Prometheus数据持久化存储(二)

Prometheus(普罗米修斯)

Prometheus数据持久化存储(二)

Prometheus+Influx+Grafana+Mysql数据持久化存储

  • Prometheus的存储数据库默认只保留15天的数据,Grafana存储的配置以及图表都还在容器之中它自己生成的sqlit数据库中长期存储并不友好。
  • 为了更适应老板的需求,长期存储数据,我们可以添加时序数据库InfluxDB作为prometheus后端存储,可以修改grafana的存储为mysql以便自己做一些自定义操作的时候方便一点。

Prometheus+Influx存储数据

cat docker-compose-prometheus-influxdb.yml

version: "2.3"
services:
  prometheus:
    image: prom/prometheus:latest
    container_name: prometheus
    hostname: prometheus
    restart: always
    volumes:
      - /prometheus/prometheus/config:/etc/prometheus
      - /prometheus/prometheus/data:/prometheus
      - /etc/localtime:/etc/localtime
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      - '--log.level=info'
      - '--web.listen-address=0.0.0.0:9090'
      - '--storage.tsdb.path=/prometheus'
      - '--storage.tsdb.retention=15d'
      - '--query.max-concurrency=50'
      - '--web.enable-lifecycle'
    ports:
      - "9090:9090"
    depends_on:
      - influxdb
    logging:
      driver: "json-file"
      options:
        max-size: "1g"
    networks:
      - prom_monitor
  influxdb:
    image: influxdb:latest
    container_name: influxdb
    hostname: influxdb
    restart: always
    volumes:
      - /prometheus/prometheus/influxdb/config:/etc/influxdb
      - /prometheus/prometheus/influxdb/data:/var/lib/influxdb/data
      - /etc/localtime:/etc/localtime
    ports:
      - "8086:8086"
      - "8083:8083"
    environment:
      - INFLUXDB_DB=prometheus
      - INFLUXDB_ADMIN_ENABLED=true
      - INFLUXDB_ADMIN_USER=admin
      - INFLUXDB_ADMIN_PASSWORD=adminpwd
      - INFLUXDB_USER=prometheus
      - INFLUXDB_USER_PASSWORD=prometheuspwd
      - INFLUXDB_CONFIG_PATH=/etc/influxdb/influxdb.conf
    logging:
      driver: "json-file"
      options:
        max-size: "1g"
    networks:
      - prom_monitor

networks:
  prom_monitor:
    driver: bridge

mkdir -p influxdb/data influxdb/config

cat influxdb/config/influxdb.conf

[meta]
  dir = "/var/lib/influxdb/meta"

[data]
  dir = "/var/lib/influxdb/data"
  engine = "tsm1"
  wal-dir = "/var/lib/influxdb/wal"

通过以上文件看出,重新指定了Prometheus的存储数据库为InfluxDB,当然,还需要配置Prometheus.yml文件。

cat config/prometheus.yml
在Prometheus的配置文件中,添加远程读写。

# 指定了Prometheus的存储数据库为InfluxDB
remote_write:
  - url: "http://influxdb:8086/api/v1/prom/write?db=prometheus&u=prometheus&p=prometheuspwd"
remote_read:
  - url: "http://influxdb:8086/api/v1/prom/read?db=prometheus&u=prometheus&p=prometheuspwd"

其它配置:

cat config/prometheus.yml
添加如下配置

scrape_configs:
  - job_name: 'linux-server'	# 定义任务名
    scrape_interval: 5s
    static_configs:
    file_sd_configs:
      - files:
        - '/etc/prometheus/fileconfig/*-nodes.json'
  • file_sd_configs启动prometheus的文件发现功能,可以将配置主机等信息写入文件中,如果用户修改了配置,比如增加或删除了某些主机,那么Prometheus会自动发现这些更改。

cat config/fileconfig/office-nodes.json

[
    {
        "targets": ["192.168.1.20:9100"],
        "labels": {
            "instance": "192.168.1.20",
            "alias": "office0",
            "job": "node"
        }
    },
    {
        "targets": ["192.168.1.17:9111"],
        "labels": {
            "instance": "192.168.1.17",
            "alias": "office3",
            "job": "node"
        }
    }
]

