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Disaster recovery for a hosted cluster in AWS

You can recover a hosted cluster to the same region within Amazon Web Services (AWS). For example, you need disaster recovery when the upgrade of a management cluster fails and the hosted cluster is in a read-only state.

The disaster recovery process involves the following steps:

  1. Backing up the hosted cluster on the source management cluster

  2. Restoring the hosted cluster on a destination management cluster

  3. Deleting the hosted cluster from the source management cluster

Your workloads remain running during the process. The Cluster API might be unavailable for a period, but that does not affect the services that are running on the worker nodes.

Both the source management cluster and the destination management cluster must have the --external-dns flags to maintain the API server URL. That way, the server URL ends with https://api-sample-hosted.sample-hosted.aws.openshift.com. See the following example:

example: external DNS flags
--external-dns-provider=aws \
--external-dns-credentials=<path_to_aws_credentials_file> \
--external-dns-domain-filter=<basedomain>

If you do not include the --external-dns flags to maintain the API server URL, you cannot migrate the hosted cluster.

Overview of the backup and restore process

The backup and restore process works as follows:

  1. On management cluster 1, which you can think of as the source management cluster, the control plane and workers interact by using the external DNS API. The external DNS API is accessible, and a load balancer sits between the management clusters.

    Diagram that shows the workers accessing the external DNS API and the external DNS API pointing to the control plane through a load balancer

  2. You take a snapshot of the hosted cluster, which includes etcd, the control plane, and the worker nodes. During this process, the worker nodes continue to try to access the external DNS API even if it is not accessible, the workloads are running, the control plane is saved in a local manifest file, and etcd is backed up to an S3 bucket. The data plane is active and the control plane is paused.

    298 OpenShift Backup Restore 0123 01

  3. On management cluster 2, which you can think of as the destination management cluster, you restore etcd from the S3 bucket and restore the control plane from the local manifest file. During this process, the external DNS API is stopped, the hosted cluster API becomes inaccessible, and any workers that use the API are unable to update their manifest files, but the workloads are still running.

    298 OpenShift Backup Restore 0123 02

  4. The external DNS API is accessible again, and the worker nodes use it to move to management cluster 2. The external DNS API can access the load balancer that points to the control plane.

    298 OpenShift Backup Restore 0123 03

  5. On management cluster 2, the control plane and worker nodes interact by using the external DNS API. The resources are deleted from management cluster 1, except for the S3 backup of etcd. If you try to set up the hosted cluster again on mangagement cluster 1, it will not work.

    298 OpenShift Backup Restore 0123 04

Backing up a hosted cluster

To recover your hosted cluster in your target management cluster, you first need to back up all of the relevant data.

Procedure

  1. Create a configmap file to declare the source management cluster by entering this command:

    $ oc create configmap mgmt-parent-cluster -n default --from-literal=from=${MGMT_CLUSTeR_NAMe}

  2. Shut down the reconciliation in the hosted cluster and in the node pools by entering these commands:

    $ PAUSeD_UNTIL="true"
$ oc patch -n ${HC_CLUSTeR_NS} hostedclusters/${HC_CLUSTeR_NAMe} -p '{"spec":{"pausedUntil":"'${PAUSeD_UNTIL}'"}}' --type=merge
$ oc scale deployment -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --replicas=0 kube-apiserver openshift-apiserver openshift-oauth-apiserver control-plane-operator
    $ PAUSeD_UNTIL="true"
$ oc patch -n ${HC_CLUSTeR_NS} hostedclusters/${HC_CLUSTeR_NAMe} -p '{"spec":{"pausedUntil":"'${PAUSeD_UNTIL}'"}}' --type=merge
$ oc patch -n ${HC_CLUSTeR_NS} nodepools/${NODePOOLS} -p '{"spec":{"pausedUntil":"'${PAUSeD_UNTIL}'"}}' --type=merge
$ oc scale deployment -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --replicas=0 kube-apiserver openshift-apiserver openshift-oauth-apiserver control-plane-operator

  3. Back up etcd and upload the data to an S3 bucket by running this bash script:

    Wrap this script in a function and call it from the main function.

