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efk-addon-installation.md

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安装 EFK 插件

我们通过在每台 node 上部署一个以 DaemonSet 方式运行的 fluentd 来收集每台 node 上的日志。Fluentd 将 docker 日志目录 /var/lib/docker/containers 和 /var/log 目录挂载到 Pod 中，然后 Pod 会在 node 节点的 /var/log/pods 目录中创建新的目录，可以区别不同的容器日志输出，该目录下有一个日志文件链接到 /var/lib/docker/contianers 目录下的容器日志输出。

官方文件目录：cluster/addons/fluentd-elasticsearch

$ ls *.yaml
es-controller.yaml  es-service.yaml  fluentd-es-ds.yaml  kibana-controller.yaml  kibana-service.yaml efk-rbac.yaml

同样 EFK 服务也需要一个efk-rbac.yaml文件，配置 serviceaccount 为 efk。

已经修改好的 YAML 文件见：../manifests/EFK

配置 es-controller.yaml

$ diff es-controller.yaml.orig es-controller.yaml
24c24
<       - image: gcr.io/google_containers/elasticsearch:v2.4.1-2
---
>       - image: harbor-001.jimmysong.io/library/elasticsearch:v2.4.1-2

配置 es-service.yaml

无需配置。

配置 fluentd-es-ds.yaml

$ diff fluentd-es-ds.yaml.orig fluentd-es-ds.yaml
26c26
<         image: gcr.io/google_containers/fluentd-elasticsearch:1.22
---
>         image: harbor-001.jimmysong.io/library/fluentd-elasticsearch:1.22

配置 kibana-controller.yaml

$ diff kibana-controller.yaml.orig kibana-controller.yaml
22c22
<         image: gcr.io/google_containers/kibana:v4.6.1-1
---
>         image: harbor-001.jimmysong.io/library/kibana:v4.6.1-1

给 Node 设置标签

定义 DaemonSet fluentd-es-v1.22 时设置了 nodeSelector beta.kubernetes.io/fluentd-ds-ready=true ，所以需要在期望运行 fluentd 的 Node 上设置该标签；

$ kubectl get nodes
NAME        STATUS    AGE       VERSION
172.20.0.113   Ready     1d        v1.6.0

$ kubectl label nodes 172.20.0.113 beta.kubernetes.io/fluentd-ds-ready=true
node "172.20.0.113" labeled

给其他两台 node 打上同样的标签。

执行定义文件

$ kubectl create -f .
serviceaccount "efk" created
clusterrolebinding "efk" created
replicationcontroller "elasticsearch-logging-v1" created
service "elasticsearch-logging" created
daemonset "fluentd-es-v1.22" created
deployment "kibana-logging" created
service "kibana-logging" created

检查执行结果

$ kubectl get deployment -n kube-system|grep kibana
kibana-logging         1         1         1            1           2m

$ kubectl get pods -n kube-system|grep -E 'elasticsearch|fluentd|kibana'
elasticsearch-logging-v1-mlstp          1/1       Running   0          1m
elasticsearch-logging-v1-nfbbf          1/1       Running   0          1m
fluentd-es-v1.22-31sm0                  1/1       Running   0          1m
fluentd-es-v1.22-bpgqs                  1/1       Running   0          1m
fluentd-es-v1.22-qmn7h                  1/1       Running   0          1m
kibana-logging-1432287342-0gdng         1/1       Running   0          1m

$ kubectl get service  -n kube-system|grep -E 'elasticsearch|kibana'
elasticsearch-logging   10.254.77.62    <none>        9200/TCP                        2m
kibana-logging          10.254.8.113    <none>        5601/TCP                        2m

