system metrics

Build a local-first Linux monitoring dashboard that warns before incidents: a Bash collector logs CPU, load, memory, disk, network and temps to SQLite; a tiny Python Isolation Forest flags anomalies with top drivers; a watch/tmux terminal view surfaces status; systemd timers automate collection. Hackable, extendable, and private - no cloud, no vendors.

Practical Linux monitoring guide for AI workloads: start GPU-first to track utilization, VRAM, clocks and temps; baseline CPU, RAM, IO and thermals; spin up fast dashboards (Netdata/Glances); deploy Prometheus + Node Exporter + DCGM + Grafana for history and alerts. Includes apt/dnf/zypper commands, CSV logging, Grafana dashboards, copy/paste alert rules, and troubleshooting tips to fix IO stalls, OOMs, throttling and noisy neighbors.

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.