d.
>
> +1 (Binding)
> --
> Renan DelValle
> Stephan Erb
> Bill Farner
> Mauricio Garavaglia
> Dave Lester
> John Sirois
>
> +1 (Non-Binding)
> ------
> Se Choi
> Rick Mangi
>
> There were no 0 or -
+1
We love Aurora :-)
On Mon, Feb 3, 2020 at 3:54 PM Bill Farner wrote:
> +1
>
> Aurora has always been about pragmatism, and right now, this is the best
> route for new and existing users.
>
> On Fri, Jan 31, 2020 at 5:13 PM Renan DelValle wrote:
>
> > +1 (with a fair bit of sadness but
in me and I hope folks will join me in continuing to keep this awesome
> project alive.
> >>
> >> Looking forward to our release of 0.22.0.
> >>
> >> -Renan
> >
>
--
[image: chartbeat-gmail-...@2x.png]
Rick Mangi
Senior Director of Data Engineering
Chartbeat
917.848.3619 | @rmangi | r...@chartbeat.com
826 Broadway, 6th Fl., New York, NY 10003
As strong users of aurora but weak contributors, we at Chartbeat apologize for
our lack of participation. We’re several versions behind on mesos/aurora
upgrades and that’s honestly because it works for us :)
Going forward we’re hoping to be able to participate more, at least with
testing new
We still have some trusty servers out there, so I’d say no :)
> On Apr 10, 2018, at 3:40 PM, Renan DelValle wrote:
>
> Hi all,
>
> We're almost exactly one year away from the end of life of Ubuntu 14.04.[1]
> Taking this into consideration, I wanted to see how the community
this a non problem.
>
> I understand the push for job anti-affinity (ie don't put too many kafka
> workers in general on one host), but I would imagine it would be for
> reliability reasons not for performance reasons.
>
> On Thu, Mar 30, 2017 at 12:16 PM, Rick Mangi
ity reasons not for performance reasons.
>
> On Thu, Mar 30, 2017 at 12:16 PM, Rick Mangi <r...@chartbeat.com> wrote:
>
>> Performance and utilization mostly. The kafka consumers are CPU bound (and
>> sometimes network) and the rest of our jobs are mostly memory bound.
is pretty strong.
> On Mar 30, 2017, at 2:35 PM, Zameer Manji <zma...@apache.org> wrote:
>
> Rick,
>
> Can you share why it would be nice to spread out these different jobs on
> different hosts? Is it for reliability, performance, utilization, etc?
>
> On Thu, Mar 30, 2
t; Out of curiosity do your Kafka consumers span multiple jobs? Otherwise host
> constraints solve that problem right?
>
>> On Mar 30, 2017, at 10:34 AM, Rick Mangi <r...@chartbeat.com> wrote:
>>
>> I think the complexity is a great rationale for having a pluggable
>>
ed - that decision will
> basically be permanent until the host you're on goes down. At least with
> how things work now, with each scheduling attempt the job has a fresh
> chance of being put in an ideal slot.
>
> On Thu, Mar 30, 2017 at 8:12 AM, Rick Mangi <r...@chartbeat
Sorry for the late reply, but I wanted to chime in here as wanting to see this
feature. We run a medium size cluster (around 1000 cores) in EC2 and I think we
could get better usage of the cluster with more control over the distribution
of job instances. For example it would be nice to limit
Hey all,
Is there a link to a list of jira tickets to be included? I couldn’t find it
browsing around. Sorry if this is a silly question.
Best,
Rick
> On Sep 6, 2016, at 2:52 PM, Jake Farrell wrote:
>
> Please take a second to review the draft board report below and
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