部署专属算力服务

配置专属算力服务器

加入到 kubernetes 集群

提前在专属算力服务器部署好 kubernetes node 环境
在 kubernetes 主节点获取新节点加入集群的命令
```
kubeadm token create --print-join-command
```

在专属算力服务器执行加入集群的命令

kubeadm join 192.168.1.100:6443 --token 3nwjzw.pdod3r27lnqqhi0x --discovery-token-ca-cert-hash sha256:a84445303xxxxxxxxxxxxxxxxxxx175a2

下载镜像

下载 computinginstance 镜像（仅需在专属算力服务器上操作）

服务器支持访问互联网
服务器不支持访问互联网

crictl pull registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4

# 镜像文件下载链接，下载完成后上传到部署服务器
https://pdpublic.mingdao.com/private-deployment/offline/mingdaoyun-computinginstance-linux-amd64-7.2.4.tar.gz
# 解压镜像
gunzip -d mingdaoyun-computinginstance-linux-amd64-7.2.4.tar.gz
# 导入镜像
ctr -n k8s.io image import mingdaoyun-computinginstance-linux-amd64-7.2.4.tar

添加污点及标签

获取专属算力节点 node 名称
```
kubectl get node
```

给专属算力节点添加污点与标签

kubectl taint node $your_node_name md=workflowcompute:NoSchedule
kubectl label node $your_node_name md=workflowcompute

注意，需要将 $your_node_name 替换为实际的 node 名称

给专属算力节点添加标签

部署专属算力服务

备注

专属算力是从 v5.1.0 版本开始支持的，在安装管理器版本>=5.1.0时，首次部署会生成默认的 computinginstance.yaml 文件，在配置专属算力服务时通常修改现有配置文件即可
如首次部署时安装管理器版本<5.1.0，需要新增 computinginstance.yaml 文件并修改相关脚本

首次部署时安装管理器版本>=5.1.0
首次部署时安装管理器版本<5.1.0

执行 cat $KUBECONFIG 获取 $KUBECONFIG 内容（对应 kubernetes 的 /etc/kubernetes/admin.conf 文件）

