Install clusterctl binary with curl on Linux

If you are unsure you can determine your computers architecture by running uname -a

Download for AMD64:

curl -L https://github.com/kubernetes-sigs/cluster-api/releases/download/v1.6.2/clusterctl-linux-amd64 -o clusterctl

Download for ARM64:

curl -L https://github.com/kubernetes-sigs/cluster-api/releases/download/v1.6.2/clusterctl-linux-arm64 -o clusterctl

Download for PPC64LE:

curl -L https://github.com/kubernetes-sigs/cluster-api/releases/download/v1.6.2/clusterctl-linux-ppc64le -o clusterctl

Install clusterctl:

sudo install -o root -g root -m 0755 clusterctl /usr/local/bin/clusterctl

Test to ensure the version you installed is up-to-date:

clusterctl version

Install clusterctl binary with curl on macOS

If you are unsure you can determine your computers architecture by running uname -a

Download for AMD64:

curl -L https://github.com/kubernetes-sigs/cluster-api/releases/download/v1.6.2/clusterctl-darwin-amd64 -o clusterctl

Download for M1 CPU (”Apple Silicon”) / ARM64:

curl -L https://github.com/kubernetes-sigs/cluster-api/releases/download/v1.6.2/clusterctl-darwin-arm64 -o clusterctl

Make the clusterctl binary executable.

chmod +x ./clusterctl

Move the binary in to your PATH.

sudo mv ./clusterctl /usr/local/bin/clusterctl

Test to ensure the version you installed is up-to-date:

clusterctl version

Install clusterctl with homebrew on macOS and Linux

Install the latest release using homebrew:

brew install clusterctl

Test to ensure the version you installed is up-to-date:

clusterctl version

Install clusterctl binary with curl on Windows using PowerShell

Go to the working directory where you want clusterctl downloaded.

Download the latest release; on Windows, type:

curl.exe -L https://github.com/kubernetes-sigs/cluster-api/releases/download/v1.6.2/clusterctl-windows-amd64.exe -o clusterctl.exe

Append or prepend the path of that directory to the PATH environment variable.

Test to ensure the version you installed is up-to-date:

clusterctl.exe version

Download the latest binary of clusterawsadm from the AWS provider releases. The clusterawsadm command line utility assists with identity and access management (IAM) for Cluster API Provider AWS.

curl -L https://github.com/kubernetes-sigs/cluster-api-provider-aws/releases/download/v2.4.0/clusterawsadm-linux-amd64 -o clusterawsadm

chmod +x clusterawsadm

sudo mv clusterawsadm /usr/local/bin

clusterawsadm version

export AWS_REGION=us-east-1 # This is used to help encode your environment variables
export AWS_ACCESS_KEY_ID=<your-access-key>
export AWS_SECRET_ACCESS_KEY=<your-secret-access-key>
export AWS_SESSION_TOKEN=<session-token> # If you are using Multi-Factor Auth.

# The clusterawsadm utility takes the credentials that you set as environment
# variables and uses them to create a CloudFormation stack in your AWS account
# with the correct IAM resources.
clusterawsadm bootstrap iam create-cloudformation-stack

# Create the base64 encoded credentials using clusterawsadm.
# This command uses your environment variables and encodes
# them in a value to be stored in a Kubernetes Secret.
export AWS_B64ENCODED_CREDENTIALS=$(clusterawsadm bootstrap credentials encode-as-profile)

# Finally, initialize the management cluster
clusterctl init --infrastructure aws

curl -L https://github.com/kubernetes-sigs/cluster-api-provider-aws/releases/download/v2.4.0/clusterawsadm-darwin-amd64 -o clusterawsadm

curl -L https://github.com/kubernetes-sigs/cluster-api-provider-aws/releases/download/v2.4.0/clusterawsadm-darwin-arm64 -o clusterawsadm

chmod +x clusterawsadm

sudo mv clusterawsadm /usr/local/bin

clusterawsadm version

export AWS_REGION=us-east-1 # This is used to help encode your environment variables
export AWS_ACCESS_KEY_ID=<your-access-key>
export AWS_SECRET_ACCESS_KEY=<your-secret-access-key>
export AWS_SESSION_TOKEN=<session-token> # If you are using Multi-Factor Auth.

# The clusterawsadm utility takes the credentials that you set as environment
# variables and uses them to create a CloudFormation stack in your AWS account
# with the correct IAM resources.
clusterawsadm bootstrap iam create-cloudformation-stack

# Create the base64 encoded credentials using clusterawsadm.
# This command uses your environment variables and encodes
# them in a value to be stored in a Kubernetes Secret.
export AWS_B64ENCODED_CREDENTIALS=$(clusterawsadm bootstrap credentials encode-as-profile)

# Finally, initialize the management cluster
clusterctl init --infrastructure aws

brew install clusterawsadm

clusterawsadm version

export AWS_REGION=us-east-1 # This is used to help encode your environment variables
export AWS_ACCESS_KEY_ID=<your-access-key>
export AWS_SECRET_ACCESS_KEY=<your-secret-access-key>
export AWS_SESSION_TOKEN=<session-token> # If you are using Multi-Factor Auth.

