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This post details the formulation of OOM kill prediction as a machine learning problem. It describes the data collection process, feature engineering, model selection (e.g., gradient boosted trees), and evaluation metrics used to predict OOM kills on the Netflix app. The goal is to reduce OOM kills by understanding their root causes and developing predictive capabilities.