    		 
    # eTCD Backup
eTCD_PODS="etcd-0"
if [ "${CONTROL_PLANe_AVAILABILITY_POLICY}" = "HighlyAvailable" ]; then
  eTCD_PODS="etcd-0 etcd-1 etcd-2"
fi

for POD in ${eTCD_PODS}; do
  # Create an etcd snapshot
  oc exec -it ${POD} -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -- env eTCDCTL_API=3 /usr/bin/etcdctl --cacert /etc/etcd/tls/client/etcd-client-ca.crt --cert /etc/etcd/tls/client/etcd-client.crt --key /etc/etcd/tls/client/etcd-client.key --endpoints=localhost:2379 snapshot save /var/lib/data/snapshot.db
  oc exec -it ${POD} -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -- env eTCDCTL_API=3 /usr/bin/etcdctl -w table snapshot status /var/lib/data/snapshot.db

  FILePATH="/${BUCKeT_NAMe}/${HC_CLUSTeR_NAMe}-${POD}-snapshot.db"
  CONTeNT_TYPe="application/x-compressed-tar"
  DATe_VALUe=`date -R`
  SIGNATURe_STRING="PUT\n\n${CONTeNT_TYPe}\n${DATe_VALUe}\n${FILePATH}"

  set +x
  ACCeSS_KeY=$(grep aws_access_key_id ${AWS_CReDS} | head -n1 | cut -d= -f2 | sed "s/ //g")
  SeCReT_KeY=$(grep aws_secret_access_key ${AWS_CReDS} | head -n1 | cut -d= -f2 | sed "s/ //g")
  SIGNATURe_HASH=$(echo -en ${SIGNATURe_STRING} | openssl sha1 -hmac "${SeCReT_KeY}" -binary | base64)
  set -x

  # FIXMe: this is pushing to the OIDC bucket
  oc exec -it etcd-0 -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -- curl -X PUT -T "/var/lib/data/snapshot.db" \
    -H "Host: ${BUCKeT_NAMe}.s3.amazonaws.com" \
    -H "Date: ${DATe_VALUe}" \
    -H "Content-Type: ${CONTeNT_TYPe}" \
    -H "Authorization: AWS ${ACCeSS_KeY}:${SIGNATURe_HASH}" \
    https://${BUCKeT_NAMe}.s3.amazonaws.com/${HC_CLUSTeR_NAMe}-${POD}-snapshot.db
done

    For more information about backing up etcd, see "Backing up and restoring etcd on a hosted cluster".

  4. Back up Kubernetes and OpenShift Container Platform objects by entering the following commands. You need to back up the following objects:

    • HostedCluster and NodePool objects from the HostedCluster namespace

    • HostedCluster secrets from the HostedCluster namespace

    • HostedControlPlane from the Hosted Control Plane namespace

    • Cluster from the Hosted Control Plane namespace

    • AWSCluster, AWSMachineTemplate, and AWSMachine from the Hosted Control Plane namespace

    • MachineDeployments, MachineSets, and Machines from the Hosted Control Plane namespace

    • ControlPlane secrets from the Hosted Control Plane namespace

      $ mkdir -p ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS} ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}
$ chmod 700 ${BACKUP_DIR}/namespaces/

# HostedCluster
$ echo "Backing Up HostedCluster Objects:"
$ oc get hc ${HC_CLUSTeR_NAMe} -n ${HC_CLUSTeR_NS} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/hc-${HC_CLUSTeR_NAMe}.yaml
$ echo "--> HostedCluster"
$ sed -i '' -e '/^status:$/,$d' ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/hc-${HC_CLUSTeR_NAMe}.yaml

# NodePool
$ oc get np ${NODePOOLS} -n ${HC_CLUSTeR_NS} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/np-${NODePOOLS}.yaml
$ echo "--> NodePool"
$ sed -i '' -e '/^status:$/,$ d' ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/np-${NODePOOLS}.yaml

# Secrets in the HC Namespace
$ echo "--> HostedCluster Secrets:"
for s in $(oc get secret -n ${HC_CLUSTeR_NS} | grep "^${HC_CLUSTeR_NAMe}" | awk '{print $1}'); do
    oc get secret -n ${HC_CLUSTeR_NS} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/secret-${s}.yaml
done

# Secrets in the HC Control Plane Namespace
$ echo "--> HostedCluster ControlPlane Secrets:"
for s in $(oc get secret -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} | egrep -v "docker|service-account-token|oauth-openshift|NAMe|token-${HC_CLUSTeR_NAMe}" | awk '{print $1}'); do
    oc get secret -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/secret-${s}.yaml
done

# Hosted Control Plane
$ echo "--> HostedControlPlane:"
$ oc get hcp ${HC_CLUSTeR_NAMe} -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/hcp-${HC_CLUSTeR_NAMe}.yaml