# The clusterawsadm utility takes the credentials that you set as environment
# variables and uses them to create a CloudFormation stack in your AWS account
# with the correct IAM resources.
clusterawsadm bootstrap iam create-cloudformation-stack

# Create the base64 encoded credentials using clusterawsadm.
# This command uses your environment variables and encodes
# them in a value to be stored in a Kubernetes Secret.
export AWS_B64ENCODED_CREDENTIALS=$(clusterawsadm bootstrap credentials encode-as-profile)

# Finally, initialize the management cluster
clusterctl init --infrastructure aws

curl.exe -L https://github.com/kubernetes-sigs/cluster-api-provider-aws/releases/download/v2.4.0/clusterawsadm-windows-amd64.exe -o clusterawsadm.exe

clusterawsadm.exe version

$Env:AWS_REGION="us-east-1" # This is used to help encode your environment variables
$Env:AWS_ACCESS_KEY_ID="<your-access-key>"
$Env:AWS_SECRET_ACCESS_KEY="<your-secret-access-key>"
$Env:AWS_SESSION_TOKEN="<session-token>" # If you are using Multi-Factor Auth.

# The clusterawsadm utility takes the credentials that you set as environment
# variables and uses them to create a CloudFormation stack in your AWS account
# with the correct IAM resources.
clusterawsadm bootstrap iam create-cloudformation-stack

# Create the base64 encoded credentials using clusterawsadm.
# This command uses your environment variables and encodes
# them in a value to be stored in a Kubernetes Secret.
$Env:AWS_B64ENCODED_CREDENTIALS=$(clusterawsadm bootstrap credentials encode-as-profile)

# Finally, initialize the management cluster
clusterctl init --infrastructure aws

See the AWS provider prerequisites document for more details.

For more information about authorization, AAD, or requirements for Azure, visit the Azure provider prerequisites document.

export AZURE_SUBSCRIPTION_ID="<SubscriptionId>"

# Create an Azure Service Principal and paste the output here
export AZURE_TENANT_ID="<Tenant>"
export AZURE_CLIENT_ID="<AppId>"
export AZURE_CLIENT_SECRET="<Password>"

# Base64 encode the variables
export AZURE_SUBSCRIPTION_ID_B64="$(echo -n "$AZURE_SUBSCRIPTION_ID" | base64 | tr -d '\n')"
export AZURE_TENANT_ID_B64="$(echo -n "$AZURE_TENANT_ID" | base64 | tr -d '\n')"
export AZURE_CLIENT_ID_B64="$(echo -n "$AZURE_CLIENT_ID" | base64 | tr -d '\n')"
export AZURE_CLIENT_SECRET_B64="$(echo -n "$AZURE_CLIENT_SECRET" | base64 | tr -d '\n')"

# Settings needed for AzureClusterIdentity used by the AzureCluster
export AZURE_CLUSTER_IDENTITY_SECRET_NAME="cluster-identity-secret"
export CLUSTER_IDENTITY_NAME="cluster-identity"
export AZURE_CLUSTER_IDENTITY_SECRET_NAMESPACE="default"

# Create a secret to include the password of the Service Principal identity created in Azure
# This secret will be referenced by the AzureClusterIdentity used by the AzureCluster
kubectl create secret generic "${AZURE_CLUSTER_IDENTITY_SECRET_NAME}" --from-literal=clientSecret="${AZURE_CLIENT_SECRET}" --namespace "${AZURE_CLUSTER_IDENTITY_SECRET_NAMESPACE}"

# Finally, initialize the management cluster
clusterctl init --infrastructure azure

Create a file named cloud-config in the repo’s root directory, substituting in your own environment’s values

[Global]
api-url = <cloudstackApiUrl>
api-key = <cloudstackApiKey>
secret-key = <cloudstackSecretKey>

Create the base64 encoded credentials by catting your credentials file. This command uses your environment variables and encodes them in a value to be stored in a Kubernetes Secret.

export CLOUDSTACK_B64ENCODED_SECRET=`cat cloud-config | base64 | tr -d '\n'`

Finally, initialize the management cluster

clusterctl init --infrastructure cloudstack

export DIGITALOCEAN_ACCESS_TOKEN=<your-access-token>
export DO_B64ENCODED_CREDENTIALS="$(echo -n "${DIGITALOCEAN_ACCESS_TOKEN}" | base64 | tr -d '\n')"

# Initialize the management cluster
clusterctl init --infrastructure digitalocean

The Docker provider requires the ClusterTopology and MachinePool features to deploy ClusterClass-based clusters. We are only supporting ClusterClass-based cluster-templates in this quickstart as ClusterClass makes it possible to adapt configuration based on Kubernetes version. This is required to install Kubernetes clusters < v1.24 and for the upgrade from v1.23 to v1.24 as we have to use different cgroupDrivers depending on Kubernetes version.

