Kubernetes on AKS: From Zero to Production Workloads -Creating the AKS Cluster (Part 2/9)
Introduction Provisioning a Kubernetes cluster is the next step after preparing the development environment. In this part of the series, I moved from local tooling setup to creating an Azure Kubernetes Service (AKS) cluster, connecting kubectl to it, verifying the cluster, and preparing a dedicated namespace for workloads. The objective was to establish a working Kubernetes environment on Azure…
This article is a step-by-step guide for creating an Azure Kubernetes Service (AKS) cluster and preparing it for production workloads. The article is divided into 9 parts, and this portion covers the process of provisioning the AKS cluster, connecting kubectl to it, verifying the cluster, and creating a Kubernetes namespace.
First, the lab configuration was loaded by sourcing the lab.env file containing environment variables such as resource group name, cluster name, Azure region, and node size. The resource group was checked for existence and created if it did not exist.
Next, an AKS cluster was provisioned using the az aks create command with various parameters. The provisioning state 'Succeeded' confirmed successful cluster creation.
To allow local kubectl to communicate with the AKS cluster, credentials were retrieved using az aks get-credentials command, which merged the cluster credentials into the local kubeconfig file and selected the 'aks-lab' context. The current context was confirmed using kubectl config current-context command.
The cluster's status was verified by checking the node status with kubectl get nodes -o wide command. The output showed the node was in the Ready state, indicating it was ready to accept workloads.
The cluster information was checked using kubectl cluster-info command, which provided details about the control plane and its endpoints. The system pods running in the kube-system namespace were inspected using kubectl get pods --namespace kube-system command, ensuring that essential cluster components were operational and in the Running state.
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