rke2-aws-tf

rke2 is lightweight, easy to use, and has minimal dependencies. As such, there is a tremendous amount of flexibility for deployments that can be tailored to best suit you and your organization's needs.

This repository is inteded to clearly demonstrate one method of deploying rke2 in a highly available, resilient, scalable, and simple method on AWS. It is by no means the only supported solution for running rke2 on AWS.

We highly recommend you use the modules in this repository as stepping stones in solutions that meet the needs of your workflow and organization. If you have suggestions or areas of improvements, we would love to hear them!

Non-Backwards compatible changes

Changes have been introduced as of March 2023 that are not compatible with user-defined environments. Please make note of and test the following changes before deploying into your environments:

-rke2 user is no longer being installed by default for both servers and agents. -cloud-init runcmd scripts have been re-numbered as follows:

00_pre.sh
10_download.sh
20_rke2.sh
99_post.sh

If you are using additional cloud-init scripts, ensure that their numbering will run in the order you expect. -When setting the 'asg' variable, you now must also set the 'termination_policy' value.

Usage

This repository contains 2 terraform modules intended for user consumption:

# Provision rke2 server(s) and controlplane loadbalancer
module "rke2" {
  source  = "git::https://github.com/rancherfederal/rke2-aws-tf.git"
  name    = "quickstart"
  vpc_id  = "vpc-###"
  subnets = ["subnet-###"]
  ami     = "ami-###"
}

# Provision Auto Scaling Group of agents to auto-join cluster
module "rke2_agents" {
  source  = "git::https://github.com/rancherfederal/rke2-aws-tf.git//modules/agent-nodepool"
  name    = "generic"
  vpc_id  = "vpc-###"
  subnets = ["subnet-###"]
  ami     = "ami-###"

  # Required input sourced from parent rke2 module, contains configuration that agents use to join existing cluster
  cluster_data = module.rke2.cluster_data
}

For more complete options, fully functioning examples are provided in the examples/ folder to meet the various use cases of rke2 clusters on AWS, ranging from:

examples/quickstart: bare minimum rke2 server/agent cluster, start here!
examples/cloud-enabled: aws cloud aware rke2 cluster

Overview

The deployment model of this repository is designed to feel very similar to the major cloud providers kubernetes distributions.

It revolves around provisioning the following:

Nodepools: Self-bootstrapping and auto-joining groups of EC2 instances
AWS NLB: Controlplane static address

This iac leverages the ease of use of rke2 to provide a simple sshless bootstrapping process for sets of cluster nodes, known as nodepools. Both the servers and agents within the cluster are simply one or more Auto Scaling Groups (ASG) with the necessary minimal userdata required for either creating or joining an rke2 cluster.

Upon ASG boot, every node will:

Install the rke2 self-extracting binary from https://get.rke2.io
Fetch the rke2 cluster token from a secure secrets store (s3)
Initialize or join an rke2 cluster

The most basic deployment involves a server nodepool. However, most deployments will see a server nodepool with one or more logical groups of agent nodepools. These are typically separated based of node labels, workload functions, instance types, or any physical/logical separation of nodes.

Terraform Modules

This repository contains 2 primary modules that users are expected to consume:

rke2:

The primary rke2 cluster component. Defining this is mandatory, and will provision a control plane load balancer (AWS NLB) and a server nodepool.

agent-nodepool

Optional (but recommended) cluster component to create agent nodepools that will auto-join the cluster created using the rke2 module. This is the primary method for defining nodes in which cluster workloads will run.

Secrets

Since it is bad practice to store sensitive information in userdata, s3 is used as a secure secrets store that is commonly available in all instantiations of AWS is used for storing and fetching the token. Provisioned nodes will fetch the token from the appropriate secrets store via the awscli before attempting to join a cluster.

IAM Policies

This module has a mininmum dependency on being able to fetch the cluster join token from an S3 bucket. By default, the bucket, token, roles, and minimum policies will be created for you. For restricted environments unable to create IAM Roles or Policies, you can specify an existing IAM Role that the instances will assume instead. Note that when going this route, you must be sure the IAM role specified has the minimum required policies to fetch the cluster token from S3. The required and optional policies are defined below:

Required Policies

Required policies are created by default, but are specified below if you are using a custom IAM role.

Get Token

Servers and agents need to be able to fetch the cluster join token

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": "s3:GetObject",
            "Resource": "arn:<aws-region>:s3:<aws-region>:<aws-account>:<bucket>:<object>"
        }
    ]
}

Note: The S3 bucket will be dynamically created during cluster creation, in order to pre create an iam policy that points to this bucket, the use of wildcards is recommended. For example: s3:::us-gov-west-1:${var.cluster_name}-*

Get Autoscaling Instances

Servers need to be able to query instances within their autoscaling group for "leader election".

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Resource": "*",
            "Action": [
              "autoscaling:DescribeAutoScalingGroups",
              "autoscaling:DescribeAutoScalingInstances"
            ]
        }
    ]
}

Optional Policies

Optional policies have the option of being created by default, but are specified below if you are using a custom IAM role.