# Enable the experimental Cluster topology feature.
export CLUSTER_TOPOLOGY=true

# Enable the experimental Machine Pool feature
export EXP_MACHINE_POOL=true

# Initialize the management cluster
clusterctl init --infrastructure docker

In order to initialize the Equinix Metal Provider (formerly Packet) you have to expose the environment variable PACKET_API_KEY. This variable is used to authorize the infrastructure provider manager against the Equinix Metal API. You can retrieve your token directly from the Equinix Metal Console.

export PACKET_API_KEY="34ts3g4s5g45gd45dhdh"

clusterctl init --infrastructure packet

# Create the base64 encoded credentials by catting your credentials json.
# This command uses your environment variables and encodes
# them in a value to be stored in a Kubernetes Secret.
export GCP_B64ENCODED_CREDENTIALS=$( cat /path/to/gcp-credentials.json | base64 | tr -d '\n' )

# Finally, initialize the management cluster
clusterctl init --infrastructure gcp

Please visit the Hetzner project.

Please visit the Hivelocity project.

In order to initialize the IBM Cloud Provider you have to expose the environment variable IBMCLOUD_API_KEY. This variable is used to authorize the infrastructure provider manager against the IBM Cloud API. To create one from the UI, refer here.

export IBMCLOUD_API_KEY=<you_api_key>

# Finally, initialize the management cluster
clusterctl init --infrastructure ibmcloud

# Initialize the management cluster
clusterctl init --infrastructure k0sproject-k0smotron

# Initialize the management cluster
clusterctl init --infrastructure kubekey

Please visit the KubeVirt project for more information.

As described above, we want to use a LoadBalancer service in order to expose the workload cluster’s API server. In the example below, we will use MetalLB solution to implement load balancing to our kind cluster. Other solution should work as well.

Install MetalLB for load balancing

Install MetalLB, as described here; for example:

METALLB_VER=$(curl "https://api.github.com/repos/metallb/metallb/releases/latest" | jq -r ".tag_name")
kubectl apply -f "https://raw.githubusercontent.com/metallb/metallb/${METALLB_VER}/config/manifests/metallb-native.yaml"
kubectl wait pods -n metallb-system -l app=metallb,component=controller --for=condition=Ready --timeout=10m
kubectl wait pods -n metallb-system -l app=metallb,component=speaker --for=condition=Ready --timeout=2m

Now, we’ll create the IPAddressPool and the L2Advertisement custom resources. The script below creates the CRs with the right addresses, that match to the kind cluster addresses:

GW_IP=$(docker network inspect -f '{{range .IPAM.Config}}{{.Gateway}}{{end}}' kind)
NET_IP=$(echo ${GW_IP} | sed -E 's|^([0-9]+\.[0-9]+)\..*$|\1|g')
cat <<EOF | sed -E "s|172.19|${NET_IP}|g" | kubectl apply -f -
apiVersion: metallb.io/v1beta1
kind: IPAddressPool
metadata:
  name: capi-ip-pool
  namespace: metallb-system
spec:
  addresses:
  - 172.19.255.200-172.19.255.250
---
apiVersion: metallb.io/v1beta1
kind: L2Advertisement
metadata:
  name: empty
  namespace: metallb-system
EOF

Install KubeVirt on the kind cluster

# get KubeVirt version
KV_VER=$(curl "https://api.github.com/repos/kubevirt/kubevirt/releases/latest" | jq -r ".tag_name")
# deploy required CRDs
kubectl apply -f "https://github.com/kubevirt/kubevirt/releases/download/${KV_VER}/kubevirt-operator.yaml"
# deploy the KubeVirt custom resource
kubectl apply -f "https://github.com/kubevirt/kubevirt/releases/download/${KV_VER}/kubevirt-cr.yaml"
kubectl wait -n kubevirt kv kubevirt --for=condition=Available --timeout=10m

Initialize the management cluster with the KubeVirt Provider

clusterctl init --infrastructure kubevirt

Please visit the Metal3 project.

Please follow the Cluster API Provider for Nutanix Getting Started Guide

Please follow the Cluster API Provider for Oracle Cloud Infrastructure (OCI) Getting Started Guide

# Initialize the management cluster
clusterctl init --infrastructure openstack

export OSC_SECRET_KEY=<your-secret-key>
export OSC_ACCESS_KEY=<your-access-key>
export OSC_REGION=<you-region>
# Create namespace
kubectl create namespace cluster-api-provider-outscale-system
# Create secret
kubectl create secret generic cluster-api-provider-outscale --from-literal=access_key=${OSC_ACCESS_KEY} --from-literal=secret_key=${OSC_SECRET_KEY} --from-literal=region=${OSC_REGION}  -n cluster-api-provider-outscale-system
# Initialize the management cluster
clusterctl init --infrastructure outscale

