Key Microservices for a Simple Uber System:
- Handles customer-related functions like authentication, profile management, and ride history.
- Manages driver authentication, profile details, driver status (available, offline), and vehicle information.
- Responsible for ride matching, including finding nearby available drivers, estimating ETAs, and managing ride requests. This service might use technologies like quadtrees for efficient location-based queries.
- Manages the lifecycle of a ride, from initiation to completion, including fare calculation, payment processing, and ride status updates.
Core Components and Considerations:
- Acts as a single entry point for client applications, routing requests to the appropriate microservice.
- Enables microservices to find and communicate with each other dynamically.
- Utilizing efficient messaging formats (e.g., REST, gRPC) for inter-service communication is crucial.
- Each microservice owns its dedicated database to ensure data isolation and independent scaling.
- The microservice architecture inherently supports horizontal scaling, allowing individual services to scale based on demand. High availability and low latency are critical non-functional requirements for a ride-hailing system.
- Services should be loosely coupled, allowing for independent development, deployment, and updates without impacting other parts of the system.
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