kube-promethues配置钉钉告警
前置：k8s部署kube-promethues
一.配置钉钉机器人
-
打开钉钉的智能群助手，点击添加机器人
-
选择自定义机器人
-
勾选加签，复制后保存
-
复制webhook地址后点击保存
二.编写dingtalk的yaml部署文件
vi dingtalk.yaml
apiVersion: v1
kind: Service
metadata:
name: dingtalk
namespace: monitoring
spec:
selector:
app: dingtalk
ports:
- name: http
protocol: TCP
port: 8060
targetPort: 8060
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: dingtalk
namespace: monitoring
labels:
app: dingtalk
spec:
replicas: 1
strategy:
rollingUpdate:
maxSurge: 25%
maxUnavailable: 25%
type: RollingUpdate
selector:
matchLabels:
app: dingtalk
template:
metadata:
labels:
app: dingtalk
spec:
restartPolicy: "Always"
containers:
- name: dingtalk
image: timonwong/prometheus-webhook-dingtalk:v2.1.0
imagePullPolicy: "IfNotPresent"
volumeMounts:
- name: dingtalk-conf
mountPath: /etc/prometheus-webhook-dingtalk/
resources:
limits:
cpu: "400m"
memory: "500Mi"
requests:
cpu: "100m"
memory: "100Mi"
ports:
- containerPort: 8060
name: http
protocol: TCP
readinessProbe:
failureThreshold: 3
periodSeconds: 5
initialDelaySeconds: 30
successThreshold: 1
tcpSocket:
port: 8060
livenessProbe:
tcpSocket:
port: 8060
initialDelaySeconds: 30
periodSeconds: 10
volumes:
- name: dingtalk-conf
configMap:
name: dingtalk-cm
prometheus-webhook-dingtalk是一个开源的钉钉告警的插件，目前最新版停留于v2.1.0
三.编写钉钉告警模板dingtalk-configmap.yaml
vi dingtalk-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: dingtalk-cm
namespace: monitoring
data:
config.yml: |-
templates:
- /etc/prometheus-webhook-dingtalk/dingding.tmpl
targets:
webhook:
url: https://oapi.dingtalk.com/robot/send?access_token=<复制的webhook地址>
secret: "<加签的时候复制的secret>"
message:
text: '{{ template "dingtalk.to.message" . }}'
dingding.tmpl: |-
{{ define "dingtalk.to.message" }}
{{- if gt (len .Alerts.Firing) 0 -}}
{{- range $index, $alert := .Alerts -}}
========= **监控告警** =========
**告警集群:** k8s
**告警类型:** {{ $alert.Labels.alertname }}
**告警级别:** {{ $alert.Labels.severity }}
**告警状态:** {{ .Status }}
**故障主机:** {{ $alert.Labels.instance }} {{ $alert.Labels.device }}
**告警主题:** {{ .Annotations.summary }}
**告警详情:** {{ $alert.Annotations.message }}{{ $alert.Annotations.description}}
**主机标签:** {{ range .Labels.SortedPairs }} </br> [{{ .Name }}: {{ .Value | markdown | html }} ]
{{- end }} </br>
**故障时间:** {{ ($alert.StartsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
========= = **end** = =========
{{- end }}
{{- end }}
{{- if gt (len .Alerts.Resolved) 0 -}}
{{- range $index, $alert := .Alerts -}}
========= **故障恢复** =========
**告警集群:** k8s
**告警主题:** {{ $alert.Annotations.summary }}
**告警主机:** {{ .Labels.instance }}
**告警类型:** {{ .Labels.alertname }}
**告警级别:** {{ $alert.Labels.severity }}
**告警状态:** {{ .Status }}
**告警详情:** {{ $alert.Annotations.message }}{{ $alert.Annotations.description}}
**故障时间:** {{ ($alert.StartsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
**恢复时间:** {{ ($alert.EndsAt.Add 28800e9).Format "2006-01-02 15:04:05" }}
========= = **end** = =========
{{- end }}
{{- end }}
{{- end }}
四.编写文件alertmanager-secret.yaml
该文件是 用来顶替原本kube-promethues部署时的，alertmanager的配置文件
vi alertmanager-secret.yaml
apiVersion: v1
data: { }
kind: Secret
metadata:
name: alertmanager-main
namespace: monitoring
stringData:
alertmanager.yaml: |-
global:
resolve_timeout: 5m
route:
group_by: ['alertname']
group_wait: 30s
group_interval: 5m
repeat_interval: 30m
receiver: 'webhook'
routes:
- match:
severity: 'info'
continue: true
receiver: 'null'
- match:
severity: 'none'
continue: true
receiver: 'null'
receivers:
- name: 'null'
- name: 'webhook'
webhook_configs:
- send_resolved: true
url: 'http://dingtalk:8060/dingtalk/webhook/send'
五.添加Prometheus告警规则
因为kube-promethues默认的告警规则大部分都和K8s的pod相关，所以需要新增一些关于node节点的告警规则
- name: 主机状态-监控告警
rules:
- alert: 节点内存
expr: (1 - (node_memory_MemAvailable_bytes / (node_memory_MemTotal_bytes)))* 100 > 85
for: 1m
labels:
severity: warning
annotations:
summary: "内存使用率过高！"
description: "节点{{$labels.instance}} 内存使用大于85%(目前使用:{{$value}}%)"
- alert: 节点TCP会话
expr: node_netstat_Tcp_CurrEstab > 1000
for: 1m
labels:
severity: warning
annotations:
summary: "TCP_ESTABLISHED过高！"
description: "{{$labels.instance }} TCP_ESTABLISHED大于1000%(目前使用:{{$value}}%)"
- alert: 节点磁盘容量
expr: max((node_filesystem_size_bytes{fstype=~"ext.?|xfs"}-node_filesystem_free_bytes{fstype=~"ext.?|xfs"}) *100/(node_filesystem_avail_bytes {fstype=~"ext.?|xfs"}+(node_filesystem_size_bytes{fstype=~"ext.?|xfs"}-node_filesystem_free_bytes{fstype=~"ext.?|xfs"})))by(instance) > 80
for: 1m
labels:
severity: warning
annotations:
summary: "节点磁盘分区使用率过高！"
description: "{{$labels.instance }} 磁盘分区使用大于80%(目前使用:{{$value}}%)"
- alert: 节点CPU
expr: (100 - (avg by (instance) (irate(node_cpu_seconds_total{job=~".*",mode="idle"}[5m])) * 100)) > 85
for: 1m
labels:
severity: warning
annotations:
summary: "节点CPU使用率过高！"
description: "{{$labels.instance }} CPU使用率大于80%(目前使用:{{$value}}%)"
将此段配置添加到kube-promethues解压目录manifests/prometheus中的prometheus-rules.yaml底部即可。
#然后执行更新prometheus-rules.yaml
kubectl apply -f prometheus-rules.yaml
#重启Promethus看见下图有新增的告警规则即配置成功
六.部署其他并检查是否运行成功
kubectl apply -f alertmanager-secret.yaml
kubectl apply -f dingtalk-configmap.yaml
kubectl apply -f dingtalk.yaml
#查看是否部署成功
kubectl get pods -n monitoring | grep dingtalk
dingtalk部署成功后，重新部署alertmanager就行了。
