Intelligent Resource Management in Cloud Computing: AI Techniques for Optimizing DevOps Operations

Abstract

Efficient resource management is a cornerstone of cloud computing, particularly for DevOps operations where automation and scalability are critical. Traditional resource allocation approaches often fall short in dynamic environments, leading to over-provisioning, under-utilization, or service disruptions. This paper explores how artificial intelligence (AI) techniques can optimize resource management in cloud environments, enhancing the performance and efficiency of DevOps workflows. We examine methods such as predictive analytics, reinforcement learning, and anomaly detection, providing case studies and actionable insights for implementing intelligent resource management systems.