Designing a microservices-based system for auto-debiting payments in an asset leasing product involves several considerations to ensure scalability, fault tolerance, and maintainability. Let's outline the architecture and the design choices for this system:
High-Level Architecture
The system can be divided into the following microservices:
- Mandate Management Service
- Payment Processing Service
- Receipt Management Service
- Reversal Service
Microservices Overview
- Mandate Management Service:
- Responsibilities: Handles the registration, update, and lifecycle of mandates. Manages the association of mandates with payment schedules and contracts.
- Endpoints:
POST /mandates: Register a new mandate.
GET /mandates/{id}: Retrieve mandate details.
PUT /mandates/{id}: Update mandate details.
DELETE /mandates/{id}: Deactivate a mandate.
- Payment Processing Service:
- Responsibilities: Processes payments based on the payment schedule, either via file-based processing or using GoCardLess.
- Endpoints:
POST /payments: Initiate a payment.
GET /payments/{id}: Retrieve payment status.
- Receipt Management Service:
- Responsibilities: Creates and manages receipts for successful payments.
- Endpoints:
POST /receipts: Create a new receipt.
GET /receipts/{id}: Retrieve receipt details.
- Reversal Service:
- Responsibilities: Handles reversal of receipts in case of failed payments.
- Endpoints:
POST /reversals: Initiate a reversal.
GET /reversals/{id}: Retrieve reversal status.
Design Considerations
Scalability
- Horizontal Scaling: Each microservice can be scaled independently based on load. For example, the Payment Processing Service might need more instances during peak payment times.
- Load Balancing: Use load balancers to distribute requests evenly across instances of each service.
- Asynchronous Processing: Use message queues (e.g., Azure Service Bus) for asynchronous tasks like payment processing and receipt creation to decouple services and improve responsiveness.
Fault Tolerance
- Retry Mechanisms: Implement retries for transient failures in external dependencies (e.g., GoCardLess API).
- Circuit Breakers: Use circuit breaker patterns to prevent cascading failures by stopping attempts to access a failing service.