linux performance monitoring

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The article explores how AI augments Linux performance monitoring by correlating metrics, logs, and traces to spot anomalies, forecast capacity, and speed root-cause analysis. It outlines data pipelines and model choices, alert tuning and dashboards, and offers a rollout roadmap and best practices while weighing benefits against risks like noise, overhead, data drift, and explainability.