that's... a very good question. When I was using Feast, it was that more than one person was interested in using the ingested data, so it became that 'single source of truth'. From then on, ClearML was used to do the actual pipeline flow and training/testing/serving runs and, since it's all python shop, it worked pretty well. We used it offline, since we didn't care about online with having features at inference time. I should probably write up something about this when I have the time come to think of it... hrrrmm...