Engineering Large-Scale Enterprise Software Systems with Scalable Microservices and Efficient Data Integration Frameworks
Keywords:
Enterprise Software, Scalable Microservices, Data Integration, Cloud Computing, Event-Driven Architecture, Fault Tolerance, Performance EngineeringAbstract
The increasing complexity of large-scale enterprise software systems requires scalable microservices and efficient data integration frameworks to ensure high availability, seamless interoperability, and enhanced performance. This paper explores the role of microservices architectures, event-driven integration, and cloud-based data management in modern enterprises. A literature review of research is conducted to analyze past approaches and their impact on scalability, fault tolerance, and cost-efficiency. The study incorporates data-driven insights with tables, graphs, and charts to evaluate the comparative effectiveness of different integration strategies and performance optimization techniques.
References
Ravi, V. K., and V. Bhimanapati. Optimizing Cloud Infrastructure for Large-Scale Applications. 2024.
Vinay, S. B. (2024). A comprehensive analysis of artificial intelligence applications in legal research and drafting. International Journal of Artificial Intelligence in Law (IJAIL), 2(1), 1–7.
Ali, H., and J. Reuben. Cloud-Powered Innovation: Enhancing SME Competitiveness in the Digital Era. 2021.
Rahaman, S. Cloud-Based Data Pipeline Automation: Transforming Efficiency in Large-Scale Data Processing. 2022.
Vasudevan, K. (2024). The influence of AI-produced content on improving accessibility in consumer electronics. Indian Journal of Artificial Intelligence and Machine Learning (INDJAIML), 2(1), 1–11.
Mustafa, F., and O. Rinaudo. Future-Proofing Small and Medium-Sized Enterprises with Cloud-Based Technology. 2022.
Horrocks, P., C. Marshall, and C. Thomas. Unlocking Local Currency Financing in Emerging Markets. 2022.
Nivedhaa, N. (2024). Software architecture evolution: Patterns, trends, and best practices. International Journal of Computer Sciences and Engineering (IJCSE), 1(2), 1–14.
Johnson, J., and A. Rajuroy. Sustainable Cybersecurity in Business: Leveraging AI-Driven Analytics. 2023.
Rasaq, S. Multi-Tenant Hybrid Cloud Middleware for Scalable IoT Systems. 2021.
Roukh, A., and S. Mahmoudi. A Scalable Smart Farming Solution: Leveraging Big Data and Cloud Technology. 2022.
Cerny, T., G. Goulis, and A. S. Abdelfattah. Towards Change Impact Analysis in Microservices-Based System Evolution. 2023.
Suraweera, S. IoT Security: A Comprehensive Review of Challenges, Solutions, and Future Directions. 2023.Design." International Journal of Design, vol. 8, no. 1, 2020, pp. 17-29.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Jenna Hampton (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.