GKE環境でfluentd + elasticsearch + kibanaでログ環境を構築してみる

もっとkubernetesと仲良くなりたい今日この頃です。
ログの管理をkibanaで行いたいとおもい色々とやっていましたが、
なかなか手こずったのでこちらに記載しておきます。

# cluster-admin権限をつける

```
$ kubectl create clusterrolebinding owner-cluster-admin-binding \
    --clusterrole cluster-admin \
    --user [gcpの権限を持っているメールアドレス]
```

owner-cluster-admin-binding任意です。

このcluster-adminを付けないで今後の作業をしようとすると

``` 
Error from server (Forbidden): error when creating "fluentd-deamonset.yml": clusterroles.rbac.authorization.k8s.io "fluentd-es" is forbidden: attempt to grant extra privileges
```

このようなエラーで弾かれてしまいます
IAMに権限がないと作成ができないかと思います。

# elasticsearchの作成

```yaml:elasticsearch.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: elasticsearch-pvc
  namespace: default
  labels:
    kubernetes.io/cluster-service: "true"
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 5Gi

---
apiVersion: v1
kind: Service
metadata:
  name: elasticsearch
  namespace: default
spec:
  selector:
    app: elasticsearch
  ports:
  - protocol: TCP
    port: 9200
    targetPort: http
  type: "LoadBalancer"
  loadBalancerIP: ""

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: elasticsearch
  namespace: default
  labels:
    app: elasticsearch
spec:
  replicas: 1
  selector:
    matchLabels:
      app: elasticsearch
  template:
    metadata:
      labels:
        app: elasticsearch
    spec:
      containers:
      - name: elasticsearch
        image: elasticsearch:5.6-alpine
        ports:
        - containerPort: 9200
          name: http
        volumeMounts:
        - mountPath: /data
          name: elasticsearch-pvc
        - mountPath: /usr/share/elasticsearch/config
          name: elasticsearch-config
        resources:
          requests:
            memory: "512Mi"
            cpu: "500m"
          limits:
            memory: "1024Mi"
            cpu: "750m"
      volumes:
      - name: elasticsearch-pvc
        persistentVolumeClaim:
          claimName: elasticsearch-pvc
      - name: elasticsearch-config
        configMap:
          name: elasticsearch-config

---
kind: ConfigMap
apiVersion: v1
metadata:
  name: elasticsearch-config
  namespace: default
data:
  elasticsearch.yml: |-
    http.host: 0.0.0.0
    path.scripts: /tmp/scripts

  log4j2.properties: |-
    status = error

    appender.console.type = Console
    appender.console.name = console
    appender.console.layout.type = PatternLayout
    appender.console.layout.pattern = [%d{ISO8601}][%-5p][%-25c{1.}] %marker%m%n

    rootLogger.level = info
    rootLogger.appenderRef.console.ref = console

  jvm.options: |-
    -Xms512m
    -Xmx1024m
    -XX:+UseConcMarkSweepGC
    -XX:CMSInitiatingOccupancyFraction=75
    -XX:+UseCMSInitiatingOccupancyOnly
    -XX:+AlwaysPreTouch
    -server
    -Xss1m
    -Djava.awt.headless=true
    -Dfile.encoding=UTF-8
    -Djna.nosys=true
    -Djdk.io.permissionsUseCanonicalPath=true
    -Dio.netty.noUnsafe=true
    -Dio.netty.noKeySetOptimization=true
    -Dio.netty.recycler.maxCapacityPerThread=0
    -Dlog4j.shutdownHookEnabled=false
    -Dlog4j2.disable.jmx=true
    -Dlog4j.skipJansi=true
    -XX:+HeapDumpOnOutOfMemoryError
```

## もしもこんなエラーが出た場合

```
Exception in thread "main" org.elasticsearch.bootstrap.BootstrapException: java.nio.file.AccessDeniedException: /etc/elasticsearch/elasticsearch.keystore
```

