I tried just changing the size of the node_0-24.jpg as well as the overloaded graphic, only to have them display the same size - but blurry (streached to fit). I'm not a php/template power expert but a quick look at cluster_view.php (tpl) didn't reveal anything (that I saw :^))
>>The only modifications I've made have been to display more nodes per row >>in >>the graphical color-coded node status area and use smaller node status >>graphics. Keith Poirier HPTC North America Hewlett-Packard Company -----Original Message----- From: Steven Wagner [mailto:[EMAIL PROTECTED] Sent: Tuesday, April 01, 2003 12:54 PM To: Poirier, Keith Cc: [email protected] Subject: Re: [Ganglia-general] displays on large (1000 nodes) cluster Poirier, Keith wrote: > Just wondering if anyone has done any modification of the Ganglia > Web-fronted with regards to large (1000+ nodes) clusters. I see that the > meta view handles multiple clusters, but when it comes to a single large > cluster, the graphics of the nodes (up/down/loaded etc) and the graphs > that appear on the cluster_view, can be overwhelming. > > I wanted to see what others have done before trying to reinvent the wheel... > > > > Keith Poirier > > Hewlett Packard > > [EMAIL PROTECTED] > The only modifications I've made have been to display more nodes per row in the graphical color-coded node status area and use smaller node status graphics. You may also want to investigate a "max_graphs" value in the web front-end config code... Using a dual-processor Sun E420R, the full gmetad stream (which the web front-end parses on every non-graph.php page load) takes about ten seconds to parse. I'm agitating to put a query engine of some kind into gmetad on the developers list (but, of course, I don't want to write it). :) Also, the summary RRDs seem to stop updating after a while (== "anywhere from an hour to two days"). Not sure what that's about... perhaps it's a special Solaris-only memleak in librrdtool... Those are the only real gotchas I've encountered so far. I'd be interested to hear what sort of gmetad performance others are seeing in large clusters. And especially what kind of system's running their web front-end. :)
