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I never personally developed on Athena but I remember it requiring AIM (an internal distributed file system sort of like NFS built on Hadoop that had a fairly c

by nijave 6y ago

I never personally developed on Athena but I remember it requiring AIM (an internal distributed file system sort of like NFS built on Hadoop that had a fairly complex data model). All the Python libraries were compiled and linked against the AIM fs and required some shenanigans to import modules making the code not very portable

stevesimmons 6y ago
Athena had two levels of code deployment: * The core Python libraries and third-party modules, with weekly rolling releases of new/old versions for controlled deployment. These came from internal repos (the AIM system you mention) so that security scanning and licencing was checked. * Application-level code, with Python imports taking source code from a database rather than the filesystem. These are explained in detail in my PyData talk video, linked in my other comment.
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