Comments (2)
I create this issue in ray project: ray-project/ray#42622
@kevin85421
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"serve run" command will first delete all existing model and then deploy your model. this behaviour is not user friendly if there are several people share the same ray cluster.
I agree. This is not a user-friendly behavior. Would you mind posting in the Ray repository since this is a Ray Serve issue? You can cc me and I can ping Ray Serve maintainers to take a look. Thanks!
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Related Issues (20)
- [Feature] RayCluster Helm Chart: Add pod level securityContext in addition to container level securityContext HOT 3
- [Feature] RayService CRD to have ImagePullSecret Reference
- [Feature] Why RayJob Spec can't set EndpointMemory? HOT 2
- [Bug] RayJob does not work when `app.kubernetes.io/name` is set HOT 3
- [Bug] "unable to find head service" error when specifying app.kubernetes.io/name on headGroupSpec HOT 3
- FT GCS should handle draining of node where head pod is scheduled HOT 3
- [Bug] RayJob falsely marked as "Running" when driver fails HOT 3
- [Feature] Checkpoint API to recover from checkpoint from previous runs HOT 2
- [Feature] Should we also set PublishNotReadyAddresses if the service is not headless? HOT 3
- [Bug] Readiness probe failed: timeout on minikube HOT 7
- [Bug] Fail the job, if the head node crashes HOT 2
- [Feature] Support GCS fault tolerance without external dependencies like Redis HOT 5
- [Bug] Image vulnerabilities found with Aquasec HOT 3
- [Bug] [API Server] JobSubmission service does not work for cluster names >41 characters HOT 1
- [Bug] Update Readme to point to 1.1.1 instead of 1.1.0 for the operator HOT 1
- [Umbrella] Ray Autoscaling tests HOT 4
- [Bug] RayCluster Helm Chart: containerEnv set to null when not values are specified HOT 1
- [Umbrella] RayService HA tests
- [Bug] RayCluster Sporadic RPC Error HOT 1
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