ファイル権限がおかしいのかと思い色々としらべましたが、そうではなくノードのメモリが足りない事が原因でした。
現在ノードプールのスペックをCUP:4 Mem:15Gのインスタンスに変更した所問題なく稼働しています。
Elasticsearchは800Mほどメモリを食うのそれ以上に要求されても問題ないスペックにしておきましょう。

podの要求するメモリがノードに足りな場合はOOMKillerでpodが殺されてしまい、
起動を繰り返します

## IPの確認をしておく

```
>>> get services elasticsearch
NAME            TYPE           CLUSTER-IP    EXTERNAL-IP     PORT(S)          AGE
elasticsearch   LoadBalancer  *.*.*.*   35.**.**.**   9200:32619/TCP   34m
```

EXTERNAL-IPはメモっておきます

# fluentdの作成

## Configmapの作成

```yaml:fluentd-configmap.yml
kind: ConfigMap
apiVersion: v1
metadata:
  name: fluentd-es-config-v0.1.5
  namespace: default
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
data:
  system.conf: |-
    <system>
      root_dir /tmp/fluentd-buffers/
    </system>
  containers.input.conf: |-
    <source>
      @id fluentd-containers.log
      @type tail
      path /var/log/containers/*.log
      pos_file /var/log/es-containers.log.pos
      tag raw.kubernetes.*
      read_from_head true
      <parse>
        @type multi_format
        <pattern>
          format json
          time_key time
          time_format %Y-%m-%dT%H:%M:%S.%NZ
        </pattern>
        <pattern>
          format /^(?<time>.+) (?<stream>stdout|stderr) [^ ]* (?<log>.*)$/
          time_format %Y-%m-%dT%H:%M:%S.%N%:z
        </pattern>
      </parse>
    </source>
    # Detect exceptions in the log output and forward them as one log entry.
    <match raw.kubernetes.**>
      @id raw.kubernetes
      @type detect_exceptions
      remove_tag_prefix raw
      message log
      stream stream
      multiline_flush_interval 5
      max_bytes 500000
      max_lines 1000
    </match>
  system.input.conf: |-
    # Example:
    # 2015-12-21 23:17:22,066 [salt.state       ][INFO    ] Completed state [net.ipv4.ip_forward] at time 23:17:22.066081
    <source>
      @id minion
      @type tail
      format /^(?<time>[^ ]* [^ ,]*)[^\[]*\[[^\]]*\]\[(?<severity>[^ \]]*) *\] (?<message>.*)$/
      time_format %Y-%m-%d %H:%M:%S
      path /var/log/salt/minion
      pos_file /var/log/salt.pos
      tag salt
    </source>
    # Example:
    # Dec 21 23:17:22 gke-foo-1-1-4b5cbd14-node-4eoj startupscript: Finished running startup script /var/run/google.startup.script
    <source>
      @id startupscript.log
      @type tail
      format syslog
      path /var/log/startupscript.log
      pos_file /var/log/es-startupscript.log.pos
      tag startupscript
    </source>
    # Examples:
    # time="2016-02-04T06:51:03.053580605Z" level=info msg="GET /containers/json"
    # time="2016-02-04T07:53:57.505612354Z" level=error msg="HTTP Error" err="No such image: -f" statusCode=404
    # TODO(random-liu): Remove this after cri container runtime rolls out.
    <source>
      @id docker.log
      @type tail
      format /^time="(?<time>[^)]*)" level=(?<severity>[^ ]*) msg="(?<message>[^"]*)"( err="(?<error>[^"]*)")?( statusCode=($<status_code>\d+))?/
      path /var/log/docker.log
      pos_file /var/log/es-docker.log.pos
      tag docker
    </source>
    # Example:
    # 2016/02/04 06:52:38 filePurge: successfully removed file /var/etcd/data/member/wal/00000000000006d0-00000000010a23d1.wal
    <source>
      @id etcd.log
      @type tail
      # Not parsing this, because it doesn't have anything particularly useful to
      # parse out of it (like severities).
      format none
      path /var/log/etcd.log
      pos_file /var/log/es-etcd.log.pos
      tag etcd
    </source>
    # Multi-line parsing is required for all the kube logs because very large log
    # statements, such as those that include entire object bodies, get split into
    # multiple lines by glog.
    # Example:
    # I0204 07:32:30.020537    3368 server.go:1048] POST /stats/container/: (13.972191ms) 200 [[Go-http-client/1.1] 10.244.1.3:40537]
    <source>
      @id kubelet.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kubelet.log
      pos_file /var/log/es-kubelet.log.pos
      tag kubelet
    </source>
    # Example:
    # I1118 21:26:53.975789       6 proxier.go:1096] Port "nodePort for kube-system/default-http-backend:http" (:31429/tcp) was open before and is still needed
    <source>
      @id kube-proxy.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-proxy.log
      pos_file /var/log/es-kube-proxy.log.pos
      tag kube-proxy
    </source>
    # Example:
    # I0204 07:00:19.604280       5 handlers.go:131] GET /api/v1/nodes: (1.624207ms) 200 [[kube-controller-manager/v1.1.3 (linux/amd64) kubernetes/6a81b50] 127.0.0.1:38266]
    <source>
      @id kube-apiserver.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-apiserver.log