First, we need to add the IPAM provider to your clusterctl config file ($XDG_CONFIG_HOME/cluster-api/clusterctl.yaml):

providers:
  - name: in-cluster
    url: https://github.com/kubernetes-sigs/cluster-api-ipam-provider-in-cluster/releases/latest/ipam-components.yaml
    type: IPAMProvider

# The host for the Proxmox cluster
export PROXMOX_URL="https://pve.example:8006"
# The Proxmox token ID to access the remote Proxmox endpoint
export PROXMOX_TOKEN='root@pam!capi'
# The secret associated with the token ID
# You may want to set this in `$XDG_CONFIG_HOME/cluster-api/clusterctl.yaml` so your password is not in
# bash history
export PROXMOX_SECRET="1234-1234-1234-1234"


# Finally, initialize the management cluster
clusterctl init --infrastructure proxmox --ipam in-cluster

For more information about the CAPI provider for Proxmox, see the Proxmox project.

Please follow the Cluster API Provider for Cloud Director Getting Started Guide

EXP_CLUSTER_RESOURCE_SET: “true”

# Initialize the management cluster
clusterctl init --infrastructure vcd

clusterctl init --infrastructure vcluster

Please follow the Cluster API Provider for vcluster Quick Start Guide

# Initialize the management cluster
clusterctl init --infrastructure virtink

# The username used to access the remote vSphere endpoint
export VSPHERE_USERNAME="vi-admin@vsphere.local"
# The password used to access the remote vSphere endpoint
# You may want to set this in `$XDG_CONFIG_HOME/cluster-api/clusterctl.yaml` so your password is not in
# bash history
export VSPHERE_PASSWORD="admin!23"

# Finally, initialize the management cluster
clusterctl init --infrastructure vsphere

For more information about prerequisites, credentials management, or permissions for vSphere, see the vSphere project.

export AWS_REGION=us-east-1
export AWS_SSH_KEY_NAME=default
# Select instance types
export AWS_CONTROL_PLANE_MACHINE_TYPE=t3.large
export AWS_NODE_MACHINE_TYPE=t3.large

See the AWS provider prerequisites document for more details.

# Name of the Azure datacenter location. Change this value to your desired location.
export AZURE_LOCATION="centralus"

# Select VM types.
export AZURE_CONTROL_PLANE_MACHINE_TYPE="Standard_D2s_v3"
export AZURE_NODE_MACHINE_TYPE="Standard_D2s_v3"

# [Optional] Select resource group. The default value is ${CLUSTER_NAME}.
export AZURE_RESOURCE_GROUP="<ResourceGroupName>"

A Cluster API compatible image must be available in your CloudStack installation. For instructions on how to build a compatible image see image-builder (CloudStack)

Prebuilt images can be found here

To see all required CloudStack environment variables execute:

clusterctl generate cluster --infrastructure cloudstack --list-variables capi-quickstart

Apart from the script, the following CloudStack environment variables are required.

# Set this to the name of the zone in which to deploy the cluster
export CLOUDSTACK_ZONE_NAME=<zone name>
# The name of the network on which the VMs will reside
export CLOUDSTACK_NETWORK_NAME=<network name>
# The endpoint of the workload cluster
export CLUSTER_ENDPOINT_IP=<cluster endpoint address>
export CLUSTER_ENDPOINT_PORT=<cluster endpoint port>
# The service offering of the control plane nodes
export CLOUDSTACK_CONTROL_PLANE_MACHINE_OFFERING=<control plane service offering name>
# The service offering of the worker nodes
export CLOUDSTACK_WORKER_MACHINE_OFFERING=<worker node service offering name>
# The capi compatible template to use
export CLOUDSTACK_TEMPLATE_NAME=<template name>
# The ssh key to use to log into the nodes
export CLOUDSTACK_SSH_KEY_NAME=<ssh key name>

A full configuration reference can be found in configuration.md.

A ClusterAPI compatible image must be available in your DigitalOcean account. For instructions on how to build a compatible image see image-builder.

export DO_REGION=nyc1
export DO_SSH_KEY_FINGERPRINT=<your-ssh-key-fingerprint>
export DO_CONTROL_PLANE_MACHINE_TYPE=s-2vcpu-2gb
export DO_CONTROL_PLANE_MACHINE_IMAGE=<your-capi-image-id>
export DO_NODE_MACHINE_TYPE=s-2vcpu-2gb
export DO_NODE_MACHINE_IMAGE==<your-capi-image-id>

The Docker provider does not require additional configurations for cluster templates.

However, if you require special network settings you can set the following environment variables:

# The list of service CIDR, default ["10.128.0.0/12"]
export SERVICE_CIDR=["10.96.0.0/12"]

# The list of pod CIDR, default ["192.168.0.0/16"]
export POD_CIDR=["192.168.0.0/16"]

# The service domain, default "cluster.local"
export SERVICE_DOMAIN="k8s.test"

It is also possible but not recommended to disable the per-default enabled Pod Security Standard:

export POD_SECURITY_STANDARD_ENABLED="false"

There are several required variables you need to set to create a cluster. There are also a few optional tunables if you’d like to change the OS or CIDRs used.

