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  • kubernetes yaml

    pod 

    apiVersion: v1            #指定api版本,此值必须在kubectl apiversion中  
    kind: Pod                 #指定创建资源的角色/类型  
    metadata:                 #资源的元数据/属性  
      name: web04-pod         #资源的名字,在同一个namespace中必须唯一  
      labels:                 #设定资源的标签,详情请见http://blog.csdn.net/liyingke112/article/details/77482384
        k8s-app: apache  
        version: v1  
        kubernetes.io/cluster-service: "true"  
      annotations:            #自定义注解列表  
        - name: String        #自定义注解名字  
    spec:                     #specification of the resource content 指定该资源的内容  
      restartPolicy: Always   #表明该容器一直运行,默认k8s的策略,在此容器退出后,会立即创建一个相同的容器  
      nodeSelector:           #节点选择,先给主机打标签kubectl label nodes kube-node1 zone=node1  
        zone: node1  
      containers:  
      - name: web04-pod       #容器的名字  
        image: web:apache     #容器使用的镜像地址  
        imagePullPolicy: Never #三个选择Always、Never、IfNotPresent,每次启动时检查和更新(从registery)images的策略,
                               # Always,每次都检查
                               # Never,每次都不检查(不管本地是否有)
                               # IfNotPresent,如果本地有就不检查,如果没有就拉取
        command: ['sh']      #启动容器的运行命令,将覆盖容器中的Entrypoint,对应Dockefile中的ENTRYPOINT  例如 ["python","main.py","${type}"]
        args: ["$(str)"]     #启动容器的命令参数,对应Dockerfile中CMD参数  
        env:                 #指定容器中的环境变量  
        - name: str          #变量的名字  
          value: "/etc/run.sh" #变量的值  
        resources:           #资源管理,请求请见http://blog.csdn.net/liyingke112/article/details/77452630  #如果用不到可以删掉
          requests:          #容器运行时,最低资源需求,也就是说最少需要多少资源容器才能正常运行  
            cpu: 0.1         #CPU资源(核数),两种方式,浮点数或者是整数+m,0.1=100m,最少值为0.001核(1m)
            memory: 32Mi     #内存使用量  
          limits:            #资源限制     
            cpu: 0.5  
            memory: 32Mi  
        ports:  
        - containerPort: 80  #容器开发对外的端口
          name: httpd        #名称
          protocol: TCP  
        livenessProbe:       #pod内容器健康检查的设置,详情请见http://blog.csdn.net/liyingke112/article/details/77531584
          httpGet:           #通过httpget检查健康,返回200-399之间,则认为容器正常  
            path: /          #URI地址  
            port: 80  
                             #host: 127.0.0.1 #主机地址  
            scheme: HTTP  
          initialDelaySeconds: 180 #表明第一次检测在容器启动后多长时间后开始  
          timeoutSeconds: 5 #检测的超时时间  
          periodSeconds: 15  #检查间隔时间  
          #也可以用这种方法  
          #exec: 执行命令的方法进行监测,如果其退出码不为0,则认为容器正常  
          #  command:  
          #    - cat  
          #    - /tmp/health  
          #也可以用这种方法  
          #tcpSocket: //通过tcpSocket检查健康   
          #  port: number   
        lifecycle: #生命周期管理  
          postStart: #容器运行之前运行的任务  
            exec:  
              command:  
                - 'sh'  
                - 'yum upgrade -y'  
          preStop:#容器关闭之前运行的任务  
            exec:  
              command: ['service httpd stop']  
        volumeMounts:          #详情请见http://blog.csdn.net/liyingke112/article/details/76577520
        - name: volume         #挂载设备的名字,与volumes[*].name 需要对应    
          mountPath: /data     #挂载到容器的某个路径下  
          readOnly: True  
      volumes: #定义一组挂载设备 声明这是一个卷 
      - name: volume #定义一个挂载设备的名字  
        #meptyDir: {}  
        hostPath:  
          path: /opt #挂载设备类型为hostPath,路径为宿主机下的/opt,这里设备类型支持很多种 

    job 

    {
      "apiVersion": "batch/v1",
      "kind": "Job",
      "metadata": {
        "name": "${jobName}",
        "namespace": "dataproc",
        "labels": {
          "app": "seldon",
          "ksonnet.io/component": "antispam"
        },
        "annotations": {
          "batch_version": "v1",
          "project_name": "antispam"
        }
      },
      "spec": {
        "template": {
          "spec": {
            "containers": [
              {
                "name": "antispam",
                "image": "${image}",
                "command": ["python", "main.py",  "${thres}", "${projectTag}"],
                "env": [
                  {
                    "name": "PROCESS_NUM",
                    "value": "1"
                   },
                  {
                    "name": "DP_DISABLE_HEALTHCHECKS",
                    "value": "xids"
                   }
                ],
                "resources": {
                  "limits": {
                    "nvidia.com/gpu": "1"
                  }
                },
                "imagePullPolicy": "Always",
                "volumeMounts": [
                  {
                    "mountPath": "/usr/local/nvidia/bin",
                    "name": "bin"
                  },
                  {
                    "mountPath": "/usr/lib/nvidia",
                    "name": "lib"
                  },
                  {
                    "mountPath": "/usr/lib/x86_64-linux-gnu/libcuda.so",
                    "name": "libcuda-so"
                  },
                  {
                    "mountPath": "/usr/lib/x86_64-linux-gnu/libcuda.so.1",
                    "name": "libcuda-so-1"
                  },
                  {
                    "mountPath": "/images",
                    "name": "source-data-storage"
                  },
                  {
                    "mountPath": "/data",
                    "name": "result-data-storage"
                  }
                ]
              }
            ],
            "imagePullSecrets": [
              {
                "name": "regcred-secret"
              }
            ],
            "volumes": [
              {
                "name": "bin",
                "hostPath": {
                  "path": "/usr/lib/nvidia-384/bin"
                }
              },
              {
                "name": "lib",
                "hostPath": {
                  "path": "/usr/lib/nvidia-384"
                }
              },
              {
                "name": "libcuda-so",
                "hostPath": {
                  "path": "/usr/lib/x86_64-linux-gnu/libcuda.so"
                }
              },
              {
                "name": "libcuda-so-1",
                "hostPath": {
                  "path": "/usr/lib/x86_64-linux-gnu/libcuda.so.1"
                }
              },
              {
                "name": "source-data-storage",
                "flexVolume": {
                  "driver": "fstab/cifs",
                  "fsType": "cifs",
                  "secretRef": {
                    "name": "${cifsSecretRef}"
                  },
                  "options": {
                    "networkPath": "${inputPath}",
                    "mountOptions": ""
                  }
                }
              },
              {
                "name": "result-data-storage",
                "flexVolume": {
                  "driver": "fstab/cifs",
                  "fsType": "cifs",
                  "secretRef": {
                    "name": "${cifsSecretRef}"
                  },
                  "options": {
                    "networkPath": "${resultPath}",
                    "mountOptions": ""
                  }
                }
              }
            ],
            "restartPolicy": "Never"
          }
        }
      }
    }

    secret

    {
      "apiVersion": "v1",
      "kind": "Secret",
      "metadata": {
        "name": "${cifsSecretRef}",
        "namespace": "dataproc"
      },
      "type": "fstab/cifs",
      "data": {
        "username": "${username}",
        "password": "${password}"
      }
    }
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  • 原文地址:https://www.cnblogs.com/liusouthern/p/12068773.html
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