159 lines
8.5 KiB
Markdown
159 lines
8.5 KiB
Markdown
# 安装EFK插件
|
||
|
||
官方文件目录：`cluster/addons/fluentd-elasticsearch`
|
||
|
||
``` bash
|
||
$ 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：[EFK](./manifests/EFK)
|
||
|
||
|
||
## 配置 es-controller.yaml
|
||
|
||
``` bash
|
||
$ diff es-controller.yaml.orig es-controller.yaml
|
||
24c24
|
||
< - image: gcr.io/google_containers/elasticsearch:v2.4.1-2
|
||
---
|
||
> - image: sz-pg-oam-docker-hub-001.tendcloud.com/library/elasticsearch:v2.4.1-2
|
||
```
|
||
|
||
## 配置 es-service.yaml
|
||
|
||
无需配置；
|
||
|
||
## 配置 fluentd-es-ds.yaml
|
||
|
||
``` bash
|
||
$ diff fluentd-es-ds.yaml.orig fluentd-es-ds.yaml
|
||
26c26
|
||
< image: gcr.io/google_containers/fluentd-elasticsearch:1.22
|
||
---
|
||
> image: sz-pg-oam-docker-hub-001.tendcloud.com/library/fluentd-elasticsearch:1.22
|
||
```
|
||
|
||
## 配置 kibana-controller.yaml
|
||
|
||
``` bash
|
||
$ diff kibana-controller.yaml.orig kibana-controller.yaml
|
||
22c22
|
||
< image: gcr.io/google_containers/kibana:v4.6.1-1
|
||
---
|
||
> image: sz-pg-oam-docker-hub-001.tendcloud.com/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；
|
||
|
||
``` bash
|
||
$ 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
|
||
|
||
``` bash
|
||
$ 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
|
||
|
||
``` bash
|
||
$ 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：
|
||
|
||
``` bash
|
||
$ 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:kibana@1.0.0","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:elasticsearch@1.0.0","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:kbn_vislib_vis_types@1.0.0","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:markdown_vis@1.0.0","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:metric_vis@1.0.0","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:spyModes@1.0.0","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:statusPage@1.0.0","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:table_vis@1.0.0","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:elasticsearch@1.0.0","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:elasticsearch@1.0.0","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
|
||
|
||
``` bash
|
||
$ 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
|
||
|
||
``` bash
|
||
$ 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]([https://docs.docker.com/engine/admin/logging/overview/#examples](https://docs.docker.com/engine/admin/logging/overview/#examples))。
|
||
|
||
|
||
|
||
创建Index后，可以在 `Discover` 下看到 ElasticSearch logging 中汇聚的日志；
|
||
|
||
 |