Scale up or out?

Eric Anderson anderson at copperegg.com
Wed Jun 27 10:14:49 EDT 2012


On Jun 26, 2012, at 9:37 AM, Jeremiah Peschka <jeremiah.peschka at 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 <anderson at 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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