#metrics
2 articles
01
·Cloud & Ops·★ MEMBER·10 min read
Observability — Logs, Metrics, and Traces in Practice
When the phone rings at 3 a.m., can you answer without logging into production and looking around? Starting from zero, this piece builds up structured logging, metric cardinality, trace context propagation, and SLOs with error budgets — then lines them all up as a single motion: notice, narrow, confirm.
02
·Machine Learning Basics·★ MEMBER·8 min read
Overfitting and Evaluation Design — Be Suspicious of 99% Accuracy
Why a model that fits its training data perfectly falls apart in production: the division of labour between train, validation and test, cross-validation, the data leakage that ruins more projects than any modelling mistake, and how accuracy lies on imbalanced data.