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Karpenter on EKS MNG

This pattern demonstrates how to provision Karpenter on an EKS managed node group. Deploying onto standard EC2 instances created by an EKS managed node group will allow for daemonsets to run on the nodes created for the Karpenter controller, and therefore better unification of tooling across your data plane. This solution is comprised of the following components:

  1. An EKS managed node group that applies both a taint as well as a label for the Karpenter controller. We want the Karpenter controller to target these nodes via a nodeSelector in order to avoid the controller pods from running on nodes that Karpenter itself creates and manages. In addition, we are applying a taint to keep other pods off of these nodes as they are primarily intended for the controller pods. We apply a toleration to the CoreDNS addon, to allow those pods to run on the controller nodes as well. This is needed so that when a cluster is created, the CoreDNS pods have a place to run in order for the Karpenter controller to be provisioned and start managing the additional compute requirements for the cluster. Without letting CoreDNS run on these nodes, the controllers would fail to deploy and the data plane would be in a "deadlock" waiting for resources to deploy but unable to do so.
  2. The eks-pod-identity-agent addon has been provisioned to allow the Karpenter controller to utilize EKS Pod Identity for AWS permissions via an IAM role.
  3. The VPC subnets and node security group have been tagged with "karpenter.sh/discovery" = local.name for discoverability by the controller. The controller will discover these resources and use them to provision EC2 resources for the cluster.
  4. An IAM role for the Karpenter controller has been created with a trust policy that trusts the EKS Pod Identity service principal. This allows the EKS Pod Identity service to provide AWS credentials to the Karpenter controller pods in order to call AWS APIs.
  5. An IAM role for the nodes that Karpenter will create has been created along with a cluster access entry which allows the nodes to acquire permissions to join the cluster. Karpenter will create and manage the instance profile that utilizes this IAM role.
  6. An SQS queue has been created that is subscribed to certain EC2 CloudWatch events. This queue is used by Karpenter, allowing it to respond to certain EC2 lifecycle events and gracefully migrate pods off the instance before it is terminated.

Code

The areas of significance related to this pattern are highlighted in the code provided below:

################################################################################
# Cluster
################################################################################

module "eks" {
  source  = "terraform-aws-modules/eks/aws"
  version = "~> 20.10"

  cluster_name    = local.name
  cluster_version = "1.29"

  # Give the Terraform identity admin access to the cluster
  # which will allow it to deploy resources into the cluster
  enable_cluster_creator_admin_permissions = true
  cluster_endpoint_public_access           = true

  cluster_addons = {
    coredns = {
      configuration_values = jsonencode({
        tolerations = [
          # Allow CoreDNS to run on the same nodes as the Karpenter controller
          # for use during cluster creation when Karpenter nodes do not yet exist
          {
            key    = "karpenter.sh/controller"
            value  = "true"
            effect = "NoSchedule"
          }
        ]
      })
    }
    eks-pod-identity-agent = {}
    kube-proxy             = {}
    vpc-cni                = {}
  }

  enable_efa_support = true

  vpc_id     = module.vpc.vpc_id
  subnet_ids = module.vpc.private_subnets

  eks_managed_node_groups = {
    karpenter = {
      instance_types = ["m5.large"]

      min_size     = 2
      max_size     = 3
      desired_size = 2

      labels = {
        # Used to ensure Karpenter runs on nodes that it does not manage
        "karpenter.sh/controller" = "true"
      }

      taints = {
        # The pods that do not tolerate this taint should run on nodes
        # created by Karpenter
        karpenter = {
          key    = "karpenter.sh/controller"
          value  = "true"
          effect = "NO_SCHEDULE"
        }
      }
    }
  }

  tags = merge(local.tags, {
    # NOTE - if creating multiple security groups with this module, only tag the
    # security group that Karpenter should utilize with the following tag
    # (i.e. - at most, only one security group should have this tag in your account)
    "karpenter.sh/discovery" = local.name
  })
}

output "configure_kubectl" {
  description = "Configure kubectl: make sure you're logged in with the correct AWS profile and run the following command to update your kubeconfig"
  value       = "aws eks --region ${local.region} update-kubeconfig --name ${module.eks.cluster_name}"
}

################################################################################
# Controller & Node IAM roles, SQS Queue, Eventbridge Rules
################################################################################

module "karpenter" {
  source  = "terraform-aws-modules/eks/aws//modules/karpenter"
  version = "~> 20.9"

  cluster_name = module.eks.cluster_name

  # Name needs to match role name passed to the EC2NodeClass
  node_iam_role_use_name_prefix   = false
  node_iam_role_name              = local.name
  create_pod_identity_association = true

  tags = local.tags
}

################################################################################
# Helm charts
################################################################################

resource "helm_release" "karpenter" {
  namespace           = "kube-system"
  name                = "karpenter"
  repository          = "oci://public.ecr.aws/karpenter"
  repository_username = data.aws_ecrpublic_authorization_token.token.user_name
  repository_password = data.aws_ecrpublic_authorization_token.token.password
  chart               = "karpenter"
  version             = "0.36.1"
  wait                = false

