kubernetes集群全栈监控报警方案kube-prometheus
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参考文档
http://www.servicemesher.com/blog/prometheus-operator-manual/
https://github.com/coreos/prometheus-operator
https://github.com/coreos/kube-prometheus
背景环境
-
kubernetes集群1.13版本
-
coreos/kube-prometheus从coreos/prometheus-operator独立出来了,后续entire monitoring stack只能去coreos/kube-prometheus
-
目前在该环境下部署还没有遇到坑
监控原理
Prometheus读取Metrcs,读取etcd或者api的都行
查看etcd的metrics输出信息
[[email protected] yaml]# curl --cacert /k8s/etcd/ssl/ca.pem --cert /k8s/etcd/ssl/server.pem --key /k8s/etcd/ssl/server-key.pem https://10.2.8.34:2379/metrics
查看kube-apiserver的metrics信息
[[email protected] yaml]# kubectl get --raw /metrics
实施部署
注意:This will be the last release supporting Kubernetes 1.13 and before. The next release is going to support Kubernetes 1.14+ only.
后续版本只支持k8s1.14+,所以后续要下载release版本,目前只有一个版本所以可以直接git clone
1.下载原代码
[[email protected] yaml]# git clone https://github.com/coreos/kube-prometheus
Cloning into ‘kube-prometheus‘...
remote: Enumerating objects: 5803, done.
remote: Total 5803 (delta 0), reused 0 (delta 0), pack-reused 5803
Receiving objects: 100% (5803/5803), 3.69 MiB | 536.00 KiB/s, done.
Resolving deltas: 100% (3441/3441), done.
2.查看原配置文件
[[email protected] yaml]# cd kube-prometheus/manifests
[[email protected] manifests]# ls
00namespace-namespace.yaml
0prometheus-operator-0alertmanagerCustomResourceDefinition.yaml
0prometheus-operator-0prometheusCustomResourceDefinition.yaml
0prometheus-operator-0prometheusruleCustomResourceDefinition.yaml
0prometheus-operator-0servicemonitorCustomResourceDefinition.yaml
0prometheus-operator-clusterRoleBinding.yaml
0prometheus-operator-clusterRole.yaml
0prometheus-operator-deployment.yaml
0prometheus-operator-serviceAccount.yaml
0prometheus-operator-serviceMonitor.yaml
0prometheus-operator-service.yaml
alertmanager-alertmanager.yaml
alertmanager-secret.yaml
alertmanager-serviceAccount.yaml
alertmanager-serviceMonitor.yaml
alertmanager-service.yaml
grafana-dashboardDatasources.yaml
grafana-dashboardDefinitions.yaml
grafana-dashboardSources.yaml
grafana-deployment.yaml
grafana-serviceAccount.yaml
grafana-serviceMonitor.yaml
grafana-service.yaml
kube-state-metrics-clusterRoleBinding.yaml
kube-state-metrics-clusterRole.yaml
kube-state-metrics-deployment.yaml
kube-state-metrics-roleBinding.yaml
kube-state-metrics-role.yaml
kube-state-metrics-serviceAccount.yaml
kube-state-metrics-serviceMonitor.yaml
kube-state-metrics-service.yaml
node-exporter-clusterRoleBinding.yaml
node-exporter-clusterRole.yaml
node-exporter-daemonset.yaml
node-exporter-serviceAccount.yaml
node-exporter-serviceMonitor.yaml
node-exporter-service.yaml
prometheus-adapter-apiService.yaml
prometheus-adapter-clusterRoleAggregatedMetricsReader.yaml
prometheus-adapter-clusterRoleBindingDelegator.yaml
prometheus-adapter-clusterRoleBinding.yaml
prometheus-adapter-clusterRoleServerResources.yaml
prometheus-adapter-clusterRole.yaml
prometheus-adapter-configMap.yaml
prometheus-adapter-deployment.yaml
prometheus-adapter-roleBindingAuthReader.yaml
prometheus-adapter-serviceAccount.yaml
prometheus-adapter-service.yaml
prometheus-clusterRoleBinding.yaml
