Abstract

The growing complexity of modern software systems necessitates architectural approaches that enhance scalability, flexibility, and maintainability. Microservices architecture has emerged as a leading solution, particularly for cross-domain applications. This paper presents a conceptual model for cross-domain microservices by integrating Event-Driven Design (EDD) and Domain-Driven Design (DDD) principles. The proposed model focuses on structuring microservices around distinct bounded contexts, enabling modular development and fostering a deep alignment between technical architecture and business objectives. By employing EDD, the model leverages asynchronous communication and event streaming to decouple microservices, ensuring resilience and real-time responsiveness across domains. DDD is utilized to define domain boundaries, prioritize business logic, and establish ubiquitous language, facilitating seamless collaboration between technical and non-technical stakeholders. The model also introduces a unified framework for orchestrating complex interactions across microservices, enhancing system coherence without compromising autonomy. Key components of the conceptual model include event sourcing for maintaining robust data consistency, CQRS (Command Query Responsibility Segregation) to separate read and write operations, and aggregate design to manage domain entities efficiently. The model emphasizes event choreography over centralized orchestration, promoting loose coupling and scalability. Integration challenges, such as data synchronization, eventual consistency, and cross-domain event propagation, are addressed with practical guidelines for implementing resilient patterns. A comparative analysis with traditional service-oriented architectures underscores the model's advantages in supporting diverse business needs and rapid adaptability to changing requirements. The proposed conceptual model is validated through case studies in e-commerce and financial services, demonstrating its potential to optimize operational workflows and enhance user experiences. This research contributes to the growing discourse on microservices by bridging the gap between technical and business domains, offering a robust framework for designing cross-domain systems. Future work will explore extending the model with advanced AI-driven decision-making and monitoring capabilities.