cat $KUBECONFIG

输出样例：

apiVersion: v1
clusters:
- cluster:
    certificate-authority-data: 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
    server: https://192.168.0.150:6443
  name: kubernetes
contexts:
- context:
    cluster: kubernetes
    user: kubernetes-admin
  name: kubernetes-admin@kubernetes
current-context: kubernetes-admin@kubernetes
kind: Config
preferences: {}
users:
- name: kubernetes-admin
  user:
    client-certificate-data: LS0tLS1CRUdJTiBDRVJUSUZJQ0FURS0tLS0tCk1JSURJVENDQWdtZ0F3SUJBZ0lJWnJObmsyZ1RLRmd3RFFZSktvWklodmNOQVFFTEJRQXdGVEVUTUJFR0ExVUUKQXhNS2EzVmlaWEp1WlhSbGN6QWVGdzB5TkRBeE1qa3dPVE0wTlRWYUZ3MHlOVEF4TWpnd09UTTBOVGRhTURReApGekFWQmdOVkJBb1REbk41YzNSbGJUcHRZWE4wWlhKek1Sa3dGd1lEVlFRREV4QnJkV0psY201bGRHVnpMV0ZrCmJXbHVNSUlCSWpBTkJna3Foa2lHOXcwQkFRRUZBQU9DQVE4QU1JSUJDZ0tDQVFFQXBhMk1zT1JkNHJ5djFhdEsKbkcrZzZiUkhJZ28rbEVkL09qSThTVU9BVlppV0tNY2pFaU81TXpkSXhaZW8yNFIxYzBweTNyei9WQ1FkNkZTdQpmSkFydDJodkZEczFvWGN2UEZ6d2xKRWZpblRNZkdqVndhZTkyNGZrak15MDU4d0pFbjVEVDJYa294QmhyOGhFClhSZ2dBbFpDL0R3dVA3ZjhBcmtyTC8wOG9TbmFhWm5sVkpKTU9qWnN5VFBCMnFTTXZselh1Z25vSW14Qlhkc0oKZkVScm5qQ3R2RDdxOU5MRmx5QVV0OWRsMVNUMDRocDh0L1hBVVAyazZMcjQyUXZCdEVnN1RaR1pBTEp5NEdpUwozLyswTU9NcmVMYjVnRGRIOTExRTV2d3JteU4zdUNDSkxjbWVoUEh2UWJuYVVUNGtod2lkMHdBcDNJNnhCYkNpCjRNaFNGd0lEQVFBQm8xWXdWREFPQmdOVkhROEJBZjhFQkFNQ0JhQXdFd1lEVlIwbEJBd3dDZ1lJS3dZQkJRVUgKQXdJd0RBWURWUjBUQVFIL0JBSXdBREFmQmdOVkhTTUVHREFXZ0JSdFpySURIRTlJZldXSm1DRW8yUHBkdUV3dwowVEFOQmdrcWhraUc5dzBCQVFzRkFBT0NBUUVBUVVkeEVxUkFzZ1ZmWFAzS0tuaG4veTRmcUpVdXk4ZzRPU2N0CmtOWmRkdFhNZ0xYK3RMekVIZnlxTXZ4cFlzMGhLQWNHZWlaRHkwajkrSFZ4L00zZWVmNUdGOWVTRHhvYy9Gd3QKQ2NxUGV2R1lKOVpaTGhacERENEN0L1dURjJ3eXRjdGo4UkdBVGsxcXl5Vkh5Vi82NGNSc2phYTIyQTNGVUFDNAovS2x5MHlBc25Ib0IyWS9SelJPTTJWLzhIdFFqRUg3RExzZHFpQVdIU2xOUGphdDM1NWg0ek10cW9jTWY0bzljCm0yd1RuaVp3QktBQmZVc3BNUFRlc2FITGw4Y1AzWklXbjF5QnJmcVFjenVWRnVtRjhqLy9QMTJ0YkxrVXAwSzEKbTNRclNDVnZDdnhOL1VjNGlmUFB1YkdRZDdudUc2RUdkdHVSeFB2RzdDem1sTjQ1amc9PQotLS0tLUVORCBDRVJUSUZJQ0FURS0tLS0tCg==
    client-key-data: LS0tLS1CRUdJTiBSU0EgUFJJVkFURSBLRVktLS0tLQpNSUlFb3dJQkFBS0NBUUVBcGEyTXNPUmQ0cnl2MWF0S25HK2c2YlJISWdvK2xFZC9Pakk4U1VPQVZaaVdLTWNqCkVpTzVNemRJeFplbzI0UjFjMHB5M3J6L1ZDUWQ2RlN1ZkpBcnQyaHZGRHMxb1hjdlBGendsSkVmaW5UTWZHalYKd2FlOTI0ZmtqTXkwNTh3SkVuNURUMlhrb3hCaHI4aEVYUmdnQWxaQy9Ed3VQN2Y4QXJrckwvMDhvU25hYVpubApWSkpNT2pac3lUUEIycVNNdmx6WHVnbm9JbXhCWGRzSmZFUnJuakN0dkQ3cTlOTEZseUFVdDlkbDFTVDA0aHA4CnQvWEFVUDJrNkxyNDJRdkJ0RWc3VFpHWkFMSnk0R2lTMy8rME1PTXJlTGI1Z0RkSDkxMUU1dndybXlOM3VDQ0oKTGNtZWhQSHZRYm5hVVQ0a2h3aWQwd0FwM0k2eEJiQ2k0TWhTRndJREFRQUJBb0lCQUN0dzloTHJ6akpGaDFWZgpOSkVRTkFFVFpCTm8zRC9FLzNjaTlPdkE1MFdLWE5VVVlmMi9vQy90cndjZ1hRWXlGUm5GeTVqYnRaYzZZUjBxCkZ4WlNOeVJBSGVBUUpsL1FBSEt6YStHSXE5eUNBNXdiWVBFR0txSUZYOGdMWk9QaWUvNTlYT2pVcnI2UzdRcEsKV0tLUVVOUk1DZ1JaUTBjeDFzSmdDeExxTTV1T0VkVDVLcGNiaE9BR042TGNVNkduRWEvcjlnUitUL2tIenA4QgpEdVZsNmREcHNGUjFyTmNsbGVXMkJLNmlMd2x6LzR0TmhROUxMY3lkSEswdHI0VWtKZVp2YTFEWFM1RWNUeTRQCkY5MzVJLzhqNTQvYlZ0ZjJQMFdpSUJ2ZFRaWnp5cjVPWG5nMDlPZUN3bTdwd2JjSVlhRDV4YXROdjRxYVR1ci8KY0I1R3RBRUNnWUVBeTZwekptQWZNZkxmOWUrSHZnTDRBK0M1cndFQVJhcllnUFlsTjJER0hrVFZNK2c1eW5YaQpUVHJEdlRZbUhqTmtiUUorOE14U09pRHZjK2Z1VHJWRzRUamE1Slk3YlJ1eFVVdHRRa2MzWk9UWFdzWXlzUWJICmRxbDBLU0RrcGdCdmZSMndxblp2V2JSR09rQ05sdmRpYUZKT0t4cUduWjc3NU9PTnVmNzRRUWNDZ1lFQTBFQXQKNXp2ZDhzYnZJOFBzQ1pmZlFYM1o1TWgzYytDVUhVTzQ4Mkc5QUx1L2tiRWhPL1JxVVJuck5DanJlWU9zWDliVQovSGwxelZkMStvRGlLcE1IZEJ2RDFubFM0MDY0TURTMW9BUEtxZjFFN0EySEN5cVZJZTZMbGRnKzh2VElkYzRHCmovV0RqR0JKMUs2RXI0NGx2SXNWWnpRaUpXSGxYZTV2dkJxdDhuRUNnWUF2OEVUK2FXMnVVaDdKUXNKT3hXQWYKZVl2N1YxNzdCd1hEQlMwcFpjdjhYL05YTG5nNzRaZU0yaUlzclV3M201MHQwNEtScDJaTGJHa3dmUTBvMVo2RApjT0NGSVorSFJSZHRyVFZnZm1iWmhzdngvK2o2cGovWS9IWHRJR0x4ZC9UR0hIRHpEc0dTK2MzMTlDL2Zzd2NrCnl3cS9OcFV0RUxqMTNXSUV2N0VyalFLQmdRQ014alhCa0ZpeTJ3T2hPN245cWlxRFRSM1VhQ2RIcjlLd0RhMmkKNkxrcEc4R2VMUXo0U0hydUpBVTVGMGhHdGxuNTEzSFcwZ3h1S09kWjFYSU5zYUppUExxZjZ4ZTdET1c1d0lmZQppWEdnZzlMcGR5T0l5dHBSTzc0a0p6QTJjSDVxRkVHZll5bnY1TTlEOUUxQmwyZXZFcDMvUytDaFFKSWFjeW9aCkVEZnlJUUtCZ0JXUGRELzhSTFhVWm9oV2FnTy9uMHRBUnlLMnladTA4RWFjcENXV2ZFNUdUZzF1cnVTNTdhT0IKMU1KeTFQNElnODJhVml4T291bkR3d2xzSHBjNXlHdVNBTERvYklkRnJoMHJVYVZLTTJZMDN1VzFBRnhzcnFFQQpWc0t0aUQ3WjMrRzM1cmFwRTkrcDhoR0EzaVF6eHl3YWdtRUI0Sm9WU0MxbHZJekc1ME1XCi0tLS0tRU5EIFJTQSBQUklWQVRFIEtFWS0tLS0tCg==

