deepllearning

No questions about the architecture decisions made without knowing in details.

What about custom workloads besided databases, monitoring etc...? I guess you are providing an very straightforward way to customer to provision and run their workloads on k8s as well as easy integration with the container registry (whatever they are using).

This will become more interesting when customer requires very custom configurations to databases etc...I guess allowing them to edit the yaml of helm charts is an option but then share responsibilities etc...

Looking forward to know more about your plans with this approach

Cheers!

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