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Azure

In this tutorial, we'll create a Kubernetes v1.29.3 cluster on Azure with Flatcar Linux.

We'll declare a Kubernetes cluster using the Typhoon Terraform module. Then apply the changes to create a resource group, virtual network, subnets, security groups, controller availability set, worker scale set, load balancer, and TLS assets.

Controller hosts are provisioned to run an etcd-member peer and a kubelet service. Worker hosts run a kubelet service. Controller nodes run kube-apiserver, kube-scheduler, kube-controller-manager, and coredns, while kube-proxy and calico (or flannel) run on every node. A generated kubeconfig provides kubectl access to the cluster.

Requirements

  • Azure account
  • Azure DNS Zone (registered Domain Name or delegated subdomain)
  • Terraform v0.13.0+

Terraform Setup

Install Terraform v0.13.0+ on your system.

$ terraform version
Terraform v1.0.0

Read concepts to learn about Terraform, modules, and organizing resources. Change to your infrastructure repository (e.g. infra).

cd infra/clusters

Provider

Install the Azure az command line tool to authenticate with Azure.

az login

Configure the Azure provider in a providers.tf file.

provider "azurerm" {
  features {}
}

provider "ct" {}

terraform {
  required_providers {
    ct = {
      source  = "poseidon/ct"
      version = "0.11.0"
    }
    azurerm = {
      source = "hashicorp/azurerm"
      version = "3.50.0"
    }
  }
}

Additional configuration options are described in the azurerm provider docs.

Flatcar Linux Images

Flatcar Linux publishes images to the Azure Marketplace and requires accepting terms.

az vm image terms accept --publish kinvolk --offer flatcar-container-linux-free --plan stable
az vm image terms accept --publish kinvolk --offer flatcar-container-linux-free --plan stable-gen2

Cluster

Define a Kubernetes cluster using the module azure/flatcar-linux/kubernetes.

module "ramius" {
  source = "git::https://github.com/poseidon/typhoon//azure/flatcar-linux/kubernetes?ref=v1.29.3"

  # Azure
  cluster_name   = "ramius"
  region         = "centralus"
  dns_zone       = "azure.example.com"
  dns_zone_group = "example-group"

  # configuration
  ssh_authorized_key = "ssh-rsa AAAAB3Nz..."

  # optional
  worker_count    = 2
  host_cidr       = "10.0.0.0/20"
}

Reference the variables docs or the variables.tf source.

ssh-agent

Initial bootstrapping requires bootstrap.service be started on one controller node. Terraform uses ssh-agent to automate this step. Add your SSH private key to ssh-agent.

ssh-add ~/.ssh/id_rsa
ssh-add -L

Apply

Initialize the config directory if this is the first use with Terraform.

terraform init

Plan the resources to be created.

$ terraform plan
Plan: 86 to add, 0 to change, 0 to destroy.

Apply the changes to create the cluster.

$ terraform apply
...
module.ramius.null_resource.bootstrap: Still creating... (6m50s elapsed)
module.ramius.null_resource.bootstrap: Still creating... (7m0s elapsed)
module.ramius.null_resource.bootstrap: Creation complete after 7m8s (ID: 3961816482286168143)

Apply complete! Resources: 69 added, 0 changed, 0 destroyed.

In 4-8 minutes, the Kubernetes cluster will be ready.

Verify

Install kubectl on your system. Obtain the generated cluster kubeconfig from module outputs (e.g. write to a local file).

resource "local_file" "kubeconfig-ramius" {
  content  = module.ramius.kubeconfig-admin
  filename = "/home/user/.kube/configs/ramius-config"
}

List nodes in the cluster.

$ export KUBECONFIG=/home/user/.kube/configs/ramius-config
$ kubectl get nodes
NAME                  STATUS  ROLES   AGE  VERSION
ramius-controller-0   Ready   <none>  24m  v1.29.3
ramius-worker-000001  Ready   <none>  25m  v1.29.3
ramius-worker-000002  Ready   <none>  24m  v1.29.3

List the pods.

