一.配置Alertmanager告警發(fā)送至郵箱

1.創(chuàng)建AlertManager ConfigMap資源清單

vim alertmanager-cm.yaml
---
kind: ConfigMap
apiVersion: v1
metadata:
  name: alertmanager
  namespace: prometheus
data:
  alertmanager.yml: |-
    global:  
      resolve_timeout: 1m
      smtp_smarthost: 'smtp.qq.com:25'
      smtp_from: '1657310554@qq.com'  # 從這個(gè)郵箱發(fā)送告警
      smtp_auth_username: '1657310554@qq.com'  # 發(fā)送告警郵箱賬號(hào)
      smtp_auth_password: 'rehtuhigsemwbbbe'   # 郵箱驗(yàn)證碼,用自己的郵箱驗(yàn)證碼
      smtp_require_tls: false
    route:   # 路由配置(將郵箱發(fā)送那個(gè)路由)
      group_by: [alertname]
      group_wait: 10s
      group_interval: 10s
      repeat_interval: 10m
      receiver: default-receiver   # 告警發(fā)送到default-receiver接受者
    receivers:
    - name: 'default-receiver'     # 定義default-receiver接受者
      email_configs:
      - to: '1657310554@qq.com'   # 告警發(fā)送郵箱地址
        send_resolved: true

執(zhí)行YAML資源清單：

kubectl apply -f alertmanager-cm.yaml

2.配置文件核心配置說(shuō)明

• group_by: [alertname]：采用哪個(gè)標(biāo)簽來(lái)作為分組依據(jù)。
• group_wait：10s：組告警等待時(shí)間。就是告警產(chǎn)生后等待10s，如果有同組告警一起發(fā)出。
• group_interval: 10s ：上下兩組發(fā)送告警的間隔時(shí)間。
• repeat_interval: 10m：重復(fù)發(fā)送告警的時(shí)間，減少相同郵件的發(fā)送頻率，默認(rèn)是1h。
• receiver: default-receiver：定義誰(shuí)來(lái)收告警。
• smtp_smarthost： SMTP服務(wù)器地址+端口。
• smtp_from：指定從哪個(gè)郵箱發(fā)送報(bào)警。
• smtp_auth_username：郵箱賬號(hào)。
• smtp_auth_password: 郵箱密碼(授權(quán)碼)。