Put kubeconfig: will upload the kubeconfig to the appropriate S3 bucket
- servers
AWS Cloud Enabled Cluster: will configure rke2 to self provision certain cloud resources, see here for more info
- servers
- agents
AWS Cluster Autoscaler: will configure rke2 to autoscale based off kubernetes resource requests
- agents

Requirements

Name	Version
terraform	>= 0.13

Providers

Name	Version
aws	n/a
random	n/a
cloudinit	n/a

Inputs

Name	Description	Type	Default	Required
ami	Server pool ami	`string`	n/a	yes
block_device_mappings	Server pool block device mapping configuration	`map(string)`	{ "encrypted": false, "size": 30 }	no
cluster_name	Name of the rkegov cluster to create	`string`	n/a	yes
controlplane_access_logs_bucket	Set to bucket name to log requests to load balancer	`string`	`"disabled"`	no
controlplane_allowed_cidrs	Server pool security group allowed cidr ranges	`list(string)`	[ "0.0.0.0/0" ]	no
controlplane_enable_cross_zone_load_balancing	Toggle between controlplane cross zone load balancing	`bool`	`true`	no
controlplane_internal	Toggle between public or private control plane load balancer	`bool`	`true`	no
download	Toggle best effort download of rke2 dependencies (rke2 and aws cli), if disabled, dependencies are assumed to exist in $PATH	`bool`	`true`	no
enable_ccm	Toggle enabling the cluster as aws aware, this will ensure the appropriate IAM policies are present	`bool`	`false`	no
extra_block_device_mappings	Additional server pool block device mappings configuration	`list(map(string))`	`[]`	no
iam_instance_profile	Server pool IAM Instance Profile, created if left blank (default behavior)	`string`	`""`	no
iam_permissions_boundary	If provided, the IAM role created for the servers will be created with this permissions boundary attached.	`string`	`null`	no
extra_security_group_ids	List of additional security group IDs	`list(string)`	`[]`	no
instance_type	Server pool instance type	`string`	`"t3a.medium"`	no
post_userdata	Custom userdata to run immediately after rke2 node attempts to join cluster	`string`	`""`	no
pre_userdata	Custom userdata to run immediately before rke2 node attempts to join cluster, after required rke2, dependencies are installed	`string`	`""`	no
rke2_config	Server pool additional configuration passed as rke2 config file, see https://docs.rke2.io/install/install_options/server_config for full list of options	`string`	`""`	no
rke2_version	Version to use for RKE2 server nodes	`string`	`"v1.18.12+rke2r2"`	no
servers	Number of servers to create	`number`	`1`	no
spot	Toggle spot requests for server pool	`bool`	`false`	no
ssh_authorized_keys	Server pool list of public keys to add as authorized ssh keys	`list(string)`	`[]`	no
subnets	List of subnet IDs to create resources in	`list(string)`	n/a	yes
tags	Map of tags to add to all resources created	`map(string)`	`{}`	no
unique_suffix	Enables/disables generation of a unique suffix to cluster name	`bool`	`true`	yes
vpc_id	VPC ID to create resources in	`string`	n/a	yes
wait_for_capacity_timeout	How long Terraform should wait for ASG instances to be healthy before timing out.	`string`	`"10m"`	no
metadata_options	Instance Metadata Options	`map`	{ http_endpoint: "enabled", http_tokens: "required", http_put_response_hop_limit: 1, instance_metadata_tags: "disabled"}	no
ccm_external	Set kubelet arg 'cloud-provider-name' value to 'external'. Requires manual install of CCM.	`bool`	`false`	no
rke2_start	Start/Stop value for the rke2-server/agent service. True=start, False= don't start.	`bool`	`true`	no
rke2_install_script_url	URL for RKE2 install script	`string`	`"https://get.rke2.io"`	no
awscli_url	URL for awscli zip file	`string`	`"https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip"`	no
unzip_rpm_url	URL path to unzip rpm	`string`	`""`	no
termination_policies	List of policies to decide how the instances in the Auto Scaling Group should be terminated	`list(string)`	`["Default"]`	no
statestore_attach_deny_insecure_transport_policy	Toggle for enabling s3 policy to reject non-SSL requests	`bool`	`true`	yes

Outputs

Name	Description
cluster_data	Map of cluster data required by agent pools for joining cluster, do not modify this
cluster_name	Name of the rke2 cluster
cluster_sg	Security group shared by cluster nodes, this is different than nodepool security groups
iam_instance_profile	IAM instance profile attached to server nodes
iam_role	IAM role of server nodes
iam_role_arn	IAM role arn of server nodes
kubeconfig_path	n/a
server_nodepool_arn	n/a
server_nodepool_id	n/a
server_nodepool_name	n/a
server_sg	n/a
server_url	n/a

Name		Name	Last commit message	Last commit date
Latest commit History 171 Commits
.github/workflows		.github/workflows
examples		examples
modules		modules
.gitignore		.gitignore
CODEOWNERS		CODEOWNERS
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
data.tf		data.tf
main.tf		main.tf
outputs.tf		outputs.tf
variables.tf		variables.tf
versions.tf		versions.tf

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rke2-aws-tf

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