★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★Open research. Global perspectives.
editor@theamericanjournals.comPublisher Home ↗
Engineering and Technology OPEN ACCESS

Intelligent Automation in DevOps: Transforming Software Deployment and Maintenance through AI-Driven Approaches

Samuel R. Thompson
University of Melbourne, Australia
tajet 2026
VOL. 8 / NO. 2 FEBRUARY
FULL TEXT PP. 81-86
DOWNLOAD PDF

View all articles in this issue ↗

VOLUME 8
ISSUE 2
YEAR 2026
PAGES 81-86
RESEARCH OVERVIEW

Abstract

The integration of artificial intelligence (AI) into modern software engineering practices has precipitated a paradigm shift in how deployment, maintenance, and operational efficiency are conceived within DevOps frameworks. This paper investigates the theoretical underpinnings, practical applications, and emerging trends of AI-driven DevOps, emphasizing intelligent automation as a core enabler of enhanced reliability, scalability, and system resilience. By critically synthesizing prior research, including seminal work by Varanasi (2025) on machine learning-based deployment and maintenance strategies, this study contextualizes AI’s transformative role in site reliability engineering (SRE), continuous integration/continuous deployment (CI/CD) pipelines, and operational analytics. The research explores multi-dimensional perspectives, encompassing historical evolution, methodological approaches, algorithmic governance, and risk mitigation strategies. Challenges such as explainability, model bias, and the integration of AI into legacy infrastructure are thoroughly examined. Further, the study delineates the economic, strategic, and organizational implications of AI-driven automation in enterprise environments, providing actionable insights for practitioners and researchers alike. The findings underscore the necessity of a holistic, multi-tiered approach to intelligent DevOps adoption, revealing both opportunities and critical risks associated with reliance on AI in high-stakes software engineering environments. This work contributes a comprehensive framework for understanding and operationalizing AI in DevOps, integrating theoretical rigor with practical relevance.

RESEARCH TOPICS

Keywords

Artificial Intelligence DevOps Site Reliability Engineering Intelligent Automation

Downloads

Download data is not yet available.
SOURCES & SCHOLARSHIP

References

  1. Chad, T. 2020. armory. Measuring Continuous Deployment (CD) with Spinnaker and Splunk. [Website]. [Read 2022-21-10]. Available: https://www.armory.io/blog/measuring-continuous-deployment-cd-with-spinnaker-and-splunk/
  2. Betts, D. 2022. How to succeed with site reliability engineering [Website]. [Cited 2022-09-10]. Available: https://blogs.gartner.com/daniel-betts/how-to-succeed-with-site-reliability-engineering-sre/?_ga=2.33872486.615625681.1665341188-366711749.1665341188
  3. Gopala, S. 2025. The Future of Enterprise Automation: AI as a Transformative Force. International Journal Of Research In Computer Applications And Information Technology 8(1):2423-2437. Available: https://www.researchgate.net/publication/389609236_The_Future_of_Enterprise_Automation_AI_as_a_Transformative_Force
  4. Rishabh Software, 2023. Enterprise Software Architecture Patterns: A Comprehensive Guide. Available: https://www.rishabhsoft.com/blog/enterprise-software-architecture-patterns
  5. Nous Infosystems, 2025. AIOps: Moving Beyond Dashboards to a Future of Intelligent IT Operations. LinkedIn, Apr. Available: https://www.linkedin.com/pulse/aiops-moving-beyond-dashboards-future-intelligent-operations-f9zkc/
  6. O’Brien, M., et al., 2018. Using cognitive tech to connect customers to business operations. HFS Research. Available: https://amelia.ai/wp-content/uploads/2018/04/HfS.pdf
  7. DevOpsDigest. What can AIOps Do For DevOps? [Website]. [Read 2022-18-10]. Available: https://www.devopsdigest.com/aiops-devops-1
  8. Erin, J. 2021. Dynatrace. Automating SLOs helps SREs go fast: Dynatrace at SLOconf? [Website]. [Read 2022-16-10]. Available: https://www.dynatrace.com/news/blog/automating-slos-helps-sres-go-fast/
  9. Chiradeep, B. 2022. What is a Service level Agreement (SLA)? [Website]. [Read 2022-16-10]. Available: https://www.spiceworks.com/tech/cloud/articles/what-is-a-service-level-agreement/
  10. Binbeshr, F., & Imam, M. 2025. Comparative Analysis of AI-Driven Security Approaches in DevSecOps: Challenges, Solutions, and Future Directions. arXiv:2504.19154v1 [cs.CR]. Available: https://arxiv.org/html/2504.19154v1
  11. Feisal, I. 2024. The Current and Future Use of AI in IT Operations. Sapience, Mar. Available: https://www.sapience-consulting.com/the-current-and-future-use-of-ai-in-it-operations/
  12. Claudio, F. 2024. AI Technologies and Business Value: Quantifying the Monetary Effects of AI Adoption in Firms. NYU Abu Dhabi Journal of Social Sciences. Available: https://sites.nyuad.nyu.edu/jss/wp-content/uploads/2024/10/AI.pdf
  13. Melissa, O’Brien et al., 2018. Using cognitive tech to connect customers to business operations.