prometheus-clusterRole.yaml
prometheus-prometheus.yaml
prometheus-roleBindingConfig.yaml
prometheus-roleBindingSpecificNamespaces.yaml
prometheus-roleConfig.yaml
prometheus-roleSpecificNamespaces.yaml
prometheus-rules.yaml
prometheus-serviceAccount.yaml
prometheus-serviceMonitorApiserver.yaml
prometheus-serviceMonitorCoreDNS.yaml
prometheus-serviceMonitorKubeControllerManager.yaml
prometheus-serviceMonitorKubelet.yaml
prometheus-serviceMonitorKubeScheduler.yaml
prometheus-serviceMonitor.yaml
prometheus-service.yaml
3.新建目录重新梳理下
[[email protected] manifests]# mkdir -p operator node-exporter alertmanager grafana kube-state-metrics prometheus serviceMonitor adapter
[[email protected] manifests]# mv *-serviceMonitor* serviceMonitor/
etheus/[[email protected] manifests]# mv 0prometheus-operator* operator/
[[email protected] manifests]# mv grafana-* grafana/
[[email protected] manifests]# mv kube-state-metrics-* kube-state-metrics/
[[email protected] manifests]# mv alertmanager-* alertmanager/
[[email protected] manifests]# mv node-exporter-* node-exporter/
[[email protected] manifests]# mv prometheus-adapter* adapter/
[[email protected] manifests]# mv prometheus-* prometheus/
[[email protected] manifests]# ls
00namespace-namespace.yaml alertmanager kube-state-metrics operator serviceMonitor
adapter grafana node-exporter prometheus
[[email protected] manifests]# ls -lh
total 36K
-rw-r--r-- 1 root root 60 Jun 3 20:05 00namespace-namespace.yaml
drwxr-xr-x 2 root root 4.0K Jun 4 14:23 adapter
drwxr-xr-x 2 root root 4.0K Jun 4 14:23 alertmanager
drwxr-xr-x 2 root root 4.0K Jun 4 14:23 grafana
drwxr-xr-x 2 root root 4.0K Jun 4 14:23 kube-state-metrics
drwxr-xr-x 2 root root 4.0K Jun 4 14:23 node-exporter
drwxr-xr-x 2 root root 4.0K Jun 4 14:23 operator
drwxr-xr-x 2 root root 4.0K Jun 4 14:23 prometheus
drwxr-xr-x 2 root root 4.0K Jun 4 14:23 serviceMonitor
4.部署前注意问题
a.镜像问题
其中k8s.gcr.io/addon-resizer:1.8.4镜像下载不了,需要借助阿里云中转下,其他镜像默认都能下载,如遇到不能下载的也需要中转下再tag到自己私有镜像库
[[email protected]_8_24_centos ~]# docker pull registry.cn-beijing.aliyuncs.com/minminmsn/addon-resizer:1.8.4
1.8.4: Pulling from minminmsn/addon-resizer
90e01955edcd: Pull complete
ab19a0d489ff: Pull complete
Digest: sha256:455eb18aa7a658db4f21c1f2b901c6a274afa7db4b73f4402a26fe9b3993c205
Status: Downloaded newer image for registry.cn-beijing.aliyuncs.com/minminmsn/addon-resizer:1.8.4
[[email protected]_8_24_centos ~]# docker tag registry.cn-beijing.aliyuncs.com/minminmsn/addon-resizer:1.8.4 core-harbor.minminmsn.com/public/addon-resizer:1.8.4
[[email protected]_8_24_centos ~]# docker push core-harbor.minminmsn.com/public/addon-resizer:1.8.4
The push refers to repository [core-harbor.minminmsn.com/public/addon-resizer]
cd05ae2f58b4: Pushed
8a788232037e: Pushed
1.8.4: digest: sha256:455eb18aa7a658db4f21c1f2b901c6a274afa7db4b73f4402a26fe9b3993c205 size: 738
b.访问问题
grafana,prometheus,alermanager等如果不想使用ingres方式访问就需要使用nodeport方式,否则对外不好访问
nodeport方式需在service配置文件,如grafana/grafana-service.yaml 添加type: NodePort,如果要指定node对外端口,需要加配nodePort: 33000,具体可以看配置文件
ingress方式也需要配置文件,ingress配置文件见最后访问配置文件,ingress部署参考k8s集群部署ingress
5.应用部署
[[email protected] manifests]# kubectl apply -f .
