Difficulty: Introduction
Estimated Time: 10 minutes

Kubeflow on Kubernetes

Kubeflow is an open, community-driven project to make it easy to deploy and manage an Machine Learning stack on Kubernetes.

This scenario currently being drafted. However, you will see that a functional Kubeflow instance will be running and is open to experimentation. If you know Kubeflow, your feedback to [email protected] and [email protected] would be helpful.

You will learn how:

  • to install Kubeflow on Kubernetes
  • to access Kubeflow tools

Kubeflow The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Its goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.

Conclusion

Kubeflow is an open, community driven project to make it easy to deploy and manage an Machine Learning stack on Kubernetes.

This scenario is in the process of drafting. However, you will see that a functional Kubeflow instance will be running and is open to experimentation. If you know Kubeflow, your feedback to [email protected] and [email protected] would be helpful.

Lessons Learned

With these steps you have learned:

  • ✔ how to install Kubeflow on Kubernetes,
  • ✔ how to access Kubeflow tools.

References


For a deeper understanding of these topics and more join
Jonathan Johnson
at various conferences, symposiums, workshops, and meetups.

Software Architectures ★ Speaker ★ Workshop Hosting ★ Kubernetes & Java Specialist

Kubeflow Raw Installation

Step 1 of 4

Your Kubernetes Cluster

For this scenario, Katacoda has just started a fresh Kubernetes cluster for you. Verify it's ready for your use.

kubectl version --short && \ kubectl get componentstatus && \ kubectl get nodes && \ kubectl cluster-info

The Helm package manager used for installing applications on Kubernetes is also available.

helm version --short

Kubernetes Dashboard

You can administer your cluster with the kubectl CLI tool or use the visual Kubernetes Dashboard. Use this script to access the protected Dashboard.

token.sh

Terminal
Kubernetes Dashboard
Kubeflow Dashboard
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