AI-Powered API Management: Intelligent traffic routing and adaptive scaling

Natta, Prasanna Kumar (2025) AI-Powered API Management: Intelligent traffic routing and adaptive scaling. World Journal of Advanced Research and Reviews, 26 (1). pp. 2758-2764. ISSN 2581-9615

The integration of artificial intelligence into API management marks a transformative advancement in cloud computing infrastructure. As organizations increasingly adopt microservices architectures, traditional static API management approaches prove insufficient to handle the exponential growth in traffic volume and complexity. This paradigm shift introduces intelligent automation across critical dimensions of API operations, including traffic routing, resource allocation, and security monitoring. By establishing dynamic behavioral baselines and employing predictive analytics, these AI-powered systems can anticipate demand fluctuations, optimize resource distribution, and identify emerging security threats with unprecedented accuracy. The transition from reactive to proactive management enables organizations to avoid performance degradation during peak periods while simultaneously reducing infrastructure costs through precise resource allocation. The continuous learning capabilities inherent in these systems ensure ongoing improvement without manual intervention, effectively addressing the complexity challenges introduced by microservices proliferation. This fundamental advancement promises to reshape enterprise digital service delivery, unlocking significant value through enhanced performance, efficiency, and reliability in cloud environments.