Enterprise Grade AI Driven DevOps Platforms for Resilient Cloud Infrastructure Automation
Abstract
Enterprise-grade AI-driven DevOps platforms are transforming cloud infrastructure automation by integrating Artificial Intelligence, machine learning, predictive analytics, and intelligent orchestration into modern software development and operational workflows. As enterprises increasingly adopt cloud-native technologies, microservices, containerized applications, and distributed infrastructures, the demand for scalable, reliable, and automated DevOps solutions has significantly increased. Traditional DevOps practices often rely on manual monitoring, static automation scripts, and reactive operational management, which may not efficiently address the complexity and dynamic nature of modern cloud environments. AI-driven DevOps platforms overcome these limitations by enabling autonomous infrastructure management, predictive failure detection, intelligent resource optimization, and automated incident response.
This study explores enterprise-grade AI-driven DevOps platforms designed for resilient cloud infrastructure automation. The research examines the integration of AI with continuous integration and continuous deployment (CI/CD) pipelines, cloud orchestration systems, observability platforms, infrastructure-as-code frameworks, and automated testing environments. It also analyzes how machine learning algorithms enhance system reliability, deployment efficiency, security monitoring, and operational scalability. Furthermore, the study investigates implementation challenges including infrastructure complexity, cybersecurity risks, computational overhead, and integration difficulties with legacy systems. The findings indicate that AI-driven DevOps platforms significantly improve operational efficiency, reduce downtime, optimize resource utilization, and strengthen cloud infrastructure resilience, making them essential for future intelligent enterprise software engineering and digital transformation initiatives.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 8 No. 6 (2025): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
15359-15367 |
Published |
December 18, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Sarath Babu Gosipathala (%2025). Enterprise Grade AI Driven DevOps Platforms for Resilient Cloud Infrastructure Automation. International Journal of Science, Research and Technology , Vol. 8 No. 6 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 15359-15367. https://doi.org/10.15662/IJSRAT.2025.0806011 |
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