.

📦 Installation

npm install logger-mon

⚙️ Prerequisites

• A running Node.js project
• A .env file with your API key and backend WebSocket URL
• An account at our Website

🔑 Getting Your API Key

1. Go to Website
2. Sign up or log in.
3. Navigate to the Projects section.
4. Click Create Project and copy your API Key .

🚀 Usage Example

Express Integration

// app.js
require('dotenv').config();
const express = require('express');
const logger = require('logger-mon');

const app = express();

app.use(
  logger({
    apiKey: process.env.LOGGER_API_KEY
  })
);

app.get('/', (req, res) => res.send('Logger-Mon is active'));

app.listen(3000, () => console.log('Server running on port 3000'));

📡 Log Transmission & Insights

Every log is tagged with its API key and workspace context before being securely streamed to the Logger-Mon backend . Once received:

• Logs are passed to Logger-Mon backend and stored against the corresponding workspace.
• They are parsed and analyzed in real-time.
• AI/ML models perform anomaly detection.
• GROQ-based processing generates powerful insights.
• All insights and logs are viewable on your project’s dashboard at https://logger-mon.vercel.app, offering advanced filters, charts, and exploration tools.

🖼️ Dashboard & Analysis Screenshots

Below are example screenshots from the Logger-Mon dashboard:

Example:

![Dashboard Overview](https://github.com/jadavkeshav/log-management/blob/main/logger-middleware/image/Readme/1745908825394.png)

![Log Stream View](https://github.com/jadavkeshav/log-management/raw/main/logger-middleware/image/Readme/1745908902421.png)

🔒 Security Considerations

• Always keep your API key private.
• Rotate keys periodically for added protection.
• Server-side validation ensures data integrity.

❓ Support & Contribution

For issues, feature requests, or contributions:

• GitHub : Click here to view github
• Docs : Click here to view docs

📜 License

This project is currently proprietary and does not use an open-source license. Please contact us via our GitHub for usage terms or collaboration opportunities.

Seamlessly capture and stream logs to your backend. Empower your team with AI-powered monitoring. Unlock insights. Reduce downtime. Elevate visibility. Choose Logger Mon .