二.Prometheus接入AlertManager

1.創(chuàng)建新的Prometheus ConfigMap資源清單，添加監(jiān)控K8S集群告警規(guī)則

vim prometheus-alertmanager-cfg.yaml
---
kind: ConfigMap
apiVersion: v1
metadata:
  labels:
    app: prometheus
  name: prometheus-config
  namespace: prometheus
data:
  prometheus.yml: |
    rule_files: 
    - /etc/prometheus/rules.yml   # 告警規(guī)則位置
    alerting:
      alertmanagers:
      - static_configs:
        - targets: ["localhost:9093"] # 接入AlterManager
    global:
      scrape_interval: 15s
      scrape_timeout: 10s
      evaluation_interval: 1m
    scrape_configs:
    - job_name: 'kubernetes-node'
      kubernetes_sd_configs:
      - role: node
      relabel_configs:
      - source_labels: [__address__]
        regex: '(.*):10250'
        replacement: '${1}:9100'
        target_label: __address__
        action: replace
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
    - job_name: 'kubernetes-node-cadvisor'
      kubernetes_sd_configs:
      - role:  node
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
      relabel_configs:
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)
      - target_label: __address__
        replacement: kubernetes.default.svc:443
      - source_labels: [__meta_kubernetes_node_name]
        regex: (.+)
        target_label: __metrics_path__
        replacement: /api/v1/nodes/${1}/proxy/metrics/cadvisor
    - job_name: 'kubernetes-apiserver'
      kubernetes_sd_configs:
      - role: endpoints
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
      bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
      relabel_configs:
      - source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
        action: keep
        regex: default;kubernetes;https
    - job_name: 'kubernetes-service-endpoints'
      kubernetes_sd_configs:
      - role: endpoints
      relabel_configs:
      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]
        action: keep
        regex: true
      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]
        action: replace
        target_label: __scheme__
        regex: (https?)
      - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]
        action: replace
        target_label: __metrics_path__
        regex: (.+)
      - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]
        action: replace
        target_label: __address__
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
      - action: labelmap
        regex: __meta_kubernetes_service_label_(.+)
      - source_labels: [__meta_kubernetes_namespace]
        action: replace
        target_label: kubernetes_namespace
      - source_labels: [__meta_kubernetes_service_name]
        action: replace
        target_label: kubernetes_name 
    - job_name: 'kubernetes-pods'    # 監(jiān)控Pod配置,添加注解后才可以被發(fā)現(xiàn)
      kubernetes_sd_configs:
      - role: pod
      relabel_configs:
      - action: keep
        regex: true
        source_labels:
        - __meta_kubernetes_pod_annotation_prometheus_io_scrape
      - action: replace
        regex: (.+)
        source_labels:
        - __meta_kubernetes_pod_annotation_prometheus_io_path
        target_label: __metrics_path__
      - action: replace
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
        source_labels:
        - __address__
        - __meta_kubernetes_pod_annotation_prometheus_io_port
        target_label: __address__
      - action: labelmap
        regex: __meta_kubernetes_pod_label_(.+)
      - action: replace
        source_labels:
        - __meta_kubernetes_namespace
        target_label: kubernetes_namespace
      - action: replace
        source_labels:
        - __meta_kubernetes_pod_name
        target_label: kubernetes_pod_name
    - job_name: 'kubernetes-etcd'   # 監(jiān)控etcd配置
      scheme: https
      tls_config:
        ca_file: /var/run/secrets/kubernetes.io/k8s-certs/etcd/ca.crt
        cert_file: /var/run/secrets/kubernetes.io/k8s-certs/etcd/server.crt
        key_file: /var/run/secrets/kubernetes.io/k8s-certs/etcd/server.key
      scrape_interval: 5s
      static_configs:
      - targets: ['192.168.40.180:2379'] # ip為master1的ip
