AIOPS: TRANSFORMING CLOUD AND EDGE INFRASTRUCTURE MANAGEMENT

Authors

  • Sunil Kumar Gosai Yash Solutions, USA Author

Keywords:

Artificial Intelligence For IT Operations, Infrastructure Management, Predictive Analytics, Cloud Computing, Digital Transformation

Abstract

Artificial Intelligence for IT Operations (AIOps) has emerged as a transformative solution for managing modern distributed IT infrastructure, addressing the growing complexity of cloud and edge environments. This comprehensive article examines the evolution, implementation, and future trajectory of AIOps in enterprise settings. It explores how organizations are leveraging AIOps platforms to enhance operational efficiency, optimize resource utilization, and strengthen security postures across hybrid and multi-cloud environments. The article delves into key capabilities including proactive issue detection, automated resource optimization, and predictive maintenance, while also addressing critical implementation considerations such as data quality requirements and change management strategies. Through examination of market trends, real-world implementations, and future projections, this article demonstrates how AIOps is fundamentally reshaping IT operations management, enabling organizations to move from reactive to proactive infrastructure management while delivering measurable improvements in performance, cost efficiency, and service reliability.

References

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Published

2025-02-04

How to Cite

Sunil Kumar Gosai. (2025). AIOPS: TRANSFORMING CLOUD AND EDGE INFRASTRUCTURE MANAGEMENT. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 1282-1292. http://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_095