下一步会将 cat $KUBECONFIG 输出内容复制到 computinginstance.yaml 文件中，注意复制前需要在每行前添加四个空格

修改 /data/mingdao/script/kubernetes/computinginstance.yaml 文件

首次部署时，computinginstance.yaml 文件中以下几点务必修改

kafka.brokers：修改为微服务连接的 kafka 地址
syncStatus.mongoUri：# 修改为实际的 mongodb 连接信息
image：修改为与微服务相同的 computinginstance 版本号
kubeconfig.yaml：修改为 $KUBECONFIG 实际的内容，务必注意需要在 $KUBECONFIG 原始内容每行前添加四个空格

修改样例：

apiVersion: v1
kind: ConfigMap
metadata:
  name: computinginstance
  namespace: default
data:
  config.yaml: |-
    server:
      listen:
        host: "0.0.0.0"
        port: "9157"
    common:
      kubernetes:
        configFile: "/usr/local/computinginstance/kubeconfig.yaml"
        namespace: "default"
        configmapTemplate: "/usr/local/computinginstance/configmap-workflowcompute.yaml"
        deploymentTemplate: "/usr/local/computinginstance/deployment-workflowcompute.yaml"
      kafka:
        brokers: "192.168.0.144:9092"  # 修改为微服务连接的 kafka 地址
        workflowTopicPrefix: "WorkFlow-"
        workSheetTopicPrefix: "WorkSheet-"
        workflowConsumerIdPrefix: "md-workflow-consumer-"
        replicationFactor: 1
        deleteTopic: true
      callback:
        url: "http://computingschedule:9158"
        createInterval: 120000 #ms
        deleteInterval: 120000 #ms
      syncStatus:
        mongoUri: "mongodb://mingdao:123456@192.168.0.144:27017/mdIdentification"  # 修改为实际的 mongodb 连接信息
        interval: 30000 # ms
      model:
        10:
          replicas: 1     # 实例数量
          thread: 2       # 表示单个种类线程数量，总数=5*thread*replicas=10
          cpu: 2          # 单个实例最大CPU核，总数=cpu*replicas=2
          memory: 4       # 单个实例最大内存GB，，总数=memory*replicas=4
        20:
          replicas: 1
          thread: 4
          cpu: 4
          memory: 8
        50:
          replicas: 1
          thread: 10
          cpu: 8
          memory: 16
        100:
          replicas: 1
          thread: 20
          cpu: 16
          memory: 32

  configmap-workflowcompute.yaml: |-
    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: workflowcompute
    data:
      application-www-computing.properties: |-
        md.resource.consumer.config.maps={\
          'resourceId': 'CONFIGMAP_INSTANCEID', \
          'wfTopic': 'WorkFlow-CONFIGMAP_INSTANCEID', \
          'wsTopic': 'WorkSheet-CONFIGMAP_INSTANCEID', \
          'partition': 'CONFIGMAP_WORKFLOW_PARTITION' \
        }
        md.kafka.consumer.topic=WorkSheet-CONFIGMAP_INSTANCEID
        md.kafka.consumer.group.id=md-workflow-consumer-CONFIGMAP_INSTANCEID
        md.kafka.consumer.concurrency=CONFIGMAP_WORKFLOW_THREAD
        md.kafka.batch.topic=WorkSheet-CONFIGMAP_INSTANCEID
        md.kafka.batch.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.batch.topic=WorkFlow-CONFIGMAP_INSTANCEID
        spring.kafka.batch.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.button.topic=WorkFlow-CONFIGMAP_INSTANCEID
        spring.kafka.button.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.process.topic=WorkFlow-CONFIGMAP_INSTANCEID
        spring.kafka.process.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.consumer.topic=WorkFlow-CONFIGMAP_INSTANCEID
        spring.kafka.consumer.group.id=md-workflow-consumer-CONFIGMAP_INSTANCEID
        spring.kafka.consumer.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.properties.partition=CONFIGMAP_WORKFLOW_PARTITION
        grpc.client.MDWorksheetService.address=static://127.0.0.1:9422
        spring.kafka.router.topic=WorkFlow-CONFIGMAP_INSTANCEID

  deployment-workflowcompute.yaml: |-
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: workflowcompute-DEPLOYMENT_INSTANCEID
      labels:
        app: workflowcompute-DEPLOYMENT_INSTANCEID
        md-service: workflowcompute
    spec:
      replicas: DEPLOYMENT_REPLICAS
      selector:
        matchLabels:
          app: workflowcompute-DEPLOYMENT_INSTANCEID
      template:
        metadata:
          labels:
            app: workflowcompute-DEPLOYMENT_INSTANCEID
            md-service: workflowcompute
          annotations:
            md-update: '20231228184263'
        spec:
          imagePullSecrets:
          - name: hub.mingdao.com
          tolerations:
            - key: "md"
              operator: "Equal"
              value: "workflowcompute"
              effect: "NoSchedule"
          nodeSelector:
            md: workflowcompute
          containers:
            - name: workflow-consumer
              image: registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4  # computinginstance 镜像版本号
              env:
              - name: ENV_SERVERID
                value: "single:workflowconsumer"
              command:
                - sh
                - -c
                - |
                  cp /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties.template /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  sed -i s/CONFIGMAP_INSTANCEID/DEPLOYMENT_INSTANCEID/g /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  sed -i s/CONFIGMAP_WORKFLOW_THREAD/DEPLOYMENT_WORKFLOW_THREAD/g /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  sed -i s/CONFIGMAP_WORKFLOW_PARTITION/DEPLOYMENT_WORKFLOW_PARTITION/g /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  cat /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  sleep 20
                  exec /Housekeeper/main -config /Housekeeper/config.yaml
              resources:
                limits:
                  memory: DEPLOYMENT_MEMORYGi
                  cpu: DEPLOYMENT_CPU
                requests:
                  memory: 1Gi
                  cpu: 0.25
              volumeMounts:
                - name: tz-config
                  mountPath: /etc/localtime
                - name: workflowcompute
                  mountPath: /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties.template
                  subPath: application-www-computing.properties
            - name: worksheetservice
              image: registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4  # computinginstance 镜像版本号
              env:
              - name: ENV_SERVERID
                value: "single:worksheet"
              command:
                - sh
                - -c
                - |
                  cat /usr/local/MDPrivateDeployment/worksheet/Config/appsettingsMain.json
                  exec /Housekeeper/main -config /Housekeeper/config.yaml
              resources:
                limits:
                  memory: DEPLOYMENT_MEMORYGi
                  cpu: DEPLOYMENT_CPU
                requests:
                  memory: 1Gi
                  cpu: 0.25
              readinessProbe:
                tcpSocket:
                  port: 9422
                initialDelaySeconds: 10
                periodSeconds: 10
              livenessProbe:
                tcpSocket:
                  port: 9422
                initialDelaySeconds: 60
                periodSeconds: 10
              volumeMounts:
                - name: tz-config
                  mountPath: /etc/localtime
          volumes:
            - name: tz-config
              hostPath:
                path: /usr/share/zoneinfo/Etc/GMT-8
            - name: workflowcompute
              configMap:
                name: workflowcompute
                items:
                - key: application-www-computing.properties
                  path: application-www-computing.properties

