Kubernetes 开发了一个 Elasticsearch 附加组件来实现集群的日志管理。这是一个 Elasticsearch、Fluentd 和 Kibana 的组合。
Elasticsearch 是一个搜索引擎，负责存储日志并提供查询接口；
Fluentd 负责从 Kubernetes 搜集日志，每个node节点上面的fluentd监控并收集该节点上面的系统日志，并将处理过后的日志信息发送给Elasticsearch；
Kibana 提供了一个 Web GUI，用户可以浏览和搜索存储在 Elasticsearch 中的日志。
从官方github仓库下载yaml文件
[root@hello ~/efk]# git clone https://github.com/kubernetes/kubernetes.git
[root@hello ~/efk]# kubectl create namespace logging
[root@hello ~/efk]#
执行所有yaml文件
[root@hello ~/efk]# cd kubernetes/cluster/addons/fluentd-elasticsearch/
[root@hello ~/efk/kubernetes/cluster/addons/fluentd-elasticsearch]# kubectl apply -f ./
namespace/logging created
service/elasticsearch-logging created
serviceaccount/elasticsearch-logging created
clusterrole.rbac.authorization.k8s.io/elasticsearch-logging created
clusterrolebinding.rbac.authorization.k8s.io/elasticsearch-logging created
statefulset.apps/elasticsearch-logging created
configmap/fluentd-es-config-v0.2.1 created
serviceaccount/fluentd-es created
clusterrole.rbac.authorization.k8s.io/fluentd-es created
clusterrolebinding.rbac.authorization.k8s.io/fluentd-es created
daemonset.apps/fluentd-es-v3.1.1 created
deployment.apps/kibana-logging created
service/kibana-logging created
查看pod状态：
[root@hello ~]# kubectl get pod -n logging
NAME READY STATUS RESTARTS AGE
elasticsearch-logging-0 1/1 Running 0 2m17s
elasticsearch-logging-1 1/1 Running 0 96s
fluentd-es-v3.1.1-qw9dj 1/1 Running 1 (97s ago) 2m16s
kibana-logging-75bd6cccf5-pskrr 1/1 Running 1 (106s ago) 2m16s
[root@hello ~]#
[root@hello ~]# kubectl get service -n logging
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
elasticsearch-logging ClusterIP None <none> 9200/TCP,9300/TCP 2m41s
kibana-logging ClusterIP 10.68.145.186 <none> 5601/TCP 2m40s
[root@hello ~]#
访问 kibana
[root@hello ~]# kubectl proxy --address='192.168.1.11' --port=8086 --accept-hosts='^*$'
#访问
http://192.168.1.11:8086//api/v1/namespaces/logging/services/kibana-logging/proxy/
创建一个index-pattern索引
默认为 logstash-* 即可，之后这里会看到日志
