kubernetes-handbook/practice/heapster-addon-installation.md

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# 安装heapster插件
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## 准备镜像
官方镜像保存在 gcr.io 中需要翻墙才能下载,为了方便大家使用,我下载后放到了[时速云](http://www.tenxcloud.com)中,为公有镜像供大家下载。
- index.tenxcloud.com/jimmy/heapster-amd64:v1.3.0-beta.1
- index.tenxcloud.com/jimmy/heapster-influxdb-amd64:v1.1.1
- index.tenxcloud.com/jimmy/heapster-grafana-amd64:v4.0.2
## 准备YAML文件
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到 [heapster release 页面](https://github.com/kubernetes/heapster/releases) 下载最新版本的 heapster。
``` bash
wget https://github.com/kubernetes/heapster/archive/v1.3.0.zip
unzip v1.3.0.zip
mv v1.3.0.zip heapster-1.3.0
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```
文件目录: `heapster-1.3.0/deploy/kube-config/influxdb`
``` bash
$ cd heapster-1.3.0/deploy/kube-config/influxdb
$ ls *.yaml
grafana-deployment.yaml grafana-service.yaml heapster-deployment.yaml heapster-service.yaml influxdb-deployment.yaml influxdb-service.yaml heapster-rbac.yaml
```
我们自己创建了heapster的rbac配置`heapster-rbac.yaml`。
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已经修改好的 yaml 文件见:[../manifests/heapster](https://github.com/rootsongjc/kubernetes-handbook/blob/master/manifests/heapster/)
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## 配置 grafana-deployment
``` bash
$ diff grafana-deployment.yaml.orig grafana-deployment.yaml
16c16
< image: gcr.io/google_containers/heapster-grafana-amd64:v4.0.2
---
> image: sz-pg-oam-docker-hub-001.tendcloud.com/library/heapster-grafana-amd64:v4.0.2
40,41c40,41
< # value: /api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/
< value: /
---
> value: /api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/
> #value: /
```
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+ 如果后续使用 kube-apiserver 或者 kubectl proxy 访问 grafana dashboard则必须将 `GF_SERVER_ROOT_URL` 设置为 `/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/`否则后续访问grafana时访问时提示找不到`http://172.20.0.113:8086/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/api/dashboards/home` 页面;
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## 配置 heapster-deployment
``` bash
$ diff heapster-deployment.yaml.orig heapster-deployment.yaml
16c16
< image: gcr.io/google_containers/heapster-amd64:v1.3.0-beta.1
---
> image: sz-pg-oam-docker-hub-001.tendcloud.com/library/heapster-amd64:v1.3.0-beta.1
```
## 配置 influxdb-deployment
influxdb 官方建议使用命令行或 HTTP API 接口来查询数据库,从 v1.1.0 版本开始默认关闭 admin UI将在后续版本中移除 admin UI 插件。
开启镜像中 admin UI的办法如下先导出镜像中的 influxdb 配置文件,开启 admin 插件后,再将配置文件内容写入 ConfigMap最后挂载到镜像中达到覆盖原始配置的目的
注意manifests 目录已经提供了 [修改后的 ConfigMap 定义文件](https://github.com/opsnull/follow-me-install-kubernetes-cluster/blob/master/manifests/heapster/influxdb-cm.yaml)
``` bash
$ # 导出镜像中的 influxdb 配置文件
$ docker run --rm --entrypoint 'cat' -ti lvanneo/heapster-influxdb-amd64:v1.1.1 /etc/config.toml >config.toml.orig
$ cp config.toml.orig config.toml
$ # 修改:启用 admin 接口
$ vim config.toml
$ diff config.toml.orig config.toml
35c35
< enabled = false
---
> enabled = true
$ # 将修改后的配置写入到 ConfigMap 对象中
$ kubectl create configmap influxdb-config --from-file=config.toml -n kube-system
configmap "influxdb-config" created
$ # 将 ConfigMap 中的配置文件挂载到 Pod 中,达到覆盖原始配置的目的
$ diff influxdb-deployment.yaml.orig influxdb-deployment.yaml
16c16
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< image: gcr.io/google_containers/heapster-influxdb-amd64:v1.1.1
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---
> image: sz-pg-oam-docker-hub-001.tendcloud.com/library/heapster-influxdb-amd64:v1.1.1
19a20,21
> - mountPath: /etc/
> name: influxdb-config
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> - name: influxdb-config
> configMap:
> name: influxdb-config
```
## 配置 monitoring-influxdb Service
```
$ diff influxdb-service.yaml.orig influxdb-service.yaml
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> type: NodePort
15a17,20
> name: http
> - port: 8083
> targetPort: 8083
> name: admin
```
- 定义端口类型为 NodePort额外增加了 admin 端口映射,用于后续浏览器访问 influxdb 的 admin UI 界面;
## 执行所有定义文件
``` bash
$ pwd
/root/heapster-1.3.0/deploy/kube-config/influxdb
$ ls *.yaml
grafana-service.yaml heapster-rbac.yaml influxdb-cm.yaml influxdb-service.yaml
grafana-deployment.yaml heapster-deployment.yaml heapster-service.yaml influxdb-deployment.yaml
$ kubectl create -f .
