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Kubeflow Manifests

The Kubeflow Manifests are a collection of community-maintained manifests for installing Kubeflow in popular Kubernetes clusters such as Kind, Minikube, Rancher, EKS, AKS, and GKE. The manifests include all Kubeflow components (Pipelines, Kserve, etc.), the Kubeflow Central Dashboard, and other applications that comprise the Kubeflow Platform. This installation is beneficial for users wanting to explore the end-to-end capabilities of the Kubeflow Platform.

For a stable and conservative experience, we recommend using the latest stable release. However, please consult the more up-to-date documentation in the master branch.

You can also install the master branch of kubeflow/manifests by following the instructions here and providing us with feedback.

Table of Contents

Overview of the Kubeflow Platform

This repository is owned by the Platform/Manifests Working Group. If you are a contributor authoring or editing the packages, please see Best Practices. You can join the CNCF Slack and access our meetings at the Kubeflow Community website. Our channel on the CNCF Slack is #kubeflow-platform. You can also find our biweekly meetings, including the commentable Agenda.

The Kubeflow Manifests repository is organized under three main directories, which include manifests for installing:

Directory Purpose
applications Kubeflow's official components, maintained by the respective Kubeflow WGs
common Common services, maintained by the Manifests WG
experimental Third-party integrations and platform experiments (e.g., Ray, SeaweedFS, or security improvements)

All components are deployable with kustomize. You can choose to deploy the entire Kubeflow platform or individual components.

Kubeflow Components Versions

Kubeflow Version: Master

This repository periodically synchronizes all official Kubeflow components from the respective upstream repositories. The following matrix shows the git version included for each component:

Component Local Manifests Path Upstream Revision
Training Operator apps/training-operator/upstream 778cd72
Notebook Controller apps/jupyter/notebook-controller/upstream v1.10.0-rc.1
PVC Viewer Controller apps/pvcviewer-controller/upstream v1.10.0-rc.1
Tensorboard Controller apps/tensorboard/tensorboard-controller/upstream v1.10.0-rc.1
Central Dashboard apps/centraldashboard/upstream v1.10.0-rc.1
Profiles + KFAM apps/profiles/upstream v1.10.0-rc.1
PodDefaults Webhook apps/admission-webhook/upstream v1.10.0-rc.1
Jupyter Web App apps/jupyter/jupyter-web-app/upstream v1.10.0-rc.1
Tensorboards Web App apps/tensorboard/tensorboards-web-app/upstream v1.10.0-rc.1
Volumes Web App apps/volumes-web-app/upstream v1.10.0-rc.1
Katib apps/katib/upstream v0.18.0-rc.0
KServe apps/kserve/kserve v0.14.1
KServe Models Web App apps/kserve/models-web-app v0.14.0-rc.0
Kubeflow Pipelines apps/pipeline/upstream 2.4.1
Kubeflow Model Registry apps/model-registry/upstream v0.2.14

The following matrix shows the versions of common components used across different Kubeflow projects:

Component Local Manifests Path Upstream Revision
Istio common/istio-1-24 1.24.3
Knative common/knative/knative-serving
common/knative/knative-eventing		 v1.16.2
v1.16.4
Cert Manager common/cert-manager 1.16.1

Installation

This section covers the installation from scratch. For the in-place upgrade guide, please jump to the Upgrading and Extending section.

Although our master branch has extended automated tests and is already quite stable, please consider using a stable release tag/branch for a more conservative experience.

We provide two options for installing the official Kubeflow components and common services with Kustomize. The aim is to help users install easily and building distributions of Kubeflow by deriving / deviating from the Kubeflow manifests:

  1. Single-command installation of all components under apps and common
  2. Multi-command, individual component installation for apps and common

Option 1 targets ease of deployment for end users.
Option 2 targets customization, allowing users to pick and choose individual components.

The example directory contains an example kustomization for the single command to be able to run.

⚠️ In both options, we use a default email ([email protected]) and password (12341234). For any production Kubeflow deployment, you should change the default password by following the relevant section.

Prerequisites

  • This is the master branch, which targets Kubernetes version 1.32.
  • For the specific Kubernetes version per release, consult the release notes.
  • Either our local Kind (installed below) or your own Kubernetes cluster with a default StorageClass.
  • Kustomize version 5.4.3+.
  • Kubectl version compatible with your Kubernetes cluster (Version Skew Policy).

