Scalable Microservices and Data Integration for Modern eCommerce and Enterprise Systems
Abstract
Modern eCommerce and enterprise systems have become more complex, which has prompted the use of the microservice architecture and sophisticated data integration strategies to provide scalability and resilience, as well as speed in the delivery of features. This chapter consolidates important architectural patterns, integration frameworks and operational models, assesses their advantages and shortcomings, and also provides some future research areas such as AI-based orchestration of microservices, policy-as-code to automate governance, edge-native integration and consistent performance testing suites. These lessons can inform researchers and practitioners on how to develop well-tested and highly scalable networks that can support the changing needs of modern online companies. In the future, the application of transfer learning techniques to generalize models in other application contexts and federated learning schemes to privately share models between organizational units while masking data privacy should be investigated.
