Why Observability Needs Controllability

Observation and control are two sides of the same coin. This post explores what happens when they drift apart: telemetry turns into a static archive, projections feel out of reach, and AI gets stuck with the limits of the data it’s handed. A real incident shows the difference when the pair reunites—treating situations as key players, pulling evidence exactly when needed, and checking interventions…