Migration Observability: Measure Meaning, Not Movement 

Traditional operational observability focuses on metrics like latency and errors, but migration observability requires a different approach: measuring semantic drift to understand changes in system behavior. This matters because semantic drift can indicate issues with data consistency and integrity. Engineers should prioritize monitoring semantic drift during migrations to ensure a smooth transition. This involves tracking changes in data meaning and behavior.