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Guide for full stack developers and sysadmins on using AI to turn massive logs into actionable insights: explains ML-based parsing for anomaly detection, performance tuning, security and prediction; surveys tools (ELK, Splunk, Fluentd/Kafka, TensorFlow/PyTorch); outlines steps from collection and cleaning to modeling and action; and shares best practices on continuous training, data security, collaboration, and scalability.