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Balancing Insight and Machine Learning in System Observability
This chapter explores the interplay between human understanding and machine learning in enhancing system observability. It emphasizes the importance of asking insightful questions, understanding production systems, and maintaining a balance between exploring issues and focusing on essential tasks.