International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Cloud-Native Devops For Oracle Databases: Integrating Ci/Cd With Ai-Powered Pipelines

Author(s) Raghu Murthy Shankeshi
Country United States
Abstract Software delivery reaches revolutionary advancement through cloud-native DevOps methods since they streamline operational processes that unite scale-up potential with enhanced operational effects. The deployment of these procedures proves more complex when Oracle databases are involved because they require the combination of traditional business constraints with complicated system architecture. The research examines how artificial intelligence technology operates inside CI/CD pipelines for enhancing cloud-native database operational capabilities. The deployment optimization process integrates security error reduction through automated AI systems which maintain organizational security policy compliance. The developed system integrates AI functionality to connect CI/CD pipelines to Oracle databases and displays its performance through established metrics noted in studied case deployments. The research indicates that DevOps systems deliver outstanding database provisioning alongside version control functions and continuous monitoring capabilities with their implementation of AI technology. The paper presents strategic guidance concerning AI-based automated DevOps database methods to enhance operational success while setting up operational resilience.
Keywords Cloud-Native DevOps, Oracle Databases, CI/CD Pipelines, AI-Powered Automation, Database Deployment
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 4, Issue 5, September-October 2022
Published On 2022-10-11
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E-ISSN 2582-2160
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