On Friday, April 4, 2014 7:14:39 PM UTC+2, Francisco Betancourt wrote:
>
> Hello LightDot
>
> Thanks for the interest in my post, hope we can come up with a way to 
> improve performance. This is my current setup:
>
>
>    - Host: Digital Ocean (and yes I do think their Droplets (as instances 
>    are called) are KVM)
>    - OS: Ubuntu 13.04
>    - Web Server: Apache 2.2
>    - Database: PostgreSQL 9.1
>    - Memory usage in peak times is about 1.4GB (out of 2GB)
>    - By the way I have no swap partition
>    - I don't know how to count db connections, but in my db definition I 
>    used the poolsize=50, but again I don't know how to check the amount of 
>    connections at any given time
>    - Disk usage acording to Digital Ocean metrics is medium never high 
>    (do truly I have never understand their graph)
>    - CPU usage at some points gets close to 50% (since this a dual core I 
>    would assume one of the cores is at 100%)
>
> I don't know what else to mention but, if I missed anything please ask. 
> And thanks again.
>

This is good information to start with. Do you have more statistics, such 
as top and iostat output at the peak times, etc. ?

Postgresql itself has statistics available, for example see 
http://www.postgresql.org/docs/9.1/static/monitoring-stats.html

Did you already tune apache or postgresql in any way? if so, what are your 
settings..? On the web2py side and for your current use case, the 
poolsize=50 setting might be ok or not, depending on your apache/pg setup...

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