![]() ![]() Need help monitoring hardware? Contact us. Your existing alerts on end-user application latency should already cover this, and more. This could be useful for debugging performance, but is not something to alert on as it is cause rather than a symptom. This as one of the two copies is now always waiting to be scheduled on core 0. For example if I run two competing copies of taskset 1 cat /dev/urandom > /dev/null for a minute to put load on CPU 0 (the first argument to taskset is a bitmask), then you can see the jump in the rate from a few milliseconds of overhead per second to around one second per second: The latter is not something which you could figure out from node_cpu_seconds_total alone. ![]() If you wish to make use of these metrics, you. Node_schedstat_waiting_seconds_total can be used to spot not only if you have more processes to be run than CPU time available to handle them, but also indicate how many such processes there on average. Flow nodes produce health metrics in the form of Prometheus metrics, exposed from the node software on /metrics. node_schedstat_waiting_seconds_total is how long processes had to be wait to be scheduled on that CPU. Node_schedstat_running_seconds_total is how much time was spent doing running processes, and node_schedstat_timeslices_total track the number of slices of time that were used to do so. # TYPE node_schedstat_running_seconds_total counter The node exporter current exposes three of these: # HELP node_schedstat_running_seconds_total Number of seconds CPU spent running a process. ![]()
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