$ kubectl get pods --all-namespaces
NAMESPACE     NAME                                        READY  STATUS    RESTARTS  AGE
kube-system   coredns-7c6fbb4f4b-b6qzx                    1/1    Running   0         26m
kube-system   coredns-7c6fbb4f4b-j2k3d                    1/1    Running   0         26m
kube-system   calico-node-1m5bf                           2/2    Running   0         26m
kube-system   calico-node-7jmr1                           2/2    Running   0         26m
kube-system   calico-node-bknc8                           2/2    Running   0         26m
kube-system   kube-apiserver-ramius-controller-0          1/1    Running   0         26m
kube-system   kube-controller-manager-ramius-controller-0 1/1    Running   0         26m
kube-system   kube-proxy-j4vpq                            1/1    Running   0         26m
kube-system   kube-proxy-jxr5d                            1/1    Running   0         26m
kube-system   kube-proxy-lbdw5                            1/1    Running   0         26m
kube-system   kube-scheduler-ramius-controller-0          1/1    Running   0         26m

Going Further

Learn about maintenance and addons.

Variables

Check the variables.tf source.

Required

Name Description Example
cluster_name Unique cluster name (prepended to dns_zone) "ramius"
region Azure region "centralus"
dns_zone Azure DNS zone "azure.example.com"
dns_zone_group Resource group where the Azure DNS zone resides "global"
ssh_authorized_key SSH public key for user 'core' "ssh-rsa AAAAB3NZ..."

!!! tip Regions are shown in docs or with az account list-locations --output table.

DNS Zone

Clusters create a DNS A record ${cluster_name}.${dns_zone} to resolve a load balancer backed by controller instances. This FQDN is used by workers and kubectl to access the apiserver(s). In this example, the cluster's apiserver would be accessible at ramius.azure.example.com.

You'll need a registered domain name or delegated subdomain on Azure DNS. You can set this up once and create many clusters with unique names.

# Azure resource group for DNS zone
resource "azurerm_resource_group" "global" {
  name     = "global"
  location = "centralus"
}

# DNS zone for clusters
resource "azurerm_dns_zone" "clusters" {
  resource_group_name = azurerm_resource_group.global.name

  name      = "azure.example.com"
  zone_type = "Public"
}

Reference the DNS zone with azurerm_dns_zone.clusters.name and its resource group with "azurerm_resource_group.global.name.

!!! tip "" If you have an existing domain name with a zone file elsewhere, just delegate a subdomain that can be managed on Azure DNS (e.g. azure.mydomain.com) and update nameservers.

Optional

Name Description Default Example
controller_count Number of controllers (i.e. masters) 1 1
worker_count Number of workers 1 3
controller_type Machine type for controllers "Standard_B2s" See below
worker_type Machine type for workers "Standard_D2as_v5" See below
os_image Channel for a Container Linux derivative "flatcar-stable" flatcar-stable, flatcar-beta, flatcar-alpha
disk_size Size of the disk in GB 30 100
worker_priority Set priority to Spot to use reduced cost surplus capacity, with the tradeoff that instances can be deallocated at any time Regular Spot
controller_snippets Controller Container Linux Config snippets [] example
worker_snippets Worker Container Linux Config snippets [] example
networking Choice of networking provider "cilium" "calico" or "cilium" or "flannel"
host_cidr CIDR IPv4 range to assign to instances "10.0.0.0/16" "10.0.0.0/20"
pod_cidr CIDR IPv4 range to assign to Kubernetes pods "10.2.0.0/16" "10.22.0.0/16"
service_cidr CIDR IPv4 range to assign to Kubernetes services "10.3.0.0/16" "10.3.0.0/24"
worker_node_labels List of initial worker node labels [] ["worker-pool=default"]

Check the list of valid machine types and their specs. Use az vm list-skus to get the identifier.

!!! warning Unlike AWS and GCP, Azure requires its virtual networks to have non-overlapping IPv4 CIDRs (yeah, go figure). Instead of each cluster just using 10.0.0.0/16 for instances, each Azure cluster's host_cidr must be non-overlapping (e.g. 10.0.0.0/20 for the 1st cluster, 10.0.16.0/20 for the 2nd cluster, etc).

!!! warning Do not choose a controller_type smaller than Standard_B2s. Smaller instances are not sufficient for running a controller.

Spot Priority

Add worker_priority=Spot to use Spot Priority workers that run on Azure's surplus capacity at lower cost, but with the tradeoff that they can be deallocated at random. Spot priority VMs are Azure's analog to AWS spot instances or GCP premptible instances.