How about sending the number of unreachable hosts into mrtg? You'll get some pretty graphs and mrtg has some efficient ways of storing(and letting you see) data over a long time. mrtg also has threshold levels for alerts. http://people.ee.ethz.ch/~oetiker/webtools/mrtg/mrtg.html
As for being notified when a certain percent are down with just mon you could have your fping monitor store the number of unreachable hosts to a file(or db) and write another monitor that simply looked at that data and raised an alert based on the that number. Although it would be cool if mon supported something like this already. I am not all that familiar with it yet. But it looks really cool so far, :) Kreibaum, Uwe wrote: > Hello, > > we're running mon to monitor a net of (currently) 1.100 nodes. To gather > long-time > statistics on failures, we'd like to store the results from fping in a > database. Has > anyone done something like this before? I had a look at dtquery but must > admit > that it is far beyond my current perl know-how to adapt it... bugzilla-alert > would > be fine if there'd be an upalert to close the bugs (which is not possible > because > mon doesn't know the bug-id...) > > Furthermore, I'm looking for a way to classify the failures reported by > fping: we've > grouped the hosts by 50 per hostgroup (will be abt. 300 when everything is > installed). > Generally, 3 to 5 hosts are not reachable (turned off or whatever) which is > our > normal condition so it only needs to be recorded. In case of a major network > failure, > the numbers go up to 70 percent or even the whole hostgroup is down. Is > there a > way to generate alerts only in these cases? E.g. if more than 30 per cent > are down, > generate alert 1, otherwise just log the downtime (or whatever is > appropriate). > > I think (though I haven't tried it) this is a different functionality from > the severity > patch just posted to the list...? > > Uwe > > > -- _.,-*~`^'~*-,._ Danny Rathjens _.,-*~`^'~*-,._ "The least initial deviation from the truth is multiplied later a thousandfold." -- Aristotle
