Thanks. How’s the storage handled ? We’re seeing slow I/O on local storage (which is also limited on space) and latencies with Ceph for block storage.
Tim From: <[email protected]> on behalf of David Medberry <[email protected]> Date: Friday 2 September 2016 at 22:18 To: Tim Bell <[email protected]> Cc: openstack-operators <[email protected]> Subject: Re: [Openstack-operators] ElasticSearch on OpenStack Nathan: The page at https://www.elastic.co/guide/en/elasticsearch/guide/current/heap-sizing.html gives you good advice on a maximum size for the elasticsearch VM's memory. Nathan: suggest you pick a flavor with 64GB RAM or less, then base other sizing things off of that (i.e. choose a flavor with 64GB of RAM and as many CPUs as possible for that RAM allocation, then base disk size on testing of your use case) Nathan: give java heap 30GB, and leave the rest of the memory to the OS filesystem cache so that Lucene can make best use of it. Nathan: that's mostly it for tuning. elasticsearch publishes many other docs for tuning recommendations, but there isn't anything specific to openstack besides the flavor choice. i personally chose CPU size (8CPU) such that all vCPUs for each VM would fit on a single NUMA node, which is a best practice for ESXi but not sure if it applies to KVM. (resending for clarity) On Fri, Sep 2, 2016 at 6:46 AM, David Medberry <[email protected]<mailto:[email protected]>> wrote: Hey Tim, We've just started this effort. I'll see if the guy running the service can comment today. On Fri, Sep 2, 2016 at 6:36 AM, Tim Bell <[email protected]<mailto:[email protected]>> wrote: Has anyone had experience running ElasticSearch on top of OpenStack VMs ? Are there any tuning recommendations ? Thanks Tim _______________________________________________ OpenStack-operators mailing list [email protected]<mailto:[email protected]> http://lists.openstack.org/cgi-bin/mailman/listinfo/openstack-operators
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