Mesos does provide some benefits and features, such as the ability to launch all the Spark pieces in Docker and also Mesos resource scheduling features (weights, roles), and if you plan to also use HDFS/Cassandra there are existing frameworks that are actively maintained by us.
That said when there is just 5 nodes and you just want to use Spark without any other frameworks and not to add complexity I would also suggest use Standalone. Tim On Fri, Feb 26, 2016 at 3:51 AM, Igor Berman <igor.ber...@gmail.com> wrote: > Imho most of production clusters are standalone > there was some presentation from spark summit with some stats inside(can't > find right now), so standalone was at 1st place > it was from Matei > https://databricks.com/resources/slides > > On 26 February 2016 at 13:40, Petr Novak <oss.mli...@gmail.com> wrote: > >> Hi all, >> I believe that it used to be in documentation that Standalone mode is not >> for production. I'm either wrong or it was already removed. >> >> Having a small cluster between 5-10 nodes is Standalone recommended for >> production? I would like to go with Mesos but the question is if there is >> real add-on value for production, mainly from stability perspective. >> >> Can I expect that adding Mesos will improve stability compared to >> Standalone to the extent to justify itself according to somewhat increased >> complexity? >> >> I know it is hard to answer because Mesos layer itself is going to add >> some bugs as well. >> >> Are there unique features enabled by Mesos specific to Spark? E.g. >> adaptive resources for jobs or whatever? >> >> In the future once cluster will grow and more services running on Mesos, >> we plan to use Mesos. The question is if it does worth to go with it >> immediately even maybe its utility is not directly needed at this point. >> >> Many thanks, >> Petr >> > >
