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Explores how AI elevates virtual machine monitoring: ingesting telemetry at scale, learning normal behavior, spotting anomalies, forecasting capacity, and triggering safe, automated remediation. It outlines architecture patterns, key VM metrics, SLO-driven alerts, security signal correlation, and rollout best practices to cut costs, boost reliability, and reduce operational toil.