deployment "monitoring-grafana" created
service "monitoring-grafana" created
deployment "heapster" created
serviceaccount "heapster" created
clusterrolebinding "heapster" created
service "heapster" created
configmap "influxdb-config" created
deployment "monitoring-influxdb" created
service "monitoring-influxdb" created
```
## 检查执行结果
检查 Deployment
``` bash
$ kubectl get deployments -n kube-system | grep -E 'heapster|monitoring'
heapster 1 1 1 1 2m
monitoring-grafana 1 1 1 1 2m
monitoring-influxdb 1 1 1 1 2m
```
检查 Pods
``` bash
$ kubectl get pods -n kube-system | grep -E 'heapster|monitoring'
heapster-110704576-gpg8v 1/1 Running 0 2m
monitoring-grafana-2861879979-9z89f 1/1 Running 0 2m
monitoring-influxdb-1411048194-lzrpc 1/1 Running 0 2m
```
检查 kubernets dashboard 界面,看是显示各 Nodes、Pods 的 CPU、内存、负载等利用率曲线图
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![dashboard-heapster](../images/kubernetes-dashboard-with-heapster.jpg)
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## 访问 grafana
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
Heapster is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/heapster
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
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
```
浏览器访问 URL `http://172.20.0.113:8080/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana`
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/monitoring-grafana`
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![grafana](../images/kubernetes-heapster-grafana.jpg)
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## 访问 influxdb admin UI
获取 influxdb http 8086 映射的 NodePort
```
$ kubectl get svc -n kube-system|grep influxdb
monitoring-influxdb 10.254.22.46 <nodes> 8086:32299/TCP,8083:30269/TCP 9m
```
通过 kube-apiserver 的**非安全端口**访问 influxdb 的 admin UI 界面: `http://172.20.0.113:8080/api/v1/proxy/namespaces/kube-system/services/monitoring-influxdb:8083/`
在页面的 “Connection Settings” 的 Host 中输入 node IP Port 中输入 8086 映射的 nodePort 如上面的 32299点击 “Save” 即可我的集群中的地址是172.20.0.113:32299
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![kubernetes-influxdb-heapster](../images/kubernetes-influxdb-heapster.jpg)
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## 注意
在安装好 Grafana 之后我们使用的是默认的 template 配置,页面上的 namespace 选择里只有 `default``kube-system`,并不是说其他的 namespace 里的指标没有得到监控,只是我们没有在 Grafana 中开启他它们的显示而已。见 [Cannot see other namespaces except, kube-system and default #1279](https://github.com/kubernetes/heapster/issues/1279)。
![修改grafana模板](../images/grafana-dashboard-setting.jpg)
将 Templating 中的 namespace 的 Data source 设置为 influxdb-datasourceRefresh 设置为 on Dashboard Load 保存设置,刷新浏览器,即可看到其他 namespace 选项。
## 参考
[使用Heapster获取集群对象的metric数据](../practice/using-heapster-to-get-object-metrics.md)