Rate the Article: Integrating AI into DevOps: Leveraging Machine Learning for Intelligent Automation in Azure, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 0 | Views: 265

Research Paper | Computer Science and Information Technology | United States of America | Volume 11 Issue 6, June 2022 | Rating: 4.1 / 10


Integrating AI into DevOps: Leveraging Machine Learning for Intelligent Automation in Azure

Satheesh Reddy Gopireddy


Abstract: The convergence of Artificial Intelligence (AI) and DevOps is paving the way for transformative changes in the way software is developed, deployed, and managed, particularly in cloud environments like Microsoft Azure. By integrating AI, specifically Machine Learning (ML), into DevOps practices, organizations can achieve intelligent automation, predictive analytics, anomaly detection, and continuous optimization. This paper explores how AI can be effectively leveraged within Azure's DevOps ecosystem, offering insights into the benefits, challenges, and best practices associated with this integration. The article delves into case studies, provides strategic frameworks, and discusses future trends that will shape the evolution of AI-driven DevOps.


Keywords: AI in DevOps, cloud automation, machine learning in DevOps, Azure DevOps, AI-driven software development


Edition: Volume 11 Issue 6, June 2022,


Pages: 2035 - 2039



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