  values = [
    <<-EOT
    nodeSelector:
      karpenter.sh/controller: 'true'
    tolerations:
      - key: CriticalAddonsOnly
        operator: Exists
      - key: karpenter.sh/controller
        operator: Exists
        effect: NoSchedule
    settings:
      clusterName: ${module.eks.cluster_name}
      clusterEndpoint: ${module.eks.cluster_endpoint}
      interruptionQueue: ${module.karpenter.queue_name}
    EOT
  ]

  lifecycle {
    ignore_changes = [
      repository_password
    ]
  }
}

VPC

module "vpc" {
  source  = "terraform-aws-modules/vpc/aws"
  version = "~> 5.0"

  name = local.name
  cidr = local.vpc_cidr

  azs             = local.azs
  private_subnets = [for k, v in local.azs : cidrsubnet(local.vpc_cidr, 4, k)]
  public_subnets  = [for k, v in local.azs : cidrsubnet(local.vpc_cidr, 8, k + 48)]

  enable_nat_gateway = true
  single_nat_gateway = true

  public_subnet_tags = {
    "kubernetes.io/role/elb" = 1
  }

  private_subnet_tags = {
    "kubernetes.io/role/internal-elb" = 1
    # Tags subnets for Karpenter auto-discovery
    "karpenter.sh/discovery" = local.name
  }

  tags = local.tags
}

EC2NodeClass and NodePool

---
apiVersion: karpenter.k8s.aws/v1beta1
kind: EC2NodeClass
metadata:
  name: default
spec:
  amiFamily: AL2
  role: ex-karpenter-mng
  subnetSelectorTerms:
    - tags:
        karpenter.sh/discovery: ex-karpenter-mng
  securityGroupSelectorTerms:
    - tags:
        karpenter.sh/discovery: ex-karpenter-mng
  tags:
    karpenter.sh/discovery: ex-karpenter-mng
---
apiVersion: karpenter.sh/v1beta1
kind: NodePool
metadata:
  name: default
spec:
  template:
    spec:
      nodeClassRef:
        name: default
      requirements:
        - key: "karpenter.k8s.aws/instance-category"
          operator: In
          values: ["c", "m", "r"]
        - key: "karpenter.k8s.aws/instance-cpu"
          operator: In
          values: ["4", "8", "16", "32"]
        - key: "karpenter.k8s.aws/instance-hypervisor"
          operator: In
          values: ["nitro"]
        - key: "karpenter.k8s.aws/instance-generation"
          operator: Gt
          values: ["2"]
  limits:
    cpu: 1000
  disruption:
    consolidationPolicy: WhenEmpty
    consolidateAfter: 30s

Deploy

See here for the prerequisites and steps to deploy this pattern.

Validate

  1. Test by listing the nodes in the cluster. You should see four Fargate nodes in the cluster:

    kubectl get nodes
    
    NAME                                      STATUS   ROLES    AGE     VERSION
    ip-10-0-38-5.us-west-2.compute.internal   Ready    <none>   2m40s   v1.29.3-eks-ae9a62a
    ip-10-0-9-38.us-west-2.compute.internal   Ready    <none>   2m35s   v1.29.3-eks-ae9a62a
    
  2. Provision the Karpenter EC2NodeClass and NodePool resources which provide Karpenter the necessary configurations to provision EC2 resources:

    kubectl apply -f karpenter.yaml
    
  3. Once the Karpenter resources are in place, Karpenter will provision the necessary EC2 resources to satisfy any pending pods in the scheduler's queue. You can demonstrate this with the example deployment provided. First deploy the example deployment which has the initial number replicas set to 0:

    kubectl apply -f example.yaml
    
  4. When you scale the example deployment, you should see Karpenter respond by quickly provisioning EC2 resources to satisfy those pending pod requests:

    kubectl scale deployment inflate --replicas=3
    
  5. Listing the nodes should now show some EC2 compute that Karpenter has created for the example deployment:

    kubectl get nodes
    
    NAME                                        STATUS   ROLES    AGE     VERSION
    ip-10-0-38-109.us-west-2.compute.internal   Ready    <none>   11s     v1.29.3-eks-ae9a62a # <== EC2 created by Karpenter
    ip-10-0-38-5.us-west-2.compute.internal     Ready    <none>   3m54s   v1.29.3-eks-ae9a62a
    ip-10-0-9-38.us-west-2.compute.internal     Ready    <none>   3m49s   v1.29.3-eks-ae9a62a
    

Destroy

Scale down the deployment to de-provision Karpenter created resources first:

kubectl delete -f example.yaml
terraform destroy -target="module.eks_blueprints_addons" -auto-approve
terraform destroy -target="module.eks" -auto-approve
terraform destroy -auto-approve

See here for more details on cleaning up the resources created.