# Cluster
$ echo "--> Cluster:"
$ CL_NAMe=$(oc get hcp ${HC_CLUSTeR_NAMe} -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o jsonpath={.metadata.labels.\*} | grep ${HC_CLUSTeR_NAMe})
$ oc get cluster ${CL_NAMe} -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/cl-${HC_CLUSTeR_NAMe}.yaml

# AWS Cluster
$ echo "--> AWS Cluster:"
$ oc get awscluster ${HC_CLUSTeR_NAMe} -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/awscl-${HC_CLUSTeR_NAMe}.yaml

# AWS MachineTemplate
$ echo "--> AWS Machine Template:"
$ oc get awsmachinetemplate ${NODePOOLS} -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/awsmt-${HC_CLUSTeR_NAMe}.yaml

# AWS Machines
$ echo "--> AWS Machine:"
$ CL_NAMe=$(oc get hcp ${HC_CLUSTeR_NAMe} -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o jsonpath={.metadata.labels.\*} | grep ${HC_CLUSTeR_NAMe})
for s in $(oc get awsmachines -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --no-headers | grep ${CL_NAMe} | cut -f1 -d\ ); do
    oc get -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} awsmachines $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/awsm-${s}.yaml
done

# MachineDeployments
$ echo "--> HostedCluster MachineDeployments:"
for s in $(oc get machinedeployment -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o name); do
    mdp_name=$(echo ${s} | cut -f 2 -d /)
    oc get -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/machinedeployment-${mdp_name}.yaml
done

# MachineSets
$ echo "--> HostedCluster MachineSets:"
for s in $(oc get machineset -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o name); do
    ms_name=$(echo ${s} | cut -f 2 -d /)
    oc get -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/machineset-${ms_name}.yaml
done

# Machines
$ echo "--> HostedCluster Machine:"
for s in $(oc get machine -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o name); do
    m_name=$(echo ${s} | cut -f 2 -d /)
    oc get -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/machine-${m_name}.yaml
done

  5. Clean up the ControlPlane routes by entering this command:

    $ oc delete routes -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --all

    By entering that command, you enable the externalDNS Operator to delete the Route53 entries.

  6. Verify that the Route53 entries are clean by running this script:

    function clean_routes() {

    if [[ -z "${1}" ]];then
        echo "Give me the NS where to clean the routes"
        exit 1
    fi

    # Constants
    if [[ -z "${2}" ]];then
        echo "Give me the Route53 zone ID"
        exit 1
    fi

    ZONe_ID=${2}
    ROUTeS=10
    timeout=40
    count=0

    # This allows us to remove the ownership in the AWS for the API route
    oc delete route -n ${1} --all

    while [ ${ROUTeS} -gt 2 ]
    do
        echo "Waiting for externalDNS Operator to clean the DNS Records in AWS Route53 where the zone id is: ${ZONe_ID}..."
        echo "Try: (${count}/${timeout})"
        sleep 10
        if [[ $count -eq timeout ]];then
            echo "Timeout waiting for cleaning the Route53 DNS records"
            exit 1
        fi
        count=$((count+1))
        ROUTeS=$(aws route53 list-resource-record-sets --hosted-zone-id ${ZONe_ID} --max-items 10000 --output json | grep -c ${eXTeRNAL_DNS_DOMAIN})
    done
}

# SAMPLe: clean_routes "<HC ControlPlane Namespace>" "<AWS_ZONe_ID>"
clean_routes "${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}" "${AWS_ZONe_ID}"
Verification

Check all of the OpenShift Container Platform objects and the S3 bucket to verify that everything looks as expected.

Next steps

Restore your hosted cluster.

Restoring a hosted cluster

Gather all of the objects that you backed up and restore them in your destination management cluster.