      pos_file /var/log/es-kube-apiserver.log.pos
      tag kube-apiserver
    </source>
    # Example:
    # I0204 06:55:31.872680       5 servicecontroller.go:277] LB already exists and doesn't need update for service kube-system/kube-ui
    <source>
      @id kube-controller-manager.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-controller-manager.log
      pos_file /var/log/es-kube-controller-manager.log.pos
      tag kube-controller-manager
    </source>
    # Example:
    # W0204 06:49:18.239674       7 reflector.go:245] pkg/scheduler/factory/factory.go:193: watch of *api.Service ended with: 401: The event in requested index is outdated and cleared (the requested history has been cleared [2578313/2577886]) [2579312]
    <source>
      @id kube-scheduler.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/kube-scheduler.log
      pos_file /var/log/es-kube-scheduler.log.pos
      tag kube-scheduler
    </source>
    # Example:
    # I0603 15:31:05.793605       6 cluster_manager.go:230] Reading config from path /etc/gce.conf
    <source>
      @id glbc.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/glbc.log
      pos_file /var/log/es-glbc.log.pos
      tag glbc
    </source>
    # Example:
    # I0603 15:31:05.793605       6 cluster_manager.go:230] Reading config from path /etc/gce.conf
    <source>
      @id cluster-autoscaler.log
      @type tail
      format multiline
      multiline_flush_interval 5s
      format_firstline /^\w\d{4}/
      format1 /^(?<severity>\w)(?<time>\d{4} [^\s]*)\s+(?<pid>\d+)\s+(?<source>[^ \]]+)\] (?<message>.*)/
      time_format %m%d %H:%M:%S.%N
      path /var/log/cluster-autoscaler.log
      pos_file /var/log/es-cluster-autoscaler.log.pos
      tag cluster-autoscaler
    </source>
    # Logs from systemd-journal for interesting services.
    # TODO(random-liu): Remove this after cri container runtime rolls out.
    <source>
      @id journald-docker
      @type systemd
      matches [{ "_SYSTEMD_UNIT": "docker.service" }]
      <storage>
        @type local
        persistent true
        path /var/log/journald-docker.pos
      </storage>
      read_from_head true
      tag docker
    </source>
    <source>
      @id journald-container-runtime
      @type systemd
      matches [{ "_SYSTEMD_UNIT": "{{ container_runtime }}.service" }]
      <storage>
        @type local
        persistent true
        path /var/log/journald-container-runtime.pos
      </storage>
      read_from_head true
      tag container-runtime
    </source>
    <source>
      @id journald-kubelet
      @type systemd
      matches [{ "_SYSTEMD_UNIT": "kubelet.service" }]
      <storage>
        @type local
        persistent true
        path /var/log/journald-kubelet.pos
      </storage>
      read_from_head true
      tag kubelet
    </source>
    <source>
      @id journald-node-problem-detector
      @type systemd
      matches [{ "_SYSTEMD_UNIT": "node-problem-detector.service" }]
      <storage>
        @type local
        persistent true
        path /var/log/journald-node-problem-detector.pos
      </storage>
      read_from_head true
      tag node-problem-detector
    </source>
    <source>
      @id kernel
      @type systemd
      matches [{ "_TRANSPORT": "kernel" }]
      <storage>
        @type local
        persistent true
        path /var/log/kernel.pos
      </storage>
      <entry>
        fields_strip_underscores true
        fields_lowercase true
      </entry>
      read_from_head true
      tag kernel
    </source>
  forward.input.conf: |-
    # Takes the messages sent over TCP
    <source>
      @type forward
    </source>
  monitoring.conf: |-
    # Prometheus Exporter Plugin
    # input plugin that exports metrics
    <source>
      @type prometheus
    </source>
    <source>
      @type monitor_agent
    </source>
    # input plugin that collects metrics from MonitorAgent
    <source>
      @type prometheus_monitor
      <labels>
        host ${hostname}
      </labels>
    </source>
    # input plugin that collects metrics for output plugin
    <source>
      @type prometheus_output_monitor
      <labels>
        host ${hostname}
      </labels>
    </source>
    # input plugin that collects metrics for in_tail plugin
    <source>
      @type prometheus_tail_monitor
      <labels>
        host ${hostname}
      </labels>
    </source>
  output.conf: |-
    # Enriches records with Kubernetes metadata
    <filter kubernetes.**>
      @type kubernetes_metadata
    </filter>
    <filter kubernetes.var.log.containers.myapp**.log>
      @type parser
