Closed kimwnasptd closed 1 year ago
Kubeflow-CI is fixed. Saving space solution is added, debug logs are removed. https://github.com/canonical/kubeflow-ci/pull/99 https://github.com/canonical/kubeflow-ci/pull/98 https://github.com/canonical/kubeflow-ci/pull/97 https://github.com/canonical/kubeflow-ci/pull/96
Repository that is still missing get-images.sh
is kfp-operators. It requires update of requirements on track/2.0
in order for script ot be merged.
PR for script: https://github.com/canonical/kfp-operators/pull/259
Requirements PR, still failing with soluations discussed during daily: https://github.com/canonical/kfp-operators/pull/283
List of images currently retrieved by updated scripts (note missing KFP images):
Image list:
docker.io/kubeflownotebookswg/poddefaults-webhook:v1.7.0
argoproj/workflow-controller:v3.3.9
argoproj/argocli:v3.3.9
argoproj/argoexec:v3.3.9
dexidp/dex:v2.2
docker.io/istio/pilot:1.16.2
docker.io/istio/proxyv2:1.16.2
docker.io/kubeflowkatib/katib-controller:v0.15.0
docker.io/kubeflowkatib/katib-db-manager:v0.15.0
docker.io/kubeflowkatib/katib-ui:v0.15.0
docker.io/kubeflowkatib/suggestion-darts:v0.15.0
docker.io/kubeflowkatib/suggestion-enas:v0.15.0,
docker.io/kubeflowkatib/suggestion-goptuna:v0.15.0
docker.io/kubeflowkatib/suggestion-hyperband:v0.15.0
docker.io/kubeflowkatib/suggestion-hyperopt:v0.15.0
docker.io/kubeflowkatib/suggestion-optuna:v0.15.0
docker.io/kubeflowkatib/suggestion-pbt:v0.15.0,
docker.io/kubeflowkatib/suggestion-skopt:v0.15.0
docker.io/kubeflowkatib/suggestion-darts:v0.15.0
docker.io/kubeflowkatib/suggestion-enas:v0.15.0,
docker.io/kubeflowkatib/suggestion-goptuna:v0.15.0
docker.io/kubeflowkatib/suggestion-hyperband:v0.15.0
docker.io/kubeflowkatib/suggestion-hyperopt:v0.15.0
docker.io/kubeflowkatib/suggestion-optuna:v0.15.0
docker.io/kubeflowkatib/suggestion-pbt:v0.15.0,
docker.io/kubeflowkatib/suggestion-skopt:v0.15.0
docker.io/kubeflowkatib/enas-cnn-cifar10-cpu:v0.15.0
docker.io/kubeflowkatib/earlystopping-medianstop:v0.15.0
docker.io/kubeflowkatib/mxnet-mnist:v0.15.0
docker.io/kubeflowkatib/pytorch-mnist-cpu:v0.15.0
docker.io/kubeflowkatib/file-metrics-collector:v0.15.0
docker.io/kubeflowkatib/tfevent-metrics-collector:v0.15.0
otel/opentelemetry-collector:latest
kserve/models-web-app:v0.8.0
kserve/kserve-controller:v0.10.0
gcr.io/kubebuilder/kube-rbac-proxy:v0.10.0
docker.io/seldonio/mlserver:1.0.0
kserve/lgbserver:v0.10.0
kserve/paddleserver:v0.10.0
kserve/pmmlserver:v0.10.0
kserve/sklearnserver:v0.10.0
kserve/xgbserver:v0.10.0
nvcr.io/nvidia/tritonserver:21.09-py3
pytorch/torchserve-kfs:0.7.0
tensorflow/serving:2.6.2
kserve/agent:v0.10.0
kserve/aix-explainer
kserve/alibi-explainer
kserve/art-explainer
kserve/router:v0.10.0
kserve/storage-initializer:v0.10.0
docker.io/kubeflownotebookswg/centraldashboard:v1.7.0
docker.io/kubeflownotebookswg/profile-controller:v1.7.0
docker.io/kubeflownotebookswg/kfam:v1.7.0
kubeflownotebookswg/tensorboard-controller:v1.7.0
kubeflownotebookswg/tensorboards-web-app:v1.7.0
docker.io/kubeflownotebookswg/volumes-web-app:v1.7.0
docker.io/metacontrollerio/metacontroller:v2.0.4
minio/minio:RELEASE.2021-09-03T03-56-13Z
docker.io/kubeflownotebookswg/notebook-controller:v1.7.0
docker.io/kubeflownotebookswg/jupyter-web-app:v1.7.0
kubeflownotebookswg/jupyter-scipy:v1.7.0
kubeflownotebookswg/jupyter-pytorch-full:v1.7.0
kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.7.0
kubeflownotebookswg/jupyter-tensorflow-full:v1.7.0
kubeflownotebookswg/jupyter-tensorflow-cuda-full:v1.7.0
swr.cn-south-1.myhuaweicloud.com/mindspore/jupyter-mindspore:v1.6.1
kubeflownotebookswg/codeserver-python:v1.7.0
kubeflownotebookswg/rstudio-tidyverse:v1.7.0
gcr.io/arrikto/kubeflow/oidc-authservice:e236439
docker.io/seldonio/engine:1.12.0
docker.io/charmedkubeflow/seldon-core-operator:v1.15.0_22.04_1
docker.io/seldonio/seldon-core-executor:1.14.0
docker.io/charmedkubeflow/mlserver-sklearn:1.2.0_22.04_1
docker.io/charmedkubeflow/mlserver-xgboost:1.2.0_22.04_1
docker.io/charmedkubeflow/mlserver-mlflow:1.2.0_22.04_1
nvcr.io/nvidia/tritonserver:21.08-py3
docker.io/charmedkubeflow/mlserver-huggingface:1.2.4_22.04_1
seldonio/mlserver:1.2.0-slim
seldonio/tfserving-proxy:1.15.0
docker.io/charmedkubeflow/sklearnserver:v1.16.0_20.04_1
seldonio/xgboostserver:1.15.0
seldonio/mlflowserver:1.15.0
docker.io/seldonio/seldon-core-executor:1.14.0
seldonio/rclone-storage-initializer:1.14.1
seldonio/alibiexplainer:1.15.0
seldonio/mlserver:1.2.0-alibi-explain
kubeflow/training-operator:v1-66aa6
ghcr.io/canonical/charmed-mysql@sha256:017605f168fcc569d102bb74b29ef9041256bd066013dece9ceee8c889
In some cases Trivy fails to scan images, complaining about incorrect format. After scan is complete, analysis should be done which image scans have failed. Reports for those will be missing.
KFP images scanned manually and added to the report.
The report was created manually with all missing images added. Work is being done to ensure script work properly. Closing this issue in favour of https://github.com/canonical/bundle-kubeflow/issues/674
The current actions we have for pushing
summary
file as an artifact, after the CVE scanning, have a bug and some images show to have 0 CVEs of any category.Example artefacts https://github.com/canonical/bundle-kubeflow/actions/runs/5639880194
An example for this is
docker.io/metacontrollerio/metacontroller:v2.0.4
image, which is reported to have 0 CVEs while if I run trivy locally I'll see