Kubernetes Distributed Python Training

Let's say we're doing those 15 times series forecasts we want a automated retrain based on a trigger. What sorts of libraries would you look to use to have a distributed automatically retrained time series model? For simplicity at extreme scale where I wouldn't have to be setting anything I'd be looking at PMD ARIMA profit and maybe that deep learning profit library. Apache Spark is just it makes it simple but that isn't the knock stuff that's out there like Ray from any scale or Kubernetes operations.