NOTE

kubectl apply commands may fail on the first try. This is inherent in how Kubernetes and kubectl work (e.g., CR must be created after CRD becomes ready). The solution is to simply re-run the command until it succeeds. For the single-line command, we have included a bash one-liner to retry the command.

Install with a Single Command

Prerequisites

  • 16 GB of RAM recommended.
  • 8 CPU cores recommended.
  • kind version 0.26+.
  • docker or a more modern tool such as podman to run the OCI images for the Kind cluster.
  • Linux kernel subsystem changes to support many pods:
    • sudo sysctl fs.inotify.max_user_instances=2280
    • sudo sysctl fs.inotify.max_user_watches=1255360
  • You can exclude components from the example/kustomization.yaml to fit Kubeflow into 4-8 GB of memory and 2-4 CPU cores.

Create Kind Cluster

cat <<EOF | kind create cluster --name=kubeflow --config=-
kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
nodes:
- role: control-plane
  image: kindest/node:v1.32.0@sha256:c48c62eac5da28cdadcf560d1d8616cfa6783b58f0d94cf63ad1bf49600cb027
  kubeadmConfigPatches:
  - |
    kind: ClusterConfiguration
    apiServer:
      extraArgs:
        "service-account-issuer": "https://kubernetes.default.svc"
        "service-account-signing-key-file": "/etc/kubernetes/pki/sa.key"
EOF

Save Kubeconfig

kind get kubeconfig --name kubeflow > /tmp/kubeflow-config
export KUBECONFIG=/tmp/kubeflow-config

Create a Secret Based on Existing Credentials to Pull the Images

docker login

kubectl create secret generic regcred \
    --from-file=.dockerconfigjson=$HOME/.docker/config.json \
    --type=kubernetes.io/dockerconfigjson

You can install all Kubeflow official components (residing under apps) and all common services (residing under common) using the following command:

while ! kustomize build example | kubectl apply --server-side --force-conflicts -f -; do echo "Retrying to apply resources"; sleep 20; done

Once everything is installed successfully, you can access the Kubeflow Central Dashboard by logging in to your cluster.

Congratulations! You can now start experimenting and running your end-to-end ML workflows with Kubeflow.

Install Individual Components

In this section, we will install each Kubeflow official component (under apps) and each common service (under common) separately, using just kubectl and kustomize.

If all the following commands are executed, the result is the same as in the above section of the single command installation. The purpose of this section is to:

  • Provide a description of each component and insight on how it gets installed.
  • Enable the user or distribution owner to pick and choose only the components they need.

Troubleshooting Note

We've seen errors like the following when applying the kustomizations of different components:

error: resource mapping not found for name: "<RESOURCE_NAME>" namespace: "<SOME_NAMESPACE>" from "STDIN": no matches for kind "<CRD_NAME>" in version "<CRD_FULL_NAME>"
ensure CRDs are installed first

This is because a kustomization applies both a CRD and a CR very quickly, and the CRD has not yet become Established yet. You can learn more about this in kubernetes/kubectl#1117 and helm/helm#4925.

If you encounter this error, we advise re-applying the manifests of the component.

cert-manager

Cert-manager is used by many Kubeflow components to provide certificates for admission webhooks.

Install cert-manager:

kustomize build common/cert-manager/base | kubectl apply -f -
kustomize build common/cert-manager/kubeflow-issuer/base | kubectl apply -f -
echo "Waiting for cert-manager to be ready ..."
kubectl wait --for=condition=ready pod -l 'app in (cert-manager,webhook)' --timeout=180s -n cert-manager
kubectl wait --for=jsonpath='{.subsets[0].addresses[0].targetRef.kind}'=Pod endpoints -l 'app in (cert-manager,webhook)' --timeout=180s -n cert-manager

In case you encounter this error:

Error from server (InternalError): error when creating "STDIN": Internal error occurred: failed calling webhook "webhook.cert-manager.io": failed to call webhook: Post "https://cert-manager-webhook.cert-manager.svc:443/mutate?timeout=10s": dial tcp 10.96.202.64:443: connect: connection refused

This is because the webhook is not yet ready to receive requests. Wait a couple of seconds and retry applying the manifests.

For more troubleshooting info, also check out https://cert-manager.io/docs/troubleshooting/webhook/.

Istio

Istio is used by most Kubeflow components to secure their traffic, enforce network authorization, and implement routing policies. If you use Cilium CNI on your cluster, you must configure it properly for Istio as shown here; otherwise, you will encounter RBAC access denied on the central dashboard.

