Semantic Link - Semantic Model Chaos Lab
# Semantic Link - Semantic Model Chaos Lab
Semantic Model Chaos Lab brings chaos engineering to Fabric semantic models. It uses Semantic Link to create a lightweight digital twin of a selected semantic model: metadata, measures, relationships, roles, Copilot readiness signals, and baseline DAX checks.
The notebook then simulates realistic schema, relationship, DAX, metadata, and security changes against that model twin to measure blast radius before deployment. The generated release gate report shows broken measures, value drift, impacted model objects, security role risk, Copilot readiness degradation, and suggested remediation.
The result is a reusable developer tool that helps BI teams prevent semantic model incidents before they reach production.
Note: I realize the official submission deadline has passed, but I wanted to share this as a late community showcase because the idea explores a different angle for Semantic Link: model twins, chaos engineering, and release gates for semantic models.