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As a data scientist,
I want to deploy the existing disk failure prediction models as a publicly available inference service,
So that anyone can estimate time to failure for a disk by sending disk health data (e.g. SMART metrics) to a service.
One option to consider is deploying via seldon-core, since the operate-first cluster already has a Seldon operator deployed.
Acceptance Criteria
discussion with the infra team about using seldon/kfserving/something else
current models deployed as a service
The text was updated successfully, but these errors were encountered:
As a data scientist,
I want to deploy the existing disk failure prediction models as a publicly available inference service,
So that anyone can estimate time to failure for a disk by sending disk health data (e.g. SMART metrics) to a service.
One option to consider is deploying via seldon-core, since the operate-first cluster already has a Seldon operator deployed.
Acceptance Criteria
The text was updated successfully, but these errors were encountered: