I'd be interested in knowing what problems you had with ELK, if you don't
mind sharing.

I understand the ease of splunk, but ELK isn't that difficult if you have
some in-house linux skills.

Regards,
Mark Walkom

Infrastructure Engineer
Campaign Monitor
email: [email protected]
web: www.campaignmonitor.com


On 19 June 2014 22:48, Thomas Paulsen <[email protected]> wrote:

> We had a 2,2TB/d installation of Splunk and ran it on VMWare with 12
> Indexer and 2 Searchheads. Each indexer had 1000IOPS guaranteed assigned.
> The system is slow but ok to use.
>
> We tried Elasticsearch and we were able to get the same performance with
> the same amount of machines. Unfortunately with Elasticsearch you need
> almost double amount of storage, plus a LOT of patience to make is run. It
> took us six months to set it up properly, and even now, the system is quite
> buggy and instable and from time to time we loose data with Elasticsearch.
>
> I don´t recommend ELK for a critical production system, for just dev work,
> it is ok, if you don´t mind the hassle of setting up and operating it. The
> costs you save by not buying a splunk license you have to invest into
> consultants to get it up and running. Our dev teams hate Elasticsearch and
> prefer Splunk.
>
> Am Samstag, 19. April 2014 00:07:44 UTC+2 schrieb Mark Walkom:
>>
>> That's a lot of data! I don't know of any installations that big but
>> someone else might.
>>
>> What sort of infrastructure are you running splunk on now, what's your
>> current and expected retention?
>>
>> Regards,
>> Mark Walkom
>>
>> Infrastructure Engineer
>> Campaign Monitor
>> email: [email protected]
>> web: www.campaignmonitor.com
>>
>>
>> On 19 April 2014 07:33, Frank Flynn <[email protected]> wrote:
>>
>>> We have a large Splunk instance.  We load about 1.25 Tb of logs a day.
>>>  We have about 1,300 loaders (servers that collect and load logs - they may
>>> do other things too).
>>>
>>> As I look at Elasticsearch / Logstash / Kibana does anyone know of a
>>> performance comparison guide?  Should I expect to run on very similar
>>> hardware?  More? or Less?
>>>
>>> Sure it depends on exactly what we're doing, the exact queries and the
>>> frequency we'd run them but I'm trying to get any kind of idea before we
>>> start.
>>>
>>> Are there any white papers or other documents about switching?  It seems
>>> an obvious choice but I can only find very little performance comparisons
>>> (I did see that Elasticsearch just hired "the former VP of Products at
>>> Splunk, Gaurav Gupta" - but there were few numbers in that article either).
>>>
>>> Thanks,
>>> Frank
>>>
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