  kubeconfig.yaml: |-    # 将下方修改为 $KUBECONFIG 实际的内容，注意需要在 $KUBECONFIG 原始内容每行前添加四个空格
    apiVersion: v1
    clusters:
    - cluster:
        certificate-authority-data: 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
        server: https://192.168.0.150:6443
      name: kubernetes
    contexts:
    - context:
        cluster: kubernetes
        user: kubernetes-admin
      name: kubernetes-admin@kubernetes
    current-context: kubernetes-admin@kubernetes
    kind: Config
    preferences: {}
    users:
    - name: kubernetes-admin
      user:
        client-certificate-data: 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
        client-key-data: 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
---

apiVersion: apps/v1
kind: Deployment
metadata:
  name: computinginstance
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      app: computinginstance
  template:
    metadata:
      labels:
        app: computinginstance
        dir: grpc
      annotations:
        md-update: "20231228184309"
    spec:
      imagePullSecrets: 
      - name: hub.mingdao.com
      containers:
      - name: computinginstance 
        image: registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4  # computinginstance 镜像版本号
        resources:
          limits:
            cpu: "2"
            memory: 2G
          requests:
            cpu: "0.01"
            memory: 128M
        readinessProbe:
          tcpSocket:
            port: 9157
          initialDelaySeconds: 3
          periodSeconds: 3
        livenessProbe:
          tcpSocket:
            port: 9157
          initialDelaySeconds: 20
          periodSeconds: 10
        volumeMounts:
        - name: configfile
          mountPath: /usr/local/computinginstance/config.yaml
          subPath: config.yaml
        - name: configfile
          mountPath: /usr/local/computinginstance/configmap-workflowcompute.yaml
          subPath: configmap-workflowcompute.yaml
        - name: configfile
          mountPath: /usr/local/computinginstance/deployment-workflowcompute.yaml
          subPath: deployment-workflowcompute.yaml
        - name: configfile
          mountPath: /usr/local/computinginstance/kubeconfig.yaml
          subPath: kubeconfig.yaml
        - name: tz-config
          mountPath: /etc/localtime
      volumes:
      - name: tz-config
        hostPath:
          path: /usr/share/zoneinfo/Asia/Shanghai
      - name: configfile
        configMap:
          name: computinginstance
          items:
          - key: config.yaml
            path: config.yaml
          - key: configmap-workflowcompute.yaml
            path: configmap-workflowcompute.yaml
          - key: deployment-workflowcompute.yaml
            path: deployment-workflowcompute.yaml
          - key: kubeconfig.yaml
            path: kubeconfig.yaml

---

apiVersion: v1
kind: Service
metadata:
  name: computinginstance
  namespace: default
spec:
  selector:
    app: computinginstance
  ports:
  - name: http-computinginstance
    port: 9157
    targetPort: 9157
    nodePort: 9157
  type: NodePort

重启服务

cd /data/mingdao/script/kubernetes/
bash restart.sh

修改 /data/mingdao/script/kubernetes/start.sh

baseDir=$(dirname $0)

kubectl apply -f $baseDir/config.yaml
sleep 30
kubectl apply -f $baseDir/service.yaml
kubectl apply -f $baseDir/datapipeline.yaml
kubectl apply -f $baseDir/wps.yaml
kubectl apply -f $baseDir/computinginstance.yaml   # 新增这行 
sleep 180
kubectl apply -f $baseDir/www.yaml

修改 /data/mingdao/script/kubernetes/stop.sh

baseDir=$(dirname $0)

kubectl delete -f $baseDir/www.yaml
kubectl delete -f $baseDir/service.yaml
kubectl delete -f $baseDir/datapipeline.yaml
kubectl delete -f $baseDir/wps.yaml
kubectl delete -f $baseDir/computinginstance.yaml   # 新增这行
kubectl delete -f $baseDir/config.yaml

修改 /data/mingdao/script/kubernetes/update.sh

baseDir=$(dirname $0)
imagePrefix="registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-"

function replaceEnv() {
    local key=$1
    local value=$2
    local file=$3
    sed -i "/$key/ s#\".*\"#\"$value\"#" $file
}

function replaceAppVersion() {
    local version=$1
    replaceEnv ENV_APP_VERSION $version $baseDir/config.yaml
}