# Required (made up examples shown)
# The project where your cluster will be placed to.
# You have to get one from the Equinix Metal Console if you don't have one already.
export PROJECT_ID="2b59569f-10d1-49a6-a000-c2fb95a959a1"
# This can help to take advantage of automated, interconnected bare metal across our global metros.
export METRO="da"
# What plan to use for your control plane nodes
export CONTROLPLANE_NODE_TYPE="m3.small.x86"
# What plan to use for your worker nodes
export WORKER_NODE_TYPE="m3.small.x86"
# The ssh key you would like to have access to the nodes
export SSH_KEY="ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIDvMgVEubPLztrvVKgNPnRe9sZSjAqaYj9nmCkgr4PdK username@computer"
export CLUSTER_NAME="my-cluster"

# Optional (defaults shown)
export NODE_OS="ubuntu_18_04"
export POD_CIDR="192.168.0.0/16"
export SERVICE_CIDR="172.26.0.0/16"
# Only relevant if using the kube-vip flavor
export KUBE_VIP_VERSION="v0.5.0"

# Name of the GCP datacenter location. Change this value to your desired location
export GCP_REGION="<GCP_REGION>"
export GCP_PROJECT="<GCP_PROJECT>"
# Make sure to use same Kubernetes version here as building the GCE image
export KUBERNETES_VERSION=1.23.3
# This is the image you built. See https://github.com/kubernetes-sigs/image-builder
export IMAGE_ID=projects/$GCP_PROJECT/global/images/<built image>
export GCP_CONTROL_PLANE_MACHINE_TYPE=n1-standard-2
export GCP_NODE_MACHINE_TYPE=n1-standard-2
export GCP_NETWORK_NAME=<GCP_NETWORK_NAME or default>
export CLUSTER_NAME="<CLUSTER_NAME>"

See the GCP provider for more information.

# Required environment variables for VPC
# VPC region
export IBMVPC_REGION=us-south
# VPC zone within the region
export IBMVPC_ZONE=us-south-1
# ID of the resource group in which the VPC will be created
export IBMVPC_RESOURCEGROUP=<your-resource-group-id>
# Name of the VPC
export IBMVPC_NAME=ibm-vpc-0
export IBMVPC_IMAGE_ID=<you-image-id>
# Profile for the virtual server instances
export IBMVPC_PROFILE=bx2-4x16
export IBMVPC_SSHKEY_ID=<your-sshkey-id>

# Required environment variables for PowerVS
export IBMPOWERVS_SSHKEY_NAME=<your-ssh-key>
# Internal and external IP of the network
export IBMPOWERVS_VIP=<internal-ip>
export IBMPOWERVS_VIP_EXTERNAL=<external-ip>
export IBMPOWERVS_VIP_CIDR=29
export IBMPOWERVS_IMAGE_NAME=<your-capi-image-name>
# ID of the PowerVS service instance
export IBMPOWERVS_SERVICE_INSTANCE_ID=<service-instance-id>
export IBMPOWERVS_NETWORK_NAME=<your-capi-network-name>

Please visit the IBM Cloud provider for more information.

Please visit the K0smotron provider for more information.

# Required environment variables
# The KKZONE is used to specify where to download the binaries. (e.g. "", "cn")
export KKZONE=""
# The ssh name of the all instance Linux user. (e.g. root, ubuntu)
export USER_NAME=<your-linux-user>
# The ssh password of the all instance Linux user.
export PASSWORD=<your-linux-user-password>
# The ssh IP address of the all instance. (e.g. "[{address: 192.168.100.3}, {address: 192.168.100.4}]")
export INSTANCES=<your-linux-ip-address>
# The cluster control plane VIP. (e.g. "192.168.100.100")
export CONTROL_PLANE_ENDPOINT_IP=<your-control-plane-virtual-ip>

Please visit the KubeKey provider for more information.

export CAPK_GUEST_K8S_VERSION="v1.23.10"
export CRI_PATH="/var/run/containerd/containerd.sock"
export NODE_VM_IMAGE_TEMPLATE="quay.io/capk/ubuntu-2004-container-disk:${CAPK_GUEST_K8S_VERSION}"

Please visit the KubeVirt project for more information.

Note: If you are running CAPM3 release prior to v0.5.0, make sure to export the following environment variables. However, you don’t need them to be exported if you use CAPM3 release v0.5.0 or higher.

