4.2. AWS 区域托管的集群的灾难恢复

1. 在管理集群 1 中，您可以将其视为源管理集群，control plane 和 worker 使用 ExternalDNS API 进行交互。可以访问外部 DNS API，并且一个负载均衡器位于管理集群之间。

   

2. 您为托管集群执行快照，其中包括 etcd、control plane 和 worker 节点。在此过程中，worker 节点仍然会尝试访问外部 DNS API，即使无法访问它，工作负载正在运行，control plane 存储在本地清单文件中，etcd 会备份到 S3 存储桶。data plane 处于活跃状态，control plane 已暂停。

   

3. 在管理集群 2 中，您可以将其视为目标管理集群，您可以从 S3 存储桶中恢复 etcd，并从本地清单文件恢复 control plane。在此过程中，外部 DNS API 会停止，托管集群 API 变得不可访问，任何使用 API 的 worker 都无法更新其清单文件，但工作负载仍在运行。

   

4. 外部 DNS API 可以再次访问，worker 节点使用它来移至管理集群 2。外部 DNS API 可以访问指向 control plane 的负载均衡器。

   

5. 在管理集群 2 中，control plane 和 worker 节点使用外部 DNS API 进行交互。资源从管理集群 1 中删除，但 etcd 的 S3 备份除外。如果您尝试在 mangagement 集群 1 上再次设置托管集群，它将无法正常工作。

   

流程

1. 输入以下命令创建 configmap 文件来声明源管理集群：

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

2. 输入这些命令，在托管集群和节点池中关闭协调：

   $ 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. 运行此 bash 脚本备份 etcd 并将数据上传到 S3 存储桶：

   提示

   将此脚本嵌套在函数中，并从主功能调用它。

   # 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

   有关备份 etcd 的更多信息，请参阅 "Backing and restore etcd on a hosted cluster"。

4. 输入以下命令备份 Kubernetes 和 OpenShift Container Platform 对象。您需要备份以下对象：

   • 来自 HostedCluster 命名空间的 HostedCluster 和 NodePool 对象
   • 来自 HostedCluster 命名空间中的 HostedCluster secret
   • 来自 Hosted Control Plane 命名空间中的 HostedControlPlane
   • 来自 Hosted Control Plane 命名空间的 Cluster
   • 来自 Hosted Control Plane 命名空间的AWSCluster, AWSMachineTemplate, 和 AWSMachine
   • 来自 Hosted Control Plane 命名空间的 MachineDeployments, MachineSets, 和 Machines。

   • 来自 Hosted Control Plane 命名空间的 ControlPlane

     $ 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. 输入以下命令清理 ControlPlane 路由：

   $ oc delete routes -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --all

   输入该命令，您可以启用 ExternalDNS Operator 来删除 Route53 条目。

6. 运行该脚本验证 Route53 条目是否清理：

   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}"

流程

1. 输入以下命令验证新管理集群是否不包含您要恢复的集群中的任何命名空间：

   # 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. 输入以下命令重新创建已删除的命名空间：

   # Namespace creation
   $ oc new-project ${HC_CLUSTER_NS}
   $ oc new-project ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}

3. 输入以下命令恢复 HC 命名空间中的 secret：

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

4. 输入以下命令恢复 HostedCluster control plane 命名空间中的对象：

   # 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. 如果您要恢复节点和节点池来重复利用 AWS 实例，请输入以下命令恢复 HC control plane 命名空间中的对象：

   # 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. 运行此 bash 脚本恢复 etcd 数据和托管集群：

   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. 如果您要恢复节点和节点池来重复利用 AWS 实例，请输入以下命令恢复节点池：

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

流程

1. 输入以下命令来扩展 deployment 和 statefulset 对象：

   # 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. 输入以下命令来删除 NodePool 对象：

   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. 输入以下命令删除 machine 和 machineset 对象：

   # 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. 输入以下命令删除集群对象：

   # 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. 输入这些命令来删除 AWS 机器 (Kubernetes 对象)。不用担心删除实际的 AWS 机器。云实例不会受到影响。

   # 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. 输入以下命令删除 HostedControlPlane 和 ControlPlane HC 命名空间对象：

   # 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. 输入以下命令删除 HostedCluster 和 HC 命名空间对象：

   # 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

1. 使用托管的集群的 kubeconfig 路径加载 KUBECONFIG 环境变量。

2. 输入这个命令：

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

流程

1. 将以下脚本中的变量替换为您的信息：

   # Fill the Common variables to fit your environment, this is just a sample
   SSH_KEY_FILE=${HOME}/.ssh/id_rsa.pub
   BASE_PATH=${HOME}/hypershift
   BASE_DOMAIN="aws.sample.com"
   PULL_SECRET_FILE="${HOME}/pull_secret.json"
   AWS_CREDS="${HOME}/.aws/credentials"
   CONTROL_PLANE_AVAILABILITY_POLICY=SingleReplica
   HYPERSHIFT_PATH=${BASE_PATH}/src/hypershift
   HYPERSHIFT_CLI=${HYPERSHIFT_PATH}/bin/hypershift
   HYPERSHIFT_IMAGE=${HYPERSHIFT_IMAGE:-"quay.io/${USER}/hypershift:latest"}
   NODE_POOL_REPLICAS=${NODE_POOL_REPLICAS:-2}
   
   # MGMT Context
   MGMT_REGION=us-west-1
   MGMT_CLUSTER_NAME="${USER}-dev"
   MGMT_CLUSTER_NS=${USER}
   MGMT_CLUSTER_DIR="${BASE_PATH}/hosted_clusters/${MGMT_CLUSTER_NS}-${MGMT_CLUSTER_NAME}"
   MGMT_KUBECONFIG="${MGMT_CLUSTER_DIR}/kubeconfig"
   
   # MGMT2 Context
   MGMT2_CLUSTER_NAME="${USER}-dest"
   MGMT2_CLUSTER_NS=${USER}
   MGMT2_CLUSTER_DIR="${BASE_PATH}/hosted_clusters/${MGMT2_CLUSTER_NS}-${MGMT2_CLUSTER_NAME}"
   MGMT2_KUBECONFIG="${MGMT2_CLUSTER_DIR}/kubeconfig"
   
   # Hosted Cluster Context
   HC_CLUSTER_NS=clusters
   HC_REGION=us-west-1
   HC_CLUSTER_NAME="${USER}-hosted"
   HC_CLUSTER_DIR="${BASE_PATH}/hosted_clusters/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}"
   HC_KUBECONFIG="${HC_CLUSTER_DIR}/kubeconfig"
   BACKUP_DIR=${HC_CLUSTER_DIR}/backup
   
   BUCKET_NAME="${USER}-hosted-${MGMT_REGION}"
   
   # DNS
   AWS_ZONE_ID="Z026552815SS3YPH9H6MG"
   EXTERNAL_DNS_DOMAIN="guest.jpdv.aws.kerbeross.com"

2. 将脚本保存到本地文件系统中。

3. 输入以下命令运行脚本：

   source <env_file>

   其中： env_file 是保存脚本的文件的名称。

   迁移脚本在以下软件仓库中维护：https://github.com/openshift/hypershift/blob/main/contrib/migration/migrate-hcp.sh。