TY  - JOUR
AB  - This literature review delves into the amalgamation of Artificial Intelligence (AI) technologies with DevOps methodologies to augment software development and deployment processes. The paper explores into the multifaceted contributions of AI across various facets of DevOps, encompassing source code management, continuous integration/continuous deployment (CI/CD) pipelines, deployment infrastructure, software testing frameworks, logging mechanisms, data analysis tools, and comprehensive reporting systems. Furthermore, the research investigates the impact of AI on team communication, collaboration, and workflow orchestration within DevOps environments. Through a meticulous analysis of AI-driven advancements, this review aims to shed light on the symbiotic relationship between AI and DevOps, showcasing their collective potential in fostering efficient, high-quality software delivery pipelines. The insights gleaned from this exploration offer valuable perspectives and opinions for researchers and practitioners seeking to leverage cutting-edge technologies for optimizing their software development lifecycle.
AU  - Ghantous, GB
DA  - 2024/01/01
EP  - 145
JO  - CEUR Workshop Proceedings
PB  - CEUR-WS
PY  - 2024/01/01
SP  - 133
TI  - Enhancing devops using ai
VL  - 3790
Y1  - 2024/01/01
Y2  - 2026/05/03
ER  -