建立Heapster Influxdb Grafana集群性能监控平台
依赖于kubenets dns服务
图形化展示度量指标的实现需要集成k8s的另外一个Addons组件: Heapster 。
Heapster原生支持K8s(v1.0.6及以后版本)和 CoreOS ,并且支持多种存储后端,比如: InfluxDB 、 ElasticSearch 、 Kafka 。
镜像地址:
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
安装Heapster
heapster-deployment.yaml
[root@k8s_master ui]# cat heapster-deployment.yaml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: heapster
namespace: kube-system
spec:
replicas: 1
template:
metadata:
labels:
task: monitoring
k8s-app: heapster
spec:
containers:
- name: heapster
image: index.tenxcloud.com/jimmy/heapster-amd64:v1.3.0-beta.1
imagePullPolicy: IfNotPresent
command:
- /heapster
- --source=kubernetes:http://192.168.132.148:8080?inClusterConfig=false
- --sink=influxdb:http://monitoring-influxdb:8086
注意:修改- --source为自己的master apiserver访问地址 ,修改image地址(上面已经提供)
heapster-service.yaml
[root@k8s_master ui]# cat heapster-service.yaml
apiVersion: v1
kind: Service
metadata:
labels:
task: monitoring
# For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons)
# If you are NOT using this as an addon, you should comment out this line.
kubernetes.io/cluster-service: 'true'
kubernetes.io/name: Heapster
name: heapster
namespace: kube-system
spec:
ports:
- port: 80
targetPort: 8082
selector:
k8s-app: heapster

创建deployment和service
#kubectl create -f heapster-deployment.yaml #kubectl create -f heapster-service.yaml
配置Influxdb
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。
$ #在镜像所在的宿主机上,导出镜像中的influxdb配置文件 $ docker run --rm --entrypoint 'cat' -ti 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 修改第35行 < enabled = false --- > enabled = true
$ #将修改后的config.toml拷贝到Master上,再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
$ # 将ConfigMap中的配置文件挂载到Pod中,达到覆盖原始配置的目的
influxdb-deployment.yaml文件
[root@k8s_master ui]# cat influxdb-deployment.yaml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: monitoring-influxdb
namespace: kube-system
spec:
replicas: 1
template:
metadata:
labels:
task: monitoring
k8s-app: influxdb
spec:
containers:
- name: influxdb
image: index.tenxcloud.com/jimmy/heapster-influxdb-amd64:v1.1.1
volumeMounts:
- mountPath: /data
name: influxdb-storage
- mountPath: /etc/
name: influxdb-config
volumes:
- name: influxdb-config
configMap:
name: influxdb-config
- name: influxdb-storage
emptyDir: {}
influxdb-service.yaml
[root@k8s_master ui]# cat influxdb-service.yaml
apiVersion: v1
kind: Service
metadata:
labels:
task: monitoring
# For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons)
# If you are NOT using this as an addon, you should comment out this line.
kubernetes.io/cluster-service: 'true'
kubernetes.io/name: monitoring-influxdb
name: monitoring-influxdb
namespace: kube-system
spec:
type: NodePort
ports:
- port: 8086
targetPort: 8086
name: http
- port: 8083
targetPort: 8083
name: api
selector:
k8s-app: influxdb
创建deployment和service
#kubectl create -f influxdb-deployment.yaml #kubectl create -f influxdb-service.yaml
安装grafana
grafana-deployment.yaml
[root@k8s_master ui]# cat grafana-deployment.yaml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: monitoring-grafana
namespace: kube-system
spec:
replicas: 1
template:
metadata:
labels:
task: monitoring
k8s-app: grafana
spec:
containers:
- name: grafana
image: index.tenxcloud.com/jimmy/heapster-grafana-amd64:v4.0.2
ports:
- containerPort: 3000
protocol: TCP
volumeMounts:
- mountPath: /var
name: grafana-storage
env:
- name: INFLUXDB_HOST
value: monitoring-influxdb
- name: GRAFANA_PORT
value: "
# The following env variables are required to make Grafana accessible via
# the kubernetes api-server proxy. On production clusters, we recommend
# removing these env variables, setup auth for grafana, and expose the grafana
# service using a LoadBalancer or a public IP.
- name: GF_AUTH_BASIC_ENABLED
value: "false"
- name: GF_AUTH_ANONYMOUS_ENABLED
value: "true"
- name: GF_AUTH_ANONYMOUS_ORG_ROLE
value: Admin
- name: GF_SERVER_ROOT_URL
# If you're only using the API Server proxy, set this value instead:
value: /api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/
#value: /
volumes:
- name: grafana-storage
emptyDir: {}
grafana-service.yaml
[root@k8s_master ui]# cat grafana-service.yaml
apiVersion: v1
kind: Service
metadata:
labels:
# For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons)
# If you are NOT using this as an addon, you should comment out this line.
kubernetes.io/cluster-service: 'true'
kubernetes.io/name: monitoring-grafana
name: monitoring-grafana
namespace: kube-system
spec:
# In a production setup, we recommend accessing Grafana through an external Loadbalancer
# or through a public IP.
# type: LoadBalancer
# You could also use NodePort to expose the service at a randomly-generated port
# type: NodePort
ports:
- port: 80
targetPort: 3000
selector:
k8s-app: grafana
创建deployment和service
#kubectl create -f grafana-deployment.yaml #kubectl create -f grafana-service.yaml
获取所有pod
[root@k8s_master ui]# kubectl get pod -n kube-system NAME READY STATUS RESTARTS AGE heapster-3275159538-fdvhf 1/1 Running 0 5s kubernetes-dashboard-latest-1381663337-0wwml 1/1 Running 1 19h monitoring-grafana-2812960871-gbsdf 1/1 Running 1 16h monitoring-influxdb-1975863524-nmbpk 1/1 Running 1 16h
打印日志
[root@k8s_master ui]# kubectl logs -f pods/heapster-3275159538-fdvhf -n kube-system

如果没有配置dns,Influxdb会报如下错误

访问验证:
http://192.168.132.148:8080/ui


验证Influxdb

8086端口对应31878
访问:
http://192.168.132.148:8080/api/v1/proxy/namespaces/kube-system/services/monitoring-influxdb:8083/

这里的ip为部署influxdb的主机
查看状态

直接回车

通过 kube-apiserver 的非安全端口访问 influxdb 的 admin UI 界面:
[root@k8s_master ~]# kubectl cluster-info

注:这些地址均可在以上的deployment.yaml 里设置
grafan地址:
http://192.168.132.148:8080/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/dashboard/db/cluster


配置信息

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