09-5.部署 EFK 插件
Posted linux20190409
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09-5.部署 EFK 插件
EFK 对应的目录:kubernetes/cluster/addons/fluentd-elasticsearch
$ cd /opt/k8s/kubernetes/cluster/addons/fluentd-elasticsearch
$ ls *.yaml
es-service.yaml es-statefulset.yaml fluentd-es-configmap.yaml fluentd-es-ds.yaml kibana-deployment.yaml kibana-service.yaml
修改定义文件
$ cp es-statefulset.yaml,.orig
$ diff es-statefulset.yaml,.orig
76c76
< - image: longtds/elasticsearch:v5.6.4
---
> - image: k8s.gcr.io/elasticsearch:v5.6.4
$ cp fluentd-es-ds.yaml,.orig
$ diff fluentd-es-ds.yaml,.orig
79c79
< image: netonline/fluentd-elasticsearch:v2.0.4
---
> image: k8s.gcr.io/fluentd-elasticsearch:v2.0.4
给 Node 设置标签
DaemonSet fluentd-es
只会调度到设置了标签 beta.kubernetes.io/fluentd-ds-ready=true
的 Node,需要在期望运行 fluentd 的 Node 上设置该标签;
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
kube-node1 Ready <none> 3d v1.10.4
kube-node2 Ready <none> 3d v1.10.4
kube-node3 Ready <none> 3d v1.10.4
$ kubectl label nodes kube-node3 beta.kubernetes.io/fluentd-ds-ready=true
node "kube-node3" labeled
执行定义文件
$ pwd
/opt/k8s/kubernetes/cluster/addons/fluentd-elasticsearch
$ ls *.yaml
es-service.yaml es-statefulset.yaml fluentd-es-configmap.yaml fluentd-es-ds.yaml kibana-deployment.yaml kibana-service.yaml
$ kubectl create -f .
检查执行结果
$ kubectl get pods -n kube-system -o wide|grep -E ‘elasticsearch|fluentd|kibana‘
elasticsearch-logging-0 1/1 Running 0 5m 172.30.81.7 kube-node1
elasticsearch-logging-1 1/1 Running 0 2m 172.30.39.8 kube-node3
fluentd-es-v2.0.4-hntfp 1/1 Running 0 5m 172.30.39.6 kube-node3
kibana-logging-7445dc9757-pvpcv 1/1 Running 0 5m 172.30.39.7 kube-node3
$ kubectl get service -n kube-system|grep -E ‘elasticsearch|kibana‘
elasticsearch-logging ClusterIP 10.254.50.198 <none> 9200/TCP 5m
kibana-logging ClusterIP 10.254.255.190 <none> 5601/TCP 5m
kibana Pod 第一次启动时会用较长时间(0-20分钟)来优化和 Cache 状态页面,可以 tailf 该 Pod 的日志观察进度:
[[email protected] fluentd-elasticsearch]$ kubectl logs kibana-logging-7445dc9757-pvpcv -n kube-system -f
"type":"log","@timestamp":"2018-06-16T11:36:18Z","tags":["info","optimize"],"pid":1,"message":"Optimizing and caching bundles for graph, ml, kibana, stateSessionStorageRedirect, timelion and status_page. This may take a few minutes"
"type":"log","@timestamp":"2018-06-16T11:40:03Z","tags":["info","optimize"],"pid":1,"message":"Optimization of bundles for graph, ml, kibana, stateSessionStorageRedirect, timelion and status_page complete in 224.57 seconds"
注意:只有当的 Kibana pod 启动完成后,才能查看 kibana dashboard,否则会提示 refuse。
访问 kibana
-
通过 kube-apiserver 访问:
$ kubectl cluster-info|grep -E ‘Elasticsearch|Kibana‘ Elasticsearch is running at https://192.168.1.106:6443/api/v1/namespaces/kube-system/services/elasticsearch-logging/proxy Kibana is running at https://192.168.1.106:6443/api/v1/namespaces/kube-system/services/kibana-logging/proxy
浏览器访问 URL:
https://192.168.1.106:6443/api/v1/namespaces/kube-system/services/kibana-logging/proxy
对于 virtuabox 做了端口映射:https://127.0.0.1:8080/api/v1/namespaces/kube-system/services/kibana-logging/proxy
-
通过 kubectl proxy 访问:
创建代理
$ kubectl proxy --address=‘192.168.1.106‘ --port=8086 --accept-hosts=‘^*$‘ Starting to serve on 192.168.1.80:8086
浏览器访问 URL:
https://192.168.1.106:8086/api/v1/namespaces/kube-system/services/kibana-logging/proxy
对于 virtuabox 做了端口映射:https://127.0.0.1:8086/api/v1/namespaces/kube-system/services/kibana-logging/proxy
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
;
创建 Index 后,稍等几分钟就可以在 Discover
菜单下看到 ElasticSearch logging 中汇聚的日志;
链接:https://www.orchome.com/662
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