Install Istio:

echo "Installing Istio configured with external authorization..."
kustomize build common/istio-1-24/istio-crds/base | kubectl apply -f -
kustomize build common/istio-1-24/istio-namespace/base | kubectl apply -f -
kustomize build common/istio-1-24/istio-install/overlays/oauth2-proxy | kubectl apply -f -

echo "Waiting for all Istio Pods to become ready..."
kubectl wait --for=condition=Ready pods --all -n istio-system --timeout 300s

Oauth2-proxy

The oauth2-proxy extends your Istio Ingress-Gateway capabilities to function as an OIDC client. It supports user sessions as well as proper token-based machine-to-machine authentication.

echo "Installing oauth2-proxy..."

# Only uncomment ONE of the following overlays, as they are mutually exclusive.
# See `common/oauth2-proxy/overlays/` for more options.

# OPTION 1: works on most clusters, does NOT allow K8s service account
#           tokens to be used from outside the cluster via the Istio ingress-gateway.
#
kustomize build common/oauth2-proxy/overlays/m2m-dex-only/ | kubectl apply -f -
kubectl wait --for=condition=ready pod -l 'app.kubernetes.io/name=oauth2-proxy' --timeout=180s -n oauth2-proxy

# Option 2: works on Kind, K3D, Rancher, GKE, and many other clusters with the proper configuration, and allows K8s service account tokens to be used
#           from outside the cluster via the Istio ingress-gateway. For example, for automation with GitHub Actions.
#           In the end, you need to patch the issuer and jwksUri fields in the request authentication resource in the istio-system namespace 
#           as done in /common/oauth2-proxy/overlays/m2m-dex-and-kind/kustomization.yaml.
#           Please follow the guidelines in the section Upgrading and Extending below for patching.
#           curl --insecure -H "Authorization: Bearer `cat /var/run/secrets/kubernetes.io/serviceaccount/token`"  https://kubernetes.default/.well-known/openid-configuration
#           from a pod in the cluster should provide you with the issuer of your cluster.
# 
#kustomize build common/oauth2-proxy/overlays/m2m-dex-and-kind/ | kubectl apply -f -
#kubectl wait --for=condition=ready pod -l 'app.kubernetes.io/name=oauth2-proxy' --timeout=180s -n oauth2-proxy
#kubectl wait --for=condition=ready pod -l 'app.kubernetes.io/name=cluster-jwks-proxy' --timeout=180s -n istio-system

# OPTION 3: works on most EKS clusters with K8s service account
#           tokens to be used from outside the cluster via the Istio ingress-gateway.
#           You have to adjust AWS_REGION and CLUSTER_ID in common/oauth2-proxy/overlays/m2m-dex-and-eks/ first.
#
#kustomize build common/oauth2-proxy/overlays/m2m-dex-and-eks/ | kubectl apply -f -
#kubectl wait --for=condition=ready pod -l 'app.kubernetes.io/name=oauth2-proxy' --timeout=180s -n oauth2-proxy

If and after you finish the installation with Kubernetes service account token support, you should be able to create and use the tokens:

kubectl port-forward svc/istio-ingressgateway -n istio-system 8080:80
TOKEN="$(kubectl -n $KF_PROFILE_NAMESPACE create token default-editor)"
client = kfp.Client(host="http://localhost:8080/pipeline", existing_token=token)
curl -v "localhost:8080/jupyter/api/namespaces/${$KF_PROFILE_NAMESPACE}/notebooks" -H "Authorization: Bearer ${TOKEN}"

If you want to use OAuth2 Proxy without Dex and connect it directly to your own IDP, you can refer to this document. However, you can also keep Dex and extend it with connectors to your own IDP as explained in the Dex section below.

Dex

Dex is an OpenID Connect (OIDC) identity provider with multiple authentication backends. In this default installation, it includes a static user with the email [email protected]. By default, the user's password is 12341234. For any production Kubeflow deployment, you should change the default password by following the relevant section.

