Dashboard Reliability Engineering

A dashboard that shows stale data without indicating it is worse than no dashboard at all. It creates false confidence. The viewer makes a decision based on data that is hours or days old, believing it is current. Reliability engineering for dashboards requires three mechanisms: data freshness indicators (timestamp showing when each metric was last updated), pipeline health monitoring (alerts when the data pipeline fails or falls behind), and fallback displays (the dashboard shows a clear "data unavailable" indicator rather than stale numbers when the pipeline is down). Trust is the dashboard's most important feature. One incident where the dashboard showed wrong data and was used for a decision destroys trust that takes months to rebuild.