Multi-user, auth-enabled Kubeflow with kfctl_existing_arrikto

Instructions for installing Kubeflow with kfctl_existing_arrikto.yaml config

Follow these instructions if you want to install Kubeflow on an existing Kubernetes cluster.

This installation of Kubeflow is maintained by Arrikto, it is geared towards existing Kubernetes clusters and does not depend on any cloud-specific feature.

In this reference architecture, we use Dex and Istio for vendor-neutral authentication.

This deployment works well for on-prem installations, where companies/organizations need LDAP/AD integration for multi-user authentication, and they don’t want to depend on any cloud-specific feature.

kfctl_existing_arrikto_architecture

Read the relevant article for more info about this architecture.

Before you start

The instructions below assume that you have an existing Kubernetes cluster.

Prepare your environment

Follow these steps to download the kfctl binary for the Kubeflow CLI and set some handy environment variables:

Download the kfctl v0.7.1 release from the Kubeflow releases page.

Unpack the tar ball:

tar -xvf kfctl_<release tag>_<platform>.tar.gz

Create environment variables to make the deployment process easier:

# Add kfctl to PATH, to make the kfctl binary easier to use.
# Use only alphanumeric characters or - in the directory name.
export PATH=$PATH:"<path-to-kfctl>"

# Set the following kfctl configuration file:
export CONFIG_URI="https://raw.githubusercontent.com/kubeflow/manifests/b37bad9eded2c47c54ce1150eb9e6edbfb47ceda/kfdef/kfctl_existing_arrikto.0.7.1.yaml"

# Set KF_NAME to the name of your Kubeflow deployment. You also use this
# value as directory name when creating your configuration directory.
# For example, your deployment name can be 'my-kubeflow' or 'kf-test'.
export KF_NAME=<your choice of name for the Kubeflow deployment>

# Set the path to the base directory where you want to store one or more 
# Kubeflow deployments. For example, /opt.
# Then set the Kubeflow application directory for this deployment.
export BASE_DIR=<path to a base directory>
export KF_DIR=${BASE_DIR}/${KF_NAME}

Notes:

${KF_NAME} - The name of your Kubeflow deployment. If you want a custom deployment name, specify that name here. For example, my-kubeflow or kf-test. The value of KF_NAME must consist of lower case alphanumeric characters or ‘-’, and must start and end with an alphanumeric character. The value of this variable cannot be greater than 25 characters. It must contain just a name, not a directory path. You also use this value as directory name when creating the directory where your Kubeflow configurations are stored, that is, the Kubeflow application directory.
${KF_DIR} - The full path to your Kubeflow application directory.
${CONFIG_URI} - The GitHub address of the configuration YAML file that you want to use to deploy Kubeflow. The URI used in this guide is https://raw.githubusercontent.com/kubeflow/manifests/b37bad9eded2c47c54ce1150eb9e6edbfb47ceda/kfdef/kfctl_existing_arrikto.0.7.1.yaml. When you run kfctl apply or kfctl build (see the next step), kfctl creates a local version of the configuration YAML file which you can further customize if necessary.

Set up and deploy Kubeflow

To set up and deploy Kubeflow using the default settings, run the kfctl apply command:

mkdir -p ${KF_DIR}
cd ${KF_DIR}

# Download the config file and change the default login credentials.
wget -O kfctl_existing_arrikto.yaml $CONFIG_URI
export CONFIG_FILE=${KF_DIR}/kfctl_existing_arrikto.yaml

# Credentials for the default user are admin@kubeflow.org:12341234
# To change them, please edit the dex-auth application parameters
# inside the KfDef file.
vim $CONFIG_FILE

kfctl apply -V -f ${CONFIG_FILE}

Alternatively, set up your configuration for later deployment

If you want to customize your configuration before deploying Kubeflow, you can set up your configuration files first, then edit the configuration, then deploy Kubeflow:

Run the kfctl build command to set up your configuration:

mkdir -p ${KF_DIR}
cd ${KF_DIR}
kfctl build -V -f ${CONFIG_URI}

Edit the configuration files, as described in the guide to customizing your Kubeflow deployment.
Set an environment variable pointing to your local configuration file:

export CONFIG_FILE=${KF_DIR}/kfctl_existing_arrikto.yaml

Run the kfctl apply command to deploy Kubeflow:

kfctl apply -V -f ${CONFIG_FILE}

Accessing Kubeflow

Log in as a static user

The default way of accessing Kubeflow is via port-forward. This enables you to get started quickly without imposing any requirements on your environment.