      @id myapp_filter
      key_name log
      reserve_data true
      remove_key_name_field true
      #<parse>
      #  @type regexp
      #  expression /^(?<level>[^ ]*)[ \t]+\[(?<time>[^\]]*)\] \[(?<thread>[^\]]*)\] \[(?<request>[^\]]*)\] (?<class>[^ ]*): (?<message>.*)$/
      #  time_format %Y-%m-%d %H:%M:%S,%L %z
      #</parse>
      <parse>
        @type multiline
        format_firstline /^[A-Z]/
        format1 /^(?<level>[^ ]*)[ \t]+\[(?<time>[^\]]*)\] \[(?<thread>[^\]]*)\] \[(?<request>[^\]]*)\] (?<class>[^ ]*): (?<message>.*)$/
        time_format %Y-%m-%d %H:%M:%S,%L %z
      </parse>
    </filter>
     <match kubelet>
        @type elasticsearch_dynamic
        @id kubelet_out_es
        log_level info
        include_tag_key true
        host "#{ENV['FLUENT_ELASTICSEARCH_HOST']}"
        port "#{ENV['FLUENT_ELASTICSEARCH_PORT']}"
        scheme "#{ENV['FLUENT_ELASTICSEARCH_SCHEME'] || 'http'}"
        ssl_verify "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERIFY'] || 'true'}"
        reload_connections "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_CONNECTIONS'] || 'true'}"
        index_name fluentd-${tag_parts[0]+ "-" + Time.at(time).getlocal("+05:30").strftime(@logstash_dateformat)}
        include_timestamp true
        #logstash_prefix "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_PREFIX'] || 'logstash'}"
        #logstash_format true
        <buffer>
          flush_thread_count 8
          flush_interval 5s
          chunk_limit_size 4M
          queue_limit_length 32
          retry_max_interval 30
          retry_forever true
        </buffer>
     </match>
     <match kube-apiserver>
        @type elasticsearch_dynamic
        @id apiserver_out_es
        log_level info
        include_tag_key true
        host "#{ENV['FLUENT_ELASTICSEARCH_HOST']}"
        port "#{ENV['FLUENT_ELASTICSEARCH_PORT']}"
        scheme "#{ENV['FLUENT_ELASTICSEARCH_SCHEME'] || 'http'}"
        ssl_verify "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERIFY'] || 'true'}"
        reload_connections "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_CONNECTIONS'] || 'true'}"
        index_name fluentd-${tag_parts[0]+ "-" + Time.at(time).getlocal("+05:30").strftime(@logstash_dateformat)}
        include_timestamp true
        #logstash_prefix "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_PREFIX'] || 'logstash'}"
        #logstash_format true
        <buffer>
          flush_thread_count 8
          flush_interval 5s
          chunk_limit_size 4M
          queue_limit_length 32
          retry_max_interval 30
          retry_forever true
        </buffer>
     </match>
     <match **>
        @type copy
        <store>
          @type elasticsearch_dynamic
          @id out_es
          #log_level info
          include_tag_key true
          host "#{ENV['FLUENT_ELASTICSEARCH_HOST']}"
          port "#{ENV['FLUENT_ELASTICSEARCH_PORT']}"
          scheme "#{ENV['FLUENT_ELASTICSEARCH_SCHEME'] || 'http'}"
          ssl_verify "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERIFY'] || 'true'}"
          reload_connections "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_CONNECTIONS'] || 'true'}"
          index_name fluentd-${record['kubernetes']['container_name']}-${Time.at(time).getlocal("+05:30").strftime(@logstash_dateformat)}
          include_timestamp true
          #logstash_prefix "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_PREFIX'] || 'logstash'}"
          #logstash_format true
          <buffer>
            flush_thread_count 8
            flush_interval 5s
            chunk_limit_size 2M
            queue_limit_length 32
            retry_max_interval 30
            retry_forever true
          </buffer>
        </store>
        # <store>
        #   @type gcs
        #   @id out_gcs
        #   project mys-gcp-project-id
        #   keyfile /etc/fluent/gcp-creds.json
        #   bucket myapp-logs
        #   object_key_format %{path}%{time_slice}_%{index}.%{file_extension}
        #   path logs/${tag}/%Y/%m/%d/
        #   # if you want to use ${tag} or %Y/%m/%d/ like syntax in path / object_key_format,
        #   # need to specify tag for ${tag} and time for %Y/%m/%d in <buffer> argument.
        #   <buffer tag,time>
        #     @type file
        #     path /var/log/fluent/gcs
        #     timekey 1h # 1 hour partition
        #     timekey_wait 10m
        #     timekey_use_utc true # use utc
        #   </buffer>
        #   <format>
        #     @type json
        #   </format>
        # </store>
     </match>
```

