Tuning a Riak cluster.

Richard Shaw richard at basho.com
Fri Feb 22 16:48:04 EST 2013


Hi Kevin,

What kind of benchmarking have you done on your VMs and what did you use ?

Kind Regards

Richard


On Fri, Feb 22, 2013 at 9:49 AM, Kevin Burton <rkevinburton at charter.net>wrote:

> Ok I suspected as much. This will give me more ammo when requesting more
> resources. Thank you.
> Now, back to the original question. Given that the physical hardware is
> taken care of. What parameters are most important when tuning a cluster.
> Again for arguments sake assume the same 4 node cluster with a read-write
> ratio of about 75 percent.
>
> On Feb 21, 2013, at 8:26 PM, Alexander Sicular <siculars at gmail.com> wrote:
>
> It can't be said enough times but the number one thing you can do to
> ensure that you are getting true performance (not to mention redundancy) is
> to use different physical hardware for each of your nodes. Under no
> circumstances should you have more than one VM (one logical node in a Riak
> cluster) on the same physical hardware. Also, use multiple
> connections/threads/parallelism/whatever on client side and be sure to hit
> all the nodes in the cluster haproxy roundrobin-esque when writing to Riak.
> Everything else is in the noise.
>
> -Alexander Sicular
>
> @siculars
>
> On Feb 21, 2013, at 9:04 PM, Kevin Burton <rkevinburton at charter.net>
> wrote:
>
>
> There each has about 20-30GB of disk space.  They each are a VM so I am
> not sure how to specify the CPU. They all seem to be 64 bit Intel
> processors but I could tell you the clock speed. The network is 1Gb
> Ethernet.****
>
> *From:* Sean Carey [mailto:carey at basho.com]
> *Sent:* Thursday, February 21, 2013 7:59 PM
> *To:* Kevin Burton
> *Cc:* riak-users at lists.basho.com
> *Subject:* Re: Tuning a Riak cluster.****
> ** **
> Kevin,****
> Disk and CPU, and Network?****
> ** **
>
>
> Sean Carey
> @densone****
>
> On Thursday, February 21, 2013 at 20:31, Kevin Burton wrote:****
>
>  ****
> I have a cluster of 4 machines (4 Linux VM machines each allocated about 1
> Gb of memory – yea I know it isn’t a lot). I would like to get some
> pointers on getting the fastest query time possible given these meager
> resources. Thank you.****
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