Hi Alex:

Actually I wonder if we should check your code into trunk as "contrib"
code...  what do others think?

Cheers,

Bernard 

> -----Original Message-----
> From: Alex Balk [mailto:[EMAIL PROTECTED] 
> Sent: Friday, June 09, 2006 12:32
> To: Bernard Li
> Cc: Stackpole, Chris; [email protected]
> Subject: Re: [Ganglia-general] Ganglia Alert and Tracking
> 
> 
> 
> Bernard Li wrote:
> 
> >> I am trying to write a script that pulls the info from netcat 
> >> and averages out some numbers but I believe that there is a 
> >> easier way. Does ganglia store data in such a way that I 
> >> could pull this type of information? This appears so useful 
> >> to me that I am sure that there are others that have tried 
> >> this, are there any ideas and suggestions?
> >>     
> >
> > Sorry for hijacking your thread Chris but your question leads me to
> > think that there are some interesting data stored in the 
> RRD database,
> > perhaps we could write a script to mine this data and provide some
> > interesting historical reports?
> >   
> 
> Actually, my patch for "custom graphs" accomplishes exactly 
> what you're
> talking about.
> It allows you to create a template and then load it for whatever view
> (meta, cluster, host) you desire. Couple this with gmetrics 
> and you can
> pretty much generate a graph for anything (read - visually 
> represent any
> aspect of your data). It also supports rrdtool's CDEFs, so you can do
> data transformations as well.
> Oh, and the rendering backend may be called from within an 
> <IMG SRC=...>
> which allows creating "customized dashboards". I've started working on
> one where customers can view different utilizations graphs 
> based on the
> cluster specialty (batch, interactive, infrastructure), NFS 
> statistics,
> parallel job utilization (how much does process named X consume across
> multiple hosts), etc.
> 
> 
> What I'm really missing is a method to "generate" aggregate 
> data on the
> fly. Something like "take these 3 hosts, all from different clusters,
> and show me their aggregate CPU consumption".
> 
> Cheers,
> Alex
> 

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