A Review on AIOps: Integrating Artificial Intelligence into DevOps Pipelines
سال انتشار: 1405
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 85
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شناسه ملی سند علمی:
DMECONF11_121
تاریخ نمایه سازی: 26 شهریور 1405
چکیده مقاله:
The increasing complexity of modern DevOps environments has led to significant challenges in monitoring, fault detection, and operational decision-making. Artificial Intelligence for IT Operations (AIOps) has emerged as a promising approach to enhance DevOps pipelines by leveraging machine learning and deep learning techniques for intelligent automation. This paper presents a comprehensive review of AIOps concepts, architectures, and core techniques integrated into DevOps practices. Key applications such as anomaly detection, root cause analysis, and predictive analytics are discussed. Finally, existing challenges and future research directions, including explainable AI and large language models, are highlighted.
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نویسندگان
Hasan Rokni Alaei
B.Sc. Student in Computer Engineering, Islamic Azad University, Central Tehran Branch
Mojtaba Keshavarz
Professor, Department of Computer Engineering, Islamic Azad University. Central Tehran Branch