Artificial Intelligence for DevOps and Site Reliability Engineering: Theories, Applications, and Future Directions
Keywords:
Artificial Intelligence , DevOps , Site Reliability, Cloud Computing , Automation , Machine Learning , ScalabilitySynopsis
This book offers an in-depth examination of the transformative impact Artificial Intelligence (AI) and Machine Learning (ML) have on DevOps and Site Reliability Engineering (SRE). It sits at the intersection of the cutting edge in AI and at how actual operations can use smart technology to refine your CI/CD pipeline, tell when incidents are rolling your way, help to automate resolution and improve the eyes on monitoring. Readers will learn complete details on AI-driven observability, finding anomalies, performance tuning, and capacity planning—helping organizations to predict failures, improve up times and accelerate software with a rock rock-solid foundation. With clear and detailed explanations, bolstered by case studies with leaders from the industry, and actionable frameworks to implementation, DevOps engineers, SRE professionals, and IT executives will learn how to effectively operationalize AI within their environments. It also includes critical content on AI ethics, transparency, and governance—a must for today's high-stakes production environments. Readers will walk away fully prepared to use AI to automate the repetitive and time-consuming tasks based on data and to make data-informed decisions that strengthen their infrastructure and deliver operational excellence.
References
Erich FM, Amrit C, Daneva M. A qualitative study of DevOps usage in practice. Journal of software: Evolution and Process. 2017 Jun;29(6):e1885.
Qumer Gill A, Loumish A, Riyat I, Han S. DevOps for information management systems. VINE Journal of Information and Knowledge Management Systems. 2018 Feb 12;48(1):122-39.
Ugwueze VU, Chukwunweike JN. Continuous integration and deployment strategies for streamlined DevOps in software engineering and application delivery. Int J Comput Appl Technol Res. 2024;14(1):1-24.
Kim G, Humble J, Debois P, Willis J, Forsgren N. The DevOps handbook: How to create world-class agility, reliability, & security in technology organizations. It Revolution; 2021 Nov 30.
Myllynen T, Kamau E, Mustapha SD, Babatunde GO, Collins A. Review of advances in AI-powered monitoring and diagnostics for CI/CD pipelines. International Journal of Multidisciplinary Research and Growth Evaluation. 2024 Jan;5(1):1119-30.
Panda SP. The Evolution and Defense Against Social Engineering and Phishing Attacks. International Journal of Science and Research (IJSR). 2025 Jan 1.
Lo D. Trustworthy and synergistic artificial intelligence for software engineering: Vision and roadmaps. In2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE) 2023 May 14 (pp. 69-85). IEEE.
Battina DS. An intelligent devops platform research and design based on machine learning. training. 2019 Mar;6(3).
Battina DS. Ai-augmented automation for devops, a model-based framework for continuous development in cyber-physical systems. International Journal of Creative Research Thoughts (IJCRT), ISSN. 2016 Sep 3:2320-882.
Panda SP. Securing 5G Critical Interfaces: A Zero Trust Approach for Next-Generation Network Resilience. In2025 12th International Conference on Information Technology (ICIT) 2025 May 27 (pp. 141-146). IEEE.
Calvo-Rubio LM, Ufarte-Ruiz MJ. Artificial intelligence and journalism: Systematic review of scientific production in Web of Science and Scopus (2008-2019).
Hannousse A, Yahiouche S. Towards benchmark datasets for machine learning based website phishing detection: An experimental study. Engineering Applications of Artificial Intelligence. 2021 Sep 1;104:104347.
Divya S, Indumathi V, Ishwarya S, Priyasankari M, Devi SK. A self-diagnosis medical chatbot using artificial intelligence. Journal of Web Development and Web Designing. 2018 Apr 7;3(1):1-7.
Bonner E, Lege R, Frazier E. Large Language Model-Based Artificial Intelligence in the Language Classroom: Practical Ideas for Teaching. Teaching English with Technology. 2023;23(1):23-41.









