AI-DRIVEN CLOUD INFRASTRUCTURE: ADVANCES IN KUBERNETES AND SERVERLESS COMPUTING
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Abstract
Artificial Intelligence has been integrated into cloud infrastructure, making it revolutionizing modern computing by automating, scaling, and efficiency. The first of these is Kubernetes and the second is serverless computing. Kubernetes, a container orchestration platform, benefits from AI-driven enhancements in workload scheduling, auto-scaling, and resource optimization. By combining AI based predictive analytics with container deployment, overhead is reduced in terms of the operational overhead as well as the fault tolerance. However, serverless computing takes away the management of infrastructure leaving the developers free to write application logic. Serverless architectures with AI-based power can scale and adaptively allocate the resources and execute cloud workloads with minimum cost. This review study examines the latest development of AI-based Kubernetes and serverless computing, their influence on the cloud infrastructure. AI is discussed insofar as its orchestration role can be optimized, security is improved and self-healing cloud environments are made possible. The paper also studies challenges: latency, security issues, and uncertainties of integration of AI models. Through the analysis of state-of-the-art innovation and future trends, this review covers how AI is impacting the future cloud native computing.
Keywords—AI-Driven, Cloud Infrastructure, Kubernetes, Serverless Computing, Cloud-Native, Orchestration
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