Install Dex:

echo "Installing Dex..."
kustomize build common/dex/overlays/oauth2-proxy | kubectl apply -f -
kubectl wait --for=condition=ready pods --all --timeout=180s -n auth

To connect to your desired identity providers (LDAP, GitHub, Google, Microsoft, OIDC, SAML, GitLab), please take a look at https://dexidp.io/docs/connectors/oidc/. We recommend using OIDC in general since it is compatible with most providers. For example, Azure in the following example. You need to modify https://github.com/kubeflow/manifests/blob/master/common/dex/overlays/oauth2-proxy/config-map.yaml and add some environment variables in https://github.com/kubeflow/manifests/blob/master/common/dex/base/deployment.yaml by adding a patch section in your main Kustomization file. For guidance, please check out Upgrading and Extending.

apiVersion: v1
kind: ConfigMap
metadata:
  name: dex
data:
  config.yaml: |
    issuer: http://dex.auth.svc.cluster.local:5556/dex
    storage:
      type: kubernetes
      config:
        inCluster: true
    web:
      http: 0.0.0.0:5556
    logger:
      level: "debug"
      format: text
    oauth2:
      skipApprovalScreen: true
    enablePasswordDB: true
    #### WARNING: YOU SHOULD NOT USE THE DEFAULT STATIC PASSWORDS
    #### and patch /common/dex/base/dex-passwords.yaml in a Kustomize overlay or remove it
    staticPasswords:
    - email: [email protected]
      hashFromEnv: DEX_USER_PASSWORD
      username: user
      userID: "15841185641784"
    staticClients:
    # https://github.com/dexidp/dex/pull/1664
    - idEnv: OIDC_CLIENT_ID
      redirectURIs: ["/oauth2/callback"]
      name: 'Dex Login Application'
      secretEnv: OIDC_CLIENT_SECRET
    #### Here come the connectors to OIDC providers such as Azure, GCP, GitHub, GitLab, etc.
    #### Connector config values starting with a "$" will read from the environment.
    connectors:
    - type: oidc
      id: azure
      name: azure
      config:
        issuer: https://login.microsoftonline.com/$TENANT_ID/v2.0
        redirectURI: https://$KUBEFLOW_INGRESS_URL/dex/callback
        clientID: $AZURE_CLIENT_ID
        clientSecret: $AZURE_CLIENT_SECRET
        insecureSkipEmailVerified: true
        scopes:
        - openid
        - profile
        - email
        #- groups # groups might be used in the future

For Keycloak, we have rough guidelines in https://github.com/kubeflow/manifests/blob/master/common/dex/README.md.

Knative

Knative is used by the KServe official Kubeflow component.

Install Knative Serving:

kustomize build common/knative/knative-serving/overlays/gateways | kubectl apply -f -
kustomize build common/istio-1-24/cluster-local-gateway/base | kubectl apply -f -

Optionally, you can install Knative Eventing, which can be used for inference request logging:

kustomize build common/knative/knative-eventing/base | kubectl apply -f -

Kubeflow Namespace

Create the namespace where the Kubeflow components will reside. This namespace is named kubeflow.

Install the Kubeflow namespace:

kustomize build common/kubeflow-namespace/base | kubectl apply -f -

Network Policies

Install network policies:

kustomize build common/networkpolicies/base | kubectl apply -f -

Kubeflow Roles

Create the Kubeflow ClusterRoles: kubeflow-view, kubeflow-edit, and kubeflow-admin. Kubeflow components aggregate permissions to these ClusterRoles.

Install Kubeflow roles:

kustomize build common/kubeflow-roles/base | kubectl apply -f -

Kubeflow Istio Resources

Create the Kubeflow Gateway kubeflow-gateway and ClusterRole kubeflow-istio-admin.

Install Kubeflow Istio resources:

kustomize build common/istio-1-24/kubeflow-istio-resources/base | kubectl apply -f -

Kubeflow Pipelines

Install the Multi-User Kubeflow Pipelines official Kubeflow component:

kustomize build apps/pipeline/upstream/env/cert-manager/platform-agnostic-multi-user | kubectl apply -f -

This installs Argo with the runasnonroot emissary executor. Please note that you are still responsible for analyzing the security issues that arise when containers are run with root access and for deciding if the Kubeflow pipeline main containers are run as runasnonroot. It is generally strongly recommended that all user-accessible OCI containers run with Pod Security Standards restricted.

KServe

KFServing was rebranded to KServe.