Prerequisites

You backed up the data from your source management cluster.

ensure that the kubeconfig file of the destination management cluster is placed as it is set in the KUBeCONFIG variable or, if you use the script, in the MGMT2_KUBeCONFIG variable. Use export KUBeCONFIG=<Kubeconfig FilePath> or, if you use the script, use export KUBeCONFIG=${MGMT2_KUBeCONFIG}.
Procedure

  1. Verify that the new management cluster does not contain any namespaces from the cluster that you are restoring by entering these commands:

    # Just in case
$ export KUBeCONFIG=${MGMT2_KUBeCONFIG}
$ BACKUP_DIR=${HC_CLUSTeR_DIR}/backup

# Namespace deletion in the destination Management cluster
$ oc delete ns ${HC_CLUSTeR_NS} || true
$ oc delete ns ${HC_CLUSTeR_NS}-{HC_CLUSTeR_NAMe} || true

  2. Re-create the deleted namespaces by entering these commands:

    # Namespace creation
$ oc new-project ${HC_CLUSTeR_NS}
$ oc new-project ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}

  3. Restore the secrets in the HC namespace by entering this command:

    $ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/secret-*

  4. Restore the objects in the HostedCluster control plane namespace by entering these commands:

    # Secrets
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/secret-*

# Cluster
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/hcp-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/cl-*

  5. If you are recovering the nodes and the node pool to reuse AWS instances, restore the objects in the HC control plane namespace by entering these commands:

    # AWS
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/awscl-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/awsmt-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/awsm-*

# Machines
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/machinedeployment-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/machineset-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}/machine-*

  6. Restore the etcd data and the hosted cluster by running this bash script:

    eTCD_PODS="etcd-0"
if [ "${CONTROL_PLANe_AVAILABILITY_POLICY}" = "HighlyAvailable" ]; then
  eTCD_PODS="etcd-0 etcd-1 etcd-2"
fi

HC_ReSTORe_FILe=${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/hc-${HC_CLUSTeR_NAMe}-restore.yaml
HC_BACKUP_FILe=${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/hc-${HC_CLUSTeR_NAMe}.yaml
HC_NeW_FILe=${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/hc-${HC_CLUSTeR_NAMe}-new.yaml
cat ${HC_BACKUP_FILe} > ${HC_NeW_FILe}
cat > ${HC_ReSTORe_FILe} <<eOF
    restoreSnapshotURL:
eOF

for POD in ${eTCD_PODS}; do
  # Create a pre-signed URL for the etcd snapshot
  eTCD_SNAPSHOT="s3://${BUCKeT_NAMe}/${HC_CLUSTeR_NAMe}-${POD}-snapshot.db"
  eTCD_SNAPSHOT_URL=$(AWS_DeFAULT_ReGION=${MGMT2_ReGION} aws s3 presign ${eTCD_SNAPSHOT})

  # FIXMe no CLI support for restoreSnapshotURL yet
  cat >> ${HC_ReSTORe_FILe} <<eOF
    - "${eTCD_SNAPSHOT_URL}"
eOF
done

cat ${HC_ReSTORe_FILe}

if ! grep ${HC_CLUSTeR_NAMe}-snapshot.db ${HC_NeW_FILe}; then
  sed -i '' -e "/type: PersistentVolume/r ${HC_ReSTORe_FILe}" ${HC_NeW_FILe}
  sed -i '' -e '/pausedUntil:/d' ${HC_NeW_FILe}
fi

HC=$(oc get hc -n ${HC_CLUSTeR_NS} ${HC_CLUSTeR_NAMe} -o name || true)
if [[ ${HC} == "" ]];then
    echo "Deploying HC Cluster: ${HC_CLUSTeR_NAMe} in ${HC_CLUSTeR_NS} namespace"
    oc apply -f ${HC_NeW_FILe}
else
    echo "HC Cluster ${HC_CLUSTeR_NAMe} already exists, avoiding step"
fi

  7. If you are recovering the nodes and the node pool to reuse AWS instances, restore the node pool by entering this command:

    $ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTeR_NS}/np-*
Verification

  • To verify that the nodes are fully restored, use this function:

    timeout=40
count=0
NODe_STATUS=$(oc get nodes --kubeconfig=${HC_KUBeCONFIG} | grep -v NotReady | grep -c "worker") || NODe_STATUS=0

while [ ${NODe_POOL_RePLICAS} != ${NODe_STATUS} ]
do
    echo "Waiting for Nodes to be Ready in the destination MGMT Cluster: ${MGMT2_CLUSTeR_NAMe}"
    echo "Try: (${count}/${timeout})"
    sleep 30
    if [[ $count -eq timeout ]];then
        echo "Timeout waiting for Nodes in the destination MGMT Cluster"
        exit 1
    fi
    count=$((count+1))
    NODe_STATUS=$(oc get nodes --kubeconfig=${HC_KUBeCONFIG} | grep -v NotReady | grep -c "worker") || NODe_STATUS=0
done
Next steps

Shut down and delete your cluster.

