Would you like to have a chat about this to share findings and ideas? Maybe on Slack.
On Tue, Jan 10, 2017 at 2:14 AM, Ao Ma <a...@cs.wisc.edu> wrote: > Interesting. > Actually we are doing in the similar way to scale out the cluster by > dockerizing the agent. > > > On Mon, Jan 9, 2017 at 6:00 AM, Ilya Pronin <ipro...@twopensource.com> > wrote: > >> Hi, >> >> For scale testing we've implemented a containerizer and an executor that >> consume no resources. The containerizer runs an executor that sends >> `TASK_RUNNING` on `launchTask()` and `TASK_KILLED` on `killTask()`. That >> way any amount of resources can be offered by the agent (through >> `--resources` option) and any number of tasks can be run. >> >> On Sat, Jan 7, 2017 at 1:07 AM, Vinod Kone <vinodk...@apache.org> wrote: >> >>> Great to hear! >>> >>> Haven't looked at the doc yet, but I know some folks from Twitter were >>> also >>> interested this. https://issues.apache.org/jira/browse/MESOS-6768 >>> >>> Probably worth to see if the ideas can be consolidated? >>> >>> On Fri, Jan 6, 2017 at 6:57 PM, Zhitao Li <zhitaoli...@gmail.com> wrote: >>> >>> > (sending this again since previous attempt seemed bumped back) >>> > >>> > Hi folks, >>> > >>> > As all of you we are super excited to use Mesos to manage thousands of >>> > different applications on our large-scale clusters. When the >>> application >>> > and host amount keeps increasing, we are getting more and more curious >>> > about what would be the potential scalability limit/bottleneck to >>> Mesos' >>> > centralized architecture and what is its robustness in the face of >>> various >>> > failures. If we can identify them in advance, probably we can manage >>> and >>> > optimize them before we are suffering in any potential performance >>> > degradations. >>> > >>> > To explore Mesos' capability and break the knowledge gap, we have a >>> > proposal to evaluate Mesos scalability and robustness through stress >>> test, >>> > the draft of which can be found at: draft_link >>> > <https://docs.google.com/document/d/10kRtX4II74jfUuHJnX2F5te >>> > qpXzHYFQAZGWjCdS3cZA/edit?usp=sharing>. >>> > Please >>> > feel free to provide your suggestions and feedback through comment on >>> the >>> > draft. >>> > >>> > Probably many of you have similar questions as we have. We will be >>> happy to >>> > share our findings in these experiments with the Mesos community. >>> Please >>> > stay tuned. >>> > >>> > -- >>> > Cheers, >>> > >>> > Ao Ma & Zhitao Li >>> > >>> >> >> >
