How to Install Charmed Kubeflow

Kubeflow, an open-source machine learning (ML) platform, empowers developers and data scientists to build, deploy, and manage scalable ML workflows on Kubernetes. Charmed Kubeflow takes this a step further by leveraging Juju charms, making the installation and management of Kubeflow even more straightforward. In this guide, we'll walk you through the process of installing Charmed Kubeflow, providing step-by-step instructions and useful examples to ensure a smooth deployment on your Kubernetes cluster.

Prerequisites:
Before we dive into the installation process, ensure you have the following prerequisites in place:

1. A running Kubernetes cluster.
2. Juju installed on your local machine or a dedicated controller.
3. Access to the internet for downloading required resources.

Step 1: Install Juju:
If you haven't installed Juju yet, follow these commands to set it up:

sudo snap install juju --classic

This command installs Juju as a snap in classic mode, ensuring it has the necessary permissions.

Step 2: Bootstrap Juju:
Initialize Juju and bootstrap your selected cloud or local Kubernetes cluster:

juju bootstrap <cloud-environment>

Replace <cloud-environment> with your target environment, such as "localhost" for a local Kubernetes cluster or "aws" for Amazon Web Services.

Step 3: Deploy Charmed Kubeflow:
Now that Juju is set up, let's deploy Charmed Kubeflow using the following command:

juju deploy charmed-kubeflow

This command instructs Juju to deploy the Charmed Kubeflow bundle on your Kubernetes cluster.

Step 4: Add Relations:
Charmed Kubeflow comprises various components that interact with each other. Add relations between the components using the following commands:

juju relate kubeflow-dashboard argo
juju relate kubeflow-dashboard katib
# Add more relations as needed

These commands establish connections between the Kubeflow Dashboard and other components like Argo and Katib.

Step 5: Expose Services:
Expose the necessary services to make them accessible externally:

juju expose kubeflow-dashboard

This command exposes the Kubeflow Dashboard service, allowing you to access it from outside the cluster.

Step 6: Access Charmed Kubeflow:
Retrieve the external IP address of the exposed service to access Charmed Kubeflow:

juju status kubeflow-dashboard

Locate the "public-address" field in the output and visit "http://<public-address>" in your browser.

Step 7: Explore Charmed Kubeflow:
Once you've accessed Charmed Kubeflow, explore the various features and components available through the Kubeflow Dashboard. Experiment with deploying ML models, managing workflows, and utilizing the tools integrated into the platform.

Congratulations! You've successfully installed Charmed Kubeflow on your Kubernetes cluster. This powerful platform simplifies the orchestration and management of machine learning workflows, providing a robust environment for your ML projects.