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This article explores the utilization of AI to analyze log files for trend detection and anomaly identification, crucial for full stack developers and system administrators. It introduces AI techniques like machine learning libraries and the ELK Stack to automate log management in a Linux environment, enhancing system security and performance. Details include setting up the environment, data collection, feature engineering, model training, and analytics visualization.