Thanks for the Advice Vince, however I am tied to Amazon for the next
few months while we figure out a better longer term option (probably
with RackSpace).

However I still need to figure out wether I should use more RAM or
more CPU to host more than one GeoServer instance in the same server.

Cheers,
Ariel.

On Fri, Nov 26, 2010 at 10:55 AM, Vince Lotito <[email protected]> wrote:
> Ariel,
>
> Since you are looking at server sizing in a cloud (Amazon's EC2) you may want 
> to consider other offerings in your analysis.  EC2 carves out memory and cpu 
> as a limit, while other cloud offerings (built on Zen, i.e RackSpace) carves 
> out memory and cpu as "committed" or garanteed minimum and thus your cloud 
> instance can swell to use the available resources on the machine as they are 
> available.  Also, you want to look into failure scenarios, the Zen offereings 
> are better at managing memory and disk in the recovery failde instances...
>
> Vince
>
>
>> -----Original Message-----
>> From: Ariel Nunez [mailto:[email protected]]
>> Sent: Friday, November 26, 2010 10:25 AM
>> To: [email protected]
>> Subject: [Geoserver-users] More CPU or more RAM?
>>
>> Hello list,
>>
>> I am having to host a few GeoNode instances and it uses GeoServer as
>> the backend. We have a lot of shapefile based datastores (some with
>> tens of megs and just a couple of polygons so GeoServer has a hard
>> time rendering them).
>>
>> I am going to host more than one GeoServer instance on a more powerful
>> machine but I have the following options and I don't know if I should
>> go for more CPUs or more RAM i will have one PostGIS db and 2-4
>> Geoservers:
>>
>> A) Extra Large Instance
>>
>> 15 GB memory
>> 8 EC2 Compute Units (4 virtual cores with 2 EC2 Compute Units each)
>> 1,690 GB instance storage
>> 64-bit platform
>> I/O Performance: High
>> API name: m1.xlarge
>>
>> B) High-CPU Extra Large Instance
>>
>> 7 GB of memory
>> 20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each)
>> 1690 GB of instance storage
>> 64-bit platform
>> I/O Performance: High
>> API name: c1.xlarge
>>
>> Thanks in advance for sharing your thoughts with me.
>>
>> Ariel.
>>
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