Hello.
Currently I’m making a dashboard to detect some device errors using error
counter. That error counter is a cumulative data, so I think delta() can be
a good function to detection.
But, delta value cannot show the real differences between time series,
output is always little bit bigger than real defferences.
Following is the query and result using grafana. When I use prometheus
directly, it also similar result using 15s ~ 1m interval.
*Query*:
1. normal query: error_counter_something{job=“monitor”, device=“dev0”,
serial=“xxxxxxxx”}
2. delta query: delta(error_counter_something{job=“monitor”,
device=“dev0”, serial=“xxxxxxxx”}[$__interval] > 0)
*Time Range*: 2020-11-19 16:16:00 ~ 2020-11-19 16:20:00 with 15sec interval
*result*
16:16:15~30 raise 2 errors on device and move that error counter value from
7616 to 7618,
but the delta query shows result of 3
time , delta ,
normal
2020-11-19 16:16:00, , 7616
2020-11-19 16:16:15, , 7616
2020-11-19 16:16:30, 3, 7618
2020-11-19 16:16:45, , 7618
2020-11-19 16:17:00, , 7618
(keep these value until end of query time range)
Am I misuse about the delta() function? I’m so pleasure If anybody told me
how can I detect error count using delta() or any other way.
(I’m sorry that I can’t share the detail query information and data
snapshot)
Thanks!
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