Hi Daniel:

On Fri, Jul 4, 2008 at 1:52 AM,  <[EMAIL PROTECTED]> wrote:

> How scalable is gmetad meant to be?  How many nodes and/or metrics based
> on the assumption that samples are to be taken very frequently,
> typically less than 10 seconds apart?
>
> Has anyone reached any limitations in terms of network throughput for
> gathering data, or IO throughput for writing to the RRD files?
>
> Currently, it appears that scalability is achieved by dividing a server
> farm into groups of servers, and linking each group to a dedicated
> gmetad server.  However, is there a way to operate gmetad servers in a
> pool, possibly using shared storage for RRD files?
>
> This is one area that I might be able to contribute to, as I suspect our
> server estate is bigger than what a single gmetad can handle, especially
> if we add additional metrics.  It would be useful to know what existing
> work has been done on these issues.

Currently there are scalability issues when you monitor thousands of
nodes with one gmetad.  The current implementation of Ganglia store
each hosts' metrics as separate rrd files so as you increase the
number of hosts, the number of total rrd files increment by 30+ (by
default we collect roughly 30+ metrics for each host).

The current "workaround" for this scalability issue is to store the
rrds in tmpfs, which seems to have alleviated the problem for most
people.

There are currently a lot of discussions in the rrd mailing-lists
regarding ways to "accelerate" rrdtool (and Ganglia relies on
rrdtool).  I encourage you to read up on those discussions and
potentially participate:

http://www.mail-archive.com/[EMAIL PROTECTED]/msg02238.html
http://www.mail-archive.com/[EMAIL PROTECTED]/msg14362.html

Regarding distributed rrdtool, I believe that is also something the
rrd developers are working on, and I believe once that is implemented,
we will be able to provide this feature to Ganglia users.

Thanks for your interest.

Cheers,

Bernard

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