AI-Driven Enhancements in Cloud-Native DevOps Boosting Automation, Deployment, and Monitoring

Abstract

This paper looks into the incorporation of Artificial Intelligence into cloud-native DevOps practices dealing in automation, workflow optimization, and proactive monitoring. The paper also outlines AI-based tools that support some of the main points in DevOps practice areas like CI/CD, infrastructure management, security, and observability. Additionally, it elaborates on new developments that shorten workflows in cloud environments. This study on AI-driven automation shows how these systems can help mitigate repetitive works, speed CI/CD Processes, and increase deployment efficiency. It further explains the possible AI contributions in the areas of real-time monitoring, anomaly detection, and rapid root-cause analysis. The paper also examines the existing challenges under which impeding aspects like scalability constraints, data issues, and overlook, as well as interpretability by human experts must be highlighted. Future research directions would also be mentioned at the end, intended to pave the way for practitioners and researchers to adopt artificial intelligence to develop.