Docker部署Prometheus的实现示例

环境：阿里云CentOS7.9

docker部署

1、确定是CentOS7及以上版本

cat /etc/redhat-release

2、如有旧版本，需要先卸载旧版本

yum remove docker

3、yum安装gcc相关以及需要的软件包

yum -y install gcc gcc-c++ yum-utils

4、配置岛内docker-ce的yum源（采用的是阿里云）

yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

5、配置完yum源后可以切换到/etc/yum.repos.d/目录下，查看下是否存在docker-ce.repo，存在的话说明配置成功

6、更新yum软件包索引

yum makecache fast

7、安装docker

yum -y install docker-ce docker-ce-cli containerd.io

8、启动docker

systemctl start dockersystemctl status docker

9、查看docker版本

docker --versionDocker version 26.1.4, build 5650f9b

10、配置镜像加速器

sudo mkdir -p /etc/dockersudo tee /etc/docker/daemon.json -'EOF'{ "registry-mirrors": ["https://cz1numin.mirror.aliyuncs.com"]}EOFsudo systemctl daemon-reloadsudo systemctl restart docker

11、docker info命令查看一下是否新增了阿里云的地址，确保配置成功

Prometheus部署

1、下载镜像包

docker pull prom/node-exporterdocker pull prom/mysqld-exporterdocker pull oliver006/redis_exporter docker pull prom/prometheusdocker pull grafana/grafanaprom/node-exporter：用于收集主机系统信息和指标的prom/mysqld-exporter：用于收集数据库系统信息和指标的oliver006/redis_exporter ：用于收集redis信息和指标的grafana/grafana：是一个用于可视化和分析监控指标的开源平台。prom/prometheus：是一个开源的监控系统，用于收集和存储时间序列数据，并提供基于数据的查询、报警和可视化功能。

2、启动容器

2.1启动node-exporter

docker run -d --name node-exporter \--restart=always -p 9100:9100 \-v /proc:/host/proc:ro \-v /sys:/host/sys:ro \-v /:/rootfs:ro prom/node-exporter

访问地址：http://47.119.27.111:9100/metrics

2.2启动 mysqld-exporter

docker run -d --name mysqld_exporter \--restart=always -p 9104:9104 \-e DATA_SOURCE_NAME="root:Password123@(192.168.0.230:3306)/" \prom/mysqld-exporter

访问地址：http://47.119.27.111:9104/metrics

2.3启动 redis_exporter

#不带密码docker run -d --name redis_exporter -p 9121:9121 oliver006/redis_exporter --redis.addr redis://192.168.0.230:6379# 绑定集群中一个redis实例就可以了# 带密码docker run -d --name redis_exporter -p 9121:9121 oliver006/redis_exporter --redis.addr redis://192.168.0.230:6379 --redis.password '123123'

访问地址：http://47.119.27.111:9121/metrics

2.4查看容器IP

查看当前运行的网络列表

docker network lsNETWORK ID NAME DRIVER SCOPE16dab27fe490 bridge bridge local05a7e6db54e6 host host localf2da59c2d4f9 none null local

查看指定网络中的容器和其IP地址

docker network inspect 网络ID或网络名称 "0f8f21d3d4cb8a892e3915430a56569c5182346d79a7dd6434718b7dfa59ab0a": { "Name": "redis_exporter", "EndpointID": "597b8133bfc51af671889a8786000fc27b4c53a74edda683b2be4272ceac0310", "MacAddress": "02:42:ac:11:00:04", "IPv4Address": "172.17.0.4/16", "IPv6Address": "" }, "940f4c0ca99bc9af06dd17f405bb5fb5f52bcd147149270f07ebe5af72128d9f": { "Name": "node-exporter", "EndpointID": "111ecdc84bd9682018f09d8e5010802dcb5c6d4052c126b931abbc0e539dff90", "MacAddress": "02:42:ac:11:00:02", "IPv4Address": "172.17.0.2/16", "IPv6Address": "" }, "cdc09d537f36572104e001d071cbc4642b0b9a528019f37149de3727f96827e1": { "Name": "mysqld_exporter", "EndpointID": "63029028def1861190829aec2a4d2f75048bd8e3acfe0fee0c628c169562e998", "MacAddress": "02:42:ac:11:00:03", "IPv4Address": "172.17.0.3/16", "IPv6Address": "" }

2.5启动Prometheus

新建目录prometheus，编辑配置文件prometheus.yml

mkdir /opt/prometheuscd /opt/prometheus/vim prometheus.yml

global: scrape_interval: 60s evaluation_interval: 60sscrape_configs: - job_name: prometheus static_configs: - targets: ['localhost:9090'] labels: instance: prometheus - job_name: node static_configs: - targets: ['172.17.0.2:9100'] labels: instance: node-exporter - job_name: redis static_configs: - targets: ['172.17.0.4:9121'] labels: instance: redis_exporter - job_name: mysqld static_configs: - targets: ['172.17.0.3:9104'] labels: instance: mysql-exporter

启动（注意：宿主机的路径必须是绝对路径：/opt/prometheus/prometheus.yml，否则会报错）

docker run -d --name prometheus --restart=always -p 9090:9090 -v /opt/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus

访问地址：http://47.119.27.111:9090/graph

访问targets地址：http://47.119.27.111:9090/targets

2.6启动grafana

新建空文件夹grafana-storage，用来存储数据

mkdir /opt/grafana-storage

添加权限

chmod 777 -R /opt/grafana-storage

启动

docker run -d --name grafana --restart=always \ -p 3000:3000 --name=grafana \ -v /opt/grafana-storage:/var/lib/grafana grafana/grafana

访问地址：http://47.119.27.111:3000/login