# The URL of the kernel to deploy.
export DEPLOY_KERNEL_URL="http://172.22.0.1:6180/images/ironic-python-agent.kernel"
# The URL of the ramdisk to deploy.
export DEPLOY_RAMDISK_URL="http://172.22.0.1:6180/images/ironic-python-agent.initramfs"
# The URL of the Ironic endpoint.
export IRONIC_URL="http://172.22.0.1:6385/v1/"
# The URL of the Ironic inspector endpoint.
export IRONIC_INSPECTOR_URL="http://172.22.0.1:5050/v1/"
# Do not use a dedicated CA certificate for Ironic API. Any value provided in this variable disables additional CA certificate validation.
# To provide a CA certificate, leave this variable unset. If unset, then IRONIC_CA_CERT_B64 must be set.
export IRONIC_NO_CA_CERT=true
# Disables basic authentication for Ironic API. Any value provided in this variable disables authentication.
# To enable authentication, leave this variable unset. If unset, then IRONIC_USERNAME and IRONIC_PASSWORD must be set.
export IRONIC_NO_BASIC_AUTH=true
# Disables basic authentication for Ironic inspector API. Any value provided in this variable disables authentication.
# To enable authentication, leave this variable unset. If unset, then IRONIC_INSPECTOR_USERNAME and IRONIC_INSPECTOR_PASSWORD must be set.
export IRONIC_INSPECTOR_NO_BASIC_AUTH=true

Please visit the Metal3 getting started guide for more details.

A ClusterAPI compatible image must be available in your Nutanix image library. For instructions on how to build a compatible image see image-builder.

To see all required Nutanix environment variables execute:

clusterctl generate cluster --infrastructure nutanix --list-variables capi-quickstart

A ClusterAPI compatible image must be available in your OpenStack. For instructions on how to build a compatible image see image-builder. Depending on your OpenStack and underlying hypervisor the following options might be of interest:

• image-builder (OpenStack)
• image-builder (vSphere)

To see all required OpenStack environment variables execute:

clusterctl generate cluster --infrastructure openstack --list-variables capi-quickstart

The following script can be used to export some of them:

wget https://raw.githubusercontent.com/kubernetes-sigs/cluster-api-provider-openstack/master/templates/env.rc -O /tmp/env.rc
source /tmp/env.rc <path/to/clouds.yaml> <cloud>

Apart from the script, the following OpenStack environment variables are required.

# The list of nameservers for OpenStack Subnet being created.
# Set this value when you need create a new network/subnet while the access through DNS is required.
export OPENSTACK_DNS_NAMESERVERS=<dns nameserver>
# FailureDomain is the failure domain the machine will be created in.
export OPENSTACK_FAILURE_DOMAIN=<availability zone name>
# The flavor reference for the flavor for your server instance.
export OPENSTACK_CONTROL_PLANE_MACHINE_FLAVOR=<flavor>
# The flavor reference for the flavor for your server instance.
export OPENSTACK_NODE_MACHINE_FLAVOR=<flavor>
# The name of the image to use for your server instance. If the RootVolume is specified, this will be ignored and use rootVolume directly.
export OPENSTACK_IMAGE_NAME=<image name>
# The SSH key pair name
export OPENSTACK_SSH_KEY_NAME=<ssh key pair name>
# The external network
export OPENSTACK_EXTERNAL_NETWORK_ID=<external network ID>

A full configuration reference can be found in configuration.md.

A ClusterAPI compatible image must be available in your Outscale account. For instructions on how to build a compatible image see image-builder.

# The outscale root disk iops
export OSC_IOPS="<IOPS>"
# The outscale root disk size
export OSC_VOLUME_SIZE="<VOLUME_SIZE>"
# The outscale root disk volumeType
export OSC_VOLUME_TYPE="<VOLUME_TYPE>"
# The outscale key pair
export OSC_KEYPAIR_NAME="<KEYPAIR_NAME>"
# The outscale subregion name
export OSC_SUBREGION_NAME="<SUBREGION_NAME>"
# The outscale vm type
export OSC_VM_TYPE="<VM_TYPE>"
# The outscale image name
export OSC_IMAGE_NAME="<IMAGE_NAME>"

A ClusterAPI compatible image must be available in your Proxmox cluster. For instructions on how to build a compatible VM template see image-builder.

# The node that hosts the VM template to be used to provision VMs
export PROXMOX_SOURCENODE="pve"
# The template VM ID used for cloning VMs
export TEMPLATE_VMID=100
# The ssh authorized keys used to ssh to the machines.
export VM_SSH_KEYS="ssh-ed25519 ..., ssh-ed25519 ..."
# The IP address used for the control plane endpoint
export CONTROL_PLANE_ENDPOINT_IP=10.10.10.4
# The IP ranges for Cluster nodes
export NODE_IP_RANGES="[10.10.10.5-10.10.10.50, 10.10.10.55-10.10.10.70]"
# The gateway for the machines network-config.
export GATEWAY="10.10.10.1"
# Subnet Mask in CIDR notation for your node IP ranges
export IP_PREFIX=24
# The Proxmox network device for VMs
export BRIDGE="vmbr1"
# The dns nameservers for the machines network-config.
export DNS_SERVERS="[8.8.8.8,8.8.4.4]"
# The Proxmox nodes used for VM deployments
export ALLOWED_NODES="[pve1,pve2,pve3]"

For more information about prerequisites and advanced setups for Proxmox, see the Proxmox getting started guide.