  rules.yml: |  # K8S集群告警規(guī)則配置文件
    groups:
    - name: example
      rules:
      - alert: apiserver的cpu使用率大于80%
        expr: rate(process_cpu_seconds_total{job=~"kubernetes-apiserver"}[1m]) * 100 > 80
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}組件的cpu使用率超過(guò)80%"
      - alert:  apiserver的cpu使用率大于90%
        expr: rate(process_cpu_seconds_total{job=~"kubernetes-apiserver"}[1m]) * 100 > 90
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}組件的cpu使用率超過(guò)90%"
      - alert: etcd的cpu使用率大于80%
        expr: rate(process_cpu_seconds_total{job=~"kubernetes-etcd"}[1m]) * 100 > 80
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}組件的cpu使用率超過(guò)80%"
      - alert:  etcd的cpu使用率大于90%
        expr: rate(process_cpu_seconds_total{job=~"kubernetes-etcd"}[1m]) * 100 > 90
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}組件的cpu使用率超過(guò)90%"
      - alert: kube-state-metrics的cpu使用率大于80%
        expr: rate(process_cpu_seconds_total{k8s_app=~"kube-state-metrics"}[1m]) * 100 > 80
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.k8s_app}}組件的cpu使用率超過(guò)80%"
          value: "{{ $value }}%"
          threshold: "80%"      
      - alert: kube-state-metrics的cpu使用率大于90%
        expr: rate(process_cpu_seconds_total{k8s_app=~"kube-state-metrics"}[1m]) * 100 > 0
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.k8s_app}}組件的cpu使用率超過(guò)90%"
          value: "{{ $value }}%"
          threshold: "90%"      
      - alert: coredns的cpu使用率大于80%
        expr: rate(process_cpu_seconds_total{k8s_app=~"kube-dns"}[1m]) * 100 > 80
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.k8s_app}}組件的cpu使用率超過(guò)80%"
          value: "{{ $value }}%"
          threshold: "80%"      
      - alert: coredns的cpu使用率大于90%
        expr: rate(process_cpu_seconds_total{k8s_app=~"kube-dns"}[1m]) * 100 > 90
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.k8s_app}}組件的cpu使用率超過(guò)90%"
          value: "{{ $value }}%"
          threshold: "90%"      
      - alert: kube-proxy打開(kāi)句柄數(shù)>600
        expr: process_open_fds{job=~"kubernetes-kube-proxy"}  > 600
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>600"
          value: "{{ $value }}"
      - alert: kube-proxy打開(kāi)句柄數(shù)>1000
        expr: process_open_fds{job=~"kubernetes-kube-proxy"}  > 1000
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>1000"
          value: "{{ $value }}"
      - alert: kubernetes-schedule打開(kāi)句柄數(shù)>600
        expr: process_open_fds{job=~"kubernetes-schedule"}  > 600
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>600"
          value: "{{ $value }}"
      - alert: kubernetes-schedule打開(kāi)句柄數(shù)>1000
        expr: process_open_fds{job=~"kubernetes-schedule"}  > 1000
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>1000"
          value: "{{ $value }}"
      - alert: kubernetes-controller-manager打開(kāi)句柄數(shù)>600
        expr: process_open_fds{job=~"kubernetes-controller-manager"}  > 600
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>600"
          value: "{{ $value }}"
      - alert: kubernetes-controller-manager打開(kāi)句柄數(shù)>1000
        expr: process_open_fds{job=~"kubernetes-controller-manager"}  > 1000
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>1000"
          value: "{{ $value }}"
      - alert: kubernetes-apiserver打開(kāi)句柄數(shù)>600
        expr: process_open_fds{job=~"kubernetes-apiserver"}  > 600
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>600"
          value: "{{ $value }}"
      - alert: kubernetes-apiserver打開(kāi)句柄數(shù)>1000
        expr: process_open_fds{job=~"kubernetes-apiserver"}  > 1000
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>1000"
          value: "{{ $value }}"
      - alert: kubernetes-etcd打開(kāi)句柄數(shù)>600
        expr: process_open_fds{job=~"kubernetes-etcd"}  > 600
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>600"
          value: "{{ $value }}"
      - alert: kubernetes-etcd打開(kāi)句柄數(shù)>1000
        expr: process_open_fds{job=~"kubernetes-etcd"}  > 1000
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "{{$labels.instance}}的{{$labels.job}}打開(kāi)句柄數(shù)>1000"
          value: "{{ $value }}"
