Logan, 

It sounds like you also made the move from version 1.0 of marvel to 1.1 - 
we had great data reductions there. I would also recommend you upgrade your 
monitoring cluster to ES 1.2.0 released yesterday. From my measurements it 
saves around 30%

Cheers,
Boaz

On Thursday, May 22, 2014 7:36:06 PM UTC+2, Logan Hardy wrote:
>
> Just a follow up on my results with this. I was able t get the daily 
> marvel index down from hundreds of GBs per day replicated to about 22GB per 
> day by setting replicas to 0 on the marvel index and marvel.agent.interval: 
> to 30s. 
>
> I also noticed that after upgrading my production Elasticsearch cluster 
> from 0.90.12 to 1.1.1 (now the same version as the monitoring cluster) the 
> daily marvel index went down to around 2GB per day. Hooray!
>
> -Logan-
>
> On Saturday, May 3, 2014 6:00:51 PM UTC-6, Logan Hardy wrote:
>>
>> Thanks Mark. I'm aware of the licensing and have been in contact with 
>> Elasticsearch about this. I just need to make sure we can use Marvel with 
>> our two monitoring nodes before we commit to buying licenses. I'm 
>> disinclined to use Marvel if I have to buy licenses and buy a bunch 
>> additional monitoring machines. I really like Marvel but if I can't make it 
>> work for a reasonable price I think I go back to using SPM. 
>>
>> On Wednesday, April 30, 2014 5:39:47 PM UTC-6, Mark Walkom wrote:
>>>
>>> That's pretty sane. I believe the newest version of marvel increased the 
>>> default from 5s to 10s.
>>>
>>> But be aware, you are breaking the license for Marvel with that number 
>>> of nodes - http://www.elasticsearch.org/overview/marvel/
>>>
>>> Regards,
>>> Mark Walkom
>>>
>>> Infrastructure Engineer
>>> Campaign Monitor
>>> email: [email protected]
>>> web: www.campaignmonitor.com
>>>
>>>
>>> On 1 May 2014 06:52, Logan Hardy <[email protected]> wrote:
>>>
>>>> I'm managing a pretty badass 11 node Elasticsearch cluster that is 
>>>> powering a customer facing dashboard reporting platform. 20 cores per 
>>>> node, 
>>>> 64GB RAM, SSDs, Dual 10 GbE of awesome. I evaluated Marvel while we were 
>>>> still in development on the new platform and I found it to be a very 
>>>> valuable tool. At first Marvel was indexing to the same cluster we were 
>>>> monitoring and this was okay while we were in development as there were 
>>>> plenty of extra cycles in the cluster to handle the load but now that we 
>>>> are in production it doesn't make sense to burden the cluster with this. 
>>>> The nature of our reporting system requires us to to have an index for 
>>>> each 
>>>> customer so we're currently at 328 indexes and over 10,000 shards total. 
>>>> The amount of data indexed by Marvel increases dramatically as the number 
>>>> of indices increases so once we got over 300 indices in the system the 
>>>> daily marvel index ended up at around 400 GB replicated and was indexing 
>>>> around 2,000 documents a second by itself. 
>>>>
>>>> What I want to do is have Marvel index to a not as awesome 2 node 
>>>> Elasticsearch monitoring cluster. 12 cores, 64 GB RAM and spinning disks. 
>>>> But in practice these 2 nodes are unable to keep up with the load and get 
>>>> completely bogged down. I'm thinking I can sacrifice redundancy and buy 
>>>> myself some cycles by not using any replicas on the Marvel index. My other 
>>>> idea is to set marvel.agent.interval from the default 10s to something 
>>>> like 
>>>> 30s on the assumption that this will cut the amount of data generated by a 
>>>> third. Does this sound sane or do you have anyone have other ideas on what 
>>>> I can try to limited the load?  
>>>>
>>>> marvel.agent.interval 
>>>>
>>>> Controls the interval between data samples. Defaults to 10s. Set to -1 to 
>>>> temporarily disable exporting.
>>>>
>>>> This setting is update-able via the Cluster Update Settings API.
>>>>
>>>>
>>>> Thanks -Logan-
>>>>
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>>>
>>>

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