Hi, I'm looking for a little inspiration and experience here.
We have a customer that has about 400 interfaces and he'd like to get an overview of "How these interfaces are doing". When there are more than about 15-20, looking at each individual graph simply brakes down. My user wants an idea of what the "normal" situation is, and information about the worst outliers / extreme cases. Looking at average and standard deviation is a possibility, but most of my users (and I) really have no good intuitive feeling for what standard deviation really "means". Plus "outlier/extreme" information is lost. I've seen that smokeping does something interesting, see e.g. http://oss.oetiker.ch/smokeping-demo/img/Customers/OP/james~octopus_last_10800.png The "historgram" approach where darker grey implies more datapoints in this "region" could be cool. This gives the overview. Have no idea how this is accomplished, though. I was thinking of using a "histogram" approach like above overlayed with showing the actual graphs of the N worst outliers/extremes. But that implies lots of scripting and analysis to create the histogram (I'm guessing) and to identify the outliers. So: What have you guys done when creating an overview of many statistics? I'll leave you with this picture from the gallery: http://oss.oetiker.ch/rrdtool/gallery/576_nodes.png This is exactly the situation I want to avoid.... Sincerely, Peter -- Peter Valdemar Mørch http://www.morch.com
_______________________________________________ rrd-users mailing list rrd-users@lists.oetiker.ch https://lists.oetiker.ch/cgi-bin/listinfo/rrd-users
