Hi, actually you could find the thread which posted before. http://search-hadoop.com/m/0Vlr6JvmUr1Be5yA&subj=Re+How+production+un+ready+are+Mesos+Cassandra+Spark+and+Kafka+Frameworks+
Sam share his experience in that thread: ``` Earlier this year, we added Cassandra in the mix by running it through Docker and Marathon in host network mode with volume. Nothing fancy, since it was for non critical user facing application. I have been experimenting with the Cassandra mesos framework for sometime, it still has some rough edges, but with our analytics operations, I will be pushing into prod very soon. Running Cassandra in containers is a rather complicated task, because of the number of configurations Cassandra adds to the linux kernel. But performance wise I haven't seen any real big difference. ``` On Sat, Apr 2, 2016 at 2:57 PM, srungarapu vamsi <srungarapu1...@gmail.com> wrote: > cassandra mesos docs <http://mesosphere.github.io/cassandra-mesos/docs/> > say that it is not production ready yet > > However, i would like to know if there are any users who are using > cassnadra-mesos in production and i am also curious to know if i have to > take suspect anything or pay more attention to some specific modules if i > want try cassandra-mesos on production. > > -- Best Regards, Haosdent Huang
