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 >>>> >>>> >>>> >>>> >>> >> > > > > -- > ___________________________________________ > Available at these partners: > [image: CloudFlare | shopify | Bigcommerce] > > SUREN HIRAMAN, VP TECHNOLOGY > SOCIOCAST > Simple. Powerful. Predictions. > > 96 SPRING STREET, 7TH FLOOR > NEW YORK, NY 10012 > O: (917) 525-2466 ext. 105 > F: 646.349.4063 > E: suren.hira...@sociocast.com > W: www.sociocast.com > > Increase Conversion Rates up to 500%. Go to www.sociocast.com and enter > your URL for a free trial!
