Dears,
I have 200+ hosts are being monitored by ganglia; everything is fine but the
central machine is always on high load.
I have integrated gmetad with rrdcached; the load got decreased but still not
acceptable.
I have moved the rrd files to ramdisk and the load gone.
Is there a way to
I got a substantial performance improvement out of a) using a ramdisk
and then b) recompiling the rrdtool libraries to disable the use of mmap
(they have a configure flag for this), and then recompiling gmetad with
those modified libraries. This keeps gmetad from bothering to read and
mmap()
Define unacceptable load? My gmetad host tracks ~2000 hosts (92k rrd files) and
is storing the rrds on a single hard drive. The load average hovers around 1.0.
rrdcached typically fixes everyone’s problems up to a few hundred thousand
rrd’s. A ram disk always gives the best performance but
Hey Ayman,
I am still in the process of building our first ganglia setup, but looking
around I think you can also fight the rrd onslaught by decreasing the
polling of the gmond/gmetad.
Specifically I looked at these two links:
https://www.youtube.com/watch?v=D4lzcNpnvzQ
This is a talk given in
mark-
i've seen this behavior on the machine running the ganglia demo page but
it's just a p2 with 128 mbs of memory (soon to be upgraded).
i'm rewriting gmetad in C right now and will be incorporating it into the
monitoring-core distribution soon. the biggest bottleneck right now with
Remember that RRD files are of a fixed size. In other words, they should
never grow beyond their original size when created. That's why they call
'em round-robin databases. :)
So the only reason new RRDs would be created is if new metrics were added
for existing hosts or if new hosts were
markp wrote:
Is anyone experiencing a high load with gmetad? I've run this daemon on
a high end intel 933mhz dual proc machine with 1gb of memory and RH
7.2. Loads get and stay as high as 3. I get worse results on single
processor machines, loads as high as 6.7 Kill the daemon and it drops
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