Install the KServe component:

kustomize build apps/kserve/kserve | kubectl apply --server-side --force-conflicts -f -

Install the Models web application:

kustomize build apps/kserve/models-web-app/overlays/kubeflow | kubectl apply -f -

Katib

Install the Katib official Kubeflow component:

kustomize build apps/katib/upstream/installs/katib-with-kubeflow | kubectl apply -f -

Central Dashboard

Install the Central Dashboard official Kubeflow component:

kustomize build apps/centraldashboard/overlays/oauth2-proxy | kubectl apply -f -

Admission Webhook

Install the Admission Webhook for PodDefaults:

kustomize build apps/admission-webhook/upstream/overlays/cert-manager | kubectl apply -f -

Notebooks 1.0

Install the Notebook Controller official Kubeflow component:

kustomize build apps/jupyter/notebook-controller/upstream/overlays/kubeflow | kubectl apply -f -

Install the Jupyter Web App official Kubeflow component:

kustomize build apps/jupyter/jupyter-web-app/upstream/overlays/istio | kubectl apply -f -

Workspaces (Notebooks 2.0)

This feature is still in development.

PVC Viewer Controller

Install the PVC Viewer Controller official Kubeflow component:

kustomize build apps/pvcviewer-controller/upstream/base | kubectl apply -f -

Profiles + KFAM

Install the Profile Controller and the Kubeflow Access-Management (KFAM) official Kubeflow components:

kustomize build apps/profiles/upstream/overlays/kubeflow | kubectl apply -f -

Volumes Web Application

Install the Volumes Web App official Kubeflow component:

kustomize build apps/volumes-web-app/upstream/overlays/istio | kubectl apply -f -

Tensorboard

Install the Tensorboards Web App official Kubeflow component:

kustomize build apps/tensorboard/tensorboards-web-app/upstream/overlays/istio | kubectl apply -f -

Install the Tensorboard Controller official Kubeflow component:

kustomize build apps/tensorboard/tensorboard-controller/upstream/overlays/kubeflow | kubectl apply -f -

Training Operator

Install the Training Operator official Kubeflow component:

kustomize build apps/training-operator/upstream/overlays/kubeflow | kubectl apply --server-side --force-conflicts -f -

User Namespaces

Finally, create a new namespace for the default user (named kubeflow-user-example-com).

kustomize build common/user-namespace/base | kubectl apply -f -

Connect to Your Kubeflow Cluster

After installation, it will take some time for all Pods to become ready. Ensure all Pods are ready before trying to connect; otherwise, you might encounter unexpected errors. To check that all Kubeflow-related Pods are ready, use the following commands:

kubectl get pods -n cert-manager
kubectl get pods -n istio-system
kubectl get pods -n auth
kubectl get pods -n oauth2-proxy
kubectl get pods -n knative-serving
kubectl get pods -n kubeflow
kubectl get pods -n kubeflow-user-example-com

Port-Forward

The default way of accessing Kubeflow is via port-forwarding. This enables you to get started quickly without imposing any requirements on your environment. Run the following to port-forward Istio's Ingress-Gateway to local port 8080:

kubectl port-forward svc/istio-ingressgateway -n istio-system 8080:80

After running the command, you can access the Kubeflow Central Dashboard by doing the following:

  1. Open your browser and visit http://localhost:8080. You should see the Dex login screen.
  2. Log in with the default user's credentials. The default email address is [email protected], and the default password is 12341234.

NodePort / LoadBalancer / Ingress

To connect to Kubeflow using NodePort / LoadBalancer / Ingress, you need to set up HTTPS. The reason is that many of our web applications (e.g., Tensorboard Web Application, Jupyter Web Application, Katib UI) use Secure Cookies, so accessing Kubeflow with HTTP over a non-localhost domain does not work.

Exposing your Kubeflow cluster with proper HTTPS is a straightforward process but depends on your environment. You can expose the istio-ingressgateway service in the istio-system namespace via nginx-ingress or any other ingress provider. For security reasons, only use ClusterIP on the service, not NodePort or something similarly dangerous. There is third-party commercial support available.

NOTE

If you absolutely need to expose Kubeflow over HTTP, you can disable the Secure Cookies feature by setting the APP_SECURE_COOKIES environment variable to false in every relevant web app. This is not recommended, as it poses security risks.

Change Default User Name

For security reasons, we don't want to use the default username and email for the default Kubeflow user when installing in security-sensitive environments. Instead, you should define your own username and email before deploying. To define it for the default user:

  1. Edit common/dex/overlays/oauth2-proxy/config-map.yaml and fill the relevant field with your email and preferred username:

    ...
  staticPasswords:
  - email: <REPLACE_WITH_YOUR_EMAIL>
    username: <REPLACE_WITH_PREFERRED_USERNAME>

Change Default User Password

If you have an identity provider (LDAP, GitHub, Google, Microsoft, OIDC, SAML, GitLab) available, you should use that instead of static passwords and connect it to oauth2-proxy or Dex as explained in the sections above. This is best practice instead of using static passwords.

