The Ride Hailing Platform provides a scalable, microservices-based backend that powers a comprehensive ride-hailing ecosystem. Built with Go and PostgreSQL, its 13 microservices support everything from authentication to real-time geolocation services, making it both enterprise-ready and compatible with modern deployment solutions.
Ride Hailing Platform - A Comprehensive Backend Solution
The Ride Hailing Platform offers a robust, production-ready backend designed specifically for ride-hailing services. Built using Go, PostgreSQL (with PostGIS for geospatial capabilities), and Docker, this platform is ready for deployment on Google Cloud services like Cloud Run and Cloud SQL.
Key Features
The architecture is powered by 13 microservices that efficiently manage the entire ride-hailing ecosystem, ensuring scalability and flexible service deployment. Here are the core services and capabilities:
- ✅ Authentication Service: Secure JWT-based authentication and role-based access control.
- ✅ Rides Service: Comprehensive management of the ride lifecycle, including ratings and scheduled rides.
- ✅ Geolocation Service: Advanced driver matching using Redis GeoSpatial indexing for proximity searches.
- ✅ Payment Service: Integration with Stripe for seamless payments and an automated wallet system.
- ✅ Notification Service: Multi-channel alerts through Firebase, Twilio, and email notifications.
- ✅ Real-time Service: In-app chat functionality and live updates via WebSockets.
- ✅ Admin Service: A complete backend for dashboards and analytics.
Advanced Capabilities
Additional advanced services enhance the functionality:
- 🎁 Promos Service: Manage promotional codes and referral programs.
- 📅 Scheduler Service: Automate ride scheduling and notifications.
- 📊 Analytics Service: Provide business intelligence and reporting.
- 🛡️ Fraud Service: Implement measures for fraud detection and prevention.
Machine Learning Enhancement
The addition of the ML ETA Service utilizes machine learning to predict accurate ETAs with over 85% reliability.
Infrastructure and Technology Stack
- Language: Go 1.24+
- Framework: Gin for building efficient web applications.
- Database: PostgreSQL 15 with PostGIS support.
- Caching: Redis 7 for efficient data storage and retrieval.
- Deployment: Docker for containerization and Kubernetes-compatible for scaling applications.
Monitoring and Observability
This platform supports monitoring through Prometheus for metrics aggregation and Grafana for dashboard visualization.
Full Documentation
Comprehensive API documentation and manuals for setup, service utilization, and maintenance are available to streamline development and integration processes.
Quick API Examples
Here are some basic API usage examples to get started:
Register a Rider:
curl -X POST http://localhost:8081/api/v1/auth/register \
-H "Content-Type: application/json" \
-d '{"email": "rider@test.com", "password": "password123", "phone_number": "+1234567890", "first_name": "John", "last_name": "Doe", "role": "rider"}'
Request a Ride:
curl -X POST http://localhost:8082/api/v1/rides \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"pickup_latitude": 40.7128, "pickup_longitude": -74.0060, "pickup_address": "New York, NY", "dropoff_latitude": 40.7589, "dropoff_longitude": -73.9851, "dropoff_address": "Times Square, NY"}'
Conclusion
The Ride Hailing Platform stands out as an enterprise-ready solution that ensures efficient ride management, user engagement, and data-driven decision-making. Its design prioritizes performance, security, and ease of integration, making it a valuable asset for any modern ride-hailing business.
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