在GCE上设置环境变量（kubernetes）

很抱歉我的问题，但是 它说：

要使用Elasticsearch和Kibana进行集群日志记录，应设置 如下所示的环境变量：

在何处以及如何设置此环境变量？我在想我应该用

gcloud container clusters create   

---

并在那里传递选项，但没有选项…

该文档适用于通过GCE的开源shell脚本打开集群的用户。Elasticsearch目前不支持作为Google容器引擎集群创建命令的一部分。创建集群后，可以手动将其添加到集群中

如Robert的回答中所述，如果集群应该在Google容器引擎（GKE）上运行，则需要手动添加Elasticsearch/Kibana堆栈。使用本文中给出的信息，我能够让它执行以下步骤：

在没有云日志记录的情况下启动GKE集群

gcloud container --project <PROJECT_ID> clusters create <CLUSTER_ID> --no-enable-cloud-logging

fluentd es.yaml

apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
  name: fluentd-elasticsearch
  namespace: kube-system
  labels:
    app: fluentd-logging

spec:
  template:
    metadata:
      labels:
        app: fluentd-es
    spec:
      containers:
      - name: fluentd-elasticsearch
        image: gcr.io/google_containers/fluentd-elasticsearch:1.15
        resources:
          limits:
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 200Mi
        volumeMounts:
        - name: varlog
          mountPath: /var/log
        - name: varlibdockercontainers
          mountPath: /var/lib/docker/containers
          readOnly: true
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlibdockercontainers
        hostPath:
          path: /var/lib/docker/containers

apiVersion: v1
kind: ReplicationController
metadata:
  name: elasticsearch-logging-v1
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    version: v1
spec:
  replicas: 2
  selector:
    k8s-app: elasticsearch-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: elasticsearch-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - image: gcr.io/google_containers/elasticsearch:1.8
        name: elasticsearch-logging
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        ports:
        - containerPort: 9200
          name: db
          protocol: TCP
        - containerPort: 9300
          name: transport
          protocol: TCP
        volumeMounts:
        - name: es-persistent-storage
          mountPath: /data
      volumes:
      - name: es-persistent-storage
        emptyDir: {}

apiVersion: v1
kind: Service
metadata:
  name: elasticsearch-logging
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    kubernetes.io/name: "Elasticsearch"
spec:
  ports:
  - port: 9200
    protocol: TCP
    targetPort: db
  selector:
    k8s-app: elasticsearch-logging

apiVersion: v1
kind: ReplicationController
metadata:
  name: kibana-logging-v1
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    version: v1
spec:
  replicas: 1
  selector:
    k8s-app: kibana-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: kibana-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - name: kibana-logging
        image: gcr.io/google_containers/kibana:1.3
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        env:
          - name: "ELASTICSEARCH_URL"
            value: "http://elasticsearch-logging:9200"
        ports:
        - containerPort: 5601
          name: ui
          protocol: TCP

apiVersion: v1
kind: Service
metadata:
  name: kibana-logging
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    kubernetes.io/name: "Kibana"
spec:
  ports:
  - port: 5601
    protocol: TCP
    targetPort: ui
  selector:
    k8s-app: kibana-logging

添加elasticsearch和kibana吊舱和服务

kubectl create -f es-controller.yaml
kubectl create -f es-service.yaml
kubectl create -f kibana-controller.yaml
kubectl create -f kibana-service.yaml

请注意下面的

kubernetes.io/cluster-service:“true”

标签（存在 在原件中）已删除。 定义中有此标签导致运行吊舱终止

es控制器。yaml

apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
  name: fluentd-elasticsearch
  namespace: kube-system
  labels:
    app: fluentd-logging

spec:
  template:
    metadata:
      labels:
        app: fluentd-es
    spec:
      containers:
      - name: fluentd-elasticsearch
        image: gcr.io/google_containers/fluentd-elasticsearch:1.15
        resources:
          limits:
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 200Mi
        volumeMounts:
        - name: varlog
          mountPath: /var/log
        - name: varlibdockercontainers
          mountPath: /var/lib/docker/containers
          readOnly: true
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlibdockercontainers
        hostPath:
          path: /var/lib/docker/containers

