This comprehensive article presents a novel event-driven architecture for managing distributed transactions in real-time food delivery platforms experiencing fluctuating demand patterns. The serverless computing framework introduces an innovative approach for maintaining transaction integrity across multiple microservices while leveraging inherent elasticity of cloud infrastructure. The implementation demonstrates how Function-as-a-Service (FaaS) components orchestrate complex workflows spanning order processing, payment handling, and delivery logistics without sacrificing system reliability. The architecture employs compensation-based transaction models and idempotent operations to ensure consistency despite the stateless nature of serverless functions. Performance evaluations reveal significant improvements in both scalability during peak meal times and overall operational cost efficiency compared to traditional deployment models. These findings provide valuable insights for architects and developers seeking to implement robust transaction management in similar high-volume, event-driven systems while benefiting from the operational advantages of serverless computing paradigms.
Keywords: distributed transactions, elastic scaling, event-driven architecture, food delivery platforms, serverless computing
