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Chapter 12. Tutorial: Using AWS Controllers for Kubernetes on ROSA
AWS Controllers for Kubernetes (ACK) lets you define and use AWS service resources directly from Red Hat OpenShift Service on AWS (ROSA). With ACK, you can take advantage of AWS-managed services for your applications without needing to define resources outside of the cluster or run services that provide supporting capabilities such as databases or message queues within the cluster.
You can install various ACK Operators directly from OperatorHub. This makes it easy to get started and use the Operators with your applications. This controller is a component of the AWS Controller for Kubernetes project, which is currently in developer preview.
Use this tutorial to deploy the ACK S3 Operator. You can also adapt it for any other ACK Operator in the OperatorHub of your cluster.
12.1. Prerequisites
- A ROSA cluster
-
A user account with
cluster-admin
privileges -
The OpenShift CLI (
oc
) -
The Amazon Web Services (AWS) CLI (
aws
)
12.2. Setting up your environment
Configure the following environment variables, changing the cluster name to suit your cluster:
$ export CLUSTER_NAME=$(oc get infrastructure cluster -o=jsonpath="{.status.infrastructureName}" | sed 's/-[a-z0-9]\{5\}$//') $ export REGION=$(rosa describe cluster -c ${ROSA_CLUSTER_NAME} --output json | jq -r .region.id) $ export OIDC_ENDPOINT=$(oc get authentication.config.openshift.io cluster -o json | jq -r .spec.serviceAccountIssuer | sed 's|^https://||') $ export AWS_ACCOUNT_ID=`aws sts get-caller-identity --query Account --output text` $ export ACK_SERVICE=s3 $ export ACK_SERVICE_ACCOUNT=ack-${ACK_SERVICE}-controller $ export POLICY_ARN=arn:aws:iam::aws:policy/AmazonS3FullAccess $ export AWS_PAGER="" $ export SCRATCH="/tmp/${ROSA_CLUSTER_NAME}/ack" $ mkdir -p ${SCRATCH}
Ensure all fields output correctly before moving to the next section:
$ echo "Cluster: ${ROSA_CLUSTER_NAME}, Region: ${REGION}, OIDC Endpoint: ${OIDC_ENDPOINT}, AWS Account ID: ${AWS_ACCOUNT_ID}"
12.3. Preparing your AWS Account
Create an AWS Identity Access Management (IAM) trust policy for the ACK Operator:
$ cat <<EOF > "${SCRATCH}/trust-policy.json" { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Condition": { "StringEquals" : { "${OIDC_ENDPOINT}:sub": "system:serviceaccount:ack-system:${ACK_SERVICE_ACCOUNT}" } }, "Principal": { "Federated": "arn:aws:iam::$AWS_ACCOUNT_ID:oidc-provider/${OIDC_ENDPOINT}" }, "Action": "sts:AssumeRoleWithWebIdentity" } ] } EOF
Create an AWS IAM role for the ACK Operator to assume with the
AmazonS3FullAccess
policy attached:NoteYou can find the recommended policy in each project’s GitHub repository, for example https://github.com/aws-controllers-k8s/s3-controller/blob/main/config/iam/recommended-policy-arn.
$ ROLE_ARN=$(aws iam create-role --role-name "ack-${ACK_SERVICE}-controller" \ --assume-role-policy-document "file://${SCRATCH}/trust-policy.json" \ --query Role.Arn --output text) $ echo $ROLE_ARN $ aws iam attach-role-policy --role-name "ack-${ACK_SERVICE}-controller" \ --policy-arn ${POLICY_ARN}
12.4. Installing the ACK S3 Controller
Create a project to install the ACK S3 Operator into:
$ oc new-project ack-system
Create a file with the ACK S3 Operator configuration:
NoteACK_WATCH_NAMESPACE
is purposefully left blank so the controller can properly watch all namespaces in the cluster.$ cat <<EOF > "${SCRATCH}/config.txt" ACK_ENABLE_DEVELOPMENT_LOGGING=true ACK_LOG_LEVEL=debug ACK_WATCH_NAMESPACE= AWS_REGION=${REGION} AWS_ENDPOINT_URL= ACK_RESOURCE_TAGS=${CLUSTER_NAME} ENABLE_LEADER_ELECTION=true LEADER_ELECTION_NAMESPACE= EOF
Use the file from the previous step to create a ConfigMap:
$ oc -n ack-system create configmap \ --from-env-file=${SCRATCH}/config.txt ack-${ACK_SERVICE}-user-config
Install the ACK S3 Operator from OperatorHub:
$ cat << EOF | oc apply -f - apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: ack-${ACK_SERVICE}-controller namespace: ack-system spec: upgradeStrategy: Default --- apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: ack-${ACK_SERVICE}-controller namespace: ack-system spec: channel: alpha installPlanApproval: Automatic name: ack-${ACK_SERVICE}-controller source: community-operators sourceNamespace: openshift-marketplace EOF
Annotate the ACK S3 Operator service account with the AWS IAM role to assume and restart the deployment:
$ oc -n ack-system annotate serviceaccount ${ACK_SERVICE_ACCOUNT} \ eks.amazonaws.com/role-arn=${ROLE_ARN} && \ oc -n ack-system rollout restart deployment ack-${ACK_SERVICE}-controller
Verify that the ACK S3 Operator is running:
$ oc -n ack-system get pods
Example output
NAME READY STATUS RESTARTS AGE ack-s3-controller-585f6775db-s4lfz 1/1 Running 0 51s
12.5. Validating the deployment
Deploy an S3 bucket resource:
$ cat << EOF | oc apply -f - apiVersion: s3.services.k8s.aws/v1alpha1 kind: Bucket metadata: name: ${CLUSTER-NAME}-bucket namespace: ack-system spec: name: ${CLUSTER-NAME}-bucket EOF
Verify the S3 bucket was created in AWS:
$ aws s3 ls | grep ${CLUSTER_NAME}-bucket
Example output
2023-10-04 14:51:45 mrmc-test-maz-bucket
12.6. Cleaning up
Delete the S3 bucket resource:
$ oc -n ack-system delete bucket.s3.services.k8s.aws/${CLUSTER-NAME}-bucket
Delete the ACK S3 Operator and the AWS IAM roles:
$ oc -n ack-system delete subscription ack-${ACK_SERVICE}-controller $ aws iam detach-role-policy \ --role-name "ack-${ACK_SERVICE}-controller" \ --policy-arn ${POLICY_ARN} $ aws iam delete-role \ --role-name "ack-${ACK_SERVICE}-controller"
Delete the
ack-system
project:$ oc delete project ack-system