Prepare Kubernetes Cluster for Concurrent for MLflow

Specific actions need to be taken on your Kubernetes cluster in order to prepare it for use by Concurrent for MLflow.

These instructions differ from Kubernetes implementation to implementation. Currently, Concurrent for MLflow supports EKS and GKE. Choose your flavor of Kubernetes below and follow the instructions.

EKS

The easiest way to prepare an EKS cluster for use by Concurrent for MLflow is to create a dedicated cluster. The IAM roles, the cluster itself, k8s roles in the cluster and service components in the cluster are all created by a single CFT. If you wish to create a brand new EKS Kubernetes cluster for use with Concurrent for MLflow, Click here.

Alternatively, you can also follow a series of steps and configure an existing EKS cluster for use with Concurrent for MLflow. Click here for instructions on adding configuration items to your existing EKS Kubernetes cluster.

GKE

There are three steps in enabling a GKE cluster for use by Concurrent for MLflow:

• Step 1: Create Service Account - Click here for details
• Step 2: Add Kubernetes Role for Concurrent for MLflow Pods - Click here for details
• Step 3: Create a Docker-In-Docker service in your kubernetes for Concurrent for MLflow - Click here for details

Add Namespace to existing cluster

Here are instructions for creating a new namespace and configuring it for use with Concurrent for MLflow