I recently came across a book (Rodriguez, Julie, and Kaczmarek, Piotr. Visualizing Financial Data) where it describes an interesting tool used in finance. Known as Chernoff faces, it help you quickly identify anomalies within a bunch of multivariate data.
It got me thinking, this would be fun way to monitor/compare infra telemetry in real time. So I built chernoffOT, which pulls OpenTelemetry data from your infra, and renders a wall of Chernoff faces. Happy faces tells you everything's healthy, and an angry face means somethings broken. Basically, the idea is that you can monitor stuff in a quick glance without digging through graphs.
I recently came across a book (Rodriguez, Julie, and Kaczmarek, Piotr. Visualizing Financial Data) where it describes an interesting tool used in finance. Known as Chernoff faces, it help you quickly identify anomalies within a bunch of multivariate data.
It got me thinking, this would be fun way to monitor/compare infra telemetry in real time. So I built chernoffOT, which pulls OpenTelemetry data from your infra, and renders a wall of Chernoff faces. Happy faces tells you everything's healthy, and an angry face means somethings broken. Basically, the idea is that you can monitor stuff in a quick glance without digging through graphs.
Would love to know what you think!