I'll stay with my recommendation - that's exactly what Kibana is made for ;)

2015-03-20 9:06 GMT+01:00 Harut Martirosyan <harut.martiros...@gmail.com>:

> Hey Jeffrey.
> Thanks for reply.
>
> I already have something similar, I use Grafana and Graphite, and for
> simple metric streaming we've got all set-up right.
>
> My question is about interactive patterns. For instance, dynamically
> choose an event to monitor, dynamically choose group-by field or any sort
> of filter, then view results. This is easy when you have 1 user, but if you
> have team of analysts all specifying their own criteria, it becomes hard to
> manage them all.
>
> On 20 March 2015 at 12:02, Jeffrey Jedele <jeffrey.jed...@gmail.com>
> wrote:
>
>> Hey Harut,
>> I don't think there'll by any general practices as this part heavily
>> depends on your environment, skills and what you want to achieve.
>>
>> If you don't have a general direction yet, I'd suggest you to have a look
>> at Elasticsearch+Kibana. It's very easy to set up, powerful and therefore
>> gets a lot of traction currently.
>>
>> Regards,
>> Jeff
>>
>> 2015-03-20 8:43 GMT+01:00 Harut <harut.martiros...@gmail.com>:
>>
>>> I'm trying to build a dashboard to visualize stream of events coming from
>>> mobile devices.
>>> For example, I have event called add_photo, from which I want to
>>> calculate
>>> trending tags for added photos for last x minutes. Then I'd like to
>>> aggregate that by country, etc. I've built the streaming part, which
>>> reads
>>> from Kafka, and calculates needed results and get appropriate RDDs, the
>>> question is now how to connect it to UI.
>>>
>>> Is there any general practices on how to pass parameters to spark from
>>> some
>>> custom built UI, how to organize data retrieval, what intermediate
>>> storages
>>> to use, etc.
>>>
>>> Thanks in advance.
>>>
>>>
>>>
>>>
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>>
>
>
> --
> RGRDZ Harut
>

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