AIOps and DevOps : Catalysts of Digital Transformation in the Age of Automated Operations

Authors

  • Sekhar Chittala Salesforce Inc., USA Author

DOI:

https://doi.org/10.32628/CSEIT24106163

Keywords:

Artificial Intelligence for IT Operations, DevOps, AIOps, IT Automation, Release Engineering

Abstract

This article examines the pivotal roles of Artificial Intelligence for IT Operations (AIOps) and Development Operations (DevOps) as key drivers of digital transformation in contemporary organizations. As businesses increasingly rely on complex, distributed IT systems, the integration of AIOps and DevOps emerges as a critical strategy for maintaining operational efficiency, scalability, and innovation. Through a comprehensive analysis of current literature and industry case studies, we explore how these technologies are reshaping the landscape of IT operations, accelerating software delivery cycles, and enabling more resilient and adaptive infrastructures. The article delves into the evolving nature of release engineering, where automation and machine learning are becoming central to ensuring agile and robust IT systems. Furthermore, we critically assess the ethical implications of automated decision-making in operations, including issues of transparency, bias, and job displacement. Our findings suggest that while AIOps and DevOps offer significant benefits in terms of operational optimization and cost reduction, their successful implementation requires careful consideration of organizational culture, skill development, and ethical guidelines. This article contributes to the growing body of knowledge on digital transformation strategies and provides insights for practitioners navigating the complex intersection of artificial intelligence, automation, and IT operations.

Downloads

Download data is not yet available.

References

S. Dutta and B. Lanvin, "The Network Readiness Index 2020: Accelerating Digital Transformation in a post-COVID Global Economy," Portulans Institute, Washington D.C., 2020. [Online]. Available: https://networkreadinessindex.org/wp-content/uploads/2020/11/NRI-2020-V8_28-11-2020.pdf

L. Leite, C. Rocha, F. Kon, D. Milojicic and P. Meirelles, "A Survey of DevOps Concepts and Challenges," ACM Computing Surveys, vol. 52, no. 6, pp. 1-35, 2019. DOI: 10.1145/3359981. [Online]. Available: https://dl.acm.org/doi/10.1145/3359981 DOI: https://doi.org/10.1145/3359981

G. Kim, J. Humble, P. Debois, and J. Willis, "The DevOps Handbook: How to Create World-Class Agility, Reliability, & Security in Technology Organizations," IT Revolution Press, 2016. [Online]. Available: https://itrevolution.com/product/the-devops-handbook/

McKinsey & Company, "The Next Horizon for Industrial Manufacturing: Adopting Disruptive Digital Technologies in Making and Delivering," 2018. [Online]. Available: https://www.mckinsey.com/business-functions/operations/our-insights/the-next-horizon-for-industrial-manufacturing

L. Bass, I. Weber, and L. Zhu, "DevOps: A Software Architect's Perspective," Addison-Wesley Professional, 2015. [Online]. Available: https://www.informit.com/store/devops-a-software-architects-perspective-9780134049847

A. Adadi and M. Berrada, "Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)," IEEE Access, vol. 6, pp. 52138-52160, 2018. [Online]. Available: https://ieeexplore.ieee.org/document/8466590 DOI: https://doi.org/10.1109/ACCESS.2018.2870052

European Union Agency for Cybersecurity (ENISA), "Artificial Intelligence Cybersecurity Challenges," 2020. [Online]. Available: https://www.enisa.europa.eu/publications/artificial-intelligence-cybersecurity-challenges

Gartner, "Top Strategic Technology Trends for 2023," 2022. [Online]. Available: https://www.gartner.com/en/information-technology/insights/top-technology-trends

World Economic Forum, "The Future of Jobs Report 2020," 2020. [Online]. Available: https://www.weforum.org/reports/the-future-of-jobs-report-2020

DevOps Institute, "Upskilling IT 2022 Report," 2022. [Online]. Available: https://www.devopsinstitute.com/upskilling-it

Downloads

Published

05-11-2024

Issue

Section

Research Articles

How to Cite

[1]
Sekhar Chittala, “AIOps and DevOps : Catalysts of Digital Transformation in the Age of Automated Operations”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 6, pp. 155–166, Nov. 2024, doi: 10.32628/CSEIT24106163.

Similar Articles

1-10 of 230

You may also start an advanced similarity search for this article.