AHUG: Comparing HDFS Alternatives

Formerly known as AHUG (http://austinhug.blogspot.com/), this will be the first meetup organized from our new home on meetup.com.

This first meetup will be about alternatives to HDFS. The two which will be presented - GlusterFS and CassandraFS - are developed by folks based right here in Austin. So come on down and support Hadoop development and research in your very own tech community.

Food, drinks will be provided. The event will be @ Infochimps offices.

Agenda:
6:30 - Welcome: Eat, Drink, Mingle
7:00 - CFS: Cassandra-backed storage for Hadoop, by Nick Bailey of DataStax
7:30 - Implementing Hadoop on top of GlusterFS, by Brad Childs of RedHat
8:00 - Q&A

About Nick: Nick is a software engineer at DataStax where he primarily works on the OpsCenter product while occasionally submitting patches to Cassandra. Previously, he worked with Cassandra, Hadoop, and similar technologies at Rackspace Hosting.

About Brad: Brad is an austin based design enthusiast and software developer who's worked for special project teams at IBM and now Red Hat. While at IBM, he created the JavaScript tooling for Eclipse and later help create open source/open standard web and mobile tooling (www.maqetta.org). His focus at Red Hat is around Hadoop and large-scale storage.

IMPORTANT NOTE ABOUT LOCATION:
Google Maps pins Infochimps at the wrong end of the building. The building entrance is on the west end of Julian Gold department store, located off Winflo Dr. Head westbound on West 6th street, past Z-Tejas & Sweetish Hill. Go past Julian Gold, ArtWorks and House & Earth stores, turning right on Winflo Drive. Street parking is free. Walk up the long driveway entrance of the "West End Center," located on Winflo Dr. The Meetup will be held in the garage area.

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  • Ben S.

    Great meetup guys, lots of food for thought. The pizza and beer didn't hurt anything either. :) Another meetup was mentioned and I didn't have a chance to jot down the name. CSC or something similar. Does anyone know what that one is all about?

    April 26, 2013

  • Nate M.

    Per the topic, here is an article comparing additional HDFS alternatives (includes CFS from this meetup's presentations): http://gigaom.com/2012/07/11/because-hadoop-isnt-perfect-8-ways-to-replace-hdfs/

    May 2, 2013

    • Nate M.

      I like the new Calxeda stuff as a platform, but you are going to have substantial JVM tuning issues with 32-bit on top of any file system issues. Also, none of the JNA-provided or sun.misc.unsafe optimizations will work (though I may be out of date on this last bit).

      May 2, 2013

    • Christopher M. P.

      Yup. We definitely realize we'll be dealing with some short-term limitations. It's going to take some real engineering to build a stable and effective implementation on the current architecture.

      May 2, 2013

  • A former member
    A former member

    Great presentations by Nick Bailey (DataStax) and Brad Childs (RedHat). Engaged audience, lots of interactions. East Side Pies, Beer and Izze Sodas, courtesy of Apigee and RedHat.

    April 26, 2013

  • Christopher M. P.

    I enjoyed it as well, was good to meet some others that are actively working with Hadoop, Cassandra and other HDFS-based implementations. Amanda, thanks for putting this together.

    April 26, 2013

  • Matt L.

    It was interesting, I would have enjoyed even longer talks on both topics.
    Also, the pizza was better than what is served at the OpenStack meetup :-) Thanks, Red Hat!

    April 25, 2013

  • Raj M.

    Not available this time. Look forward to a future meetup and learning opps.

    April 25, 2013

  • Nick J.

    Would have definitely come if I didn't already have plans.

    April 24, 2013

  • atin s.

    Can you guys please record or live stream it.

    April 17, 2013

    • A former member
      A former member

      Atin, I'm not sure how to do this, but it is something we'll consider for future Meetups. Thanks for the suggestion!

      April 24, 2013

  • Justin L.

    I'll be at #ChefConf on this day :(

    April 18, 2013

  • Tim G.

    Hadoop!

    April 17, 2013

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