# Kubeflow will be available at localhost:8080
kubectl port-forward svc/istio-ingressgateway -n istio-system 8080:80

The credentials are the ones you specified in the KfDef file, or the default (admin@kubeflow.org:12341234). It is highly recommended to change the default credentials. To add static users or change the existing one, see the relevant section.

When you’re ready, you can expose your Kubeflow deployment with a LoadBalancer Service or an Ingress. For more information, see the expose kubeflow section.

Add static users for basic auth

To add users to basic auth, you just have to edit the Dex ConfigMap under the key staticPasswords.

# Download the dex config
kubectl get configmap dex -n auth -o jsonpath='{.data.config\.yaml}' > dex-config.yaml

# Edit the dex config with extra users.
# The password must be hashed with bcrypt with an at least 10 difficulty level.
# You can use an online tool like: https://passwordhashing.com/BCrypt

# After editing the config, update the ConfigMap
kubectl create configmap dex --from-file=config.yaml=dex-config.yaml -n auth --dry-run -oyaml | kubectl apply -f -

# Restart Dex to pick up the changes in the ConfigMap
kubectl rollout restart deployment dex -n auth

Log in with LDAP / Active Directory

As you saw in the overview, we use Dex for providing user authentication. Dex supports several authentication methods:

Static users, as described above
LDAP / Active Directory
External Identity Provider (IdP) (for example Google, LinkedIn, GitHub, …)

This section focuses on setting up Dex to authenticate with an existing LDAP database.

(Optional) If you don’t have an LDAP database, you can set one up following these instructions:
1. Deploy a new LDAP Server as a StatefulSet. This also deploys phpLDAPadmin, a GUI for interacting with your LDAP Server.
2. Seed the LDAP database with new entries.
```
kubectl exec -it -n kubeflow ldap-0 -- bash
ldapadd -x -D "cn=admin,dc=example,dc=com" -W
# Enter password "admin".
# Press Ctrl+D to complete after pasting the snippet below.
```
  dn: ou=People,dc=example,dc=com objectClass: organizationalUnit ou: People
  
  dn: cn=Nick Kiliadis,ou=People,dc=example,dc=com objectClass: person objectClass: inetOrgPerson givenName: Nick sn: Kiliadis cn: Nick Kiliadis uid: nkili mail: nkili@example.com userpassword: 12341234
  
  dn: cn=Robin Spanakopita,ou=People,dc=example,dc=com objectClass: person objectClass: inetOrgPerson givenName: Robin sn: Spanakopita cn: Robin Spanakopita uid: rspanakopita mail: rspanakopita@example.com userpassword: 43214321
  
  Group definitions.
  
  dn: ou=Groups,dc=example,dc=com objectClass: organizationalUnit ou: Groups
  
  dn: cn=admins,ou=Groups,dc=example,dc=com objectClass: groupOfNames cn: admins member: cn=Nick Kiliadis,ou=People,dc=example,dc=com
  
  dn: cn=developers,ou=Groups,dc=example,dc=com objectClass: groupOfNames cn: developers member: cn=Nick Kiliadis,ou=People,dc=example,dc=com member: cn=Robin Spanakopita,ou=People,dc=example,dc=com
```
</details>
```
To use your LDAP/AD server with Dex, you have to edit the Dex config. To edit the ConfigMap containing the Dex config, follow these steps:
1. Get the current Dex config from the corresponding Config Map.
```
        kubectl get configmap dex -n auth -o jsonpath='{.data.config\.yaml}' > dex-config.yaml
        
```
2. Add the LDAP-specific options. Here is an example to help you out. It is configured to work with the example LDAP Server you set up previously.
3. Append the LDAP config section to the dex config.
```
        cat dex-config.yaml dex-config-ldap-partial.yaml > dex-config-final.yaml
        
```
4. Apply the new config.
```
        kubectl create configmap dex --from-file=config.yaml=dex-config-final.yaml -n auth --dry-run -oyaml | kubectl apply -f -
        
```
5. Restart the Dex deployment: kubectl rollout restart deployment dex -n auth

Expose Kubeflow

While port-forward is a great way to get started, it is not a long-term, production-ready solution. In this section, we explore the process of exposing your cluster to the outside world.

NOTE: It is highly recommended to change the default credentials before exposing your Kubeflow cluster. See the relevant section for how to edit Dex static users.

Secure with HTTPS

Since we are exposing our cluster to the outside world, it’s important to secure it with HTTPS. Here we will configure automatic self-signed certificates.