## デーモンセットの作成

```yaml:fluentd-daemonset.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: fluentd-es
  namespace: default
  labels:
    k8s-app: fluentd-es
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: fluentd-es
  labels:
    k8s-app: fluentd-es
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
rules:
- apiGroups:
  - ""
  resources:
  - "namespaces"
  - "pods"
  verbs:
  - "get"
  - "watch"
  - "list"
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: fluentd-es
  labels:
    k8s-app: fluentd-es
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
subjects:
- kind: ServiceAccount
  name: fluentd-es
  namespace: default
  apiGroup: ""
roleRef:
  kind: ClusterRole
  name: fluentd-es
  apiGroup: ""
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: fluentd-es-v2.2.0
  namespace: default
  labels:
    k8s-app: fluentd-es
    version: v2.2.0
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  selector:
    matchLabels:
      k8s-app: fluentd-es
      version: v2.2.0
  template:
    metadata:
      labels:
        k8s-app: fluentd-es
        kubernetes.io/cluster-service: "true"
        version: v2.2.0
      # This annotation ensures that fluentd does not get evicted if the node
      # supports critical pod annotation based priority scheme.
      # Note that this does not guarantee admission on the nodes (#40573).
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ''
        seccomp.security.alpha.kubernetes.io/pod: 'docker/default'
    spec:
      priorityClassName: system-node-critical
      serviceAccountName: fluentd-es
      containers:
      - name: fluentd-es
        image: k8s.gcr.io/fluentd-elasticsearch:v2.2.0
        env:
        - name: FLUENTD_ARGS
          value: --no-supervisor -q -v
        - name:  FLUENT_ELASTICSEARCH_HOST
          value: "[ElasticSearchのIP]"
        - name:  FLUENT_ELASTICSEARCH_PORT
          value: "9200"
        - name: FLUENT_ELASTICSEARCH_SCHEME
          value: "tcp"
        resources:
          limits:
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 200Mi
        volumeMounts:
        - name: varlog
          mountPath: /var/log
        - name: varlibdockercontainers
          mountPath: /var/lib/docker/containers
          readOnly: true
        - name: config-volume
          mountPath: /etc/fluent/config.d
      nodeSelector:
        beta.kubernetes.io/fluentd-ds-ready: "true"
      terminationGracePeriodSeconds: 30
      imagePullSecrets:
      - name: regsecret
      volumes:
      - name: varlog
        hostPath:
          path: /var/log
      - name: varlibdockercontainers
        hostPath:
          path: /var/lib/docker/containers
      - name: config-volume
        configMap:
          name: fluentd-es-config-v0.1.5
```

