Hi there,
I think my question is pretty common but looks like I can't find the
answer to it.
The problem I am trying to solve is: Let's say I have 100 metrics data
for cpuutilization for my instance. Each one is a time series for 1 day
with granularity of 1 min. So each one has 1,440 data point.
Now I want to select the instances which has an "average cpu
utilization" <= 10% for one day. How should I do this, basically how should
I calculate the "average cpu utilization" for one time series?
One way I am thinking to do is, for each time series, I find the
p90 data point and check if it is <= 10%. If it is, then I'll say that this
instance data is with "average cpu utilization" <= 10% and select it. But
looks like there's no function in Prometheus for me to find the p90 for a
time series, or I just didn't find the right function for it.
So, is above the right way to select? If yes, how can I find the
p90 for a time series? If not, then how should I solve this problem?
Thanks,
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