Can someone who's tested this stuff out advise on how many deliveries it can handle at a time? The examples only list trivial problems, but that might just be to keep the examples short.
Can someone who's tested this stuff out advise on how many deliveries it can handle at a time? The examples only list trivial problems, but that might just be to keep the examples short.
(No, I don't mean within Google, although they solve scheduling problems there as well.)
EDIT: There are articles:
https://cloud.google.com/press-releases/2020/0120/lufthansa
https://www.cnbc.com/2020/01/19/lufthansa-taps-googles-cloud...
The big challenge in making something like this actually work, are not the fancy hightech bits. Dealing with humdrum data integrations and torrential rates of change in rules and constraints, sourced from hundreds of mostly non-technical people across dozens of independent departments is where it gets hard.
From what I've seen, solving problems with a good enough solution with a 1h time limit is usually doable up to about 1000-3000 on standard hardware.
See issue number 1 for the semantic web, social network Radiojade:
https://github.com/foundpatterns
https://en.m.wikipedia.org/wiki/Constraint_Handling_Rules
I need your help with finishing it though. Contact me on LinkedIn