ElasticSearchのIPはserviceを確認して変更してください
これでうごきましたClusterRoleBindingでエラーが出る場合は最初にやったcluster-admin権限が足りていないのだと思います。

# kibanaの作成

```
apiVersion: v1
kind: Service
metadata:
  name: kibana
  namespace: default
spec:
  selector:
    app: kibana
  ports:
  - protocol: TCP
    port: 5601
    targetPort: http
    nodePort: 30050
  type: "LoadBalancer"
  loadBalancerIP: ""

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: kibana
  namespace: default
  labels:
    app: kibana
spec:
  replicas: 1
  selector:
    matchLabels:
      app: kibana
  template:
    metadata:
      labels:
        app: kibana
    spec:
      containers:
      - name: kibana
        image: kibana:5.6
        ports:
        - containerPort: 5601
          name: http
        env:
        - name: ELASTICSEARCH_URL
          value: "http://[ElasticSearchのIP]:9200"
```

# 確認する

```
>>> get services
NAME            TYPE           CLUSTER-IP    EXTERNAL-IP     PORT(S)          AGE
*****-service   LoadBalancer   **.**.**.**   **.**.**.**   80:30298/TCP     3h
*****-service   LoadBalancer   **.**.**.**   **.**.**.**   80:30787/TCP     3h
elasticsearch   LoadBalancer   **.**.**.**   **.**.**.**   9200:32619/TCP   41m
kibana          LoadBalancer   **.**.**.**   **.**.**.**   5601:30050/TCP   11s
kubernetes      ClusterIP      10.0.0.1      <none>          443/TCP          3h
>>> get po
NAME                               READY     STATUS    RESTARTS   AGE
****-deployment-d968474b-hzxc   2/2       Running   0          3h
****-deployment-85cb7b496-5g    2/2       Running   0          3h
elasticsearch-7d7947fd-gdg5     1/1       Running   0          41m
fluentd-es-v2.2.0-l             1/1       Running   0          4m
>>> get configmaps
NAME                       DATA      AGE
elasticsearch-config       3         41m
fluentd-es-config-v0.1.5   6         4m
>>> get serviceaccounts
NAME         SECRETS   AGE
default      1         3h
fluentd-es   1         4m
>>> get persistentvolumeclaims
NAME                STATUS    VOLUME                                     CAPACITY   ACCESS MODES   STORAGECLASS   AGE
elasticsearch-pvc   Bound     pvc-f7201ef9-01c7-11e9-9f9a-a92018c   5Gi        RWO            standard       41m
>>>
```

![181217-0002.png](https://qiita-image-store.s3.amazonaws.com/0/42874/f8f5840b-4b46-ddc7-5256-7bd572fbbd5c.png)


まだnginxのログを整形していないのでこれから整形していきます。
マサカリなどお待ちしております。


# 参考
https://medium.com/@lestrrat/configuring-rbac-for-your-kubernetes-service-accounts-c348b64eb242
https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
https://github.com/elastic/elasticsearch/issues/26410
https://github.com/fluent/fluentd-kubernetes-daemonset/issues/14