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  Introduction Enterprise IT ecosystems today are significantly more complex than they were a decade ago. Organizations now operate across multi-cloud environments, microservices architectures, containerized applications, and distributed systems that generate enormous volumes of operational data. Every second, systems produce logs, metrics, traces, and alerts that require continuous monitoring and analysis. However, traditional IT operations teams are struggling to keep up with this scale of data and system complexity. One of the most pressing challenges is alert fatigue, where engineers are overwhelmed by thousands of notifications, many of which are not actionable. This leads to slower incident response times, missed critical issues, and operational inefficiencies. Traditional IT operations models are reactive in nature, meaning they respond only after problems occur. In modern digital businesses where uptime and user experience are critical, this approach is no longer sufficient...