      - alert: coredns
        expr: process_open_fds{k8s_app=~"kube-dns"}  > 600
        for: 2s
        labels:
          severity: warnning 
        annotations:
          description: "插件{{$labels.k8s_app}}({{$labels.instance}}): 打開(kāi)句柄數(shù)超過(guò)600"
          value: "{{ $value }}"
      - alert: coredns
        expr: process_open_fds{k8s_app=~"kube-dns"}  > 1000
        for: 2s
        labels:
          severity: critical
        annotations:
          description: "插件{{$labels.k8s_app}}({{$labels.instance}}): 打開(kāi)句柄數(shù)超過(guò)1000"
          value: "{{ $value }}"
      - alert: kube-proxy
        expr: process_virtual_memory_bytes{job=~"kubernetes-kube-proxy"}  > 2000000000
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): 使用虛擬內(nèi)存超過(guò)2G"
          value: "{{ $value }}"
      - alert: scheduler
        expr: process_virtual_memory_bytes{job=~"kubernetes-schedule"}  > 2000000000
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): 使用虛擬內(nèi)存超過(guò)2G"
          value: "{{ $value }}"
      - alert: kubernetes-controller-manager
        expr: process_virtual_memory_bytes{job=~"kubernetes-controller-manager"}  > 2000000000
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): 使用虛擬內(nèi)存超過(guò)2G"
          value: "{{ $value }}"
      - alert: kubernetes-apiserver
        expr: process_virtual_memory_bytes{job=~"kubernetes-apiserver"}  > 2000000000
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): 使用虛擬內(nèi)存超過(guò)2G"
          value: "{{ $value }}"
      - alert: kubernetes-etcd
        expr: process_virtual_memory_bytes{job=~"kubernetes-etcd"}  > 2000000000
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): 使用虛擬內(nèi)存超過(guò)2G"
          value: "{{ $value }}"
      - alert: kube-dns
        expr: process_virtual_memory_bytes{k8s_app=~"kube-dns"}  > 2000000000
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "插件{{$labels.k8s_app}}({{$labels.instance}}): 使用虛擬內(nèi)存超過(guò)2G"
          value: "{{ $value }}"
      - alert: HttpRequestsAvg
        expr: sum(rate(rest_client_requests_total{job=~"kubernetes-kube-proxy|kubernetes-kubelet|kubernetes-schedule|kubernetes-control-manager|kubernetes-apiservers"}[1m]))  > 1000
        for: 2s
        labels:
          team: admin
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): TPS超過(guò)1000"
          value: "{{ $value }}"
          threshold: "1000"   
      - alert: Pod_restarts
        expr: kube_pod_container_status_restarts_total{namespace=~"kube-system|default|monitor-sa"} > 0
        for: 2s
        labels:
          severity: warnning
        annotations:
          description: "在{{$labels.namespace}}名稱(chēng)空間下發(fā)現(xiàn){{$labels.pod}}這個(gè)pod下的容器{{$labels.container}}被重啟,這個(gè)監(jiān)控指標(biāo)是由{{$labels.instance}}采集的"
          value: "{{ $value }}"
          threshold: "0"
      - alert: Pod_waiting
        expr: kube_pod_container_status_waiting_reason{namespace=~"kube-system|default"} == 1
        for: 2s
        labels:
          team: admin
        annotations:
          description: "空間{{$labels.namespace}}({{$labels.instance}}): 發(fā)現(xiàn){{$labels.pod}}下的{{$labels.container}}啟動(dòng)異常等待中"
          value: "{{ $value }}"
          threshold: "1"   
      - alert: Pod_terminated
        expr: kube_pod_container_status_terminated_reason{namespace=~"kube-system|default|monitor-sa"} == 1
        for: 2s
        labels:
          team: admin
        annotations:
          description: "空間{{$labels.namespace}}({{$labels.instance}}): 發(fā)現(xiàn){{$labels.pod}}下的{{$labels.container}}被刪除"
          value: "{{ $value }}"
          threshold: "1"
      - alert: Etcd_leader
        expr: etcd_server_has_leader{job="kubernetes-etcd"} == 0
        for: 2s
        labels:
          team: admin
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): 當(dāng)前沒(méi)有l(wèi)eader"
          value: "{{ $value }}"
          threshold: "0"
      - alert: Etcd_leader_changes
        expr: rate(etcd_server_leader_changes_seen_total{job="kubernetes-etcd"}[1m]) > 0
        for: 2s
        labels:
          team: admin
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): 當(dāng)前l(fā)eader已發(fā)生改變"
