This Ansible role will deploy RKE2 Kubernetes Cluster. RKE2 will be installed using the tarball method.
The Role can install the RKE2 in 3 modes:
-
RKE2 single node
-
RKE2 Cluster with one Server(Master) node and one or more Agent(Worker) nodes
-
RKE2 Cluster with Server(Master) in High Availability mode and zero or more Agent(Worker) nodes. In HA mode you should have an odd number (three recommended) of server(master) nodes that will run etcd, the Kubernetes API (Keepalived VIP or Kube-VIP address), and other control plane services.
- Additionally it is possible to install the RKE2 Cluster (all 3 modes) in Air-Gapped functionality with the use of local artifacts.
It is possible to upgrade RKE2 by changing
rke2_version
variable and re-running the playbook with this role. During the upgrade process the RKE2 service on the nodes will be restarted one by one. The Ansible Role will check if the node on which the service was restarted is in Ready state and only then proceed with restarting service on another Kubernetes node.
- Ansible 2.10+
- Rocky Linux 8
- Ubuntu 20.04 LTS
- Ubuntu 22.04 LTS
This is a copy of defaults/main.yml
---
# The node type - server or agent
rke2_type: server
# Deploy the control plane in HA mode
rke2_ha_mode: false
# Install and configure Keepalived on Server nodes
# Can be disabled if you are using pre-configured Load Balancer
rke2_ha_mode_keepalived: true
# Install and configure kube-vip LB and VIP for cluster
# rke2_ha_mode_keepalived needs to be false
rke2_ha_mode_kubevip: false
# Kubernetes API and RKE2 registration IP address. The default Address is the IPv4 of the Server/Master node.
# In HA mode choose a static IP which will be set as VIP in keepalived.
# Or if the keepalived is disabled, use IP address of your LB.
rke2_api_ip: "{{ hostvars[groups[rke2_servers_group_name].0]['ansible_default_ipv4']['address'] }}"
# optional option for RKE2 Server to listen on a private IP address on port 9345
# rke2_api_private_ip:
# optional option for kubevip IP subnet
# rke2_api_cidr: 24
# optional option for kubevip
# rke2_interface: eth0
# optional option for IPv4/IPv6 addresses to advertise for node
# rke2_bind_address: "{{ hostvars[inventory_hostname]['ansible_' + rke2_interface]['ipv4']['address'] }}"
# kubevip load balancer IP range
rke2_loadbalancer_ip_range: {}
# range-global: 192.168.1.50-192.168.1.100
# cidr-finance: 192.168.0.220/29,192.168.0.230/29
# Install kubevip cloud provider if rke2_ha_mode_kubevip is true
rke2_kubevip_cloud_provider_enable: true
# Enable kube-vip to watch Services of type LoadBalancer
rke2_kubevip_svc_enable: true
# Specify which image is used for kube-vip container
rke2_kubevip_image: ghcr.io/kube-vip/kube-vip:v0.6.4
# Specify which image is used for kube-vip cloud provider container
rke2_kubevip_cloud_provider_image: ghcr.io/kube-vip/kube-vip-cloud-provider:v0.0.4
# Enable kube-vip IPVS load balancer for control plane
rke2_kubevip_ipvs_lb_enable: false
# Enable layer 4 load balancing for control plane using IPVS kernel module
# Must use kube-vip version 0.4.0 or later
rke2_kubevip_service_election_enable: false
# By default ARP mode provides a HA implementation of a VIP (your service IP address) which will receive traffic on the kube-vip leader.
# To circumvent this kube-vip has implemented a new function which is "leader election per service",
# instead of one node becoming the leader for all services an election is held across all kube-vip instances and the leader from that election becomes the holder of that service. Ultimately,
# this means that every service can end up on a different node when it is created in theory preventing a bottleneck in the initial deployment.