namespace/monitoring created
[[email protected] manifests]# kubectl apply -f operator/
customresourcedefinition.apiextensions.k8s.io/alertmanagers.monitoring.coreos.com created
customresourcedefinition.apiextensions.k8s.io/prometheuses.monitoring.coreos.com created
customresourcedefinition.apiextensions.k8s.io/prometheusrules.monitoring.coreos.com created
customresourcedefinition.apiextensions.k8s.io/servicemonitors.monitoring.coreos.com created
clusterrole.rbac.authorization.k8s.io/prometheus-operator created
clusterrolebinding.rbac.authorization.k8s.io/prometheus-operator created
deployment.apps/prometheus-operator created
service/prometheus-operator created
serviceaccount/prometheus-operator created
[[email protected] manifests]# kubectl -n monitoring get pod
NAME READY STATUS RESTARTS AGE
prometheus-operator-7cb68545c6-z2kjn 1/1 Running 0 41s
[[email protected] manifests]# kubectl apply -f adapter/
apiservice.apiregistration.k8s.io/v1beta1.metrics.k8s.io created
clusterrole.rbac.authorization.k8s.io/prometheus-adapter created
clusterrole.rbac.authorization.k8s.io/system:aggregated-metrics-reader created
clusterrolebinding.rbac.authorization.k8s.io/prometheus-adapter created
clusterrolebinding.rbac.authorization.k8s.io/resource-metrics:system:auth-delegator created
clusterrole.rbac.authorization.k8s.io/resource-metrics-server-resources created
configmap/adapter-config created
deployment.apps/prometheus-adapter created
rolebinding.rbac.authorization.k8s.io/resource-metrics-auth-reader created
service/prometheus-adapter created
serviceaccount/prometheus-adapter created
[[email protected] manifests]# kubectl apply -f alertmanager/
alertmanager.monitoring.coreos.com/main created
secret/alertmanager-main created
service/alertmanager-main created
serviceaccount/alertmanager-main created
[[email protected] manifests]# kubectl apply -f node-exporter/
clusterrole.rbac.authorization.k8s.io/node-exporter created
clusterrolebinding.rbac.authorization.k8s.io/node-exporter created
daemonset.apps/node-exporter created
service/node-exporter created
serviceaccount/node-exporter created
[[email protected] manifests]# kubectl apply -f kube-state-metrics/
clusterrole.rbac.authorization.k8s.io/kube-state-metrics created
clusterrolebinding.rbac.authorization.k8s.io/kube-state-metrics created
deployment.apps/kube-state-metrics created
role.rbac.authorization.k8s.io/kube-state-metrics created
rolebinding.rbac.authorization.k8s.io/kube-state-metrics created
service/kube-state-metrics created
serviceaccount/kube-state-metrics created
[[email protected] manifests]# kubectl apply -f grafana/
secret/grafana-datasources created
configmap/grafana-dashboard-k8s-cluster-rsrc-use created
configmap/grafana-dashboard-k8s-node-rsrc-use created
configmap/grafana-dashboard-k8s-resources-cluster created
configmap/grafana-dashboard-k8s-resources-namespace created
configmap/grafana-dashboard-k8s-resources-pod created
configmap/grafana-dashboard-k8s-resources-workload created
configmap/grafana-dashboard-k8s-resources-workloads-namespace created
configmap/grafana-dashboard-nodes created
configmap/grafana-dashboard-persistentvolumesusage created
configmap/grafana-dashboard-pods created
configmap/grafana-dashboard-statefulset created
configmap/grafana-dashboards created
deployment.apps/grafana created
service/grafana created
serviceaccount/grafana created
[[email protected] manifests]# kubectl apply -f prometheus/
clusterrole.rbac.authorization.k8s.io/prometheus-k8s created
clusterrolebinding.rbac.authorization.k8s.io/prometheus-k8s created
prometheus.monitoring.coreos.com/k8s created
rolebinding.rbac.authorization.k8s.io/prometheus-k8s-config created
rolebinding.rbac.authorization.k8s.io/prometheus-k8s created
rolebinding.rbac.authorization.k8s.io/prometheus-k8s created
rolebinding.rbac.authorization.k8s.io/prometheus-k8s created
role.rbac.authorization.k8s.io/prometheus-k8s-config created
role.rbac.authorization.k8s.io/prometheus-k8s created
role.rbac.authorization.k8s.io/prometheus-k8s created
