CommerceFlow
(Event-Driven E-Commerce)
A production-grade, highly scalable e-commerce microservices ecosystem utilizing Kafka, Saga Orchestration, and the Transactional Outbox pattern.
The Challenge
In a large-scale e-commerce platform, traditional synchronous API calls between microservices create fragile architectures prone to cascading failures and data inconsistencies (e.g., charging a card but failing to reserve stock).
CommerceFlow solves this using a purely Event-Driven Architecture. By implementing the Transactional Outbox pattern, I eliminated two-phase commit overhead while guaranteeing 'at-least-once' message delivery. Complex checkout workflows are handled by a central Saga Orchestrator that uses Kafka to confidently manage distributed transactions, automatically executing compensating rollbacks if any step fails.
System Architecture
sequenceDiagram
participant User
participant OrderService as Order Service (Saga)
participant Kafka
participant Inventory as Inventory Service
participant Payment as Payment Service
User->>OrderService: POST /orders
OrderService->>Kafka: Emit ORDER_PLACED (Outbox)
Kafka->>Inventory: Consume Event
Inventory-->>Kafka: Emit INVENTORY_RESERVED
Kafka->>OrderService: Update Saga State
OrderService->>Kafka: Emit PAYMENT_INITIATED
Kafka->>Payment: Consume Event
Payment-->>Kafka: Emit PAYMENT_COMPLETED
Kafka->>OrderService: Finalize Order
Key Features
Saga Pattern Orchestration
A centralized Order Service coordinates complex, multi-service checkout workflows and automated rollbacks via Kafka.
Transactional Outbox Pattern
Guarantees atomic cross-boundary database/event-bus writes, ensuring zero data loss during high load.
CQRS & Event Sourcing
The Order system stores an immutable append-only event log to reconstruct state perfectly.
AI Recommendation Engine
A Python/FastAPI service using scikit-learn TF-IDF vectorization that syncs continuously with the catalog via Kafka.