A ClusterAPI compatible image must be available in your VCD catalog. For instructions on how to build and upload a compatible image see CAPVCD

To see all required VCD environment variables execute:

clusterctl generate cluster --infrastructure vcd --list-variables capi-quickstart

export CLUSTER_NAME=kind
export CLUSTER_NAMESPACE=vcluster
export KUBERNETES_VERSION=1.23.4
export HELM_VALUES="service:\n  type: NodePort"

Please see the vcluster installation instructions for more details.

To see all required Virtink environment variables execute:

clusterctl generate cluster --infrastructure virtink --list-variables capi-quickstart

See the Virtink provider document for more details.

It is required to use an official CAPV machine images for your vSphere VM templates. See uploading CAPV machine images for instructions on how to do this.

# The vCenter server IP or FQDN
export VSPHERE_SERVER="10.0.0.1"
# The vSphere datacenter to deploy the management cluster on
export VSPHERE_DATACENTER="SDDC-Datacenter"
# The vSphere datastore to deploy the management cluster on
export VSPHERE_DATASTORE="vsanDatastore"
# The VM network to deploy the management cluster on
export VSPHERE_NETWORK="VM Network"
# The vSphere resource pool for your VMs
export VSPHERE_RESOURCE_POOL="*/Resources"
# The VM folder for your VMs. Set to "" to use the root vSphere folder
export VSPHERE_FOLDER="vm"
# The VM template to use for your VMs
export VSPHERE_TEMPLATE="ubuntu-1804-kube-v1.17.3"
# The public ssh authorized key on all machines
export VSPHERE_SSH_AUTHORIZED_KEY="ssh-rsa AAAAB3N..."
# The certificate thumbprint for the vCenter server
export VSPHERE_TLS_THUMBPRINT="97:48:03:8D:78:A9..."
# The storage policy to be used (optional). Set to "" if not required
export VSPHERE_STORAGE_POLICY="policy-one"
# The IP address used for the control plane endpoint
export CONTROL_PLANE_ENDPOINT_IP="1.2.3.4"

For more information about prerequisites, credentials management, or permissions for vSphere, see the vSphere getting started guide.

clusterctl generate cluster capi-quickstart --flavor development \
  --kubernetes-version v1.29.2 \
  --control-plane-machine-count=3 \
  --worker-machine-count=3 \
  > capi-quickstart.yaml

export CLUSTER_NAME=kind
export CLUSTER_NAMESPACE=vcluster
export KUBERNETES_VERSION=1.28.0
export HELM_VALUES="service:\n  type: NodePort"

kubectl create namespace ${CLUSTER_NAMESPACE}
clusterctl generate cluster ${CLUSTER_NAME} \
    --infrastructure vcluster \
    --kubernetes-version ${KUBERNETES_VERSION} \
    --target-namespace ${CLUSTER_NAMESPACE} | kubectl apply -f -

As we described above, in this tutorial, we will use a LoadBalancer service in order to expose the API server of the workload cluster, so we want to use the load balancer (lb) template (rather than the default one). We’ll use the clusterctl’s --flavor flag for that:

clusterctl generate cluster capi-quickstart \
  --infrastructure="kubevirt" \
  --flavor lb \
  --kubernetes-version ${CAPK_GUEST_K8S_VERSION} \
  --control-plane-machine-count=1 \
  --worker-machine-count=1 \
  > capi-quickstart.yaml

clusterctl generate cluster capi-quickstart \
  --kubernetes-version v1.29.2 \
  --control-plane-machine-count=3 \
  --worker-machine-count=3 \
  > capi-quickstart.yaml

clusterctl get kubeconfig capi-quickstart > capi-quickstart.kubeconfig

kind get kubeconfig --name capi-quickstart > capi-quickstart.kubeconfig

Install the official cloud-provider-azure Helm chart on the workload cluster:

helm install --kubeconfig=./capi-quickstart.kubeconfig --repo https://raw.githubusercontent.com/kubernetes-sigs/cloud-provider-azure/master/helm/repo cloud-provider-azure --generate-name --set infra.clusterName=capi-quickstart --set cloudControllerManager.clusterCIDR="192.168.0.0/16"

For more information, see the CAPZ book.

Before deploying the OpenStack external cloud provider, configure the cloud.conf file for integration with your OpenStack environment:

cat > cloud.conf <<EOF
[Global]
auth-url=<your_auth_url>
application-credential-id=<your_credential_id>
application-credential-secret=<your_credential_secret>
region=<your_region>
domain-name=<your_domain_name>
EOF

For more detailed information on configuring the cloud.conf file, see the OpenStack Cloud Controller Manager documentation.

