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Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
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openvscode-server
Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.
I suggest you check out https://www.gitpod.io, which does more general provisioning of GitOps clusters/Pods in their managed Kubernetes clusters. It's not specifically ML, but we've looked at it for POC ML projects that want basic hosting.
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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Of these 3 ETL companies, I've played with Snowflake and like what they do and their direction. Especially like they acquired https://streamlit.io/ which is a fun way to deploy Python apps without dealing with infrastructure and devOps tasks.