# Prometheus in Docker
# docker 手动部署
首先，安装docker，参考https://docs.docker.com/engine/install/
拉取镜像包：
docker pull prom/node-exporter
docker pull prom/prometheus
docker pull grafana/grafana
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# 启动 node-exporter：
docker run -d -p 9100:9100 \
-v "/proc:/home/docker/proc:ro" \
-v "/sys:/home/docker/sys:ro" \
-v "/:/home/docker/rootfs:ro" \
--net="host" \
prom/node-exporter
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测试node-exporter是否成功启动，http://172.16.1.132:9100/metrics
# 启动prometheus：
启动之前先配置好 Prom 的配置文件/root/prometheus.yml：
global:
scrape_interval: 60s
evaluation_interval: 60s
scrape_configs:
- job_name: prometheus
static_configs:
- targets: ['localhost:9090']
labels:
instance: prometheus
- job_name: linux
static_configs:
- targets: ['172.16.1.132:9100']
labels:
instance: localhost
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启动容器：
docker run -d \
-p 9090:9090 \
-v /root/prometheus.yml:/etc/prometheus/prometheus.yml \
prom/prometheus
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测试node-exporter是否成功启动，http://172.16.1.132:9090
# 启动 Grafana
新建空文件夹grafana-storage，用来存储数据：
mkdir -pv /data/grafana-storage
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启动容器：
docker run -d \
-p 3000:3000 \
--name=grafana \
-v /data/grafana-storage:/var/lib/grafana \
grafana/grafana
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测试容器运行状态，浏览器访问http://172.16.1.132:3000
查看三个容器状态：
[root@master docker]\# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
803d4e5c4ad3 prom/prometheus "/bin/prometheus --c…" Less than a second ago Up Less than a second 0.0.0.0:9090->9090/tcp charming_morse
2569f2394344 prom/node-exporter "/bin/node_exporter" Less than a second ago Up Less than a second tender_elion
5a3f4258bec5 grafana/grafana "/run.sh" 5 seconds ago Up 4 seconds 0.0.0.0:3000->3000/tcp grafana
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此后Grafana的简单设置参考 [使用 Grafana 展示工具](./Prometheus 安装与部署.md#使用 Grafana 展示工具)
# docekr compose 快速部署
docker compose 安装：
- 借助于
epel仓库，直接安装即可，yum install docker-compose - github 官方仓库：https://github.com/docker/compose/releases/
# 添加配置文件
mkdir -p /usr/local/src/config
cd /usr/local/src/config
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添加prometheus.yml配置文件：
# my global config
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: ['172.16.1.132:9093']
# - 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'
static_configs:
- targets: ['172.16.1.132:9090']
- job_name: 'cadvisor'
static_configs:
- targets: ['172.16.1.132:8080']
- job_name: 'node'
scrape_interval: 8s
static_configs:
- targets: ['172.16.1.132:9100']
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添加配置文件alertmanager.yml，配置收发邮件邮箱
global:
smtp_smarthost: 'smtp.163.com:25' #163服务器
smtp_from: 'xxxx@163.com' #发邮件的邮箱
smtp_auth_username: 'xxxx@163.com' #发邮件的邮箱用户名，也就是你的邮箱
smtp_auth_password: 'xxxx' #发邮件的邮箱密码
smtp_require_tls: false #不进行tls验证
route:
group_by: ['alertname']
group_wait: 10s
group_interval: 10s
repeat_interval: 10m
receiver: live-monitoring
receivers:
- name: 'live-monitoring'
email_configs:
- to: 'xxxx@qq.com' #收邮件的邮箱
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添加报警规则，添加一个node_down.yml为 prometheus targets 监控
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."
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编写 docker-compose 文件docker-compose-monitor.yml：
version: '2'
networks:
monitor:
driver: bridge
services:
prometheus:
image: prom/prometheus
container_name: prometheus
hostname: prometheus
restart: always
volumes:
- /usr/local/src/config/prometheus.yml:/etc/prometheus/prometheus.yml
- /usr/local/src/config/node_down.yml:/etc/prometheus/node_down.yml
ports:
- "9090:9090"
networks:
- monitor
alertmanager:
image: prom/alertmanager
container_name: alertmanager
hostname: alertmanager
restart: always
volumes:
- /usr/local/src/config/alertmanager.yml:/etc/alertmanager/alertmanager.yml
ports:
- "9093:9093"
networks:
- monitor
grafana:
image: grafana/grafana
container_name: grafana
hostname: grafana
restart: always
ports:
- "3000:3000"
networks:
- monitor
node-exporter:
image: quay.io/prometheus/node-exporter
container_name: node-exporter
hostname: node-exporter
restart: always
ports:
- "9100:9100"
networks:
- monitor
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:
- "8080:8080"
networks:
- monitor
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启动docker-compose
#启动容器：
docker-compose -f /usr/local/src/config/docker-compose-monitor.yml up -d
#删除容器：
docker-compose -f /usr/local/src/config/docker-compose-monitor.yml down
#重启容器：
docker restart [ID]
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# 参考链接
- docker-compose参考：https://blog.51cto.com/msiyuetian/2369130