Thank you Mark,

Its good to know it's possible. Now I just need to start testing, lots. :) 

My target is a retention of 10 days and with 5 clusters (one per 
datacenter) behind a tribe node. The problem is that if I do hourly 
indexes, thats 1200 indexes for 10 days (5 * 24 * 10 ). Kibana (the primary 
use case) does not work well over a few hundred indexes. Aliases may help, 
but that will require some custom code.

On Saturday, September 20, 2014 3:35:47 PM UTC-7, Mark Walkom wrote:
>
> That's a massive volume! You should be able to get this to work, though 
> you'll need to plan things and have access to a large number of servers and 
> easy provisioning to let you expand as you grow.
>
> Given the volume you may want to consider hourly indexes. Index size isn't 
> so much a problem as segment size, you should aim to keep each segment 
> between 10-20GB to allow for optimal reallocation and merging.
>
> You should also consider a tiered system, have your active (eg last 6-12 
> hours) indexes on a few high performance machines with SSDs/flash to allow 
> optimal indexing and retrieval, and then move the indexes onto slower 
> SAS/SATA drives after that time.
>
> A lot of what you may need depends on our retention period and how you 
> expect to have the data accessed.
>
> Regards,
> Mark Walkom
>
> Infrastructure Engineer
> Campaign Monitor
> email: [email protected] <javascript:>
> web: www.campaignmonitor.com
>
> On 20 September 2014 15:22, Nelson Jeppesen <[email protected] 
> <javascript:>> wrote:
>
>> Can ES scale to 30TB / day, and still be usable?
>>
>> This is a typical logstash/elasticsearch/kibana setup. I have a small 
>> environment logging 20GB / day that seems to work fine. At 30TB, very 
>> little will be able to cached into ram, can ES still be usable at that 
>> point?
>>
>> Also, what's is the best way to pick the proper index creation rate (per 
>> day, per hour?). Is there a guideline for max. index size?
>>
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