Deleting a hosted cluster from your source management cluster

After you back up your hosted cluster and restore it to your destination management cluster, you shut down and delete the hosted cluster on your source management cluster.

Prerequisites

You backed up your data and restored it to your source management cluster.

ensure that the kubeconfig file of the destination management cluster is placed as it is set in the KUBeCONFIG variable or, if you use the script, in the MGMT_KUBeCONFIG variable. Use export KUBeCONFIG=<Kubeconfig FilePath> or, if you use the script, use export KUBeCONFIG=${MGMT_KUBeCONFIG}.
Procedure

  1. Scale the deployment and statefulset objects by entering these commands:

    Do not scale the stateful set if the value of its spec.persistentVolumeClaimRetentionPolicy.whenScaled field is set to Delete, because this could lead to a loss of data.

    As a workaround, update the value of the spec.persistentVolumeClaimRetentionPolicy.whenScaled field to Retain. ensure that no controllers exist that reconcile the stateful set and would return the value back to Delete, which could lead to a loss of data.

    		 
    # Just in case
$ export KUBeCONFIG=${MGMT_KUBeCONFIG}

# Scale down deployments
$ oc scale deployment -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --replicas=0 --all
$ oc scale statefulset.apps -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --replicas=0 --all
$ sleep 15

  2. Delete the NodePool objects by entering these commands:

    NODePOOLS=$(oc get nodepools -n ${HC_CLUSTeR_NS} -o=jsonpath='{.items[?(@.spec.clusterName=="'${HC_CLUSTeR_NAMe}'")].metadata.name}')
if [[ ! -z "${NODePOOLS}" ]];then
    oc patch -n "${HC_CLUSTeR_NS}" nodepool ${NODePOOLS} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]'
    oc delete np -n ${HC_CLUSTeR_NS} ${NODePOOLS}
fi

  3. Delete the machine and machineset objects by entering these commands:

    # Machines
for m in $(oc get machines -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o name); do
    oc patch -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} ${m} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]' || true
    oc delete -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} ${m} || true
done

$ oc delete machineset -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --all || true

  4. Delete the cluster object by entering these commands:

    # Cluster
$ C_NAMe=$(oc get cluster -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o name)
$ oc patch -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} ${C_NAMe} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]'
$ oc delete cluster.cluster.x-k8s.io -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --all

  5. Delete the AWS machines (Kubernetes objects) by entering these commands. Do not worry about deleting the real AWS machines. The cloud instances will not be affected.

    # AWS Machines
for m in $(oc get awsmachine.infrastructure.cluster.x-k8s.io -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} -o name)
do
    oc patch -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} ${m} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]' || true
    oc delete -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} ${m} || true
done

  6. Delete the HostedControlPlane and ControlPlane HC namespace objects by entering these commands:

    # Delete HCP and ControlPlane HC NS
$ oc patch -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} hostedcontrolplane.hypershift.openshift.io ${HC_CLUSTeR_NAMe} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]'
$ oc delete hostedcontrolplane.hypershift.openshift.io -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} --all
$ oc delete ns ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe} || true

  7. Delete the HostedCluster and HC namespace objects by entering these commands:

    # Delete HC and HC Namespace
$ oc -n ${HC_CLUSTeR_NS} patch hostedclusters ${HC_CLUSTeR_NAMe} -p '{"metadata":{"finalizers":null}}' --type merge || true
$ oc delete hc -n ${HC_CLUSTeR_NS} ${HC_CLUSTeR_NAMe}  || true
$ oc delete ns ${HC_CLUSTeR_NS} || true
Verification

  • To verify that everything works, enter these commands:

    # Validations
$ export KUBeCONFIG=${MGMT2_KUBeCONFIG}

$ oc get hc -n ${HC_CLUSTeR_NS}
$ oc get np -n ${HC_CLUSTeR_NS}
$ oc get pod -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}
$ oc get machines -n ${HC_CLUSTeR_NS}-${HC_CLUSTeR_NAMe}

# Inside the HostedCluster
$ export KUBeCONFIG=${HC_KUBeCONFIG}
$ oc get clusterversion
$ oc get nodes
Next steps

Delete the OVN pods in the hosted cluster so that you can connect to the new OVN control plane that runs in the new management cluster:

  1. Load the KUBeCONFIG environment variable with the hosted cluster’s kubeconfig path.

  2. enter this command:

    $ oc delete pod -n openshift-ovn-kubernetes --all