Hi!
I’d like guardrails for bundles and charms owned by the Kubeflow team (lp: ~kubeflow-charmers).
We follow upstream major.minor versions as our track names (e.g. 1.30) and would like to request addding following tracks:
mlflow-server 2.15
mlflow(bundle) 2.15
Thanks
HI Michael,
I’ve listed the charms and bundles that need to have a track guardrail added below for record-keeping.
For the guardrail pattern, I will suggest the regex \d+\.\d+
Please let me know if anything looks amiss, otherwise I will proceed with the request.
Best, Emma
Charms:
kubeflow-charmers-mariadb-k8s
kubeflow-charmers-jupyterhub
metadata-api
kubeflow-charmers-jupyter-controller
kubeflow-charmers-tf-job-dashboard
kubeflow-charmers-pipelines-dashboard
metadata-ui
seldon-controller-manager
metadata-grpc
pipelines-scheduledworkflow
katib-controller
kfp-ui
kubeflow-charmers-tf-serving
kubeflow-charmers-argo-controller
kubeflow-charmers-modeldb-store
istio-pilot
kfserving
mlmd
kubeflow-charmers-kubeflow-seldon-api-frontend
mlflow-server
kubeflow-profiles
kserve-web-app
kubeflow-charmers-kubeflow-login
kfp-persistence
metacontroller-operator
katib-db-manager
kubeflow-charmers-cert-manager-controller
kubeflow-charmers-cert-manager-webhook
kubeflow-charmers-istio-pilot
kfp-api
kubeflow-volumes
ambassador
katib-ui
training-operator
minio
istio-gateway
pipelines-api
pipelines-visualization
oidc-gatekeeper
kubeflow-charmers-istio-ingressgateway
kubeflow-charmers-kubeflow-tf-job-dashboard
kubeflow-charmers-seldon-cluster-manager
kubeflow-charmers-kubeflow-tf-hub
kubeflow-charmers-kubeflow-tensorboards
jupyter-ui
kserve-controller
tfjob-operator
kubeflow-dashboard
metadata-envoy
kubeflow-charmers-katib-controller
pipelines-persistence
kubeflow-charmers-redis-k8s
kfp-schedwf
katib-manager
kfp-viz
envoy
seldon-core
knative-eventing
pipelines-viewer
kubeflow-charmers-kubeflow-seldon-cluster-manager
kubeflow-charmers-modeldb-backend
kubeflow-charmers-redis
tensorboards-web-app
kubeflow-charmers-pytorch-operator
knative-operator
tensorboard-controller
kubeflow-charmers-kubeflow-pytorch-operator
argo-controller
kubeflow-charmers-modeldb-ui
pvcviewer-operator
pipelines-ui
kfp-profile-controller
kubeflow-charmers-ambassador-auth
kubeflow-charmers-kubeflow-tf-serving
kubeflow-charmers-kubeflow-jupyterhub
kubeflow-charmers-seldon-api-frontend
kubeflow-charmers-seldon-core
kfp-metadata-writer
argo-server
metacontroller
kubeflow-roles
knative-serving
kubeflow-charmers-minio
kubeflow-charmers-oidc-gatekeeper
kubeflow-charmers-kubeflow-ambassador
ngc-integrator
dex-auth
kubeflow-charmers-argo-ui
jupyter-web
kubeflow-charmers-kubeflow-gatekeeper
kubeflow-charmers-metadata-controller
kubeflow-charmers-katib-ui
resource-dispatcher
tf-job-operator
jupyter-controller
kubeflow-charmers-tensorboard
kubeflow-charmers-kubeflow-tf-job-operator
namespace-node-affinity
kfp-viewer
kubeflow-charmers-mariadb
argo-ui
admission-webhook
kubeflow-charmers-dex-auth
Bundles:
kubeflow-edge
kubeflow-charmers-cert-manager
kubeflow-charmers-kubeflow-charmers
kubeflow-lite
kubeflow-charmers-kubeflow-pipelines
kubeflow-charmers-istio
mlflow
kubeflow
kubeflow-pipelines
Hi, can we please add oonly these new tracks
mlflow-server 2.15
mlflow(bundle) 2.15
For MLflow bundle and charm we need to go from 2.1 (which we have) to 2.15 (which we need).
Michal
Do you mean add only these tracks and not add guardrails as well?
Sorry also guardrails but just for those three I mentioned. Thanks a lot.
Ah I misunderstood the original request.
I have added the requested guardrails and tracks to the following three packages:
mlflow-server
mlflow
resource-dispatcher
Thanks for your patience!
Emma