Observability is what keeps data platforms from becoming black boxes.

This category is about understanding what happens inside pipelines, workflows, tables, jobs, costs, freshness checks, data quality rules, and production incidents.

The focus is on logs, metrics, lineage, alerts, SLAs, run metadata, monitoring patterns, and the signals that help teams debug faster, trust data more, and operate platforms with less guesswork.