REVOLUTIONIZING CONFIGURATION MANAGEMENT: THE INTEGRATION OF AI WITH YAML

Authors

  • Pramod Muppala Kumar Bank of America, USA Author

Keywords:

Configuration Management, Artificial Intelligence, YAML, Cloud Computing, Infrastructure Automation

Abstract

The integration of artificial intelligence with YAML-based configuration management represents a transformative advancement in modern IT infrastructure management. This comprehensive article explores how AI-driven insights are revolutionizing configuration management practices across various domains, particularly in cloud computing and financial services. It examines the evolution from traditional manual configuration approaches to sophisticated AI-powered systems capable of intelligent anomaly detection, automated optimization, and predictive maintenance. The article analyzes the implementation of machine learning techniques in infrastructure as code (IaC) and dynamic resource allocation, highlighting how these advances enable more efficient and reliable system management. It also investigates emerging trends in self-healing systems, natural language processing applications, and cross-platform optimization. Through a detailed examination of current practices and future directions, this article demonstrates how the convergence of AI and configuration management is enabling organizations to handle increasingly complex IT environments while maintaining high levels of reliability and performance.

References

Phyllis Drucker, "Asset And Configuration Management Using AI," Think HDI, 2023. [Online]. Available: https://www.thinkhdi.com/library/supportworld/2023/asset-configuration-management-ai

Restack, "AI For Configuration Management," Restack.io, Jan. 2025. [Online]. Available: https://www.restack.io/p/ai-for-financial-risk-management-answer-ai-configuration-management-cat-ai

John Arundel and Justin Domingus, "Cloud Native DevOps with Kubernetes," O'Reilly Media, 2019. [Online]. Available: https://github.com/ffisk/books/blob/master/Cloud-Native-Devops-with-Kubernetes-full-book.pdf

Joe Beda, Kelsey Hightower, and Brendan Burns, "Kubernetes: Up and Running," O'Reilly Media, 2017. [Online]. Available: https://www.oreilly.com/library/view/kubernetes-up-and/9781491935668/

Tahseen Khan et al., "Machine learning (ML)-centric resource management in cloud computing: A review and future directions," Journal of Network and Computer Applications, Volume 204, August 2022. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S1084804522000649

Lauren McMillan and Liz Varga, "A review of the use of artificial intelligence methods in infrastructure systems," Engineering Applications of Artificial Intelligence, Volume 116, November 2022. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0952197622004626

Robert Heinrich et al., "Performance Engineering for Microservices: Research Challenges and Directions," ICPE '17 Companion: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion, 2017. [Online]. Available: https://dl.acm.org/doi/10.1145/3053600.3053653

Tao Chen and Rami Bahsoon, "Self-Adaptive and Online QoS Modeling for Cloud-Based Software Services," IEEE Transactions on Software Engineering, vol. 43, 2017. [Online]. Available: https://www.computer.org/csdl/journal/ts/2017/05/07572219/13rRUEgarD8

Alexandru Iosup et al., "Massivizing Computer Systems: A Vision to Understand, Design, and Engineer Computer Ecosystems Through and Beyond Modern Distributed Systems," 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018. [Online]. Available: https://www.researchgate.net/publication/326566944_Massivizing_Computer_Systems_A_Vision_to_Understand_Design_and_Engineer_Computer_Ecosystems_Through_and_Beyond_Modern_Distributed_Systems

David Breitgand, et al., "SLA-aware placement of multi-virtual machine elastic services in compute clouds," Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011, Dublin, Ireland, 23-27 May 2011. [Online]. Available: https://www.researchgate.net/publication/221293461_SLA-aware_placement_of_multi-virtual_machine_elastic_services_in_compute_clouds

Published

2025-02-10

How to Cite

Pramod Muppala Kumar. (2025). REVOLUTIONIZING CONFIGURATION MANAGEMENT: THE INTEGRATION OF AI WITH YAML. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 2084-2096. https://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_152