trend detection

Guide for developers and sysadmins on using AI to detect trends and anomalies in Linux log files. Covers log basics, setting up Python and the ELK Stack; collecting and structuring data; engineering features; training models (e.g., KMeans) and visualizing in Kibana; plus best practices for security, continuous retraining, and automated alerts to turn reactive monitoring into proactive operations.