AI for Log Analysis: Keep Humans in the Loop

A DevOps engineer argues that AI should assist, not replace, humans in log analysis by pattern-matching across thousands of lines and translating jargon. The article emphasizes redacting sensitive data before feeding logs to models and keeping the human as the final decision-maker. It provides practical workflows for using language models to rank hypotheses without autonomous action.