# minimum kube-vip version 0.5.0
# (Optional) A list of kube-vip flags
# All flags can be found here https://kube-vip.io/docs/installation/flags/
# rke2_kubevip_args: []
# - param: lb_enable
# value: true
# - param: lb_port
# value: 6443
# Prometheus metrics port for kube-vip
rke2_kubevip_metrics_port: 2112
# Add additional SANs in k8s API TLS cert
rke2_additional_sans: []
# API Server destination port
rke2_apiserver_dest_port: 6443
# Server nodes taints
rke2_server_node_taints: []
# - 'CriticalAddonsOnly=true:NoExecute'
# Agent nodes taints
rke2_agent_node_taints: []
# Pre-shared secret token that other server or agent nodes will register with when connecting to the cluster
rke2_token: defaultSecret12345
# RKE2 version
rke2_version: v1.25.3+rke2r1
# URL to RKE2 repository
rke2_channel_url: https://update.rke2.io/v1-release/channels
# URL to RKE2 install bash script
# e.g. rancher chinase mirror http://rancher-mirror.rancher.cn/rke2/install.sh
rke2_install_bash_url: https://get.rke2.io
# Local data directory for RKE2
rke2_data_path: /var/lib/rancher/rke2
# Default URL to fetch artifacts
rke2_artifact_url: https://github.com/rancher/rke2/releases/download/
# Local path to store artifacts
rke2_artifact_path: /rke2/artifact
# Airgap required artifacts
rke2_artifact:
- sha256sum-{{ rke2_architecture }}.txt
- rke2.linux-{{ rke2_architecture }}.tar.gz
- rke2-images.linux-{{ rke2_architecture }}.tar.zst
# Changes the deploy strategy to install based on local artifacts
rke2_airgap_mode: false
# Airgap implementation type - download, copy or exists
# - 'download' will fetch the artifacts on each node,
# - 'copy' will transfer local files in 'rke2_artifact' to the nodes,
# - 'exists' assumes 'rke2_artifact' files are already stored in 'rke2_artifact_path'
rke2_airgap_implementation: download
# Local source path where artifacts are stored
rke2_airgap_copy_sourcepath: local_artifacts
# Tarball images for additional components to be copied from rke2_airgap_copy_sourcepath to the nodes
# (File extensions in the list and on the real files must be retained)
rke2_airgap_copy_additional_tarballs: []
# Destination for airgap additional images tarballs ( see https://docs.rke2.io/install/airgap/#tarball-method )
rke2_tarball_images_path: "{{ rke2_data_path }}/agent/images"
# Architecture to be downloaded, currently there are releases for amd64 and s390x
rke2_architecture: amd64
# Destination directory for RKE2 installation script
rke2_install_script_dir: /var/tmp
# RKE2 channel
rke2_channel: stable
# Do not deploy packaged components and delete any deployed components
# Valid items: rke2-canal, rke2-coredns, rke2-ingress-nginx, rke2-metrics-server
rke2_disable:
# Option to disable kube-proxy
disable_kube_proxy: false
# Path to custom manifests deployed during the RKE2 installation
# It is possible to use Jinja2 templating in the manifests
rke2_custom_manifests:
# Path to static pods deployed during the RKE2 installation
rke2_static_pods:
# Configure custom Containerd Registry
rke2_custom_registry_mirrors: []
# - name:
# endpoint: {}
# rewrite: '"^rancher/(.*)": "mirrorproject/rancher-images/$1"'
# Configure custom Containerd Registry additional configuration
rke2_custom_registry_configs: []
# - endpoint:
# config:
# Path to Container registry config file template
rke2_custom_registry_path: templates/registries.yaml.j2
# Path to RKE2 config file template
rke2_config: templates/config.yaml.j2
# Etcd snapshot source directory
rke2_etcd_snapshot_source_dir: etcd_snapshots
# Etcd snapshot file name.
# When the file name is defined, the etcd will be restored on initial deployment Ansible run.
# The etcd will be restored only during the initial run, so even if you will leave the the file name specified,
# the etcd will remain untouched during the next runs.
# You can either use this or set options in `rke2_etcd_snapshot_s3_options`
rke2_etcd_snapshot_file:
# Etcd snapshot location
rke2_etcd_snapshot_destination_dir: "{{ rke2_data_path }}/server/db/snapshots"
# Etcd snapshot s3 options
# Set either all these values or `rke2_etcd_snapshot_file` and `rke2_etcd_snapshot_source_dir`
# rke2_etcd_snapshot_s3_options:
# s3_endpoint: "" # required
# access_key: "" # required
# secret_key: "" # required
# bucket: "" # required
# snapshot_name: "" # required.
# skip_ssl_verify: false # optional
# endpoint_ca: "" # optional. Can skip if using defaults
# region: "" # optional - defaults to us-east-1
# folder: "" # optional - defaults to top level of bucket
# Override default containerd snapshotter
rke2_snapshooter: overlayfs
# Deploy RKE2 with default CNI canal
rke2_cni: canal
# Validate system configuration against the selected benchmark
# (Supported value is "cis-1.23" or eventually "cis-1.6" if you are running RKE2 prior 1.25)
rke2_cis_profile: ""
