Low-Coupling and High-Cohesion Microservice Partitioning Method to Support Rapid Development of Steel Industry Management Systems
Hanbin Zhu, Hongxia Cai · 2024
The development of the steel industry management system is facing the challenge of rapid development response under the rapid change of business. Business evolution requires the support of low-code platforms but traditional low-code platforms are unable to meet the multi-scenario requirements of process-oriented industries. In order to realize low-code development under cloud-native platform, this paper proposes a service partitioning method based on microservice architecture. Briefly, the extraction of activity instances is realized based on Domain-Driven Design(DDD). Semantic information templates are constructed to realize the formal semantic information entry of activity instances. Finally, low-coupling and high-cohesion service partitioning is realized based on the Louvain graph clustering method. Experiments in the steel procurement business prove the feasibility of the microservice architecture.