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Feature: service registry #75
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Implementation variants, based on the online discussion we just had, related to how "services" are created and deleted, together with their associated k8s resources:
alternative combining 1+3: update the container that creates the KFServing resources to also call the FuseML API and register the "service" and its k8s resources. The "service" store is responsible for deleting them. |
I believe this is done now. |
We need to manage the services deployed by the pipelines (e.g. prediction services) as first class citizens in fuseml. This enables users to show/list/delete running services.
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