function update() {
    local service=$1
    local version=$2
    sed -r -i "/$(echo -n "${imagePrefix}$service" | sed -n 's#/#\\/#g;p')/ s/$service:.*$/$service:$version/" $baseDir/config.yaml
    sed -r -i "/$(echo -n "${imagePrefix}$service" | sed -n 's#/#\\/#g;p')/ s/$service:.*$/$service:$version/" $baseDir/service.yaml
    sed -r -i "/$(echo -n "${imagePrefix}$service" | sed -n 's#/#\\/#g;p')/ s/$service:.*$/$service:$version/" $baseDir/datapipeline.yaml
    sed -r -i "/$(echo -n "${imagePrefix}$service" | sed -n 's#/#\\/#g;p')/ s/$service:.*$/$service:$version/" $baseDir/wps.yaml
    # 下面一行新增
    sed -r -i "/$(echo -n "${imagePrefix}computinginstance" | sed -n 's#/#\\/#g;p')/ s/computinginstance:.*$/computinginstance:$version/" $baseDir/computinginstance.yaml  # 本行属于新增
    sed -r -i "/$(echo -n "${imagePrefix}$service" | sed -n 's#/#\\/#g;p')/ s/$service:.*$/$service:$version/" $baseDir/www.yaml
    echo "Note: The version number of the ${service} service has been changed to ${version}, it will take effect after restart"
}

case $1 in
    update)
        if [[ $# -ne 3 ]];then
            echo "Update the specific service version number, format example: $baseDir/$scriptName update hap 3.1.0"
            exit 1
        fi
        update $2 $3
        replaceAppVersion $3
        echo "Restarting services..."
        /bin/bash $baseDir/restart.sh
        # 下面四行属于新增
        echo "Updating workflowcompute instance...: $3"  # 本行属于新增
        curl -XPOST '127.0.0.1:9157/instance/update' -d '{"ContainerName": "workflow-consumer", "Image": "'${imagePrefix}computinginstance:$3'"}' -H 'Content-Type: application/json'  # 本行属于新增
        sleep 5  # 本行属于新增
        curl -XPOST '127.0.0.1:9157/instance/update' -d '{"ContainerName": "worksheetservice", "Image": "'${imagePrefix}computinginstance:$3'"}}' -H 'Content-Type: application/json'  # 本行属于新增
    ;;
    *)
        echo "Usage:
        $0 <$(sed -n '/case \$1/,/esac/p' $0 | grep -oP '\b\w+\)$' | tr -d ')' | paste -s -d '|')>"
    ;;
esac

执行 cat $KUBECONFIG 获取 $KUBECONFIG 内容（对应 kubernetes 的 /etc/kubernetes/admin.conf 文件）

cat $KUBECONFIG

输出样例：

apiVersion: v1
clusters:
- cluster:
    certificate-authority-data: LS0tLS1CRUdJTiBDRVJUSUZJQ0FURS0tLS0tCk1JSUMvakNDQWVhZ0F3SUJBZ0lCQURBTkJna3Foa2lHOXcwQkFRc0ZBREFWTVJNd0VRWURWUVFERXdwcmRXSmwKY201bGRHVnpNQjRYRFRJME1ERXlPVEE1TXpRMU5Wb1hEVE0wTURFeU5qQTVNelExTlZvd0ZURVRNQkVHQTFVRQpBeE1LYTNWaVpYSnVaWFJsY3pDQ0FTSXdEUVlKS29aSWh2Y05BUUVCQlFBRGdnRVBBRENDQVFvQ2dnRUJBTjR3CklsY3RBNzhlTlRPZWJOK1RoUXdDL29SamtKMlJMeUlVZ2dncU1MSWlxWWpEbytqczNKbkdpNVU4cUIrZ3RlV1AKRDhTUEVlVUd0ZmNOOHoxTzlqK0Q1aFB3dkRPRDFyV2k3OEpnZWI3SURtdkU4L1VMdWdIYldkajlTckcrWTVEYwpDakQrcFduWHAzQUkzdjhwbm45a1ZJZ2Z3RldFcFVGQWI4Y2h0WSt3MU11ZjVhNVlhSTJ3NWtwOXhVS1lmV0g0CkFWUnlCUUFFVU5TUjE1Y3EyZ3Z2WDVTT1ZXUU0xcFJYNG1jcHovZ0toZ1pCYTBoSHZJaGRIRFBxQ0o0bUNYak4KbzgrWDYzNWZ4S3JPYTV4NTFhemVJMTljeE5lOXh0V25JdDUzLzJtWVlkYjIzWVI5UDRCK3U5NWVheWZWU2JwZQo4amhvdW1qVXFoSmNHMFdiY1pNQ0F3RUFBYU5aTUZjd0RnWURWUjBQQVFIL0JBUURBZ0trTUE4R0ExVWRFd0VCCi93UUZNQU1CQWY4d0hRWURWUjBPQkJZRUZHMW1zZ01jVDBoOVpZbVlJU2pZK2wyNFRERFJNQlVHQTFVZEVRUU8KTUF5Q0NtdDFZbVZ5Ym1WMFpYTXdEUVlKS29aSWh2Y05BUUVMQlFBRGdnRUJBSHFXUDhnVDFJbXBpL1M4NVIzQwpzU0Y2V0NISFFscU5uOTh3UHdhR0dEcmFZQnUwbnhSeFk5Q243cHk3TytzZ2hLeDRpLzR5N3ZKYi84MXZWTEx2CklORGhxL2N2enp1WWtHQ0J1QStXcFVMZmhneHFsb0F4MjF3eWNScCtUTlZ5UnphNXpmUkt6RUZiZml0WU1LQk0KNkVhZmk3d3lma2twNDBDYzFoKzJMM3N4WG1sSDUyaXA4REx3WDJGVEVXRjE3VnE5WTBRdXZDcGpBSUlnY09aSgpGQjNCMHhiK0ZsUGsxZC9vakNHSzVOdDd6Z2VWQmN1VkhGSUhITSs5eWQ0dHJCVVViR05vVCszWVJXU0hxTGJECml3LzdQVDU2SFpheHA1VmUvN2p1cTZEbkRIYXQ5ZW9Idk5acEcvNUJMUW1SWUUyOFNaU3lvUnd5V3pUMkpTb24KOE8wPQotLS0tLUVORCBDRVJUSUZJQ0FURS0tLS0tCg==
    server: https://192.168.0.150:6443
  name: kubernetes
contexts:
- context:
    cluster: kubernetes
    user: kubernetes-admin
  name: kubernetes-admin@kubernetes
current-context: kubernetes-admin@kubernetes
kind: Config
preferences: {}
users:
- name: kubernetes-admin
  user:
    client-certificate-data: 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
    client-key-data: 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

