AI-Powered DevOps: Leveraging machine intelligence for seamless CI/CD and infrastructure optimization

Ossineke Chukwu Desmond *

Master’s Degree in Computer Science.
 
Research Article
International Journal of Science and Research Archive, 2022, 06(02), 094-107.
Article DOI: 10.30574/ijsra.2022.6.2.0150
Publication history: 
Received on 12 July 2022; revised on 22 August 2022; accepted on 24 August 2022
 
Abstract: 
AI integration into DevOps practices clearly assumes a giant leap forward in the effective, reliable, and even more elastic delivery of software. This work focuses on the application of artificial intelligence and machine learning in improving CI/CD practices, infrastructure, and software engineering processes. AI plays a major role in reducing the possibility of human errors and greatly improves the speed at which the development of systems is conducted thanks to the automation of activities like testing, resource tracking, and identification of abnormalities. Examples from Netflix, Google and other enterprises show how Predictive Analytics, Intelligent Deployment Strategies and Automation of Code reviews changed the facet of integrated software delivery. However, the complexity of integration, poor data quality, and organizational change resistances form part of the evaluation together with the benefits. From here, the work showcases how AI plays a pivotal role in optimizing DevOps, meeting infrastructure requirements flexibly, and how the integration empowers multiple teams when constructing the future of software engineering.
 
Keywords: 
DevOps; Continuous Integration; Continuous Deployment; Infrastructure Optimization; Machine Learning
 
Full text article in PDF: 
 
Copyright information: 

Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0