Hey Yan, Good point. I don't think this post is really a rigorous performance post. It covers a number of different things. Maybe a "In the press" section would be more appropriate? We could also dig up some other Samza posts to put on there. Here are a few that I just dug up from googling.
https://gigaom.com/2013/09/17/linkedin-open-sources-stream-processing-engin e-samza-its-take-on-storm/ http://radar.oreilly.com/2013/09/stream-processing-and-mining-just-got-more -interesting.html http://allthingshadoop.com/2013/09/17/real-time-data-pipelines-and-analytic s-with-apache-kafka-and-apache-samza/ http://jaxenter.com/one-to-watch-apache-samza-the-continuous-computation-st ream-processing-system-47909.html http://www.thecloudavenue.com/2013/09/storm-and-samza-for-real-time.html http://www.datanami.com/2013/09/17/linkedin_open_sources_samza_stream_proce ssor/ Cheers, Chris On 9/18/14 5:28 PM, "Yan Fang" <[email protected]> wrote: >Do we also add this post to the Wiki under a category such as performance, >like what Kafka has in its website ? > >Fang, Yan >[email protected] >+1 (206) 849-4108 > >On Thu, Sep 18, 2014 at 10:22 AM, Shekar Tippur <[email protected]> wrote: > >> Chris, >> >> Really appreciate you sharing the paper. >> I will certainly internalise this. >> >> - S >> >> On Thu, Sep 18, 2014 at 10:02 AM, Chris Riccomini < >> [email protected]> wrote: >> >> > Hey Guys, >> > >> > I want to send a heads-up about a blog post written by Jakob: >> > >> > >> > >> >>http://engineering.linkedin.com/samza/real-time-insights-linkedins-perfor >>mance-using-apache-samza >> > >> > The post is a pretty good description of a big (600,000 msgs/sec) >>Samza >> > job that we run at LinkedIn. This job has been discussed in the >>abstract >> on >> > the dev list for quite some time when various questions arise. It's >>also >> > been the motivation behind some of Samza's JIRAs (SAMZA-123, >>SAMZA-348, >> > SAMZA-337, etc). Feel free to post/publicize. >> > >> > Cheers, >> > Chris >> > >>