下一步会将 cat $KUBECONFIG 输出内容复制到 computinginstance.yaml 文件中，注意复制前需要在每行前添加四个空格

新增 /data/mingdao/script/kubernetes/computinginstance.yaml 文件

首次部署时，computinginstance.yaml 文件中以下几点务必修改

kafka.brokers：修改为微服务连接的 kafka 地址
syncStatus.mongoUri：# 修改为实际的 mongodb 连接信息
image：修改为与微服务相同的 computinginstance 版本号
kubeconfig.yaml：修改为 $KUBECONFIG 实际的内容，务必注意需要在 $KUBECONFIG 原始内容每行前添加四个空格

computinginstance.yaml 文件样例：

apiVersion: v1
kind: ConfigMap
metadata:
  name: computinginstance
  namespace: default
data:
  config.yaml: |-
    server:
      listen:
        host: "0.0.0.0"
        port: "9157"
    common:
      kubernetes:
        configFile: "/usr/local/computinginstance/kubeconfig.yaml"
        namespace: "default"
        configmapTemplate: "/usr/local/computinginstance/configmap-workflowcompute.yaml"
        deploymentTemplate: "/usr/local/computinginstance/deployment-workflowcompute.yaml"
      kafka:
        brokers: "192.168.0.144:9092"  # 修改为微服务连接的 kafka 地址
        workflowTopicPrefix: "WorkFlow-"
        workSheetTopicPrefix: "WorkSheet-"
        workflowConsumerIdPrefix: "md-workflow-consumer-"
        replicationFactor: 1
        deleteTopic: true
      callback:
        url: "http://computingschedule:9158"
        createInterval: 120000 #ms
        deleteInterval: 120000 #ms
      syncStatus:
        mongoUri: "mongodb://mingdao:123456@192.168.0.144:27017/mdIdentification"  # 修改为实际的 mongodb 连接信息
        interval: 30000 # ms
      model:
        10:
          replicas: 1     # 实例数量
          thread: 2       # 表示单个种类线程数量，总数=5*thread*replicas=10
          cpu: 2          # 单个实例最大CPU核，总数=cpu*replicas=2
          memory: 4       # 单个实例最大内存GB，，总数=memory*replicas=4
        20:
          replicas: 1
          thread: 4
          cpu: 4
          memory: 8
        50:
          replicas: 1
          thread: 10
          cpu: 8
          memory: 16
        100:
          replicas: 1
          thread: 20
          cpu: 16
          memory: 32

  configmap-workflowcompute.yaml: |-
    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: workflowcompute
    data:
      application-www-computing.properties: |-
        md.resource.consumer.config.maps={\
          'resourceId': 'CONFIGMAP_INSTANCEID', \
          'wfTopic': 'WorkFlow-CONFIGMAP_INSTANCEID', \
          'wsTopic': 'WorkSheet-CONFIGMAP_INSTANCEID', \
          'partition': 'CONFIGMAP_WORKFLOW_PARTITION' \
        }
        md.kafka.consumer.topic=WorkSheet-CONFIGMAP_INSTANCEID
        md.kafka.consumer.group.id=md-workflow-consumer-CONFIGMAP_INSTANCEID
        md.kafka.consumer.concurrency=CONFIGMAP_WORKFLOW_THREAD
        md.kafka.batch.topic=WorkSheet-CONFIGMAP_INSTANCEID
        md.kafka.batch.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.batch.topic=WorkFlow-CONFIGMAP_INSTANCEID
        spring.kafka.batch.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.button.topic=WorkFlow-CONFIGMAP_INSTANCEID
        spring.kafka.button.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.process.topic=WorkFlow-CONFIGMAP_INSTANCEID
        spring.kafka.process.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.consumer.topic=WorkFlow-CONFIGMAP_INSTANCEID
        spring.kafka.consumer.group.id=md-workflow-consumer-CONFIGMAP_INSTANCEID
        spring.kafka.consumer.concurrency=CONFIGMAP_WORKFLOW_THREAD
        spring.kafka.properties.partition=CONFIGMAP_WORKFLOW_PARTITION
        grpc.client.MDWorksheetService.address=static://127.0.0.1:9422
        spring.kafka.router.topic=WorkFlow-CONFIGMAP_INSTANCEID

