Five layers of evidence, one timeline, one clock.

The reason incidents take hours is rarely that the data is missing. It is that the data is in five tools with five clocks, and correlating them by hand is the actual work.

MonOps measures at five layers and writes them all against the same incident: inside the machine, the machine itself, your cluster, the network edge, and your application. Scheduling delays, memory pressure, failed operations, disk and network stalls, container events, endpoint checks and response-time distribution all land on one timeline.

It reads from native operating-system interfaces instead of asking your application to report on itself, so there is nothing to instrument and no library to keep current. If one measurement is unavailable on a given kernel, that measurement is skipped and the rest carry on — monitoring degrades, it does not die.