Re: [jupyter] JupyterCon Announcement

[Jason Grout]

A reminder: if you'd like to help out with the future direction and vision
of the annual Jupyter conference (aka JupyterCon), please read the blog
post at
https://blog.jupyter.org/the-future-of-jupytercon-2019-and-beyond-9e3002faaf48
and fill out the google form mentioned there today.

Thanks,

Jason


On Wed, Dec 12, 2018 at 12:53 PM  wrote:

> In case you missed the tweet, there is an important announcement about the
> direction and vision for JupyterCon 2019 and beyond that was announced
> today. Read more here:
> https://blog.jupyter.org/the-future-of-jupytercon-2019-and-beyond-9e3002faaf48
>
>
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[jupyter] Re: Logging notebook activity (redux)

[Tony Hirst]

A recent post 
[ 
https://medium.com/adyen/building-our-data-science-platform-with-spark-and-jupyter-1894c33e6dd0
 
] describing the adoption of Jupyter notebooks by Adyen mentioned some 
logging issues:


*We added instrumentation across all levels of data analysis workflows — 
from looking when users looked in and which notebooks were opened to 
linking the code entered in notebooks with actual files created and 
accessed on HDFS. Most of the work was related to creating a specific fork 
of Jupyter protocol client library and making custom Java agent for drivers 
and executor jobs. This allowed us to create custom events we track for 
auditing.*



I'm not sure if their repos  have code examples 
though?


On Wednesday, 19 December 2018 20:41:27 UTC, Gary Page-Wood wrote:
>
> Hey folks,
>
> I've been researching options for enabling user activity monitoring in 
> Jupyter notebooks, and I've come across various related topics here in the 
> group and in GitHub over the last year or two [1][2][3][4]. My use case is 
> deploying JupyterHub in an environment where compliance requirements compel 
> us to record all user activity on their notebook server.
>
> gclen's implementation in [4] is the simpler of the approaches listed back 
> in last year's discussion [2], being very specifically logging-based with 
> the python logger config file for the kernel messages the only config 
> option. There was also mention of what sounded like a more general 'message 
> middleware' kind of approach where logging would just be something you 
> could add to a configurable pipeline of pre/post message processors that 
> could enable much more powerful and far-reaching customisations.
>
> My question is; before I dive in too far into reviving the simple logging 
> approach for the kernel message handler is there any opposition to taking 
> this route now? Is kernel message-handling middleware a thing that might be 
> on the horizon that would clash with this approach, or could we possibly go 
> ahead and just move auditing/logging concerns around later should that 
> become a reality?
>
> Cheers
> Gary 
>
>
> [1]https://groups.google.com/d/msg/jupyter/bZlWn_Tas1c/WN5w4T6GCwAJ
> [2]https://groups.google.com/d/msg/jupyter/sLKCCBwlKEc/CqrvYCvfBwAJ
> [3]https://github.com/jupyter/notebook/issues/4136
> [4]https://github.com/jupyter/notebook/issues/2251
>

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