Observability¶
Table of Contents
Distribution Shift¶
Identification¶
Statistical & Distance-Based Methods¶
Population Stability Index (PSI) / Jensen-Shannon Divergence (JSD)
Kolmogorov-Smirnov (KS) Test
Model Performance Monitoring¶
Live A/B Testing with Shadow Models
Error Analysis on Recent Queries
Embedding-Based Drift Detection¶
Measuring Drift in Learned Representations (e.g., PCA, t-SNE)
Contrastive Learning for Drift Detection
Operational Monitoring¶
ML Monitoring & Logging: Model drift detection, feature monitoring, data pipelines.
Data Drift and Concept Drift: Detection techniques, adaptive retraining pipelines.
Resources¶
[arize.com] Drift Metrics: a Quickstart Guide
[arize.com] Courses on Observability