          value: "{{ $value }}"
          threshold: "0"
      - alert: Etcd_failed
        expr: rate(etcd_server_proposals_failed_total{job="kubernetes-etcd"}[1m]) > 0
        for: 2s
        labels:
          team: admin
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}}): 服務(wù)失敗"
          value: "{{ $value }}"
          threshold: "0"
      - alert: Etcd_db_total_size
        expr: etcd_debugging_mvcc_db_total_size_in_bytes{job="kubernetes-etcd"} > 10000000000
        for: 2s
        labels:
          team: admin
        annotations:
          description: "組件{{$labels.job}}({{$labels.instance}})：db空間超過(guò)10G"
          value: "{{ $value }}"
          threshold: "10G"
      - alert: Endpoint_ready
        expr: kube_endpoint_address_not_ready{namespace=~"kube-system|default"} == 1
        for: 2s
        labels:
          team: admin
        annotations:
          description: "空間{{$labels.namespace}}({{$labels.instance}}): 發(fā)現(xiàn){{$labels.endpoint}}不可用"
          value: "{{ $value }}"
          threshold: "1"
    - name: 物理節(jié)點(diǎn)狀態(tài)-監(jiān)控告警
      rules:
      - alert: 物理節(jié)點(diǎn)cpu使用率
        expr: 100-avg(irate(node_cpu_seconds_total{mode="idle"}[5m])) by(instance)*100 > 90
        for: 2s
        labels:
          severity: ccritical
        annotations:
          summary: "{{ $labels.instance }}cpu使用率過(guò)高"
          description: "{{ $labels.instance }}的cpu使用率超過(guò)90%,當(dāng)前使用率[{{ $value }}],需要排查處理" 
      - alert: 物理節(jié)點(diǎn)內(nèi)存使用率
        expr: (node_memory_MemTotal_bytes - (node_memory_MemFree_bytes + node_memory_Buffers_bytes + node_memory_Cached_bytes)) / node_memory_MemTotal_bytes * 100 > 90
        for: 2s
        labels:
          severity: critical
        annotations:
          summary: "{{ $labels.instance }}內(nèi)存使用率過(guò)高"
          description: "{{ $labels.instance }}的內(nèi)存使用率超過(guò)90%,當(dāng)前使用率[{{ $value }}],需要排查處理"
      - alert: InstanceDown
        expr: up == 0
        for: 2s
        labels:
          severity: critical
        annotations:   
          summary: "{{ $labels.instance }}: 服務(wù)器宕機(jī)"
          description: "{{ $labels.instance }}: 服務(wù)器延時(shí)超過(guò)2分鐘"
      - alert: 物理節(jié)點(diǎn)磁盤(pán)的IO性能
        expr: 100-(avg(irate(node_disk_io_time_seconds_total[1m])) by(instance)* 100) < 60
        for: 2s
        labels:
          severity: critical
        annotations:
          summary: "{{$labels.mountpoint}} 流入磁盤(pán)IO使用率過(guò)高！"
          description: "{{$labels.mountpoint }} 流入磁盤(pán)IO大于60%(目前使用:{{$value}})"
      - alert: 入網(wǎng)流量帶寬
        expr: ((sum(rate (node_network_receive_bytes_total{device!~'tap.*|veth.*|br.*|docker.*|virbr*|lo*'}[5m])) by (instance)) / 100) > 102400
        for: 2s
        labels:
          severity: critical
        annotations:
          summary: "{{$labels.mountpoint}} 流入網(wǎng)絡(luò)帶寬過(guò)高！"
          description: "{{$labels.mountpoint }}流入網(wǎng)絡(luò)帶寬持續(xù)5分鐘高于100M. RX帶寬使用率{{$value}}"
      - alert: 出網(wǎng)流量帶寬
        expr: ((sum(rate (node_network_transmit_bytes_total{device!~'tap.*|veth.*|br.*|docker.*|virbr*|lo*'}[5m])) by (instance)) / 100) > 102400
        for: 2s
        labels:
          severity: critical
        annotations:
          summary: "{{$labels.mountpoint}} 流出網(wǎng)絡(luò)帶寬過(guò)高！"
          description: "{{$labels.mountpoint }}流出網(wǎng)絡(luò)帶寬持續(xù)5分鐘高于100M. RX帶寬使用率{{$value}}"
      - alert: TCP會(huì)話(huà)
        expr: node_netstat_Tcp_CurrEstab > 1000
        for: 2s
        labels:
          severity: critical
        annotations:
          summary: "{{$labels.mountpoint}} TCP_ESTABLISHED過(guò)高！"
          description: "{{$labels.mountpoint }} TCP_ESTABLISHED大于1000%(目前使用:{{$value}}%)"
      - alert: 磁盤(pán)容量
        expr: 100-(node_filesystem_free_bytes{fstype=~"ext4|xfs"}/node_filesystem_size_bytes {fstype=~"ext4|xfs"}*100) > 80
        for: 2s
        labels:
          severity: critical
        annotations:
          summary: "{{$labels.mountpoint}} 磁盤(pán)分區(qū)使用率過(guò)高！"
          description: "{{$labels.mountpoint }} 磁盤(pán)分區(qū)使用大于80%(目前使用:{{$value}}%)"