Next, create a Kubernetes secret using this configuration to securely store your cloud environment details. You can create this secret for example with:

kubectl -n kube-system create secret generic cloud-config --from-file=cloud.conf

Now, you are ready to deploy the external cloud provider!

kubectl apply -f https://raw.githubusercontent.com/kubernetes/cloud-provider-openstack/master/manifests/controller-manager/cloud-controller-manager-roles.yaml
kubectl apply -f https://raw.githubusercontent.com/kubernetes/cloud-provider-openstack/master/manifests/controller-manager/cloud-controller-manager-role-bindings.yaml
kubectl apply -f https://raw.githubusercontent.com/kubernetes/cloud-provider-openstack/master/manifests/controller-manager/openstack-cloud-controller-manager-ds.yaml

Alternatively, refer to the helm chart.

Install the official Calico Helm chart on the workload cluster:

helm repo add projectcalico https://docs.tigera.io/calico/charts --kubeconfig=./capi-quickstart.kubeconfig && \
helm install calico projectcalico/tigera-operator --kubeconfig=./capi-quickstart.kubeconfig -f https://raw.githubusercontent.com/kubernetes-sigs/cluster-api-provider-azure/main/templates/addons/calico/values.yaml --namespace tigera-operator --create-namespace

After a short while, our nodes should be running and in Ready state, let’s check the status using kubectl get nodes:

kubectl --kubeconfig=./capi-quickstart.kubeconfig get nodes

Calico not required for vcluster.

Before deploying the Calico CNI, make sure the VMs are running:

kubectl get vm

If our new VMs are running, we should see a response similar to this:

NAME                                  AGE    STATUS    READY
capi-quickstart-control-plane-7s945   167m   Running   True
capi-quickstart-md-0-zht5j            164m   Running   True

We can also read the virtual machine instances:

kubectl get vmi

The output will be similar to:

NAME                                  AGE    PHASE     IP             NODENAME             READY
capi-quickstart-control-plane-7s945   167m   Running   10.244.82.16   kind-control-plane   True
capi-quickstart-md-0-zht5j            164m   Running   10.244.82.17   kind-control-plane   True

Since our workload cluster is running within the kind cluster, we need to prevent conflicts between the kind (management) cluster’s CNI, and the workload cluster CNI. The following modifications in the default Calico settings are enough for these two CNI to work on (actually) the same environment.

• Change the CIDR to a non-conflicting range
• Change the value of the CLUSTER_TYPE environment variable to k8s
• Change the value of the CALICO_IPV4POOL_IPIP environment variable to Never
• Change the value of the CALICO_IPV4POOL_VXLAN environment variable to Always
• Add the FELIX_VXLANPORT environment variable with the value of a non-conflicting port, e.g. "6789".

The following script downloads the Calico manifest and modifies the required field. The CIDR and the port values are examples.

curl https://raw.githubusercontent.com/projectcalico/calico/v3.24.4/manifests/calico.yaml -o calico-workload.yaml

sed -i -E 's|^( +)# (- name: CALICO_IPV4POOL_CIDR)$|\1\2|g;'\
's|^( +)# (  value: )"192.168.0.0/16"|\1\2"10.243.0.0/16"|g;'\
'/- name: CLUSTER_TYPE/{ n; s/( +value: ").+/\1k8s"/g };'\
'/- name: CALICO_IPV4POOL_IPIP/{ n; s/value: "Always"/value: "Never"/ };'\
'/- name: CALICO_IPV4POOL_VXLAN/{ n; s/value: "Never"/value: "Always"/};'\
'/# Set Felix endpoint to host default action to ACCEPT./a\            - name: FELIX_VXLANPORT\n              value: "6789"' \
calico-workload.yaml

Now, deploy the Calico CNI on the workload cluster:

kubectl --kubeconfig=./capi-quickstart.kubeconfig create -f calico-workload.yaml

After a short while, our nodes should be running and in Ready state, let’s check the status using kubectl get nodes:

kubectl --kubeconfig=./capi-quickstart.kubeconfig get nodes

kubectl --kubeconfig=./capi-quickstart.kubeconfig \
  apply -f https://raw.githubusercontent.com/projectcalico/calico/v3.26.1/manifests/calico.yaml

After a short while, our nodes should be running and in Ready state, let’s check the status using kubectl get nodes:

kubectl --kubeconfig=./capi-quickstart.kubeconfig get nodes

NAME                                          STATUS   ROLES           AGE    VERSION
capi-quickstart-vs89t-gmbld                   Ready    control-plane   5m33s  v1.29.2
capi-quickstart-vs89t-kf9l5                   Ready    control-plane   6m20s  v1.29.2
capi-quickstart-vs89t-t8cfn                   Ready    control-plane   7m10s  v1.29.2
capi-quickstart-md-0-55x6t-5649968bd7-8tq9v   Ready    <none>          6m5s   v1.29.2
capi-quickstart-md-0-55x6t-5649968bd7-glnjd   Ready    <none>          6m9s   v1.29.2
capi-quickstart-md-0-55x6t-5649968bd7-sfzp6   Ready    <none>          6m9s   v1.29.2