AWS Pod EIP Controller

The AWS Pod EIP Controller (PEC) offers a function to automatically allocate and release Elastic IPs via annotations.

Overview

The solution processes EIPs for Pods through the following steps:

Informers listen for Pod events through List and Watch.
The Controller pushes the corresponding Pod keys from the acquired events to the WorkQueue.
The Worker gets the Pod key from the WorkQueue and acquires the related Pod information from the Indexer.
Based on the Pod's annotation information, the Worker uses the AWS SDK to allocate and associate an EIP for the Pod or disassociate and release the EIP.

Annotations

Name	Type	Default	Location
aws-samples.github.com/aws-pod-eip-controller-type	string	auto	pod
aws-samples.github.com/aws-pod-eip-controller-public-ipv4-pool	string		pod

Config

Flag	Chart Value	Type	Default	Describetion
N/A	image	string	''	aws pod eip controller docker image to deploy
kubeconfig	N/A	string	''	kubeconfig path, need to provide when debugging locally
vpc-id	vpcID	string	''	need to provide when debugging locally or deploying in fargate
region	region	string	''	need to provide when debugging locally or deploying in fargate
watch-namespace	watchNamespace	string	''	which namespace to listen on only, empty to listen to all
cluster-name	clusterName	string	''	eks cluster name
log-level	logLevel	string	info	log level: debug, info, warn, error
N/A	createServiceAccount	boolean	false	whether the helm chart should create service account
resync-period	resyncPeriod	int	0	the resync-period for informer
N/A	serviceAccountName	string	''	The serviceaccount name used by Pod EIP controller

Prerequisites

Install eksctl.
Install helm
Install AWS CLI.
Install kubectl.
install git.
install docker.
install docker buildx.

Walkthrough

Create an EKS cluster

Set the current account and region

export ACCOUNT_ID=$(aws sts get-caller-identity --output text --query Account)
export AWS_REGION=<your-region>

Note: Replace <your-region> with the region where your EKS cluster is located.

This command will create a nodegroup called main at the same time, which contains two instances of type m5.large, and deploy them in the public subnet.

cat << EOF > eip-demo-cluster.yaml
apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig

metadata:
  name: eip-controller-demo
  region: ${AWS_REGION}
  version: "1.28"

iam:
  withOIDC: true
managedNodeGroups:
  - name: main
    instanceType: m6i.large
    desiredCapacity: 2
    privateNetworking: false
EOF
eksctl create cluster -f eip-demo-cluster.yaml
kubectl get nodes

Build image and push to Amazon Elastic Container Registry

Create ECR repository and login.

aws ecr create-repository --repository-name aws-pod-eip-controller
aws ecr get-login-password --region ${AWS_REGION} \
    | docker login --username AWS \
    --password-stdin ${ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com

Download the sample Pod EIP Controller code, build the image and push it to ECR.

git clone https://github.com/aws-samples/aws-pod-eip-controller.git
cd aws-pod-eip-controller
docker buildx build \
    --tag ${ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com/aws-pod-eip-controller:latest \
    --platform linux/amd64,linux/arm64 \
    --push .

Deploy Pod EIP controller

Create the IAM policy needed for the controller.

cat << EOF > iam-policy.json
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": [
                "ec2:AllocateAddress",
                "ec2:AssociateAddress",
                "ec2:CreateTags",
                "ec2:ReleaseAddress",
                "ec2:DisassociateAddress",
                "ec2:DeleteTags",
                "ec2:DescribeAddresses",
                "ec2:DescribeNetworkInterfaces"
            ],
            "Resource": "*"
        }
    ]
}
EOF
aws iam create-policy \
    --policy-name AWSPodEIPControllerIAMPolicy \
    --policy-document file://iam-policy.json

Create an IAM role and Kubernetes ServiceAccount for the controller.

