------> 课程视频同步分享在今日头条和B站
大家好，我是博哥爱运维。这节课我们利用prometheus来监控入口流量控制服务nginx ingress controller。
我们前面部署过ingress-nginx，这个是整个K8s上所有服务的流量入口组件很关键，因此把它的metrics指标收集到prometheus来做好相关监控至关重要，因为前面ingress-nginx服务是以daemonset形式部署的，并且映射了自己的端口到宿主机上，那么我可以直接用pod运行NODE上的IP来看下metrics
# kubectl -n kube-system get pod -o wide|grep nginx-ingress
nginx-ingress-controller-m98vx 1/1 Running 25 (28m ago) 43d 10.0.1.201 10.0.1.201 <none> <none>
# 开启metrics指标
# kubectl -n kube-system edit ds nginx-ingress-controller
# 搜索 metrics ， 找到 - --enable-metrics= 设置为 true
# curl 10.0.1.201:10254/metrics
# HELP go_gc_duration_seconds A summary of the pause duration of garbage collection cycles.
# TYPE go_gc_duration_seconds summary
go_gc_duration_seconds{quantile="0"} 3.9813e-05
go_gc_duration_seconds{quantile="0.25"} 7.174e-05
go_gc_duration_seconds{quantile="0.5"} 0.000131089
go_gc_duration_seconds{quantile="0.75"} 0.000511873
go_gc_duration_seconds{quantile="1"} 0.20378584
go_gc_duration_seconds_sum 0.472987359
go_gc_duration_seconds_count 211
......
创建 servicemonitor配置让prometheus能发现ingress-nginx的metrics
# vim ingress-nginx-servicemonitor.yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
labels:
app: ingress-nginx
name: nginx-ingress-scraping
namespace: kube-system
spec:
endpoints:
- interval: 30s
path: /metrics
port: metrics
jobLabel: app
namespaceSelector:
matchNames:
- kube-system
selector:
matchLabels:
app: ingress-nginx
创建它
# kubectl apply -f ingress-nginx-servicemonitor.yaml
servicemonitor.monitoring.coreos.com/nginx-ingress-scraping created
# kubectl -n ingress-nginx get servicemonitors.monitoring.coreos.com
NAME AGE
nginx-ingress-scraping 8s
再到prometheus UI上看下，发现已经有了
serviceMonitor/kube-system/nginx-ingress-scraping/0 (1/1 up)
下载grafana模板导入使用
https://grafana.com/grafana/dashboards/14314-kubernetes-nginx-ingress-controller-nextgen-devops-nirvana/
