Thanks Mark! We're deploying on EC2 (always a good time). Seems like the 
mixture of different indices that have different usage profiles is leading 
to some performance issues that a dedicated cluster would be more 
appropriate for.


On Wednesday, July 23, 2014 7:04:34 PM UTC-4, Mark Walkom wrote:
>
> Depends what your hardware profiles are like, and a bunch of other things 
> related to you and your environment.
> eg If you have high end servers then it makes sense to put your heavy 
> read/write indexes into a cluster on those, then leave the rest for more 
> average machines.
>
> We have multiple clusters based on use. One for an application text based 
> search, one for application logging, one for system logging and we're going 
> to spin up another one for a new project we're starting. This might sound 
> like a waste of resources, and it probably is to a degree, but we have the 
> infrastructure for it and it makes things easier to manage.
>
> Regards,
> Mark Walkom
>
> Infrastructure Engineer
> Campaign Monitor
> email: ma...@campaignmonitor.com <javascript:>
> web: www.campaignmonitor.com
>
>
> On 24 July 2014 00:34, Alex Kehayias <al...@shareablee.com <javascript:>> 
> wrote:
>
>> I have several large indices (100M docs) on the same cluster. Is there 
>> any advice of when it is appropriate to separate into multiple clusters vs 
>> one large one? Each index has a slightly different usage profile (read vs 
>> write heavy, update vs insert). How many indices would you recommend for a 
>> single cluster? Is it ok to have many large indices on the same cluster? 
>>
>> Thanks!
>>
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