eksctl create iamserviceaccount \
    --cluster=eip-controller-demo \
    --namespace=kube-system \
    --name=aws-pod-eip-controller \
    --attach-policy-arn=arn:aws:iam::${ACCOUNT_ID}:policy/AWSPodEIPControllerIAMPolicy \
    --override-existing-serviceaccounts \
    --region ${AWS_REGION} \
    --approve

Deploy aws-pod-eip-controller helm chart

helm install aws-pod-eip-controller ./charts/aws-pod-eip-controller \
  --namespace kube-system \
  --set image=${ACCOUNT_ID}.dkr.ecr.${AWS_REGION}.amazonaws.com/aws-pod-eip-controller:latest \
  --set clusterName=eip-controller-demo \
  --set serviceAccountName=aws-pod-eip-controller \
  --wait

This command will create the aws-pod-eip-controller deployment in the kube-system namespace.

Usage example

cat << EOF > nginx.demo.yaml
---
apiVersion: v1
kind: Namespace
metadata:
  name: nginx-demo-ns
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: nginx-user
  namespace: nginx-demo-ns
---
apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: nginx-demo-ns
  name: app-nginx-demo
  labels:
    app.kubernetes.io/name: app-nginx-demo
    version: v1
spec:
  replicas: 1
  selector:
    matchLabels:
      app: app-nginx-demo
  template:
    metadata:
      labels:
        app: app-nginx-demo
      annotations:
        aws-samples.github.com/aws-pod-eip-controller-type: auto
    spec:
      serviceAccountName: nginx-user
      containers:
      - image: nginx:1.20
        name: nginx
        ports:
        - containerPort: 80
          protocol: TCP
        resources:
          limits:
            cpu: "0.5"
            memory: "512Mi"
          requests:
            cpu: "0.1"
            memory: "128Mi"
        volumeMounts:
        - name: podinfo
          mountPath: /etc/podinfo
      initContainers:
      - image: busybox:1.28
        name: innit
        command: ['timeout', '-t' ,'60', 'sh','-c', "until grep -E '^aws-pod-eip-controller-public-ip?' /etc/podinfo/labels; do echo waiting for labels; sleep 2; done"]
        volumeMounts:
        - name: podinfo
          mountPath: /etc/podinfo
      volumes:
        - name: podinfo
          downwardAPI:
            items:
            - path: "labels"
              fieldRef:
                fieldPath: metadata.labels
EOF
kubectl apply -f nginx.demo.yaml

Run this command to see the name of the Pod.

kubectl get pod -n nginx-demo-ns

Run this command to see the associated EIP.

kubectl get pods <your-pod-name> \
    -o=custom-columns=NAME:.metadata.name,STATUS:.status.phase,PODIP:.status.podIP,EIP:.metadata.labels.aws-pod-eip-controller-public-ip \
    -n nginx-demo-ns \
    -w

Note: You need to replace <your-pod-name> with the actual name of your nginx Pod.

Note: In the security group where this EIP is located, adding an access rule for port 80 will allow you to access the Pod through the EIP.

Note: Similarly, you can also mount the relevant labels to the file system through the downwardAPI for access. As shown in the example, they are mounted to the /etc/podinfo/labels path.

Cleanup

To avoid charges, delete your AWS resources.

kubectl delete -f nginx.demo.yaml

Note: Deleting the deployment will cause the controller to release the associated EIP.

eksctl delete cluster -f eip-demo-cluster.yaml
aws iam delete-policy \
    --policy-arn arn:aws:iam::${ACCOUNT_ID}:policy/AWSPodEIPControllerIAMPolicy
aws ecr delete-repository --repository-name aws-pod-eip-controller --force

Note: Execute the command in the folder where eip-demo-cluster.yaml is located.

Conclusion

In this post, you deployed the EIP controller in an EKS cluster. By listening to Pod creation and deletion events, it associates and disassociates EIP for Pods annotated with specific annotations. This simplifies application access. Pods can be directly accessed via EIP without needing additional Load Balancers or Ingress Controllers. It enables automated operations. The annotations and controller approach fully automates the EIP allocation and release process without requiring human intervention.

thehackercat/aws-pod-eip-controller