執(zhí)行資源清單：

kubectl apply -f prometheus-alertmanager-cfg.yaml

2.由于在prometheus中新增了etcd，所以生成一個(gè)etcd-certs，這個(gè)在部署prometheus需要

kubectl -n prometheus create secret generic etcd-certs --from-file=/etc/kubernetes/pki/etcd/

三.部署Prometheus+AlterManager(放到一個(gè)Pod中)

1.在node1節(jié)點(diǎn)創(chuàng)建/data/alertmanager目錄，存放alertmanager數(shù)據(jù)

mkdir /data/alertmanager -p
chmod -R 777 /data/alertmanager

2.刪除舊的prometheus deployment資源

kubectl delete deploy prometheus-server -n prometheus

3.創(chuàng)建deployment資源

vim prometheus-alertmanager-deploy.yaml
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: prometheus-server
  namespace: prometheus
  labels:
    app: prometheus
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prometheus
      component: server
  template:
    metadata:
      labels:
        app: prometheus
        component: server
      annotations:
        prometheus.io/scrape: 'false'
    spec:
      nodeName: node1 # 調(diào)度到node1節(jié)點(diǎn)
      serviceAccountName: prometheus # 指定sa服務(wù)賬號(hào)
      containers:
      - name: prometheus
        image: prom/prometheus:v2.33.5
        imagePullPolicy: IfNotPresent
        command:
        - "/bin/prometheus"
        args:
        - "--config.file=/etc/prometheus/prometheus.yml"
        - "--storage.tsdb.path=/prometheus"
        - "--storage.tsdb.retention=24h"
        - "--web.enable-lifecycle"
        ports:
        - containerPort: 9090
          protocol: TCP
        volumeMounts:
        - mountPath: /etc/prometheus
          name: prometheus-config
        - mountPath: /prometheus/
          name: prometheus-storage-volume
        - name: k8s-certs
          mountPath: /var/run/secrets/kubernetes.io/k8s-certs/etcd/
      - name: alertmanager
        image: prom/alertmanager:v0.23.0
        imagePullPolicy: IfNotPresent
        args:
        - "--config.file=/etc/alertmanager/alertmanager.yml"
        - "--log.level=debug"
        ports:
        - containerPort: 9093
          protocol: TCP
          name: alertmanager
        volumeMounts:
        - name: alertmanager-config
          mountPath: /etc/alertmanager
        - name: alertmanager-storage
          mountPath: /alertmanager
        - name: localtime
          mountPath: /etc/localtime
      volumes:
        - name: prometheus-config
          configMap:
            name: prometheus-config
        - name: prometheus-storage-volume
          hostPath:
           path: /data
           type: Directory
        - name: k8s-certs
          secret:
           secretName: etcd-certs
        - name: alertmanager-config
          configMap:
            name: alertmanager
        - name: alertmanager-storage
          hostPath:
           path: /data/alertmanager
           type: DirectoryOrCreate
        - name: localtime
          hostPath:
           path: /usr/share/zoneinfo/Asia/Shanghai

執(zhí)行YAML資源清單：

kubectl apply -f prometheus-alertmanager-deploy.yaml

查看狀態(tài)：

kubectl get pods -n prometheus

4.創(chuàng)建AlertManager SVC資源

vim alertmanager-svc.yaml 
---
apiVersion: v1
kind: Service
metadata:
  labels:
    name: prometheus
    kubernetes.io/cluster-service: 'true'
  name: alertmanager
  namespace: prometheus
spec:
  ports:
  - name: alertmanager
    nodePort: 30066
    port: 9093
    protocol: TCP
    targetPort: 9093
  selector:
    app: prometheus
  sessionAffinity: None
  type: NodePort

執(zhí)行YAML資源清單：

kubectl apply -f alertmanager-svc.yaml 

查看狀態(tài)：

kubectl get svc -n prometheus

四. 測(cè)試告警

瀏覽器訪(fǎng)問(wèn)：http://IP:30066

如上圖可以看到，Prometheus的告警信息已經(jīng)發(fā)到AlterManager了，AlertManager收到報(bào)警數(shù)據(jù)后，會(huì)將警報(bào)信息進(jìn)行分組，然后根據(jù)AlertManager配置的 group_wait 時(shí)間先進(jìn)行等待。等wait時(shí)間過(guò)后再發(fā)送報(bào)警信息至郵件！
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