If you have an index per (some time period) then you can create the new indexes 
with more shards when you have more hardware and leave the old ones with their 
old number. You can also allocate more shards then noses in preparation for 
getting more nodes. I believe those are the standard tactics for log stash. 

Sent from my iPhone

> On Feb 10, 2014, at 2:23 PM, Matt <[email protected]> wrote:
> 
> Hey all!
> 
> Background: I am using elasticsearch with logstash to do some log analysis. 
> My use-case is write-heavy, and I have configured ES accordingly. After 
> experimenting with different setups, I am considering the following 
> implementation: 
> 
> separate log processing from ES cluster
> 1x Logstash server
> 
> 2x ES server (1x master, 1x data-only):
> - 17GB memory
> - Running single ES node with 9GB allocated memory
> 
> This should be plenty of memory for the relatively small dataset I am 
> starting with, and will expand as needed.  However, I have the following 
> questions/concerns: 
> 
> It is my understanding that, ideally, we want one shard per index per node 
> (plus an additional replica shard per primary shard per node assuming number 
> of replicas is set to 1), meaning in this setup, I would set number of shards 
> per index to 2. Each index is, as of now, relatively small (~500MB), so two 
> shards should be fine.  However, as we scale the project, the indexes will 
> grow, and we will eventually want to split them into more shards. On the 
> hardware side, the ES servers are relatively lightweight.  As we scale, we 
> have the option to simply beef up the hardware. Finally, my understanding is 
> that increasing the number of shards/index down the line requires a full 
> reindexing of the data, which I would like to avoid.
> 
> It seems to me that I would be better off setting shards/index to 4, in 
> anticipation of future scaling. Are there costs to this that I am missing?  
> 
> What about starting off with a single ES node on a beefier server? Should I 
> be concerned about availability with a single-node cluster (no replicas)?
> 
> Thanks for reading :)
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