AI-driven automation and platform orchestration in network engineering and cloud infrastructure

Ramasamy, Manevannan (2025) AI-driven automation and platform orchestration in network engineering and cloud infrastructure. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 1184-1193. ISSN 2582-8266

This article examines the transformative impact of AI-driven automation and platform orchestration on network engineering and cloud infrastructure management. It explores how machine learning algorithms, predictive analytics, and intelligent orchestration frameworks are revolutionizing traditionally manual network operations, enabling proactive management and dynamic resource allocation at an unprecedented scale. The article systematically analyzes the evolution of network automation fundamentals, platform orchestration methodologies, and integration strategies while providing empirical evidence of benefits including operational efficiency gains, downtime reduction, service quality improvements, security enhancements, and cost savings. Through critical examination of current approaches and emerging trends, the article identifies both the remarkable potential and persistent challenges in this rapidly evolving field. Particularly noteworthy is the progression toward self-optimizing network systems that continuously improve performance without human intervention, suggesting a future where infrastructure systems autonomously translate business requirements into technical implementations. The comprehensive article presented offers valuable insights for organizations navigating the complex journey toward intelligent network automation while highlighting promising research directions that will shape the next generation of network management technologies.