apiVersion: v1
kind: ReplicationController
metadata:
  name: elasticsearch-logging-v1
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    version: v1
spec:
  replicas: 2
  selector:
    k8s-app: elasticsearch-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: elasticsearch-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - image: gcr.io/google_containers/elasticsearch:1.8
        name: elasticsearch-logging
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        ports:
        - containerPort: 9200
          name: db
          protocol: TCP
        - containerPort: 9300
          name: transport
          protocol: TCP
        volumeMounts:
        - name: es-persistent-storage
          mountPath: /data
      volumes:
      - name: es-persistent-storage
        emptyDir: {}

apiVersion: v1
kind: Service
metadata:
  name: elasticsearch-logging
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    kubernetes.io/name: "Elasticsearch"
spec:
  ports:
  - port: 9200
    protocol: TCP
    targetPort: db
  selector:
    k8s-app: elasticsearch-logging

apiVersion: v1
kind: ReplicationController
metadata:
  name: kibana-logging-v1
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    version: v1
spec:
  replicas: 1
  selector:
    k8s-app: kibana-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: kibana-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - name: kibana-logging
        image: gcr.io/google_containers/kibana:1.3
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        env:
          - name: "ELASTICSEARCH_URL"
            value: "http://elasticsearch-logging:9200"
        ports:
        - containerPort: 5601
          name: ui
          protocol: TCP

apiVersion: v1
kind: Service
metadata:
  name: kibana-logging
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    kubernetes.io/name: "Kibana"
spec:
  ports:
  - port: 5601
    protocol: TCP
    targetPort: ui
  selector:
    k8s-app: kibana-logging

es服务。yaml

apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
  name: fluentd-elasticsearch
  namespace: kube-system
  labels:
    app: fluentd-logging

spec:
  template:
    metadata:
      labels:
        app: fluentd-es
    spec:
      containers:
      - name: fluentd-elasticsearch
        image: gcr.io/google_containers/fluentd-elasticsearch:1.15
        resources:
          limits:
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 200Mi
        volumeMounts:
        - name: varlog
          mountPath: /var/log
        - name: varlibdockercontainers
          mountPath: /var/lib/docker/containers
          readOnly: true
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlibdockercontainers
        hostPath:
          path: /var/lib/docker/containers

apiVersion: v1
kind: ReplicationController
metadata:
  name: elasticsearch-logging-v1
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    version: v1
spec:
  replicas: 2
  selector:
    k8s-app: elasticsearch-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: elasticsearch-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - image: gcr.io/google_containers/elasticsearch:1.8
        name: elasticsearch-logging
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        ports:
        - containerPort: 9200
          name: db
          protocol: TCP
        - containerPort: 9300
          name: transport
          protocol: TCP
        volumeMounts:
        - name: es-persistent-storage
          mountPath: /data
      volumes:
      - name: es-persistent-storage
        emptyDir: {}

apiVersion: v1
kind: Service
metadata:
  name: elasticsearch-logging
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    kubernetes.io/name: "Elasticsearch"
spec:
  ports:
  - port: 9200
    protocol: TCP
    targetPort: db
  selector:
    k8s-app: elasticsearch-logging

apiVersion: v1
kind: ReplicationController
metadata:
  name: kibana-logging-v1
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    version: v1
spec:
  replicas: 1
  selector:
    k8s-app: kibana-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: kibana-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - name: kibana-logging
        image: gcr.io/google_containers/kibana:1.3
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        env:
          - name: "ELASTICSEARCH_URL"
            value: "http://elasticsearch-logging:9200"
        ports:
        - containerPort: 5601
          name: ui
          protocol: TCP

apiVersion: v1
kind: Service
metadata:
  name: kibana-logging
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    kubernetes.io/name: "Kibana"
spec:
  ports:
  - port: 5601
    protocol: TCP
    targetPort: ui
  selector:
    k8s-app: kibana-logging

kibana controller.yaml

apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
  name: fluentd-elasticsearch
  namespace: kube-system
  labels:
    app: fluentd-logging

spec:
  template:
    metadata:
      labels:
        app: fluentd-es
    spec:
      containers:
      - name: fluentd-elasticsearch
        image: gcr.io/google_containers/fluentd-elasticsearch:1.15
        resources:
          limits:
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 200Mi
        volumeMounts:
        - name: varlog
          mountPath: /var/log
        - name: varlibdockercontainers
          mountPath: /var/lib/docker/containers
          readOnly: true
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlibdockercontainers
        hostPath:
          path: /var/lib/docker/containers

