Welcome to the guide on How to deploy Charmed MLflow on AWS Elastic Kubernetes Service (EKS). In this guide we will create AWS EKS cluster, we will connect Juju to it and we will deploy MLflow bundle.
Prerequisites: We are assuming that you are running this tutorial on a local machine with the following specs:
- Runs Ubuntu 22.04 or later
- Has an AWS account (How to create an AWS account)
Contents:
Deploy EKS cluster
See here for a complete guide on how to do exactly that.
Setup juju
Now setup your local juju to talk to remote kubernetes cloud. First install juju with:
sudo snap install juju --classic
Now connect it to the kubernetes (we chose the name kubeflow, but you can choose any other name).
juju add-k8s kubeflow
Now create controller (we chose the name kubeflow-controller, but you can choose any other name).
juju bootstrap --no-gui kubeflow kubeflow-controller
Don’t forget to add juju model (we chose the name kubeflow, but you can choose any other name).
juju add-model kubeflow
Deploy MLflow bundle
Now deploy MLflow bundle with the following command:
juju deploy mlflow --channel=2.1/edge --trust
Wait until all charms are in active state. You can check the state of the charms with command:
juju status --watch 5s --relations