• 安装heapster插件
    • 准备镜像
    • 准备YAML文件
    • 配置 grafana-deployment
    • 配置 heapster-deployment
    • 配置 influxdb-deployment
    • 配置 monitoring-influxdb Service
    • 执行所有定义文件
    • 检查执行结果
    • 访问 grafana
    • 访问 influxdb admin UI
    • 注意
    • 参考

    安装heapster插件

    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

    到 heapster release 页面 下载最新版本的 heapster。

    1. wget https://github.com/kubernetes/heapster/archive/v1.3.0.zip
    2. unzip v1.3.0.zip
    3. mv v1.3.0.zip heapster-1.3.0

    文件目录: heapster-1.3.0/deploy/kube-config/influxdb

    1. $ cd heapster-1.3.0/deploy/kube-config/influxdb
    2. $ ls *.yaml
    3. 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

    已经修改好的 yaml 文件见:../manifests/heapster

    配置 grafana-deployment

    1. $ diff grafana-deployment.yaml.orig grafana-deployment.yaml
    2. 16c16
    3. < image: gcr.io/google_containers/heapster-grafana-amd64:v4.0.2
    4. ---
    5. > image: sz-pg-oam-docker-hub-001.tendcloud.com/library/heapster-grafana-amd64:v4.0.2
    6. 40,41c40,41
    7. < # value: /api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/
    8. < value: /
    9. ---
    10. > value: /api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/
    11. > #value: /
    • 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;

    配置 heapster-deployment

    1. $ diff heapster-deployment.yaml.orig heapster-deployment.yaml
    2. 16c16
    3. < image: gcr.io/google_containers/heapster-amd64:v1.3.0-beta.1
    4. ---
    5. > 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

    1. $ # 导出镜像中的 influxdb 配置文件
    2. $ docker run --rm --entrypoint 'cat' -ti lvanneo/heapster-influxdb-amd64:v1.1.1 /etc/config.toml >config.toml.orig
    3. $ cp config.toml.orig config.toml
    4. $ # 修改:启用 admin 接口
    5. $ vim config.toml
    6. $ diff config.toml.orig config.toml
    7. 35c35
    8. < enabled = false
    9. ---
    10. > enabled = true
    11. $ # 将修改后的配置写入到 ConfigMap 对象中
    12. $ kubectl create configmap influxdb-config --from-file=config.toml -n kube-system
    13. configmap "influxdb-config" created
    14. $ # 将 ConfigMap 中的配置文件挂载到 Pod 中,达到覆盖原始配置的目的
    15. $ diff influxdb-deployment.yaml.orig influxdb-deployment.yaml
    16. 16c16
    17. < image: gcr.io/google_containers/heapster-influxdb-amd64:v1.1.1
    18. ---
    19. > image: sz-pg-oam-docker-hub-001.tendcloud.com/library/heapster-influxdb-amd64:v1.1.1
    20. 19a20,21
    21. > - mountPath: /etc/
    22. > name: influxdb-config
    23. 22a25,27
    24. > - name: influxdb-config
    25. > configMap:
    26. > name: influxdb-config

    配置 monitoring-influxdb Service

    1. $ diff influxdb-service.yaml.orig influxdb-service.yaml
    2. 12a13
    3. > type: NodePort
    4. 15a17,20
    5. > name: http
    6. > - port: 8083
    7. > targetPort: 8083
    8. > 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

    1. $ pwd
    2. /root/heapster-1.3.0/deploy/kube-config/influxdb
    3. $ ls *.yaml
    4. grafana-service.yaml heapster-rbac.yaml influxdb-cm.yaml influxdb-service.yaml
    5. grafana-deployment.yaml heapster-deployment.yaml heapster-service.yaml influxdb-deployment.yaml
    6. $ kubectl create -f .
    7. deployment "monitoring-grafana" created
    8. service "monitoring-grafana" created
    9. deployment "heapster" created
    10. serviceaccount "heapster" created
    11. clusterrolebinding "heapster" created
    12. service "heapster" created
    13. configmap "influxdb-config" created
    14. deployment "monitoring-influxdb" created
    15. service "monitoring-influxdb" created

    检查执行结果

    检查 Deployment

    1. $ kubectl get deployments -n kube-system | grep -E 'heapster|monitoring'
    2. heapster 1 1 1 1 2m
    3. monitoring-grafana 1 1 1 1 2m
    4. monitoring-influxdb 1 1 1 1 2m

    检查 Pods

    1. $ kubectl get pods -n kube-system | grep -E 'heapster|monitoring'
    2. heapster-110704576-gpg8v 1/1 Running 0 2m
    3. monitoring-grafana-2861879979-9z89f 1/1 Running 0 2m
    4. 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;

    dashboard-heapster

    访问 grafana

    1. 通过 kube-apiserver 访问:

      获取 monitoring-grafana 服务 URL

      1. $ kubectl cluster-info
      2. Kubernetes master is running at https://172.20.0.113:6443
      3. Heapster is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/heapster
      4. KubeDNS is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/kube-dns
      5. kubernetes-dashboard is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/kubernetes-dashboard
      6. monitoring-grafana is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana
      7. monitoring-influxdb is running at https://172.20.0.113:6443/api/v1/proxy/namespaces/kube-system/services/monitoring-influxdb
      8. 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

      1. $ kubectl proxy --address='172.20.0.113' --port=8086 --accept-hosts='^*$'
      2. 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

    grafana

    访问 influxdb admin UI

    获取 influxdb http 8086 映射的 NodePort

    1. $ kubectl get svc -n kube-system|grep influxdb
    2. 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):

    kubernetes-influxdb-heapster

    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 defaultkube-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。

    修改grafana模板

    将 Templating 中的 namespace 的 Data source 设置为 influxdb-datasource,Refresh 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