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LTMAS (Logging, Tracking, Alerting & Monitoring Systems)

LTMAS (Logging, Tracking, Alerting & Monitoring Systems)

A comprehensive system for logging, tracking, alerting, and monitoring applications and services.

Overview

LTMAS provides a centralized platform for:

  • Logging and log aggregation
  • Request tracking and tracing
  • Alerting and notification
  • System and application monitoring
  • Performance metrics collection and visualization

Architecture

The system consists of the following components:

  • Frontend: React-based web interface
  • API Gateway: Entry point for all API requests
  • Backend: Core business logic and data processing
  • Worker: Background task processing
  • Database: PostgreSQL for data storage
  • Monitoring: Prometheus for metrics collection and Grafana for visualization
  • Logging: ELK Stack (Elasticsearch, Logstash, Kibana) for log management
  • Tracing: Jaeger for distributed tracing
  • Alerting: Alertmanager for alert routing and notification

Getting Started

Prerequisites

  • Docker and Docker Compose
  • Node.js (for local development)
  • Python 3.9+ (for local development)

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/ltmas.git
    cd ltmas
    
  2. Start the services:

    docker-compose up -d
    
  3. Access the application:

Monitoring Dashboards

LTMAS provides several pre-configured Grafana dashboards for monitoring different aspects of the system:

Database Team Dashboard

System Team Dashboard

API Team Dashboard

Business Team Dashboard

Configuration

Configuration files are located in the config directory:

  • config/prometheus.yml: Prometheus configuration
  • config/grafana/provisioning: Grafana datasources and dashboards
  • config/alertmanager.yml: Alertmanager configuration
  • config/logstash/pipeline: Logstash pipeline configuration

Development

Local Development

  1. Install dependencies:

    # Frontend
    cd frontend
    npm install
    
    # Backend
    cd backend
    pip install -r requirements.txt
    
  2. Start development servers:

    # Frontend
    cd frontend
    npm run dev
    
    # Backend
    cd backend
    uvicorn app.main:app --reload
    

Testing

# Frontend
cd frontend
npm test

# Backend
cd backend
pytest

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

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