For security reasons, we don't want to use the default static password for the default Kubeflow user when installing in security-sensitive environments. Instead, you should define your own password and apply it either before creating the cluster or after creating the cluster.

Pick a password for the default user, with email [email protected], and hash it using bcrypt:

```sh
python3 -c 'from passlib.hash import bcrypt; import getpass; print(bcrypt.using(rounds=12, ident="2y").hash(getpass.getpass()))'
```

For example, running the above command locally with required packages like passlib would look as follows:

python3 -c 'from passlib.hash import bcrypt; import getpass; print(bcrypt.using(rounds=12, ident="2y").hash(getpass.getpass()))'
Password:       <--- Enter the password here
$2y$12$vIm8CANhuWui0J1p3jYeGeuM28Qcn76IFMaFWvZCG5ZkKZ4MjTF4u <--- GENERATED_HASH_FOR_ENTERED_PASSWORD

Before Creating the Cluster:

  1. Edit common/dex/base/dex-passwords.yaml and fill the relevant field with the hash of the password you chose:

    ...
  stringData:
    DEX_USER_PASSWORD: <REPLACE_WITH_HASH>

After Creating the Cluster:

  1. Delete the existing secret dex-passwords in the auth namespace using the following command:

    kubectl delete secret dex-passwords -n auth

  2. Create the secret dex-passwords with the new hash using the following command:

    kubectl create secret generic dex-passwords --from-literal=DEX_USER_PASSWORD='REPLACE_WITH_HASH' -n auth

  3. Recreate the dex pod in the auth namespace using the following command:

    kubectl delete pods --all -n auth

  4. Try to log in using the new Dex password.

Upgrading and Extending

For modifications and in-place upgrades of the Kubeflow platform, we provide a rough description for advanced users:

  • Never edit the manifests directly; use Kustomize overlays and components on top of the example.yaml.
  • This allows you to upgrade by just referencing the new manifests, building with Kustomize, and running kubectl apply again.
  • You might have to adjust your overlays and components if needed.
  • You might need to prune old resources. For that, you would add labels to all your resources from the start.
  • With labels, you can use kubectl apply with --prune and --dry-run to list prunable resources.
  • Sometimes there are major changes; for example, in the 1.9 release, we switched to oauth2-proxy, which needs additional attention.
  • Nevertheless, with a bit of Kubernetes knowledge, one should be able to upgrade.

Release Process

The Manifest Working Group releases Kubeflow based on the release timeline. The community and the release team work closely with the Manifest Working Group to define the specific dates at the start of the release cycle and follow the release versioning policy, as defined in the Kubeflow release handbook.

CVE Scanning

To view all past security scans, head to the Image Extracting and Security Scanning GitHub Action workflow. In the logs of the workflow, you can expand the Run image extracting and security scanning script step to view the CVE logs. You will find a per-image CVE scan and a JSON dump of per-WorkingGroup aggregated metrics. You can run the Python script from the workflow file locally on your machine to obtain the detailed JSON files for any git commit.

The Kubeflow security working group follows a responsible disclosure policy for CVE results:

  • Internal Review: All CVE findings are initially reviewed internally by the security working group.
  • Severity Assessment: Each CVE is assessed for severity and potential impact on the Kubeflow project.
  • Disclosure: For high and critical severity CVEs, the security working group will:
    • Notify the maintainers and contributors.
    • Try to provide a fix or mitigation strategy.
    • Publicly disclose the CVE details.

Pre-commit Hooks

This repository uses pre-commit hooks to ensure code quality and consistency. The following hooks are configured:

  1. Black - Python code formatter.
  2. Yamllint - YAML file linter.
  3. Shellcheck - Shell script static analysis.

To use these hooks:

  1. Install pre-commit:

    pip install pre-commit

  2. Install the git hooks:

    pre-commit install

The hooks will run automatically on git commit. You can also run them manually:

pre-commit run

Frequently Asked Questions

  • Q: What versions of Istio, Knative, Cert-Manager, Argo, ... are compatible with Kubeflow?
    A: Please refer to each individual component's documentation for a dependency compatibility range. For Istio, Knative, Dex, Cert-Manager, and OAuth2 Proxy, the versions in common are the ones we have validated.
  • Q: Can I use an earlier version of Kustomize with Kubeflow manifests?
    A: No, it is not supported anymore, although it might be possible with manual effort.