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Description
Statuses
- live (including updating due to autoscaling) (for now just when min count is updated and ready)
- updating
- error
- compute unavailable
- out of memory
- stopping (bring it back)
- stopped
error -> updating -> live
live -> updating -> error
Guiding principles
- treat a deployment as a lambda with regards to e.g. autoscaling
- "status" is the answer to "what was the result of my deploy?"
Motivation
Currently, kubectl provides a better picture of what the cluster is working on than the CLI. Some deployments take a long time due to many python packages / large model / autoscaling and the user should be informed.
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enhancementNew feature or requestNew feature or request