  deployment-workflowcompute.yaml: |-
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: workflowcompute-DEPLOYMENT_INSTANCEID
      labels:
        app: workflowcompute-DEPLOYMENT_INSTANCEID
        md-service: workflowcompute
    spec:
      replicas: DEPLOYMENT_REPLICAS
      selector:
        matchLabels:
          app: workflowcompute-DEPLOYMENT_INSTANCEID
      template:
        metadata:
          labels:
            app: workflowcompute-DEPLOYMENT_INSTANCEID
            md-service: workflowcompute
          annotations:
            md-update: '20231228184263'
        spec:
          imagePullSecrets:
          - name: hub.mingdao.com
          tolerations:
            - key: "md"
              operator: "Equal"
              value: "workflowcompute"
              effect: "NoSchedule"
          nodeSelector:
            md: workflowcompute
          containers:
            - name: workflow-consumer
              image: registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4  # computinginstance 镜像版本号
              env:
              - name: ENV_SERVERID
                value: "single:workflowconsumer"
              command:
                - sh
                - -c
                - |
                  cp /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties.template /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  sed -i s/CONFIGMAP_INSTANCEID/DEPLOYMENT_INSTANCEID/g /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  sed -i s/CONFIGMAP_WORKFLOW_THREAD/DEPLOYMENT_WORKFLOW_THREAD/g /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  sed -i s/CONFIGMAP_WORKFLOW_PARTITION/DEPLOYMENT_WORKFLOW_PARTITION/g /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  cat /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties
                  sleep 20
                  exec /Housekeeper/main -config /Housekeeper/config.yaml
              resources:
                limits:
                  memory: DEPLOYMENT_MEMORYGi
                  cpu: DEPLOYMENT_CPU
                requests:
                  memory: 1Gi
                  cpu: 0.25
              volumeMounts:
                - name: tz-config
                  mountPath: /etc/localtime
                - name: workflowcompute
                  mountPath: /usr/local/MDPrivateDeployment/workflowconsumer/application-www-computing.properties.template
                  subPath: application-www-computing.properties
            - name: worksheetservice
              image: registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4  # computinginstance 镜像版本号
              env:
              - name: ENV_SERVERID
                value: "single:worksheet"
              command:
                - sh
                - -c
                - |
                  cat /usr/local/MDPrivateDeployment/worksheet/Config/appsettingsMain.json
                  exec /Housekeeper/main -config /Housekeeper/config.yaml
              resources:
                limits:
                  memory: DEPLOYMENT_MEMORYGi
                  cpu: DEPLOYMENT_CPU
                requests:
                  memory: 1Gi
                  cpu: 0.25
              readinessProbe:
                tcpSocket:
                  port: 9422
                initialDelaySeconds: 10
                periodSeconds: 10
              livenessProbe:
                tcpSocket:
                  port: 9422
                initialDelaySeconds: 60
                periodSeconds: 10
              volumeMounts:
                - name: tz-config
                  mountPath: /etc/localtime
          volumes:
            - name: tz-config
              hostPath:
                path: /usr/share/zoneinfo/Etc/GMT-8
            - name: workflowcompute
              configMap:
                name: workflowcompute
                items:
                - key: application-www-computing.properties
                  path: application-www-computing.properties

  kubeconfig.yaml: |-    # 将下方修改为 $KUBECONFIG 实际的内容，注意需要在 $KUBECONFIG 原始内容每行前添加四个空格
    apiVersion: v1
    clusters:
    - cluster:
        certificate-authority-data: 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
        server: https://192.168.0.150:6443
      name: kubernetes
    contexts:
    - context:
        cluster: kubernetes
        user: kubernetes-admin
      name: kubernetes-admin@kubernetes
    current-context: kubernetes-admin@kubernetes
    kind: Config
    preferences: {}
    users:
    - name: kubernetes-admin
      user:
        client-certificate-data: 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
        client-key-data: LS0tLS1CRUdJTiBSU0EgUFJJVkFURSBLRVktLS0tLQpNSUlFb3dJQkFBS0NBUUVBcGEyTXNPUmQ0cnl2MWF0S25HK2c2YlJISWdvK2xFZC9Pakk4U1VPQVZaaVdLTWNqCkVpTzVNemRJeFplbzI0UjFjMHB5M3J6L1ZDUWQ2RlN1ZkpBcnQyaHZGRHMxb1hjdlBGendsSkVmaW5UTWZHalYKd2FlOTI0ZmtqTXkwNTh3SkVuNURUMlhrb3hCaHI4aEVYUmdnQWxaQy9Ed3VQN2Y4QXJrckwvMDhvU25hYVpubApWSkpNT2pac3lUUEIycVNNdmx6WHVnbm9JbXhCWGRzSmZFUnJuakN0dkQ3cTlOTEZseUFVdDlkbDFTVDA0aHA4CnQvWEFVUDJrNkxyNDJRdkJ0RWc3VFpHWkFMSnk0R2lTMy8rME1PTXJlTGI1Z0RkSDkxMUU1dndybXlOM3VDQ0oKTGNtZWhQSHZRYm5hVVQ0a2h3aWQwd0FwM0k2eEJiQ2k0TWhTRndJREFRQUJBb0lCQUN0dzloTHJ6akpGaDFWZgpOSkVRTkFFVFpCTm8zRC9FLzNjaTlPdkE1MFdLWE5VVVlmMi9vQy90cndjZ1hRWXlGUm5GeTVqYnRaYzZZUjBxCkZ4WlNOeVJBSGVBUUpsL1FBSEt6YStHSXE5eUNBNXdiWVBFR0txSUZYOGdMWk9QaWUvNTlYT2pVcnI2UzdRcEsKV0tLUVVOUk1DZ1JaUTBjeDFzSmdDeExxTTV1T0VkVDVLcGNiaE9BR042TGNVNkduRWEvcjlnUitUL2tIenA4QgpEdVZsNmREcHNGUjFyTmNsbGVXMkJLNmlMd2x6LzR0TmhROUxMY3lkSEswdHI0VWtKZVp2YTFEWFM1RWNUeTRQCkY5MzVJLzhqNTQvYlZ0ZjJQMFdpSUJ2ZFRaWnp5cjVPWG5nMDlPZUN3bTdwd2JjSVlhRDV4YXROdjRxYVR1ci8KY0I1R3RBRUNnWUVBeTZwekptQWZNZkxmOWUrSHZnTDRBK0M1cndFQVJhcllnUFlsTjJER0hrVFZNK2c1eW5YaQpUVHJEdlRZbUhqTmtiUUorOE14U09pRHZjK2Z1VHJWRzRUamE1Slk3YlJ1eFVVdHRRa2MzWk9UWFdzWXlzUWJICmRxbDBLU0RrcGdCdmZSMndxblp2V2JSR09rQ05sdmRpYUZKT0t4cUduWjc3NU9PTnVmNzRRUWNDZ1lFQTBFQXQKNXp2ZDhzYnZJOFBzQ1pmZlFYM1o1TWgzYytDVUhVTzQ4Mkc5QUx1L2tiRWhPL1JxVVJuck5DanJlWU9zWDliVQovSGwxelZkMStvRGlLcE1IZEJ2RDFubFM0MDY0TURTMW9BUEtxZjFFN0EySEN5cVZJZTZMbGRnKzh2VElkYzRHCmovV0RqR0JKMUs2RXI0NGx2SXNWWnpRaUpXSGxYZTV2dkJxdDhuRUNnWUF2OEVUK2FXMnVVaDdKUXNKT3hXQWYKZVl2N1YxNzdCd1hEQlMwcFpjdjhYL05YTG5nNzRaZU0yaUlzclV3M201MHQwNEtScDJaTGJHa3dmUTBvMVo2RApjT0NGSVorSFJSZHRyVFZnZm1iWmhzdngvK2o2cGovWS9IWHRJR0x4ZC9UR0hIRHpEc0dTK2MzMTlDL2Zzd2NrCnl3cS9OcFV0RUxqMTNXSUV2N0VyalFLQmdRQ014alhCa0ZpeTJ3T2hPN245cWlxRFRSM1VhQ2RIcjlLd0RhMmkKNkxrcEc4R2VMUXo0U0hydUpBVTVGMGhHdGxuNTEzSFcwZ3h1S09kWjFYSU5zYUppUExxZjZ4ZTdET1c1d0lmZQppWEdnZzlMcGR5T0l5dHBSTzc0a0p6QTJjSDVxRkVHZll5bnY1TTlEOUUxQmwyZXZFcDMvUytDaFFKSWFjeW9aCkVEZnlJUUtCZ0JXUGRELzhSTFhVWm9oV2FnTy9uMHRBUnlLMnladTA4RWFjcENXV2ZFNUdUZzF1cnVTNTdhT0IKMU1KeTFQNElnODJhVml4T291bkR3d2xzSHBjNXlHdVNBTERvYklkRnJoMHJVYVZLTTJZMDN1VzFBRnhzcnFFQQpWc0t0aUQ3WjMrRzM1cmFwRTkrcDhoR0EzaVF6eHl3YWdtRUI0Sm9WU0MxbHZJekc1ME1XCi0tLS0tRU5EIFJTQSBQUklWQVRFIEtFWS0tLS0tCg==
---

