log analytics

Staring at noisy 3 a.m. logs? This guide shows how to bolt lightweight AI onto Linux/Bash to turn journald streams into actionable anomalies: normalize with jq, aggregate features with awk, train an Isolation Forest in Python, then score/visualize in near real time—no vendor lock-in or heavy stack, just pipes, a small model, and practical tips for alerting, retraining, and scaling.