Data scientist here, stuck in the Dark Ages of "deploying" my models by writing bespoke Python apps that run on some kind of cloud container host like ECS. Dump the outputs to blob storage and slurp them back into the data warehouse nightly using Airflow. Lots of manual fussing around. What the heck are all these ML and data platforms, how do they benefit me, and how do I evaluate the gazillion options that seem to be out there? For example, I recently came across DStack ( https://dstack.ai/ ) and have had an open browser tab sitting around waiting for me to figure out WTF it even does. DAGWorks seems like it does something similar. Is that true? Are these tools even comparable? How would I choose one or the other? Is there overlap with MLFlow?
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