apiVersion: apps/v1
kind: Deployment
metadata:
  name: computinginstance
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      app: computinginstance
  template:
    metadata:
      labels:
        app: computinginstance
        dir: grpc
      annotations:
        md-update: "20231228184309"
    spec:
      imagePullSecrets: 
      - name: hub.mingdao.com
      containers:
      - name: computinginstance 
        image: registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4  # computinginstance 镜像版本号
        resources:
          limits:
            cpu: "2"
            memory: 2G
          requests:
            cpu: "0.01"
            memory: 128M
        readinessProbe:
          tcpSocket:
            port: 9157
          initialDelaySeconds: 3
          periodSeconds: 3
        livenessProbe:
          tcpSocket:
            port: 9157
          initialDelaySeconds: 20
          periodSeconds: 10
        volumeMounts:
        - name: configfile
          mountPath: /usr/local/computinginstance/config.yaml
          subPath: config.yaml
        - name: configfile
          mountPath: /usr/local/computinginstance/configmap-workflowcompute.yaml
          subPath: configmap-workflowcompute.yaml
        - name: configfile
          mountPath: /usr/local/computinginstance/deployment-workflowcompute.yaml
          subPath: deployment-workflowcompute.yaml
        - name: configfile
          mountPath: /usr/local/computinginstance/kubeconfig.yaml
          subPath: kubeconfig.yaml
        - name: tz-config
          mountPath: /etc/localtime
      volumes:
      - name: tz-config
        hostPath:
          path: /usr/share/zoneinfo/Asia/Shanghai
      - name: configfile
        configMap:
          name: computinginstance
          items:
          - key: config.yaml
            path: config.yaml
          - key: configmap-workflowcompute.yaml
            path: configmap-workflowcompute.yaml
          - key: deployment-workflowcompute.yaml
            path: deployment-workflowcompute.yaml
          - key: kubeconfig.yaml
            path: kubeconfig.yaml

---

apiVersion: v1
kind: Service
metadata:
  name: computinginstance
  namespace: default
spec:
  selector:
    app: computinginstance
  ports:
  - name: http-computinginstance
    port: 9157
    targetPort: 9157
    nodePort: 9157
  type: NodePort

重启服务

cd /data/mingdao/script/kubernetes/
bash restart.sh

验证

获取 default 命名空间下获取所有以 workflowcompute- 和 computinginstance 开头的 deployments

ns="default"

deployments=$(kubectl -n $ns get deployments -o jsonpath='{.items[*].metadata.name}' | tr ' ' '\n' | grep '^workflowcompute-\|computinginstance')

for deploy in $deployments
do
  echo "Namespace: $ns, Deployment: $deploy"
  
  # 获取并打印 deployment 的镜像
  kubectl -n $ns get deployment $deploy -o jsonpath='{.spec.template.spec.containers[*].image}'
  echo
done

输出示例：

Namespace: default, Deployment: computinginstance
registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4
Namespace: default, Deployment: workflowcompute-7e4wf0fea4ho
registry.cn-hangzhou.aliyuncs.com/mdpublic/mingdaoyun-computinginstance:7.2.4

workflowcompute- 开头的 deployment 只有在页面上创建了专属算力资源后才会有

查看污点是否生效

kubectl get pod -o wide | grep workflowcompute-

正常应为容器运行在专属算力的节点上

查看 kafka

/usr/local/kafka/bin/kafka-consumer-groups.sh --bootstrap-server ${ENV_KAFKA_ENDPOINTS:=127.0.0.1:9092} --describe --group md-workflow-consumer-7e4wf0fea4ho

这里以资源 ID 为 7e4wf0fea4ho 为例

配置专属算力服务器​

加入到 kubernetes 集群​

下载镜像​

添加污点及标签​

部署专属算力服务​

验证​

配置专属算力服务器

加入到 kubernetes 集群

下载镜像

添加污点及标签

部署专属算力服务

验证