Rietty
Joined 7 years ago
Joined 7 years ago
All of this is done in a Python environment with usage of Rust for speeding up critical code/computations. (The rust code is delivered as Python modules.)
The work is interesting and different challenges arise when having to process and compute datasets that are updated with 10s of TBs of fresh data daily.
Could you explain how that makes it a non-issue? It seems counter-intuitive to me that it solves the problem by just probing faster?
What happens to the messages? Do they get processed at a slower rate or on a subsystem that works in the background without having more messages being constantly added? Or do you just nuke them out of orbit and not care? That doesn't seem like a good idea to me since loss of information. Would love to know more about this!