Edit the Istio Gateway Object and expose port 443 with HTTPS. In addition, make port 80 redirect to 443:

kubectl edit -n kubeflow gateways.networking.istio.io kubeflow-gateway

The Gateway Spec should look like the following:

spec:
  selector:
    istio: ingressgateway
  servers:
  - hosts:
    - '*'
    port:
      name: http
      number: 80
      protocol: HTTP
    # Upgrade HTTP to HTTPS
    tls:
      httpsRedirect: true
  - hosts:
    - '*'
    port:
      name: https
      number: 443
      protocol: HTTPS
    tls:
      mode: SIMPLE
      privateKey: /etc/istio/ingressgateway-certs/tls.key
      serverCertificate: /etc/istio/ingressgateway-certs/tls.crt

Expose with a LoadBalancer

If you don’t have support for LoadBalancer on your cluster, please follow the instructions below to deploy MetalLB in Layer 2 mode. (You can read more about Layer 2 mode in the MetalLB docs.)

Deploy MetalLB:

Apply the manifest:

kubectl apply -f https://raw.githubusercontent.com/google/metallb/v0.8.1/manifests/metallb.yaml

Allocate a pool of addresses on your local network for MetalLB to use. You need at least one address for the Istio Gateway. This example assumes addresses 10.0.0.100-10.0.0.110. You must modify these addresses based on your environment.

cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: ConfigMap
metadata:
  namespace: metallb-system
  name: config
data:
  config: |
    address-pools:
    - name: default
      protocol: layer2
      addresses:
      - 10.0.0.100-10.0.0.110
EOF

Ensure that MetalLB works as expected (optional):

Create a dummy service:

kubectl create service loadbalancer nginx --tcp=80:80
service/nginx created

Ensure that MetalLB has allocated an IP address for the service:

kubectl describe service nginx
...
Events:
  Type    Reason       Age   From                Message
  ----    ------       ----  ----                -------
  Normal  IPAllocated  69s   metallb-controller  Assigned IP "10.0.0.101"

Check the corresponding MetalLB logs:

kubectl logs -n metallb-system -l component=controller
...
{"caller":"service.go:98","event":"ipAllocated","ip":"10.0.0.101","msg":"IP address assigned by controller","service":"default/nginx","ts":"2019-08-09T15:12:09.376779263Z"}

Create a pod that will be exposed with the service:

kubectl run nginx --image nginx --restart=Never -l app=nginx
pod/nginx created

Ensure that MetalLB has assigned a node to announce the allocated IP address:

kubectl describe service nginx
...
Events:
  Type    Reason       Age   From                Message
  ----    ------       ----  ----                -------
   Normal  nodeAssigned  4s    metallb-speaker     announcing from node "node-2"

Check the corresponding MetalLB logs:

kubectl logs -n metallb-system -l component=speaker
...
{"caller":"main.go:246","event":"serviceAnnounced","ip":"10.0.0.101","msg":"service has IP, announcing","pool":"default","protocol":"layer2","service":"default/nginx","ts":"2019-08-09T15:14:02.433876894Z"}

Check that MetalLB responds to ARP requests for the allocated IP address:

arping -I eth0 10.0.0.101
...
ARPING 10.0.0.101 from 10.0.0.204 eth0
Unicast reply from 10.0.0.101 [6A:13:5A:D2:65:CB]  2.619ms

Check the corresponding MetalLB logs:

kubectl logs -n metallb-system -l component=speaker
...
{"caller":"arp.go:102","interface":"eth0,"ip":"10.0.0.101","msg":"got ARP request for service IP, sending response","responseMAC":"6a:13:5a:d2:65:cb","senderIP":"10.0.0.204","senderMAC":"9a:1f:7c:95:ca:dc","ts":"2019-08-09T15:14:52.912056021Z"}

Verify that everything works as expected:

curl http://10.0.0.101
...
<p><em>Thank you for using nginx.</em></p>
...

Clean up:

kubectl delete service nginx
kubectl delete pod nginx

To expose Kubeflow with a LoadBalancer Service, just change the type of the istio-ingressgateway Service to LoadBalancer.

kubectl patch service -n istio-system istio-ingressgateway -p '{"spec": {"type": "LoadBalancer"}}'

After that, get the LoadBalancer’s IP or Hostname from its status and create the necessary certificate.

kubectl get svc -n istio-system istio-ingressgateway -o jsonpath='{.status.loadBalancer.ingress[0]}'

Create the Certificate with cert-manager:

apiVersion: cert-manager.io/v1alpha2
kind: Certificate
metadata:
  name: istio-ingressgateway-certs
  namespace: istio-system
spec:
  commonName: istio-ingressgateway.istio-system.svc
  # Use ipAddresses if your LoadBalancer issues an IP
  ipAddresses:
  - <LoadBalancer IP>
  # Use dnsNames if your LoadBalancer issues a hostname (eg on AWS)
  dnsNames:
  - <LoadBalancer HostName>
  isCA: true
  issuerRef:
    kind: ClusterIssuer
    name: kubeflow-self-signing-issuer
  secretName: istio-ingressgateway-certs

After applying the above Certificate, cert-manager will generate the TLS certificate inside the istio-ingressgateway-certs secrets. The istio-ingressgateway-certs secret is mounted on the istio-ingressgateway deployment and used to serve HTTPS.

