找一个你喜欢的地方，创建项目根目录
example:
[root@demo-78 ~]# mkdir /data/prometheus
进入到项目根目录：
[root@demo-78 ~]# cd /data/prometheus
需要新建三个文件，分别是docker-compose.yml、prometheus.yml、node_down.yml，详细配置如下
在以下配置中，除了
docker-compose.yml中的端口映射配置以外，所有你能看到的关于host、port、username、passowrd的配置，都修改成你自己的，顺便注意一下docker-compose.yml配置中关于文件挂载的路劲问题。
prometheus.yml配置如下：
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets: ['10.0.5.78:9093']
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
- "node_down.yml"
# - "first_rules.yml"
# - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'prometheus'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ['10.0.5.78:9094']
- job_name: 'redis'
static_configs:
- targets: ['10.0.5.78:9121']
labels:
instance: redis
- job_name: 'node'
scrape_interval: 8s
static_configs:
- targets: ['10.0.5.78:9100']
labels:
instance: node
- job_name: 'cadvisor'
static_configs:
- targets: ['10.0.5.78:8088']
labels:
instance: cadvisori
#基于文件自动加载新监控任务
- job_name: 'file_ds'
file_sd_configs:
- files: ['/etc/prometheus/reload/*.yml']
refresh_interval: 5s
docker-compose.yml配置如下：
version: '3'
networks:
monitor:
driver: bridge
services:
prometheus:
image: prom/prometheus
container_name: prometheus
hostname: prometheus
restart: always
volumes:
- /prometheus/reload:/etc/prometheus/reload
- /prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
- /prometheus/node_down.yml:/etc/prometheus/node_down.yml
ports:
- "9094:9090"
networks:
- monitor
grafana:
image: grafana/grafana
container_name: grafana
hostname: grafana
restart: always
ports:
- "3000:3000"
networks:
- monitor
redis-exporter:
image: oliver006/redis_exporter
container_name: redis_exporter
hostname: redis_exporter
restart: always
ports:
- "9121:9121"
networks:
- monitor
command:
- '--redis.addr=redis://10.0.5.79:6379'
- '--redis.password=Pig_1234'
node-exporter:
image: quay.io/prometheus/node-exporter
container_name: node-exporter
hostname: node-exporter
restart: always
ports:
- "9100:9100"
networks:
- monitor
mysql-exporter:
image: prom/mysqld-exporter
container_name: mysql-exporter
hostname: mysql-exporter
restart: always
ports:
- "9104:9104"
networks:
- monitor
command:
- "--mysqld.address=10.0.5.79:3306"
- "--mysqld.username=pigdigital:Pigdigital_1234"
cadvisor:
image: google/cadvisor:latest
container_name: cadvisor
hostname: cadvisor
restart: always
volumes:
- /:/rootfs:ro
- /var/run:/var/run:rw
- /sys:/sys:ro
- /var/lib/docker/:/var/lib/docker:ro
ports:
- "8088:8080"
networks:
- monitor
node_down.yml配置如下：
groups:
- name: node_down
rules:
- alert: InstanceDown
expr: up == 0
for: 1m
labels:
user: test
annotations:
summary: "Instance {{ $labels.instance }} down"
description: "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 1 minutes."
# 启动容器
[root@demo-78 prometheus]# docker-compose up -d
自行执行命令查看是否启动成功
如何使用prometheus.yml配置的 "基于文件自动加载新监控任务"
项目启动后，在根目录会生产一个名叫reload的文件夹，只需要在当前文件夹中加入新增的监控配置就能自动注册到prometheus服务中,配置书写格式如下：
[root@demo-78 ~]# cat /prometheus/reload/web.yml
- targets:
- '10.0.5.79:9100'
labels:
job: 'pig-web'
__metrics_path__: '/web/actuator/prometheus'
或：
[root@demo-piggpt-78 ~]# cat /prometheus/reload/mysql.yml
- targets: ['10.0.5.78:9104']
这里只是给个实例，有特别的需求请自行查看资料，这两种写法唯一的区别在于：第一种写法我需要自定义
metrics_path，否则默认拉取指标的路径（第二种写法）就是：10.0.5.78:9104/metrics，对于很多官网的exporter，使用第二种方式即可
容器mysql-export启动报错：caller=mysqld_exporter.go:225 level=info msg="Error parsing host config" file=.my.cnf err="no configuration found"
由于mysql-exporter更新过后，配置写法有改变，截止2024年5月28日，最新的mysql-exporter:0.15.1按照当前配置部署能够成功启动，如遇无法启动，请自行查看官方文档
通过strimzi部署的kafka集群，如何部署prometheus+grafana去监控呢？官方文档信息量太大，即便照着做也可能失败，这里有一份详细的保姆级操作指南，助您成功部署监控服务