🔬Deploying Galileo - AKS

This page details the steps to deploy a Galileo Kubernetes cluster in Microsoft Azure's AKS service environment.

⏱ Total time for deployment: 30-45 minutes

Recommended Cluster Configuration

Configuration	Recommended Value
Nodes in the cluster’s core nodegroup	4 (min) 5 (max) 4 (desired)
CPU per core node	4 CPU
RAM per core node	16 GiB RAM
Number of nodes in the cluster’s runners nodegroup	1 (min) 5 (max) 1 (desired)
CPU per runner node	8 CPU
RAM per runner node	32 GiB RAM
Minimum volume size per node	200 GiB
Required Kubernetes API version	1.24
Storage class	standard

Step 1: [Optional] Create a dedicated resource group for Galileo cluster

az group create --name galileo --location eastus

Step 2: Provision an AKS cluster

az aks create -g galileo -n galileo --enable-managed-identity --node-count 4 --max-count 7 --min-count 4 -s Standard_D4_v4 --nodepool-name gcore --nodepool-labels "galileo-node-type=galileo-core" --enable-cluster-autoscaler

Step 3: Add Galileo Runner nodepool

Az aks nodepool add -g galileo -n grunner --cluster-name galileo --node-count 1 --max-count 5 --min-count 1 --node-count 1 -s Standard_D8_v4 --labels "galileo-node-type=galileo-runner" --enable-cluster-autoscaler

Step 4: Get cluster credentials

az aks get-credentials --resource-group galileo --name galileo

Step 5: Apply Galileo manifest

kubectl apply -f galileo.yaml

Step 6: Customer DNS Configuration

Galileo has 4 main URLs (shown below). In order to make the URLs accessible across the company, you have to set the following DNS addresses in your DNS provider after the platform is deployed.

Service	URL
API	api.galileo.company.[com|ai|io…]
Data	data.galileo.company.[com|ai|io…]
UI	console.galileo.company.[com|ai|io…]
Grafana	grafana.galileo.company.[com|ai|io…]