Navigate to https://<LoadBalancer Address>/ and start using Kubeflow.

Troubleshooting

If the Kubeflow dashboard is not available at https://<kubeflow address> ensure that:

the virtual services have been created:
```
kubectl get virtualservices -n kubeflow
kubectl get virtualservices -n kubeflow centraldashboard -o yaml
```
If not, then kfctl has aborted for some reason, and not completed successfully.

OIDC auth service redirects you to Dex:

curl -k https://<kubeflow address>/ -v
...
< HTTP/2 302
< content-type: text/html; charset=utf-8
< location:
/dex/auth?client_id=kubeflow-authservice-oidc&redirect_uri=%2Flogin%2Foidc&response_type=code&scope=openid+profile+email+groups&state=vSCMnJ2D
< date: Fri, 09 Aug 2019 14:33:21 GMT
< content-length: 181
< x-envoy-upstream-service-time: 0
< server: istio-envoy

Please join the Kubeflow Slack to report any issues, request help, and give us feedback on this config.

Some additional debugging information:

OIDC AuthService logs:

kubectl logs -n istio-system -l app=authservice

Dex logs:

kubectl logs -n auth -l app=dex

Istio ingress-gateway logs:

kubectl logs -n istio-system -l istio=ingressgateway

Istio ingressgateway service:

kubectl get service -n istio-system istio-ingressgateway -o yaml

MetalLB logs:

kubectl logs -n metallb-system -l component=speaker
...
{"caller":"arp.go:102","interface":"br100","ip":"10.0.0.100","msg":"got ARP request for service IP, sending response","responseMAC":"62:41:bd:5f:cc:0d","senderIP":"10.0.0.204","senderMAC":"9a:1f:7c:95:ca:dc","ts":"2019-07-31T13:19:19.7082836Z"}

kubectl logs -n metallb-system  -l component=controller
...
{"caller":"service.go:98","event":"ipAllocated","ip":"10.0.0.100","msg":"IP address assigned by controller","service":"istio-system/istio-ingressgateway","ts":"2019-07-31T12:17:46.234638607Z"}

Delete Kubeflow

Run the following commands to delete your deployment and reclaim all resources:

cd ${KF_DIR}
# If you want to delete all the resources, run:
kfctl delete -f ${CONFIG_FILE}

Understanding the deployment process

The kfctl deployment process includes the following commands:

kfctl build - (Optional) Creates configuration files defining the various resources in your deployment. You only need to run kfctl build if you want to edit the resources before running kfctl apply.
kfctl apply - Creates or updates the resources.
kfctl delete - Deletes the resources.

Application layout

Your Kubeflow application directory ${KF_DIR} contains the following files and directories:

${CONFIG_FILE} is a YAML file that defines configurations related to your Kubeflow deployment.
- This file is a copy of the GitHub-based configuration YAML file that you used when deploying Kubeflow: https://raw.githubusercontent.com/kubeflow/manifests/b37bad9eded2c47c54ce1150eb9e6edbfb47ceda/kfdef/kfctl_existing_arrikto.0.7.1.yaml
- When you run kfctl apply or kfctl build, kfctl creates a local version of the configuration file, ${CONFIG_FILE}, which you can further customize if necessary.
kustomize is a directory that contains the kustomize packages for Kubeflow applications. See how Kubeflow uses kustomize.
- The directory is created when you run kfctl build or kfctl apply.
- You can customize the Kubernetes resources by modifying the manifests and running kfctl apply again.

We recommend that you check in the contents of your ${KF_DIR} directory into source control.

Next steps

Run a sample machine learning workflow.
Get started with Kubeflow Pipelines.

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Last modified 31.10.2019: remove trailing slash for example BASE_DIR (#1297) (df813693)

You are viewing documentation for Kubeflow 0.7

Multi-user, auth-enabled Kubeflow with kfctl_existing_arrikto

Before you start

Prepare your environment

Set up and deploy Kubeflow

Alternatively, set up your configuration for later deployment

Accessing Kubeflow

Log in as a static user

Add static users for basic auth

Log in with LDAP / Active Directory

Group definitions.

Expose Kubeflow

Secure with HTTPS

Expose with a LoadBalancer

Troubleshooting

Delete Kubeflow

Understanding the deployment process

Application layout

Next steps

Feedback