Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.

Steps to reproduce

In Full Kubeflow mode, select a pipeline and click Create Run. During selecting experiment, open a dialog to select existing experiment.

By default, there is no available experiment, but there is no w

/kind feature

Describe the solution you'd like

In pkg/apis/serving/v1beta1/inference_service_defaults.go the default InferenceService resource requests and limits are hard coded to be 1 cpu and 2Gi memory. These are reasonable defaults. However, the entire existence of these defaults should be disablable. Moreover, administrators should be able to quickly adjust defaults globally via t

Describe the issue
Current apache helm-chart lists redis as installation enabled but is not actually required when using the kubernetes executor, we should update to false.
https://github.com/elyra-ai/elyra/blob/dcb63e72c12f7e143ca5262f2140a3387f8abd10/etc/kubernetes/airflow/helm/values.yaml#L1420-L1427

To Reproduce

Screenshots or log output
If applicable, add screenshots or l

arena should support clean-task-policy "All" when training via tfjobs.
currently, only supports "Running"(clean RUNNING pod) or None(do nothing).
when job is done, often we need to remove ps, chief, evaluator and worker.

Summary

The current implementation does not allow creating templates specifying the parallelism field as per the Argo spec.

Use Cases

Many possible use cases, my current one is limiting the amount of parallel nodes running a certain template so as to save