LagLens

LagLens is a web app (with optional lightweight desktop agent) that measures and explains the gap between “real-time” and “actually updated” across your analytics stack. It continuously probes event pipelines, warehouses, BI dashboards, and alerting tools to quantify end-to-end data freshness, processing lag, and missing-event rates. Instead of arguing in meetings about whether numbers are “wrong,” teams get a single, shared freshness SLA view: per metric, per dashboard, per source. LagLens highlights where delay is introduced (SDK, queue, stream processor, warehouse load, dbt job, BI cache), estimates business impact (e.g., revenue at risk from stale conversion data), and recommends fixes. It’s not a full observability platform; it’s a focused “temporal truth” layer that sits on top of existing tools. Expect some setup friction: you’ll need connectors and a few test events, but the payoff is fewer false alarms and fewer bad decisions made on stale data.