monte-carlo-proactive-monitoring

What problem does it solve?

Guides users to improve data monitoring coverage by sequencing existing Monte Carlo skills rather than building monitors from scratch, enabling a structured path from assessment to action.

Core Features & Use Cases

• Orchestrates a two-step workflow: first assess current table health via asset-health, then identify coverage gaps via monitoring-advisor, and finally transition to monitor creation.
• Supports estate-wide coverage analysis across warehouses and use cases, helping prioritize what to monitor and where to invest.
• Use Case: You want to raise observability across multiple data products and need a repeatable, guided process to move from discovery to action.

Quick Start

Invoke the proactive-monitoring workflow to assess your current monitoring coverage and identify gaps across your data estate.