Argoflow-GCP

⚠️ Argoflow-GCP has been superseded by deployKF ⚠️

deployKF makes it easy to build reliable ML Platforms on Kubernetes and supports more than just Kubeflow!

deployKF supports all Kubernetes distributions and has native integrations with GCP.

• deploykf.org
• github.com/deployKF/deployKF

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Original README

This repository contains Kustomize manifests that point to the upstream manifest of each Kubeflow component and provides an easy way for people to change their deployment according to their need. Argo CD application manifests for each componenet will be used to deploy Kubeflow. The intended usage is for people to fork this repository, make their desired kustomizations, run a script to change the Argo CD application specs to point to their fork of this repository, and finally apply a master Argo CD application that will deploy all other applications.

To run the below script yq version 4 must be installed

• Overview of the steps:
  • Fork this repo
  • Modify the kustomizations for your purpose
  • Run ./setup_repo.py -c ./examples/setup.conf
  • Commit and push your changes
  • Install Argo CD in your Kubernetes cluster
  • Run kubectl apply -f distribution/kubeflow.yaml

Prerequisites

• yq
• kubeseal
• Python 3.8+
• Python libraries: pip install bcrypt passlib

Root files

• kustomization.yaml:
  • Kustomization file that references the Argo CD application files in argocd-applications
• kubeflow.yaml:
  • Argo CD application that deploys the Argo CD applications referenced in kustomization.yaml

Installing Argo CD

For this installation the HA version of Argo CD is used. Due to Pod Tolerations, 3 nodes will be required for this installation. If you do not wish to use a HA installation of Argo CD, edit this kustomization.yaml and remove /ha from the URI.

1. Next, to install Argo CD execute the following command:

kubectl apply -k distribution/argocd/base/

2. Install the Argo CD CLI tool from here

Note: Argo CD needs to be able access your repository to deploy applications. If the fork of this repository that you are planning to use with Argo CD is private you will need to add credentials so it can access the repository. Please see the instructions provided by Argo CD here.

Installing Kubeflow

• The purpose of this repository is to make it easy for people to customize their Kubeflow deployment and have it managed through a GitOps tool like Argo CD.
  • First, fork this repository and clone your fork locally.
  • Next, apply any customization you require in the kustomize folders of the Kubeflow applications.
  • Next will follow a set of recommended changes that we encourage everybody to make.

Ingress and Certificate

By default the Istio Ingress Gateway is setup to use a LoadBalancer and to redirect HTTP traffic to HTTPS.

If you do not wish to use a LoadBalancer, change the spec.type in gateway-service.yaml to NodePort.

To provide HTTPS out-of-the-box, the kubeflow-self-signing-issuer used by internal Kubeflow applications is setup to provide a certificate for the Istio Ingress Gateway.

To use a different certificate for the Ingress Gateway, change the spec.issuerRef.name to the cert-manager ClusterIssuer you would like to use in ingress-certificate.yaml and set the spec.commonName and spec.dnsNames[0] to your Kubeflow domain.

If you would like to use LetsEncrypt, a ClusterIssuer template if provided in lets-encrypt-dns-01.

Change Argo CD application specs and commit

To simplify the process of telling Argo CD to use your fork of this repo, a script is provided that updates the spec.source.repoURL and spec.source.targetRevision of all the Argo CD application specs.

./setup_repo.py -c ./examples/setup.conf

To change what Kubeflow or third-party componenets are included in the deployment, edit the root kustomization.yaml and comment or uncomment the components you do or don't want.

Next, commit your changes and push them to your repository.

Deploying Kubeflow

Once you've commited and pushed your changes to your repository, you can either choose to deploy componenet individually or deploy them all at once.

To deploy everything specified in the root kustomization.yaml, execute:

kubectl apply -f distribution/kubeflow.yaml

After this, you should start seeing applications being deployed in the Argo CD UI and what the resources each application create.

Generate credentials

[email protected] username=test password=test ./setup_credentials.sh

Updating the deployment

By default, all the Argo CD application specs included here are setup to automatically sync with the specified repoURL. If you would like to change something about your deployment, simply make the change, commit it and push it to your fork of this repo. Argo CD will automatically detect the changes and update the necessary resources in your cluster.

Customizing the Jupyter Web App

To customize the list of images presented in the Jupyter Web App and other related setting such as allowing custom images, edit the spawner_ui_config.yaml file.

Accessing the Argo CD UI

1. Access the Argo CD UI by exposing it through a LoadBalander, Ingress or by port-fowarding using

kubectl port-forward svc/argocd-server -n argocd 8080:443

2. Login to the Argo CD CLI. First get the default password for the admin user:

kubectl get secret argocd-initial-admin-secret \
  -n argocd \
  -o jsonpath="{.data.password}" | base64 -d

• Next, login with the following command:

  argocd login <ARGOCD_SERVER>  # e.g. localhost:8080 or argocd.example.com

• Finally, update the account password with:

  argocd account update-password

3. You can now login to the Argo CD UI with your new password. This UI will be handy to keep track of the created resources while deploying Kubeflow.