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.
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.
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:
Additional advanced services enhance the functionality:
The addition of the ML ETA Service utilizes machine learning to predict accurate ETAs with over 85% reliability.
This platform supports monitoring through Prometheus for metrics aggregation and Grafana for dashboard visualization.
Comprehensive API documentation and manuals for setup, service utilization, and maintenance are available to streamline development and integration processes.
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"}'
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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