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: <medbe...@gmail.com> on behalf of David Medberry <openst...@medberry.net>
Date: Friday 2 September 2016 at 22:18
To: Tim Bell <tim.b...@cern.ch>
Cc: openstack-operators <openstack-operators@lists.openstack.org>
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 
<openst...@medberry.net<mailto:openst...@medberry.net>> 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 
<tim.b...@cern.ch<mailto:tim.b...@cern.ch>> wrote:

Has anyone had experience running ElasticSearch on top of OpenStack VMs ?

Are there any tuning recommendations ?

Thanks
Tim

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