AI Driven Cloud Native Enterprise Reliability Framework for Predictive Analytics and Intelligent DevOps Automation
Abstract
Cloud-native enterprise systems have transformed modern digital infrastructures by enabling scalability, flexibility, and rapid deployment across distributed environments. However, the increasing complexity of microservices, container orchestration, and hybrid cloud ecosystems has introduced significant reliability and operational challenges. This research proposes an AI-driven cloud-native enterprise reliability framework that integrates predictive analytics with intelligent DevOps automation to improve system resilience, operational efficiency, and proactive incident management. The framework leverages machine learning algorithms, anomaly detection models, and real-time telemetry data to predict failures before they occur and automate corrective actions through intelligent orchestration mechanisms. By combining artificial intelligence with DevOps practices such as continuous integration, continuous delivery, infrastructure as code, and automated monitoring, organizations can reduce downtime, enhance service availability, and optimize resource utilization. The proposed framework also incorporates Kubernetes-based orchestration, observability platforms, and reinforcement learning techniques to support adaptive decision-making in dynamic cloud environments. Furthermore, the study evaluates the effectiveness of predictive maintenance and automated remediation in minimizing operational risks and improving enterprise reliability. The framework demonstrates how AI-powered DevOps ecosystems can support self-healing infrastructure, faster incident response, and continuous service optimization. This research contributes to the advancement of autonomous cloud operations and intelligent enterprise infrastructure management in modern digital transformation initiatives.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 8 No. 4 (2025): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
14633-14642 |
Published |
July 16, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Ganesh Gurudu (%2025). AI Driven Cloud Native Enterprise Reliability Framework for Predictive Analytics and Intelligent DevOps Automation. International Journal of Science, Research and Technology , Vol. 8 No. 4 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 14633-14642. https://doi.org/10.15662/IJSRAT.2025.0804008 |
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