monte-carlo-asset-health

To check data asset health, resolve the specific asset and aggregate its freshness metrics, active alerts, and monitor status. This generates a structured health report highlighting last activity and upstream lineage dependencies for proactive triage.

A data asset health check includes last activity timestamps, active alerts, monitoring coverage, and upstream lineage health. By synthesizing these metrics, it provides a comprehensive risk assessment and identifies upstream issues affecting data warehouses and reports.

Assess upstream lineage issues by collecting dependency data via get_asset_lineage and aggregating it with freshness and alert metrics. This identifies risk factors in upstream dependencies, enabling proactive remediation planning for data warehouse assets.

Yes, you can monitor data freshness and alerts for individual assets by collecting metrics through get_table and get_alerts. This resolves the specified asset and synthesizes the results into a structured health report for triage.

Yes, this data observability approach works for individual assets across data warehouses, reports, and upstream dependencies. It resolves the asset and collects metrics to generate deterministic health checks and consistent outputs.

Monitoring upstream dependency health during triage highlights upstream issues and risk factors that impact the target asset. Aggregating lineage data with alerts and monitors supports proactive remediation planning and structured risk assessment.