# Download Kubernetes config file to the Ansible controller
rke2_download_kubeconf: false
# Name of the Kubernetes config file will be downloaded to the Ansible controller
rke2_download_kubeconf_file_name: rke2.yaml
# Destination directory where the Kubernetes config file will be downloaded to the Ansible controller
rke2_download_kubeconf_path: /tmp
# Default Ansible Inventory Group name for RKE2 cluster
rke2_cluster_group_name: k8s_cluster
# Default Ansible Inventory Group name for RKE2 Servers
rke2_servers_group_name: masters
# Default Ansible Inventory Group name for RKE2 Agents
rke2_agents_group_name: workers
# (Optional) A list of Kubernetes API server flags
# All flags can be found here https://kubernetes.io/docs/reference/command-line-tools-reference/kube-apiserver
# rke2_kube_apiserver_args: []
# (Optional) List of Node labels
# k8s_node_label: []
# (Optional) Additional RKE2 server configuration options
# You could find the flags at https://docs.rke2.io/reference/server_config
# rke2_server_options:
# - "option: value"
# - "node-ip: {{ rke2_bind_address }}" # ex: (agent/networking) IPv4/IPv6 addresses to advertise for node
# (Optional) Additional RKE2 agent configuration options
# You could find the flags at https://docs.rke2.io/reference/linux_agent_config
# rke2_agent_options:
# - "option: value"
# - "node-ip: {{ rke2_bind_address }}" # ex: (agent/networking) IPv4/IPv6 addresses to advertise for node
# (Optional) Configure Proxy
# All flags can be found here https://docs.rke2.io/advanced#configuring-an-http-proxy
# rke2_environment_options: []
# - "option=value"
# - "HTTP_PROXY=http://your-proxy.example.com:8888"
# (Optional) Customize default kube-controller-manager arguments
# This functionality allows appending the argument if it is not present by default or replacing it if it already exists.
# rke2_kube_controller_manager_arg:
# - "bind-address=0.0.0.0"
# (Optional) Customize default kube-scheduler arguments
# This functionality allows appending the argument if it is not present by default or replacing it if it already exists.
# rke2_kube_scheduler_arg:
# - "bind-address=0.0.0.0"
# Cordon, drain the node which is being upgraded. Uncordon the node once the RKE2 upgraded
rke2_drain_node_during_upgrade: false
# Wait for all pods to be ready after rke2-service restart during rolling restart.
rke2_wait_for_all_pods_to_be_ready: false
# Enable debug mode (rke2-service)
rke2_debug: false
# (Optional) Customize default kubelet arguments
# rke2_kubelet_arg:
# - "--system-reserved=cpu=100m,memory=100Mi"
This role relies on nodes distribution to masters
and workers
inventory groups.
The RKE2 Kubernetes master/server nodes must belong to masters
group and worker/agent nodes must be the members of workers
group. Both groups has to be the children of k8s_cluster
group.
[masters]
master-01 ansible_host=192.168.123.1 rke2_type=server
master-02 ansible_host=192.168.123.2 rke2_type=server
master-03 ansible_host=192.168.123.3 rke2_type=server
[workers]
worker-01 ansible_host=192.168.123.11 rke2_type=agent
worker-02 ansible_host=192.168.123.12 rke2_type=agent
worker-03 ansible_host=192.168.123.13 rke2_type=agent
[k8s_cluster:children]
masters
workers
This playbook will deploy RKE2 to a single node acting as both server and agent.
- name: Deploy RKE2
hosts: node
become: yes
roles:
- role: lablabs.rke2
This playbook will deploy RKE2 to a cluster with one server(master) and several agent(worker) nodes.
- name: Deploy RKE2
hosts: all
become: yes
roles:
- role: lablabs.rke2
This playbook will deploy RKE2 to a cluster with one server(master) and several agent(worker) nodes in air-gapped mode. It will use Multus and Calico as CNI.
- name: Deploy RKE2
hosts: all
become: yes
vars:
rke2_airgap_mode: true
rke2_airgap_implementation: download
rke2_cni:
- multus
- calico
rke2_artifact:
- sha256sum-{{ rke2_architecture }}.txt
- rke2.linux-{{ rke2_architecture }}.tar.gz
- rke2-images.linux-{{ rke2_architecture }}.tar.zst
rke2_airgap_copy_additional_tarballs:
- rke2-images-multus.linux-{{ rke2_architecture }}
- rke2-images-calico.linux-{{ rke2_architecture }}
roles:
- role: lablabs.rke2
This playbook will deploy RKE2 to a cluster with HA server(master) control-plane and several agent(worker) nodes. The server(master) nodes will be tainted so the workload will be distributed only on worker(agent) nodes. The role will install also keepalived on the control-plane nodes and setup VIP address where the Kubernetes API will be reachable. it will also download the Kubernetes config file to the local machine.
- name: Deploy RKE2
hosts: all
become: yes
vars:
rke2_ha_mode: true
rke2_api_ip : 192.168.123.100
rke2_download_kubeconf: true
rke2_server_node_taints:
- 'CriticalAddonsOnly=true:NoExecute'
roles:
- role: lablabs.rke2
As per server configuration documentation it is possible to define an agent token, which will be used by agent nodes to connect to cluster, giving them less access to cluster than server nodes have. Following modifications to above configuration would be necessary:
- remove
rke2_token
from global vars - add to
group_vars/masters.yml
:
rke2_token: defaultSecret12345
rke2_agent_token: agentSecret54321
- add to
group_vars/workers.yml
:
rke2_token: agentSecret54321
While changing server token is problematic, agent token can be rotated at will, as long as servers and agents have the same value and the services
(rke2-server
and rke2-agent
, as appropriate) have been restarted to make sure the processes use the new value.
If the playbook starts to hang at the Start RKE2 service on the rest of the nodes
task and then fails at the Wait for remaining nodes to be ready
task, you probably have some limitations on you nodes' network.
Please check the required Inbound Rules for RKE2 Server Nodes at the following link: https://docs.rke2.io/install/requirements/#networking.
MIT
Created in 2021 by Labyrinth Labs