Autonomous Cloud Operations: The Role of AI-Driven DevOps in Self-Healing Infrastructure
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V4I1P108Keywords:
Autonomous Cloud Operations, AI-Driven DevOps, Self-Healing Infrastructure, Artificial Intelligence in Cloud Computing, Machine Learning in DevOps, Infrastructure Automation, Cloud Monitoring and DiagnosticsAbstract
The rapidly evolving landscape of cloud computing has led to the increasing adoption of autonomous cloud operations. A key component of this transformation is the role of Artificial Intelligence (AI)-driven DevOps in creating self-healing infrastructure. By combining AI, machine learning, and automation, cloud environments are becoming capable of monitoring, diagnosing, and resolving operational issues with minimal human intervention. AI-driven DevOps enables organizations to proactively manage their infrastructure, ensuring higher availability, reliability, and efficiency. This paper investigates the integration of AI in DevOps practices and its implications for building self-healing infrastructure. It examines how AI facilitates automation in cloud operations, offering significant benefits such as improved system resilience, reduced operational costs, and faster recovery times. Moreover, the paper explores challenges associated with the implementation of AI-driven DevOps, such as data quality, integration complexities, and security concerns. By analyzing case studies and real-world applications, we offer insights into the practical applications of AI in cloud environments and discuss future trends in autonomous cloud operations. The convergence of AI and DevOps holds the potential to revolutionize cloud infrastructure management, ushering in an era of smarter, more efficient systems
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