From: Gnanakumar <gnanam@zoniac.com>
To: 'Kevin Grittner' <Kevin.Grittner@wicourts.gov>
To: pgsql-admin@postgresql.org
Subject: Re: Advice/guideline on increasing shared_buffers and kernel parameters
Date: Thu, 10 May 2012 14:02:56 +0530
Message-ID: <005e01cd2e87$81d58850$858098f0$@com> (raw)
In-Reply-To: <005401cd2e7c$19fb1480$4df13d80$@com>
References: <00da01cd2ce7$35d17780$a1746680$@com>
<00e101cd2cfc$b6140b00$223c2100$@com>
<4FA8E99B0200002500047A16@gw.wicourts.gov>
<001f01cd2dd0$4187f8d0$c497ea70$@com>
<4FAA3F740200002500047A73@gw.wicourts.gov>
<005401cd2e7c$19fb1480$4df13d80$@com>
> A formula which has held up pretty well across a lot of benchmarks
> for years is that for optimal throughput the number of active
> connections should be somewhere near
> ((core_count * 2) + effective_spindle_count).
Our entire Production application stack is setup in Amazon EC2 cloud
environment, that includes database server also. So, in that case, how do I
find out "effective_spindle_count"? I know "core_count" can be determined
from Amazon EC2 instance type. Per Amazon EC2, EBS volumes are reportedly a
shared resource.
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To: pgsql-admin@postgresql.org
Cc: gnanam@zoniac.com, Kevin.Grittner@wicourts.gov
Subject: Re: Advice/guideline on increasing shared_buffers and kernel parameters
In-Reply-To: <005e01cd2e87$81d58850$858098f0$@com>
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