On Jun 26, 2012, at 9:37 AM, Jeremiah Peschka <jeremiah.pesc...@gmail.com> 
wrote:

> Scale out - zerg rush your data.
> 
> Many smaller systems means that, in theory, you're going to be affected less 
> by poor performance of any single instance. 
> 
> When you're building out instances in EC2 always remember that the largest 
> instance in a class of instances is most likely to be the only VM on that 
> server. So, an m2.4xlarge will probably be the only instance on that VM host. 
> The biggest downside to shared VMs is that you're also sharing a 1gigabit 
> ethernet connection. 
> 
> If you're okay with the possibility of sharing your connectivity with other 
> people, then don't worry about instance sizes and just keep scaling out.
> 
> If you do worry about what other jerks are doing, then try to size your 
> instances so that you're the only person on that piece of hardware. 
> Basically, the instances you're looking for are m1.xlarge, m2.4xlarge, 
> c1.xlarge, cc1.4xlarge, cc2.8xlarge. The upside is that you can also hog all 
> of the instance storage and take advantage of local storage AND get the 
> redundancy that Riak brings to the table - EBS volumes are RAIDed behind the 
> scenes.

Thanks!

That helps a lot!

Eric Anderson
Co-Founder
http://CopperEgg.com



> 
> On Tue, Jun 26, 2012 at 7:24 AM, Eric Anderson <ander...@copperegg.com> wrote:
> Hey all,
> 
> Question about EC2 (or scale in general): i'm building a decent cluster, to 
> handle 15-20k inserts/s and 5-10k gets per second.  (for a rough idea of what 
> I'm doing).  I've been playing with a 15-node cluster of m2.xlarge systems, 
> but I am wondering what is better: more small systems or less larger systems? 
>  
> 
> Any recommendations/hints/tricks would be a huge help!
> 
> Eric
> 
> 
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> 

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