Coralogix

Coralogix's engine.schema_fields dataset provides automatic schema versioning for observability pipelines, tracking structural changes over time without manual commits. The post covers three dimensions of schema health: Structure (auditing current field types and cardinality), Drift (detecting which datasets change most frequently using snapshot IDs), and Volatility (quantifying the rate and magnitude of change). Practical DataPrime query examples are provided for each dimension, along with a recommended workflow: baseline schemas, set up drift detection dashboards, define volatility thresholds per dataset criticality, and configure alerts on anomalous change rates rather than just the presence of change.

Monitor schema health with engine.schema_fields: Structure, Drift, and Volatility