Olivia, Bennett and Ethan, McAllister and Chloe, Harrison (2024) The Convergence of DevOps, MLOps, and AIOps for Continuous Software Delivery. Innovative: International Multi-disciplinary Journal of Applied Technology, 2 (12). pp. 101-118. ISSN 2995-486X

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Abstract

The accelerating pace of digital transformation has driven organizations to adopt DevOps, MLOps, and AIOps as critical paradigms for agile software delivery, intelligent operations, and data-driven decision-making. While each framework addresses distinct challenges—DevOps streamlining continuous integration and deployment (CI/CD), MLOps operationalizing machine learning pipelines, and AIOps enabling AI-driven monitoring and incident response—their convergence represents a paradigm shift in continuous software delivery. This article explores how the integration of these practices creates a unified ecosystem that supports end-to-end automation, adaptive learning, and intelligent orchestration across the software development lifecycle.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	26 Sep 2025 11:37
Last Modified:	26 Sep 2025 11:37
URI:	http://eprints.umsida.ac.id/id/eprint/16384

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