apiVersion: v1
kind: ReplicationController
metadata:
  name: elasticsearch-logging-v1
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    version: v1
spec:
  replicas: 2
  selector:
    k8s-app: elasticsearch-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: elasticsearch-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - image: gcr.io/google_containers/elasticsearch:1.8
        name: elasticsearch-logging
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        ports:
        - containerPort: 9200
          name: db
          protocol: TCP
        - containerPort: 9300
          name: transport
          protocol: TCP
        volumeMounts:
        - name: es-persistent-storage
          mountPath: /data
      volumes:
      - name: es-persistent-storage
        emptyDir: {}

apiVersion: v1
kind: Service
metadata:
  name: elasticsearch-logging
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    kubernetes.io/name: "Elasticsearch"
spec:
  ports:
  - port: 9200
    protocol: TCP
    targetPort: db
  selector:
    k8s-app: elasticsearch-logging

apiVersion: v1
kind: ReplicationController
metadata:
  name: kibana-logging-v1
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    version: v1
spec:
  replicas: 1
  selector:
    k8s-app: kibana-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: kibana-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - name: kibana-logging
        image: gcr.io/google_containers/kibana:1.3
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        env:
          - name: "ELASTICSEARCH_URL"
            value: "http://elasticsearch-logging:9200"
        ports:
        - containerPort: 5601
          name: ui
          protocol: TCP

apiVersion: v1
kind: Service
metadata:
  name: kibana-logging
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    kubernetes.io/name: "Kibana"
spec:
  ports:
  - port: 5601
    protocol: TCP
    targetPort: ui
  selector:
    k8s-app: kibana-logging

kibana服务.yaml

apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
  name: fluentd-elasticsearch
  namespace: kube-system
  labels:
    app: fluentd-logging

spec:
  template:
    metadata:
      labels:
        app: fluentd-es
    spec:
      containers:
      - name: fluentd-elasticsearch
        image: gcr.io/google_containers/fluentd-elasticsearch:1.15
        resources:
          limits:
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 200Mi
        volumeMounts:
        - name: varlog
          mountPath: /var/log
        - name: varlibdockercontainers
          mountPath: /var/lib/docker/containers
          readOnly: true
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlibdockercontainers
        hostPath:
          path: /var/lib/docker/containers

apiVersion: v1
kind: ReplicationController
metadata:
  name: elasticsearch-logging-v1
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    version: v1
spec:
  replicas: 2
  selector:
    k8s-app: elasticsearch-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: elasticsearch-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - image: gcr.io/google_containers/elasticsearch:1.8
        name: elasticsearch-logging
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        ports:
        - containerPort: 9200
          name: db
          protocol: TCP
        - containerPort: 9300
          name: transport
          protocol: TCP
        volumeMounts:
        - name: es-persistent-storage
          mountPath: /data
      volumes:
      - name: es-persistent-storage
        emptyDir: {}

apiVersion: v1
kind: Service
metadata:
  name: elasticsearch-logging
  namespace: kube-system
  labels:
    k8s-app: elasticsearch-logging
    kubernetes.io/name: "Elasticsearch"
spec:
  ports:
  - port: 9200
    protocol: TCP
    targetPort: db
  selector:
    k8s-app: elasticsearch-logging

apiVersion: v1
kind: ReplicationController
metadata:
  name: kibana-logging-v1
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    version: v1
spec:
  replicas: 1
  selector:
    k8s-app: kibana-logging
    version: v1
  template:
    metadata:
      labels:
        k8s-app: kibana-logging
        version: v1
        kubernetes.io/cluster-service: "true"
    spec:
      containers:
      - name: kibana-logging
        image: gcr.io/google_containers/kibana:1.3
        resources:
          limits:
            cpu: 100m
          requests:
            cpu: 100m
        env:
          - name: "ELASTICSEARCH_URL"
            value: "http://elasticsearch-logging:9200"
        ports:
        - containerPort: 5601
          name: ui
          protocol: TCP

apiVersion: v1
kind: Service
metadata:
  name: kibana-logging
  namespace: kube-system
  labels:
    k8s-app: kibana-logging
    kubernetes.io/name: "Kibana"
spec:
  ports:
  - port: 5601
    protocol: TCP
    targetPort: ui
  selector:
    k8s-app: kibana-logging

创建kubectl代理

kubectl proxy

和kibana一起看你的日志

---

你知道有没有可能运行两个版本的fluentd，@Harry Haller。麋鹿1只，GCL 1只。