role.rbac.authorization.k8s.io/prometheus-k8s created
prometheusrule.monitoring.coreos.com/prometheus-k8s-rules created
service/prometheus-k8s created
serviceaccount/prometheus-k8s created
[[email protected] manifests]# kubectl apply -f serviceMonitor/
servicemonitor.monitoring.coreos.com/prometheus-operator created
servicemonitor.monitoring.coreos.com/alertmanager created
servicemonitor.monitoring.coreos.com/grafana created
servicemonitor.monitoring.coreos.com/kube-state-metrics created
servicemonitor.monitoring.coreos.com/node-exporter created
servicemonitor.monitoring.coreos.com/prometheus created
servicemonitor.monitoring.coreos.com/kube-apiserver created
servicemonitor.monitoring.coreos.com/coredns created
servicemonitor.monitoring.coreos.com/kube-controller-manager created
servicemonitor.monitoring.coreos.com/kube-scheduler created
servicemonitor.monitoring.coreos.com/kubelet created
6.检查验证
[[email protected] manifests]# kubectl -n monitoring get all
NAME READY STATUS RESTARTS AGE
pod/alertmanager-main-0 2/2 Running 0 91s
pod/alertmanager-main-1 2/2 Running 0 74s
pod/alertmanager-main-2 2/2 Running 0 67s
pod/grafana-fc6fc6f58-22mst 1/1 Running 0 89s
pod/kube-state-metrics-8ffb99887-crhww 4/4 Running 0 82s
pod/node-exporter-925wp 2/2 Running 0 89s
pod/node-exporter-f45s4 2/2 Running 0 89s
pod/prometheus-adapter-66fc7797fd-x6l5x 1/1 Running 0 90s
pod/prometheus-k8s-0 3/3 Running 1 88s
pod/prometheus-k8s-1 3/3 Running 1 88s
pod/prometheus-operator-7cb68545c6-z2kjn 1/1 Running 0 12m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/alertmanager-main ClusterIP 10.254.83.142 <none> 9093/TCP 91s
service/alertmanager-operated ClusterIP None <none> 9093/TCP,6783/TCP 91s
service/grafana NodePort 10.254.162.5 <none> 3000:33000/TCP 89s
service/kube-state-metrics ClusterIP None <none> 8443/TCP,9443/TCP 90s
service/node-exporter ClusterIP None <none> 9100/TCP 90s
service/prometheus-adapter ClusterIP 10.254.123.201 <none> 443/TCP 91s
service/prometheus-k8s ClusterIP 10.254.51.81 <none> 9090/TCP 89s
service/prometheus-operated ClusterIP None <none> 9090/TCP 89s
service/prometheus-operator ClusterIP None <none> 8080/TCP 12m
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
daemonset.apps/node-exporter 2 2 2 2 2 beta.kubernetes.io/os=linux 90s
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/grafana 1/1 1 1 89s
deployment.apps/kube-state-metrics 1/1 1 1 90s
deployment.apps/prometheus-adapter 1/1 1 1 91s
deployment.apps/prometheus-operator 1/1 1 1 12m
NAME DESIRED CURRENT READY AGE
replicaset.apps/grafana-fc6fc6f58 1 1 1 89s
replicaset.apps/kube-state-metrics-68865c459c 0 0 0 90s
replicaset.apps/kube-state-metrics-8ffb99887 1 1 1 82s
replicaset.apps/prometheus-adapter-66fc7797fd 1 1 1 91s
replicaset.apps/prometheus-operator-7cb68545c6 1 1 1 12m
NAME READY AGE
statefulset.apps/alertmanager-main 3/3 91s
statefulset.apps/prometheus-k8s 2/2 89s
7.ingress配置
[[email protected] manifests]# cat ingress-monitor.yaml
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: prometheus-ing
namespace: monitoring
spec:
rules:
- host: prometheus-k8s.minminmsn.com
http:
paths:
- backend:
serviceName: prometheus-k8s
servicePort: 9090
---
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: grafana-ing
namespace: monitoring
spec:
rules:
- host: grafana-k8s.minminmsn.com
http:
paths:
- backend:
serviceName: grafana
servicePort: 3000
---
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
name: alertmanager-ing
namespace: monitoring
spec:
rules:
- host: alertmanager-k8s.minminmsn.com
http:
paths:
- backend:
serviceName: alertmanager-main
servicePort: 9093
[[email protected] manifests]# kubectl apply -f ingress-monitor.yaml
ingress.extensions/prometheus-ing created
ingress.extensions/grafana-ing created
ingress.extensions/alertmanager-ing created
浏览器访问
1.nodeport方式访问
http://10.2.8.65:33000
2.ingress方式访问
http://grafana-k8s.minminmsn.com
默认账号密码admin admin需要重置密码进入
作者:三杯水Plus
链接:https://www.jianshu.com/p/96aa74c22f1a
来源:简书
简书著作权归作者所有,任何形式的转载都请联系作者获得授权并注明出处。
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