AI-Augmented DevOps for Large-Scale Retail Platforms: A Framework for Intelligent CI/CD, Automated Testing, and Deployment Optimization
Keywords:
AI-Augmented DevOps, Intelligent CI/CD, Automated Software Testing, Deployment Optimization, Large-Scale Retail Platforms, AIOps, DevOps Automation, Continuous Integration and Continuous Deployment, Machine Learning for DevOps, Intelligent Release Management.Abstract
Continuous deployment (CD) pipelines,responsible for deploying every approved change into production, are rapidly becoming the default for softwaredelivery in many organisations. Yet enterprises with extensivemicroservices architectures, such as large retailers, face seriouschallenges when deploying numerous changes
References
[1] Kalisetty, S. (2023). Big Data–Driven Cloud Collaboration Models for Enhancing Supplier–Retailer Synchronization in Mod-ern Manufacturing Supply Chains. Journal of Computational Analy-sis and Applications (JoCAAA), 31(4), 2188-2205.
Downloads
Published
2024-09-20
How to Cite
Venkateswara Rao Movva. (2024). AI-Augmented DevOps for Large-Scale Retail Platforms: A Framework for Intelligent CI/CD, Automated Testing, and Deployment Optimization. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7759–7765. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5827
Issue
Section
Articles
