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# MLflow and Kubeflow Installation On Kubernetes
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This guide demonstrates how to install a remote MLflow Tracking Server & Kubeflow on Kubernetes. The instructions below demonstrate how to install using a Cloud Native Application Bundle (CNAB). Please see the document referenced below for manual installation instructions.
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**Reference Material:**
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- [Manual Installation Instructions for Mlflow](./docs/manual_installation.md)
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- [Manual Installation Instructions for Kubeflow](/Research/kubeflow-on-azure-stack/Readme.md)
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**Prerequisite:**
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- Will need the k8 cluster ".kubeconfig" file on your local machine to execute commands on the k8 cluster
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- Below instructions are not intended to be run from the master node, but from another Linux dev environment
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- Clone the github repo at "/home/user/" path
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## Step 1: Install Porter
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Make sure you have Porter installed. You can find the installation instructions for your OS at the link provided below.
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[Porter Installation Instructions](https://porter.sh/install/)
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**NOTE:** be sure to add porter to your PATH so it can find the binaries
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## Step 2 : Install CNAB Packages
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We have CNAB packages for Kubeflow & MLFlow, use any of the below link to install
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- [Link to Kubeflow](https://github.com/NealAnalyticsLLC/azure-intelligent-edge-patterns/blob/mlflow-on-azure-stack/Research/mlflow-on-azure-stack/porter/kubeflow/Readme.md)
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- [Link to MLFlow](https://github.com/NealAnalyticsLLC/azure-intelligent-edge-patterns/blob/mlflow-on-azure-stack/Research/mlflow-on-azure-stack/porter/mlflow/Readme.md)

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