AI Agents for Cloud Operations: Copilot Integration with Azure Monitor and Defender
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V7I1P104Keywords:
Azure Copilot, Azure Monitor, Microsoft Defender For Cloud, Aiops, Generative AI, Incident Management, Automation, Observability, AI Agents, Self-Healing Infrastructure, Large Language Models (Llms), Predictive MaintenanceAbstract
The increasing complexity of cloud environments has created an urgent need for intelligent, context-aware operational management systems. Traditional monitoring and incident response rely heavily on manual analysis, often resulting in delays and inefficiencies. Microsoft’s Copilot for Azure, integrated with Azure Monitor and Microsoft Defender for Cloud, introduces a new paradigm in AI-driven cloud operations where natural language models assist in incident detection, root cause analysis, and automated remediation. This paper explores the architecture, methodologies, and real-world applications of AI agents within Azure operations. It demonstrates how Copilot leverages telemetry data, AI models, and automation workflows to create a self-optimizing, resilient, and secure cloud ecosystem.
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