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On 3/28/14, 14:14 , Kian-Tat Lim wrote:
>>  - another engineer (Sebastian) from LAL is now 30% on lsst,
>>    playing with docker (https://www.docker.io/),
>>    already packaged Qserv into docker image ! :)
>>    - very useful if people want to just get a working, pre-canned
>>      qserv with some sample data and try it out
> 
> 	This does look interesting for deploying server-side software.
> Since it's not a VM, it could be used for even more than just pre-canned
> demos with sample data -- deployment of production installations onto
> cluster machines, particularly borrowed ones, could be substantially
> eased.  (Cf. DM-209)
> 
> 	It does not fulfill requirements for client-side tools (like
> many uses of the LSST Stack) such as being able to use the user's
> customized [i]Python environment.
> 

One place where containers could play a role is provenance management.
The surest way to ensure we can reproduce a data release run is to just
keep the entire system around (OS + software). Containers provide a
cheap way to do that.

-- 
Mario Juric,
Data Mgmt. Project Scientist, Large Synoptic Survey Telescope
Web : http://research.majuric.org     Phone : +1 617 744 9003

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