A single node deployment of the memory backend will certainly work, but will not be as performant as Redis.
Here are some suggestions for running the memory backend in production: 1. Since you are running a single node cluster, set your n_val to 1 [1] 2. Make sure you set the max_memory parameter [2] to prevent the node from OOM'ing. 3. In order to get greater concurrency and throughput with the memory backend, I suggest increasing your ring_creation_size to 128 or 256. You might need to test which is more performant on your hardware. 4. Turn anti_entropy off. It will just be unnecessary overhead with your workload. 5. Make sure your ulimit is raised [3] 6. Apply our recommended system tunings [4] 7. You may need to raise some Erlang resource limits in your vm.args file [5] [1] http://docs.basho.com/riak/latest/references/Configuration-Files/#app-config [2] http://docs.basho.com/riak/1.3.0/tutorials/choosing-a-backend/Memory/#Enabling-and-Configuring-the-Memory-Backend [3] http://goo.gl/6LCiq [4] http://docs.basho.com/riak/latest/cookbooks/Linux-Performance-Tuning/#Linux-Tuning [5] http://goo.gl/bRzeT On Thu, Jul 18, 2013 at 2:24 PM, kpandey <kumar.pan...@gmail.com> wrote: > My ultimate goal is to use Riak as that one nosql solution for most of my > needs like > > 1) In memory immutable data( with guaranteed write and failover so n=3, > w=quoram, r=1 ) > 2) In memory cache > 3) bitask with TTL to store immutable session data (n=3, w=quoram, r=1 ) > 4) audit data (n=3, w=1,r=1) > 5) log data (n=3, w=1,r=1) > > etc. > > For now I am looking have a 5 node cluster and a test with 5 node cluser. > > > > > > -- > View this message in context: > http://riak-users.197444.n3.nabble.com/riak-kv-memory-backend-in-production-tp4028393p4028404.html > Sent from the Riak Users mailing list archive at Nabble.com. > > _______________________________________________ > riak-users mailing list > riak-users@lists.basho.com > http://lists.basho.com/mailman/listinfo/riak-users_lists.basho.com >
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