Hi all,
Sorry for not noticing this thread earlier. Yes, Yuvi setup a selenium
cluster to test a KubeSpawner-based deployment. He got as high as 1000
simultaneous active users before there was a problem, and then that was
with the KubeSpawner itself.
Ryan
On Thu, Feb 16, 2017 at 2:00 AM, DVD
In general, the bottleneck is always going to be the
N_students*resources_per_student.
That varies widely by what the students are doing. In our data science
courses, we give each students 2GB RAM and approximately 4 students
per CPU core. The CPU stuff isn't typically the issue - RAM *always*
On Friday, 2 September 2016 23:55:13 UTC+1, Fernando Perez wrote:
>
> On Fri, Sep 2, 2016 at 3:49 PM, Thorin Tabor > wrote:
>
>> Hello,
>>
>> We've been operating a JupyterHub instance for some time, and are now
>> looking to gain some insight into the maximum
On Fri, Sep 2, 2016 at 3:49 PM, Thorin Tabor
wrote:
> Hello,
>
> We've been operating a JupyterHub instance for some time, and are now
> looking to gain some insight into the maximum number of users or notebooks
> that our current hardware can handle. Basically we want