2017-05-16 21:45:53 +08:00
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# 安装heapster插件
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2017-04-14 17:39:40 +08:00
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到 [heapster release 页面](https://github.com/kubernetes/heapster/releases) 下载最新版本的 heapster。
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``` bash
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$ wget https://github.com/kubernetes/heapster/archive/v1.3.0.zip
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$ unzip v1.3.0.zip
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$ mv v1.3.0.zip heapster-1.3.0
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```
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文件目录： `heapster-1.3.0/deploy/kube-config/influxdb`
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``` bash
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$ cd heapster-1.3.0/deploy/kube-config/influxdb
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$ ls *.yaml
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grafana-deployment.yaml grafana-service.yaml heapster-deployment.yaml heapster-service.yaml influxdb-deployment.yaml influxdb-service.yaml heapster-rbac.yaml
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```
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我们自己创建了heapster的rbac配置`heapster-rbac.yaml`。
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2017-07-24 18:12:39 +08:00
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已经修改好的 yaml 文件见：[heapster](../manifests/heapster/)
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2017-04-14 17:39:40 +08:00
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## 配置 grafana-deployment
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``` bash
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$ diff grafana-deployment.yaml.orig grafana-deployment.yaml
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16c16
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< image: gcr.io/google_containers/heapster-grafana-amd64:v4.0.2
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---
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> image: sz-pg-oam-docker-hub-001.tendcloud.com/library/heapster-grafana-amd64:v4.0.2
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40,41c40,41
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< # value: /api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/
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< value: /
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---
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> value: /api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/
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> #value: /
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```
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2017-04-17 20:31:50 +08:00
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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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2017-04-14 17:39:40 +08:00
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## 配置 heapster-deployment
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``` bash
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$ diff heapster-deployment.yaml.orig heapster-deployment.yaml
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16c16
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< image: gcr.io/google_containers/heapster-amd64:v1.3.0-beta.1
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---
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> image: sz-pg-oam-docker-hub-001.tendcloud.com/library/heapster-amd64:v1.3.0-beta.1
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```
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## 配置 influxdb-deployment
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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。
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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：
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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)
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``` bash
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$ # 导出镜像中的 influxdb 配置文件
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$ docker run --rm --entrypoint 'cat' -ti lvanneo/heapster-influxdb-amd64:v1.1.1 /etc/config.toml >config.toml.orig
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$ cp config.toml.orig config.toml
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$ # 修改：启用 admin 接口
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$ vim config.toml
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$ diff config.toml.orig config.toml
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35c35
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< enabled = false
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---
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> enabled = true
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$ # 将修改后的配置写入到 ConfigMap 对象中
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$ kubectl create configmap influxdb-config --from-file=config.toml -n kube-system
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configmap "influxdb-config" created
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$ # 将 ConfigMap 中的配置文件挂载到 Pod 中，达到覆盖原始配置的目的
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$ diff influxdb-deployment.yaml.orig influxdb-deployment.yaml
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16c16
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2017-05-16 15:59:29 +08:00
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< image: gcr.io/google_containers/heapster-influxdb-amd64:v1.1.1
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2017-04-14 17:39:40 +08:00
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---
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> image: sz-pg-oam-docker-hub-001.tendcloud.com/library/heapster-influxdb-amd64:v1.1.1
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19a20,21
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> - mountPath: /etc/
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> name: influxdb-config
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22a25,27
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> - name: influxdb-config
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> configMap:
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> name: influxdb-config
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```
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## 配置 monitoring-influxdb Service
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```
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$ diff influxdb-service.yaml.orig influxdb-service.yaml
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12a13
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> type: NodePort
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15a17,20
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> name: http
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> - port: 8083
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> targetPort: 8083
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> name: admin
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```
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- 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；
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## 执行所有定义文件
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``` bash
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$ pwd
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/root/heapster-1.3.0/deploy/kube-config/influxdb
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$ ls *.yaml
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grafana-service.yaml heapster-rbac.yaml influxdb-cm.yaml influxdb-service.yaml
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grafana-deployment.yaml heapster-deployment.yaml heapster-service.yaml influxdb-deployment.yaml
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$ kubectl create -f .
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deployment "monitoring-grafana" created
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service "monitoring-grafana" created
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deployment "heapster" created
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serviceaccount "heapster" created
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clusterrolebinding "heapster" created
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service "heapster" created
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configmap "influxdb-config" created
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deployment "monitoring-influxdb" created
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service "monitoring-influxdb" created
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```
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## 检查执行结果
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检查 Deployment
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``` bash
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$ kubectl get deployments -n kube-system | grep -E 'heapster|monitoring'
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heapster 1 1 1 1 2m
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monitoring-grafana 1 1 1 1 2m
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monitoring-influxdb 1 1 1 1 2m
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```
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检查 Pods
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``` bash
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$ kubectl get pods -n kube-system | grep -E 'heapster|monitoring'
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heapster-110704576-gpg8v 1/1 Running 0 2m
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monitoring-grafana-2861879979-9z89f 1/1 Running 0 2m
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monitoring-influxdb-1411048194-lzrpc 1/1 Running 0 2m
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```
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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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2017-05-20 21:03:25 +08:00
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2017-04-14 17:39:40 +08:00
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## 访问 grafana
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1. 通过 kube-apiserver 访问：
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获取 monitoring-grafana 服务 URL
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``` bash
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$ kubectl cluster-info
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Kubernetes master is running at https://172.20.0.113:6443
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Heapster is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/heapster
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KubeDNS is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/kube-dns
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kubernetes-dashboard is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/kubernetes-dashboard
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monitoring-grafana is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana
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monitoring-influxdb is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/monitoring-influxdb
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To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
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```
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浏览器访问 URL： `http://172.20.0.113:8080/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana`
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2. 通过 kubectl proxy 访问：
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创建代理
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``` bash
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$ kubectl proxy --address='172.20.0.113' --port=8086 --accept-hosts='^*$'
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Starting to serve on 172.20.0.113:8086
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```
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浏览器访问 URL：`http://172.20.0.113:8086/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana`
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2017-05-20 21:03:25 +08:00
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2017-04-14 17:39:40 +08:00
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## 访问 influxdb admin UI
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获取 influxdb http 8086 映射的 NodePort
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```
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$ kubectl get svc -n kube-system|grep influxdb
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monitoring-influxdb 10.254.22.46 <nodes> 8086:32299/TCP,8083:30269/TCP 9m
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```
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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/`
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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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2017-05-20 21:03:25 +08:00
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2017-04-14 17:39:40 +08:00
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