linux performance monitoring

Build a tiny, Bash-friendly AI monitor for Linux that learns your host's normal behavior and flags real anomalies. Collect a 5-15 min vmstat baseline, train a lightweight Isolation Forest in Python, then score per-second samples to alert on unusual CPU, I/O, swap, or run-queue patterns. Runs locally with no agents or cloud, optional Netdata dashboard, plus tips to tune, harden, and integrate alerts to cut false noise.

An actionable guide to modernizing Linux performance monitoring with AI: start with sysstat and Netdata for low-overhead metrics, enable Netdata's built-in anomaly detection, add a tiny Python IsolationForest for DIY alerts, and forecast capacity (e.g., days-to-90% disks) — practical steps, cron snippets, and real-world fixes that surface issues early and reduce alert fatigue.