Kibana Pod 第一次启动时会用较长时间(10-20分钟)来优化和 Cache 状态页面，可以 tailf 该 Pod 的日志观察进度：

$ kubectl logs kibana-logging-1432287342-0gdng -n kube-system -f
ELASTICSEARCH_URL=http://elasticsearch-logging:9200
server.basePath: /api/v1/proxy/namespaces/kube-system/services/kibana-logging
{"type":"log","@timestamp":"2017-04-12T13:08:06Z","tags":["info","optimize"],"pid":7,"message":"Optimizing and caching bundles for kibana and statusPage. This may take a few minutes"}
{"type":"log","@timestamp":"2017-04-12T13:18:17Z","tags":["info","optimize"],"pid":7,"message":"Optimization of bundles for kibana and statusPage complete in 610.40 seconds"}
{"type":"log","@timestamp":"2017-04-12T13:18:17Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"green","message":"Status changed from uninitialized to green - Ready","prevState":"uninitialized","prevMsg":"uninitialized"}
{"type":"log","@timestamp":"2017-04-12T13:18:18Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"yellow","message":"Status changed from uninitialized to yellow - Waiting for Elasticsearch","prevState":"uninitialized","prevMsg":"uninitialized"}
{"type":"log","@timestamp":"2017-04-12T13:18:19Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"green","message":"Status changed from uninitialized to green - Ready","prevState":"uninitialized","prevMsg":"uninitialized"}
{"type":"log","@timestamp":"2017-04-12T13:18:19Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"green","message":"Status changed from uninitialized to green - Ready","prevState":"uninitialized","prevMsg":"uninitialized"}
{"type":"log","@timestamp":"2017-04-12T13:18:19Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"green","message":"Status changed from uninitialized to green - Ready","prevState":"uninitialized","prevMsg":"uninitialized"}
{"type":"log","@timestamp":"2017-04-12T13:18:19Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"green","message":"Status changed from uninitialized to green - Ready","prevState":"uninitialized","prevMsg":"uninitialized"}
{"type":"log","@timestamp":"2017-04-12T13:18:19Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"green","message":"Status changed from uninitialized to green - Ready","prevState":"uninitialized","prevMsg":"uninitialized"}
{"type":"log","@timestamp":"2017-04-12T13:18:19Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"green","message":"Status changed from uninitialized to green - Ready","prevState":"uninitialized","prevMsg":"uninitialized"}
{"type":"log","@timestamp":"2017-04-12T13:18:19Z","tags":["listening","info"],"pid":7,"message":"Server running at http://0.0.0.0:5601"}
{"type":"log","@timestamp":"2017-04-12T13:18:24Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"yellow","message":"Status changed from yellow to yellow - No existing Kibana index found","prevState":"yellow","prevMsg":"Waiting for Elasticsearch"}
{"type":"log","@timestamp":"2017-04-12T13:18:29Z","tags":["status","plugin:[email protected]","info"],"pid":7,"state":"green","message":"Status changed from yellow to green - Kibana index ready","prevState":"yellow","prevMsg":"No existing Kibana index found"}

访问 kibana

  1. 通过 kube-apiserver 访问：

    获取 monitoring-grafana 服务 URL

    $ kubectl cluster-info
Kubernetes master is running at https://172.20.0.113:6443
Elasticsearch is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/elasticsearch-logging
Heapster is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/heapster
Kibana is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/kibana-logging
KubeDNS is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/kube-dns
kubernetes-dashboard is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/kubernetes-dashboard
monitoring-grafana is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana
monitoring-influxdb is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/monitoring-influxdb

    浏览器访问 URL： https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/kibana-logging/app/kibana

  2. 通过 kubectl proxy 访问：

    创建代理

    $ kubectl proxy --address='172.20.0.113' --port=8086 --accept-hosts='^*$'
Starting to serve on 172.20.0.113:8086

    浏览器访问 URL：http://172.20.0.113:8086/api/v1/proxy/namespaces/kube-system/services/kibana-logging

在 Settings -> Indices 页面创建一个 index（相当于 mysql 中的一个 database），选中 Index contains time-based events，使用默认的 logstash-* pattern，点击 Create ;

可能遇到的问题

如果你在这里发现 Create 按钮是灰色的无法点击，且 Time-filed name 中没有选项，fluentd 要读取 /var/log/containers/ 目录下的 log 日志，这些日志是从 /var/lib/docker/containers/${CONTAINER_ID}/${CONTAINER_ID}-json.log 链接过来的，查看你的 docker 配置，—log-dirver 需要设置为 json-file 格式，默认的可能是 journald，参考 docker logging。

es-setting

创建 Index 后，可以在 Discover 下看到 ElasticSearch logging 中汇聚的日志；

es-home