prometheus搭建

Posted 2022-02-17 jxsdbk

因为K8s集群版本为1.18，所以我们用0.5的版本

git clone -b release-0.5 --single-branch https://github.com.cnpmjs.org/coreos/kube-prometheus.git
kubectl apply -f kube-prometheus/manifests/setup/*
kubectl apply -f kube-prometheus/manifests/*

待全部pod起来后

vim kube-prometheus/manifests/grafana-service.yaml

用nodeport的方式暴露service、

就可以使用10.0.12.101:32102登录了

默认用户名和mima都是admin

如果要配置告警

修改/root/kube-prometheus/manifests/alertmanager-secret.yaml文件

apiVersion: v1
data: 
kind: Secret
metadata:
  name: alertmanager-main
  namespace: monitoring
stringData:
  alertmanager.yaml: |-
    global:
      resolve_timeout: 1m # 处理超时时间
      smtp_smarthost: smtp.qq.com:465 # 邮箱smtp服务器代理
      smtp_from: ****<strong>@qq.com # 发送邮箱名称
      smtp_auth_username: </strong>*<strong>@qq.com # 邮箱名称
      smtp_auth_password: </strong>****<strong> # 授权mima
      smtp_require_tls: false # 不开启tls 默认开启

    receivers:
    - name: Default
      email_configs: # 邮箱配置
      - to: "</strong>*****@qq.com" # 接收警报的email配置

    route:
      group_interval: 1m # 在发送新警报前的等待时间
      group_wait: 10s # 最初即第一次等待多久时间发送一组警报的通知
      receiver: Default
      repeat_interval: 1m # 发送重复警报的周期
type: Opaque

上面邮箱可根据自己需求更改

数据持久化prometheus（locolhost）

先创建sc

vim  promethues-sc.yaml

kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
  name: local-storage
provisioner: kubernetes.io/no-provisioner
volumeBindingMode: WaitForFirstConsumer

再创建pv

vim pv.yaml

apiVersion: v1
kind: PersistentVolume
metadata:
  name: prom-local-pv-0
  labels:
    app: prometheus
spec:
  capacity:
    storage: 50Gi
  volumeMode: Filesystem
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /data/prometheus-db
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - moa-k8s-prometheus-01

修改prometheus-prometheus.yaml文件

storage:
    volumeClaimTemplate:
      spec:
        selector:
          matchLabels:
            app: prometheus
        storageClassName: local-storage
        resources:
          requests:
            storage: 50Gi

然后执行kubectl apply -f prometheus-prometheus.yaml
可以使用Kubectl get pv查看pv的状态

NAME              CAPACITY   ACCESS MODES   RECLAIM POLICY   STATUS   CLAIM                                           STORAGECLASS    REASON   AGE
prom-local-pv-0   50Gi       RWO            Retain           Bound    monitoring/prometheus-k8s-db-prometheus-k8s-0   local-storage            7m37s

可以看出状态已经bound了，就可以去目录看有没有数据了

修改prometheus-operator数据存储时间

​​prometheus operator数据保留天数​​，根据官方文档的说明，​​默认prometheus operator数据存储的时间为1d​​，这个时候无论你prometheus operator如何进行持久化，都没有作用，因为数据只保留了1天，那么你是无法看到更多天数的数据

vim prometheus-prometheus.yml

然后重新apply，查看服务状态

监控其他服务

1. 监控redis

部署redis_exporter

wget https://github.com/oliver006/redis_exporter/releases/download/v1.12.1/redis_exporter-v1.12.1.linux-amd64.tar.gz

tar -zxvf   redis_exporter-v1.12.1.linux-amd64.tar.gz./redis_exporter -redis.addr=10.0.13.104:6379  -redis.password=2RIQdfmfgdUrPJ83qbNDYzbu2m  -web.listen-address=10.0.13.104:9121   &

在Kube-prometheus创建 endpoint service servicemonitor

apiVersion: v1
kind: Endpoints
metadata:
  name: redis-metrics
  namespace: monitoring
  labels:
    k8s-app: redis-metrics
subsets:
- addresses:
    - ip: 10.0.13.104
  ports:
  - name: redis-exporter
    port: 9121
    protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
  name: redis-metrics
  namespace: monitoring
  labels:
    k8s-app: redis-metrics
spec:
  type: ClusterIP
  clusterIP: None
  ports:
  - name: redis-exporter
    port: 9121
    protocol: TCP
---
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: redis-metrics
  namespace: monitoring
  labels:
    app: redis-metrics
    k8s-app: redis-metrics
    prometheus: kube-prometheus
    release: kube-prometheus
spec:
  endpoints:
  - port: redis-exporter
    interval: 15s
  selector:
    matchLabels:
      k8s-app: redis-metrics
  namespaceSelector:
    matchNames:
    - monitoring

kubectl create -f  redis-monitor.yaml
kubectl delete -f prometheus-prometheus.yaml

模板11692

2. 监控mysql

https://github.com/prometheus/mysqld_exporter/releases
mysql_exporter下载地址下0.12.0的
https://www.cnblogs.com/jasonminghao/p/12715018.html 文档地址

mysql_exporter部署

1.下载mysql_exporter并解压

$ tar xf /opt/src/mysqld_exporter-0.12.1.linux-amd64.tar.gz

// 将mysql_exporter二进制文件拷贝至/usr/local/bin
$ cp /opt/src/mysqld_exporter-0.12.1.linux-amd64/mysqld_exporter /usr/local/bin/

2.需要授权用户给exporter使用

> CREATE USER exporter@localhost IDENTIFIED BY abc12345 WITH MAX_USER_CONNECTIONS 5;

// 可查看主从运行情况查看线程，及所有数据库。
> GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO exporter@localhost;

为该用户设置最大连接数为了避免监控数据过大导致服务器超载

3.修改mysql配置文件，添加刚才创建的exporter用户和mima

$ vim /etc/my.cnf
[client]
user=exporter
password=abc12345

4.启动exporter客户端，需指定mysql配置文件，读取exporter用户和mima

$ mysqld_exporter --config.my-cnf=/etc/my.cnf

常用参数：
// 选择采集innodb
--collect.info_schema.innodb_cmp
// innodb存储引擎状态
--collect.engine_innodb_status
// 指定配置文件
--config.my-cnf="/etc/my.cnf"

5.添加system系统服务

$ vim /usr/lib/systemd/system/mysql_exporter.service
[Unit]
Description=Prometheus
Wants=network-online.target
After=network-online.target

[Service]
User=root
Group=root
Type=simple
ExecStart=/usr/local/bin/mysqld_exporter \\
--config.my-cnf=/etc/my.cnf

[Install]
WantedBy=multi-user.target

6.启动添加的system服务

$ systemctl daemon-reload
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