Optimizing Enterprise Application Integration using Machine Learning Powered API Lifecycle Management for Cloud Platforms
DOI:
https://doi.org/10.15680/IJCTECE.2026.0904002Keywords:
Enterprise Application Integration, Machine Learning, API Lifecycle Management, Cloud Platforms, Artificial Intelligence, API Governance, Cloud Computing, Digital Transformation, Intelligent Automation, Microservices, Microservices,, Predictive Analytics, Application Programming Interfaces, Cloud Integration, Enterprise Architecture, API SecurityAbstract
Enterprise application integration has become a critical capability for organizations seeking to connect diverse software systems, cloud services, databases, and digital platforms within increasingly complex technology environments. Application Programming Interfaces (APIs) serve as the foundation of modern integration strategies by enabling communication, data exchange, and interoperability among distributed applications. However, the rapid growth of APIs across cloud platforms has created significant challenges related to lifecycle management, security, scalability, performance optimization, and governance. This study examines the role of machine learning-powered API lifecycle management in optimizing enterprise application integration for cloud platforms. Machine learning techniques provide intelligent capabilities for API discovery, usage prediction, anomaly detection, automated testing, performance monitoring, security enhancement, and lifecycle optimization. By analyzing operational data and API behavior patterns, machine learning models enable proactive decision-making and automated management throughout API development, deployment, operation, and retirement phases. The research adopts a qualitative methodology based on an extensive review of academic literature, industry frameworks, and cloud integration practices to explore current approaches and emerging trends. The findings indicate that integrating machine learning with API lifecycle management improves integration efficiency, reduces operational complexity, strengthens security, enhances service reliability, and supports scalable cloud-native architectures. The study concludes that intelligent API lifecycle management represents a strategic approach for enterprises seeking adaptive, efficient, and resilient application integration capabilities in modern cloud environments
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