[deforciant]

Hi, one of the engineers who created dotscience here. Customers didn't insist on open sourcing anything, we did have some open source components but I don't think they cared about that :) Regarding tracking usage - usually it was just many conversations with customers and having them on our Slack channel. Solutions engineering - mostly development team would be helping with writing anything specific that they need. On the SaaS side we had a lot more analytics, used segment, intercom and internal "audit events" to better understand what's happening.

[streetcat1]

Thanks much for the response.

So to sum up, what did customers care about the most from your point of view? (maybe top 3)

[lewq]

1. Deploying models easily (data scientist doesn't need to grok docker/kube)

2. Monitoring models including data and model drift/statistical monitoring (data scientists don't need to grok prom/grafana)

3. Only once these base concerns are met, model inventory, provenance, data versioning, reproducibility, collaboration with notebooks, ci integration etc.

Happy to talk more - drop me a note at [e-mail]