Performance statistics aggregation
Bouchard Louis
louis.bouchard at canonical.com
Fri Jun 17 12:36:31 UTC 2011
Hello,
Le 17/06/2011 14:00, ubuntu-server-request at lists.ubuntu.com a écrit :
> Date: Thu, 16 Jun 2011 17:02:37 +0200
> From: Nicolas Barcet <nick.barcet at canonical.com>
> To: ubuntu-server <ubuntu-server at lists.ubuntu.com>
> Subject: Performance statistics aggregation
> Message-ID: <4DFA1B0D.7030306 at canonical.com>
> Content-Type: text/plain; charset="iso-8859-1"
>
> I think it would be good to have the server community's opinion on what
> should be our preferred performance statistics aggregation solution in
> Ubuntu. The 2 main contenders would be ganglia [1] and collectd [2],
> but something even better might be out there that I do not know about.
>
> [1] http://ganglia.sourceforge.net/
> [2] http://collectd.org/
>
> Thoughts?
> Nick
>
This is interesting as it is a topic that I brought up just before UDS-O
with my support colleagues. This might be somewhat off-topic with Nick's
request, but close enough to the topic to be worth mentioning.
Right now, unlike other enterprise distributions, no performance data of
any kind is collected automatically. While this is understandable on a
Desktop system, such data is quite useful in on a server.
Especially when time comes to deal with customer complains on the fact
that such and such upgrade did have a negative impact on performances.
Without historical performance data, investigation of such claims are
almost impossible.
Some distributions have used SAR, which is part of sysstat. Other
lightweight solutions exists, like collectl (L and not D) which lives at
http://collectl.sourceforge.net. Those two only take care of collecting
the data and do nothing about displaying it.
Should this be taken into account in defining a preferred performance
aggregation method ? Maybe another discussion thread is needed for that ?
Any opinion ?
Kind regards,
...Louis
--
Louis Bouchard
Server Support Analyst
Canonical Ltd
Ubuntu support: http://landscape.canonical.com
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