Yeah, we use provisioned IOPs EBS so we have good performance. 

We run 3 ZK nodes, one in each AZ. Quorum 2. 

Philip

On Dec 3, 2013, at 7:31 AM, Timothy Chen <tnac...@gmail.com> wrote:

> Hi Philip,
> 
> So I wonder if you guys hit disk perf problems with EBS? It seems quite 
> common in the past but I haven't tried recently.
> 
> Also can you share how you guys deployed zookeeper in AWS so that a qurom is 
> always available?
> 
> Tim
> 
> Sent from my iPhone
> 
>> On Dec 2, 2013, at 5:15 PM, Steve Morin <steve.mo...@gmail.com> wrote:
>> 
>> Philip this is definitely useful
>> 
>>> On Dec 2, 2013, at 14:55, Surendranauth Hiraman 
>>> <suren.hira...@sociocast.com> wrote:
>>> 
>>> S Ahmed,
>>> 
>>> This combination of Kafka and Storm to process streaming data is becoming
>>> pretty common. Definitely worth looking at.
>>> 
>>> The throughput will vary depending on your workload (cpu usage, etc.) and
>>> if you're talking to a backend, of course. But it scales very well.
>>> 
>>> -Suren
>>> 
>>> 
>>> 
>>>> On Mon, Dec 2, 2013 at 5:49 PM, S Ahmed <sahmed1...@gmail.com> wrote:
>>>> 
>>>> Interesting.  So twitter storm is used to basically process the messages on
>>>> kafka?   I'll have to read-up on storm b/c I always thought the use case
>>>> was a bit different.
>>>> 
>>>> 
>>>> 
>>>>> On Sun, Dec 1, 2013 at 9:59 PM, Joe Stein <joe.st...@stealth.ly> wrote:
>>>>> 
>>>>> Awesome Philip, thanks for sharing!
>>>>> 
>>>>>> On Sun, Dec 1, 2013 at 9:17 PM, Philip O'Toole <phi...@loggly.com>
>>>>> wrote:
>>>>> 
>>>>>> A couple of us here at Loggly recently spoke at AWS reinvent, on how we
>>>>>> use Kafka 0.72 in our ingestion pipeline. The slides are at the link
>>>>> below,
>>>>>> and may be of interest to people on this list.
>>>> http://www.slideshare.net/AmazonWebServices/infrastructure-at-scale-apache-kafka-twitter-storm-elastic-search-arc303-aws-reinvent-2013
>>>>>> 
>>>>>> Any questions, let me know, though I can't promise I can answer
>>>>>> everything. Can't give the complete game away. :-)
>>>>>> 
>>>>>> As always, Kafka rocks!
>>>>>> 
>>>>>> Philip
>>> 
>>> 
>>> 
>>> -- 
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