Copax-FMS

Advanced fleet management system with real-time tracking and monitoring capabilities

NestJS
MongoDB
Mongoose
RabbitMQ
Docker
MinIO
Microservices
Copax-FMS

Overview

Copax-FMS is a comprehensive fleet management system designed to optimize vehicle operations, enhance driver safety, and reduce operational costs. The platform provides real-time tracking, maintenance scheduling, and detailed analytics for fleet managers.

Key Features

Real-time vehicle tracking and monitoring
Maintenance scheduling and automated alerts
Driver management and performance tracking
Fuel consumption analysis and optimization
Vehicle monitoring with multiple geofencing options
Comprehensive reporting dashboard
Mobile applications for customers and support employees

Responsibilities

Designed and implemented the backend architecture using NestJS and MongoDB
Developed the real-time data processing pipeline using RabbitMQ
Created RESTful APIs for frontend and mobile application integration
Implemented containerization with Docker and orchestration with Docker Compose
Designed and optimized database schemas and queries for performance
Set up CI/CD pipelines for automated testing and deployment
Integrated with third-party mapping and tracking services

Challenges & Solutions

Challenges

Processing large volumes of real-time data from multiple vehicle tracking devices
Ensuring system reliability for critical operations with minimal downtime
Integrating with various vehicle tracking devices and protocols
Optimizing database performance for quick queries across large datasets
Implementing secure communication between distributed system components

Solutions

Implemented data streaming architecture with RabbitMQ for efficient real-time data processing
Designed redundant systems with failover capabilities to ensure 99.9% uptime
Created a device integration layer with standardized protocols for seamless device connectivity
Optimized MongoDB queries with proper indexing and implemented caching strategies
Utilized microservices architecture for better scalability and maintenance

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