Open Stack

On Thu, Feb 2, 2017 at 12:28 PM, Jeremy Stanley <fungi at yuggoth.org> wrote:
> On 2017-02-02 04:27:51 +0000 (+0000), Dolph Mathews wrote:
>> What made most services jump +20% between mitaka and newton? Maybe there is
>> a common cause that we can tackle.
> [...]
>
> Almost hesitant to suggest this one but since we primarily use
> Ubuntu 14.04 LTS for stable/mitaka jobs and 16.04 LTS for later
> branches, could bloat in a newer release of the Python 2.7
> interpreter there (or something even lower-level still like glibc)
> be a contributing factor?

In our third-party CI (IBM KVM on Power) we run both stable/mitaka and
master on Ubuntu Xenial. I went ahead and plotted dstat graphs, see
http://dal05.objectstorage.softlayer.net/v1/AUTH_3d8e6ecb-f597-448c-8ec2-164e9f710dd6/pkvmci/dstat20170202/
. It does look like there is some difference in overall memory use -
mitaka uses a bit less. This is anecdotal, but still is an extra data
point. Also note that we have 12G of ram, and we do not see oom kills.

> I agree it's more likely bloat in some
> commonly-used module (possibly even one developed outside our
> community), but potential system-level overhead probably should also
> get some investigation.
> --
> Jeremy Stanley
>
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Mikhail Medvedev
IBM