登录influxdb数据库查看相应的数据信息

docker exec -it influxdb bash

influx

use prometheus
show MEASUREMENTS
select * from up
可以查看到相关数据。

完整的prometheus.yml文件

global:
  scrape_interval: 15s # 默认抓取间隔, 15秒向目标抓取一次数据。
  external_labels:
    monitor: 'codelab-monitor'

# 这里表示抓取对象的配置
scrape_configs:

  - job_name: 'linux-server'	# 定义任务名
    scrape_interval: 5s

    static_configs:
    file_sd_configs:
      - files:
        - '/etc/prometheus/fileconfig/*-nodes.json'

# 指定了Prometheus的存储数据库为InfluxDB
remote_write:
  - url: "http://influxdb:8086/api/v1/prom/write?db=prometheus&u=prometheus&p=prometheuspwd"
remote_read:
  - url: "http://influxdb:8086/api/v1/prom/read?db=prometheus&u=prometheus&p=prometheuspwd"

# 配置告警规则位置
rule_files:
  - "rules/*rules.yml"

# 配置alertmanager告警发送消息配置
alerting:
  alertmanagers:
    - static_configs:
      - targets: ['192.168.1.20:9093']

附加:

  • influxdb时序数据库的基本命令
# influxdb相关操作
#登录数据库
influx
或
influx -host 127.0.0.1 -port 8086 -username prometheus -password prometheuspwd
#查看数据库
show databases
#切换数据库
use prometheus
#查看数据表
show MEASUREMENTS
#查看数据
select * from up
#查看用户
show users
#创建用户
create user "username" with password 'password' with all privileges
#删除用户
drop user username

Grafana+Mysql存储数据

cat docker-compose-grafana-mysql.yml

version: "2.3"
services:
  grafana:
    image: grafana/grafana:latest
    container_name: grafana
    hostname: grafana
    restart: always
    volumes:
      - /prometheus/grafana/config:/etc/grafana
      - /prometheus/grafana/logs:/var/log/grafana
      - /prometheus/grafana/data:/var/lib/grafana
      - /prometheus/grafana/dashboards:/etc/grafana/provisioning/dashboards
      - /etc/localtime:/etc/localtime
    ports:
      - "3000:3000"
    user: "104"
    depends_on:
      - db
    networks:
      - prom_monitor

  db:
    image: mysql:5.7
    command: --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
    container_name: mysql
    hostname: mysql
    restart: always
    environment:
      - MYSQL_ROOT_PASSWORD=Admin_pwd
      - MYSQL_DATABASE=grafana
      - MYSQL_USER=grafana
      - MYSQL_PASSWORD=grafana
    volumes:
      - /prometheus/grafana/mysql:/var/lib/mysql
      - /etc/localtime:/etc/localtime
    expose:
      - "3306"
    networks:
      - prom_monitor

networks:
  prom_monitor:
    driver: bridge

grafana配置文件增加数据库信息

cat config/grafana.ini

[database]

type = mysql
host = mysql:3306
name = grafana
user = grafana
password = grafana
url = mysql://grafana:grafana@mysql:3306/grafana

[session]
provider = mysql
provider_config = `grafana:grafana@tcp(mysql:3306)/grafana`
cookie_name = grafana_session
cookie_secure = false
session_life_time = 86400

启动服务

docker-compose -f docker-compose-grafana-mysql.yml up -d

登录数据库查看信息

docker exec -it mysql bash

mysql -ugrafana -pgrafana

mysql> use grafana;
mysql> show tables;
可查看到相关的数据表

参考资料-Prometheus+Grafana监控简介

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posted @ 2020-05-28 16:20  zongxiang  阅读(7269)  评论(1编辑  收藏  举报