A Kubernetes Comparison part 2: Azure Kubernetes Service (AKS) – GEO Jobe

A Kubernetes Comparison part 2: Azure Kubernetes Service (AKS) - GEO Jobe

Welcome back to my Kubernetes comparison saga, part 2! Previously I wrote an article called A Kubernetes Comparison part 1: Amazon EKS about Amazon Elastic Kubernetes service. In this article, we will be evaluating Azure Kubernetes Service (AKS).

Cloud Provider – AKS

AKS is a Kubernetes service managed by Azure, a Microsoft cloud computing platform. It includes high-availability clusters, automated upgrades, and even-based auto-scaling. AKS is natively integrated with Azure services, including Load Balancer, Visual Studio Code, Monitor, Search, and Azure DevOps.

Race for K8s Cloud Providers

Cloud Provider – AKS

In this series of articles for the deployment of ArcGIS Enterprise on Kubernetes, I will create a cluster and deploy ArcGIS Enterprise on Azure Kubernetes Services. We are on part 2! Amazon Elastic Kubernetes Service was done in Part 1, article link here.

Creating a Kubernetes Cluster Using Azure CLI

Azure CLI is a command-line interface (CLI) tool for creating and managing resources and clusters on AKS.

Azure AKS

To create a cluster using Azure CLI, you will need to install the Azure CLI on your macOS, Linux or Windows. I will install Azure CLI on Ubuntu, Debian; a Linux distro.

If you are using a local installation, sign in to the Azure CLI by using az login Command. For other sign-in options, see sign in with the Azure CLI. Run az version to find the version and dependent libraries that are installed. Verify Microsoft.OperationsManagement and Microsoft.OperationalInsights providers are registered on your subscription.

  Image Caption: verify Microsoft providers.

Create a resource group

An Azure resource group is a logical group in which Azure resources are deployed and you are required to specify a location when creating the resource group.

 Image Caption: az command to create resource group & location.

Create AKS cluster

Create an AKS cluster using az aks create command with the –enable-addons monitoring and –enable msi-auth-for-monitoring parameter to enable Azure Monitor Container insights with managed Identity authentication.

az aks create –resource-group GEO-Coders –name admintools-cluster –enable-managed-identity –node-count 3 -s Standard_DS3_v2 –enable-addons monitoring –enable-msi-auth-for-monitoring –generate-ssh-keys

Image Caption: Kubernetes cluster & resource group.

Connect to the cluster

Configure kubectl to connect to your Kubernetes cluster using the az aks get-credentials.

kubeadmin@DESKTOP-R2D2RN6:~/kubernetes11.0/arcgis-enterprise/110/setup$ az aks get-credentials –resource-group GEO-Coders –name


Merged “GEO-admintools” as current context in


Image Caption: Connect to cluster.

If you can’t connect to cluster, check the current context

$ kubectl config current-context – if the deployed cluster is not set to as current context.

$ kubectl config set-current <cluster name>

Image Caption: Deployed nodes Azure Portal.

Nodes ready for Kubernetes deployment, run the script!

Image Caption: Esri Kubernetes deployment script.
Image Caption: Namespace, encryption keyfile & container registry.
Image Caption: Summary of resources to be deployed.
Image Caption: Creating Pods.

ArcGIS Enterprise has successfully deployed on Kubernetes!

That’s a wrap!

Now you know how to create a cluster using az aks and deploy ArcGIS Enterprise Kubernetes in Azure Kubernetes Services!

In my next series, I will demonstrate Google Kubernetes Engine (GKE) ArcGIS Enterprise Kubernetes deployment.

Our Services

Now, it’s your turn to try ArcGIS Enterprise Kubernetes. Geo Jobe is here to help you deploy Kubernetes safely and reliably for your organization on any of the public cloud providers, including AWS, Azure, and Google. We offer self-managed and managed service cloud deployment! Reach out to our team today via e-mail for a free-hour consultation!

This content was originally published here.