docker安装prometheus+Granfan并监控容器
docker安装普罗米修斯+Granfan并监控容器一、基本概念
1、之间的关系
prometheus与grafana之间是相辅相成的关系。作为完美的分布式监控系统的Prometheus，就想布加迪威龙一样示例和动力强劲。在猛的车也少不了仪表盘来观察。于是优雅的可视化平台Grafana出现了。
简而言之Grafana作为可视化的平台，平台的数据从Prometheus中取到来举行仪表盘的展示。而Prometheus这源源不停的给Grafana提供数据的支持。
2、基本工作原理
[*]Exporter 监控工具，获取数据
[*]Prometheus 普罗米修斯时序数据库，用来存储和查询你的监控数据
[*]Grafana 仪表盘
https://img2024.cnblogs.com/blog/3419367/202406/3419367-20240624131456067-596582641.png
二、相识概念之- Prometheus
Prometheus是一个开源的系统监控和报警系统，由Google BorgMon监控系统的开源版本发展而来。它使用Go语言开发，能够监控和告警各种系统，包括网络、存储、服务器和应用等。Prometheus通过采集大量监控数据并存储到时间序列数据库中，然后通过查询语言PromQL进行数据查询和可视化。它已经成为继k8s之后第二大在CNCF托管的项目，被广泛应用于各种数据中心环境的监控。三、相识概念之—Grafana
Grafana是一个开源的度量分析和可视化套件，常被用于数据分析和监控。它支持多种不同的数据源，包括Graphite、Elasticsearch、InfluxDB、Prometheus等，并能够将数据以各种图形的方式展示出来，比如折线图、柱状图、热图等。Grafana的仪表盘可以用来展示各种信息，比如系统性能、网络延迟、用户行为等。Grafana还支持自定义查询和可视化的功能，可以根据不同的需求来定制数据展示。四、环境准备
系统IP配置角色cnetos7.9192.168.8.1802c4gNodeEXporter、cAdvisor、 Prometheus Server、Grafanacnetos7.9192.168.8.1812c4gNodeEXporter、cAdvisor将包分别存放至两台呆板
google-cadvisor.tar.gz grafana.tar.gz node-exporter.tar.gz prometheus.tar.gz
组件说明
Prometheus Server: 普罗米修斯的主服务器,端口号9090
NodeEXporter: 负责网络Host硬件信息和操作系统信息，端口号9100
cAdvisor:负责网络Host上运行的容器信息,端口号占用8080
Grafana：负责展示普罗米修斯监控界面，端口号3000
altermanager：等待接收prometheus发过来的告警信息，altermanager再发送给定义的收件人
1.安装node-EXporter
[*] Server
[*] Agent
作用: 网络硬件和系统信息
#导入镜像
# docker load -i node-exporter.tar.gz
1e604deea57d: Loading layer [==================================================>]1.458MB/1.458MB
6b83872188a9: Loading layer [==================================================>]2.455MB/2.455MB
4f3f7dd00054: Loading layer [==================================================>] 20.5MB/20.5MB
Loaded image: prom/node-exporter:latest
#运行容器
# docker run -d -p 9100:9100 -v /proc:/host/proc -v /sys:/host/sys -v /:/rootfs --net=host prom/node-exporter --path.procfs /host/proc --path.sysfs /host/sys --collector.filesystem.ignored-mount-points "^/(sys|proc|dev|host|etc)($|/)"
WARNING: Published ports are discarded when using host network mode
3f3abcc55d5ab28922a268d6fe60a1f9382e71808367ca1c15d2c2eb89ae7bc8
#
#查看运行状态
# docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
3f3abcc55d5a prom/node-exporter "/bin/node_exporter …" 44 seconds ago Up 40 seconds upbeat_agnesi
# 验证网络效果http://192.168.8.180:9100/metrics
https://img2024.cnblogs.com/blog/3419367/202409/3419367-20240915141621190-1560058163.png
2、安装cAdvisor
[*] Server
[*] Agent
作用: 网络节点容器信息
#导入镜像
# docker load -i google-cadvisor.tar.gz
cd7100a72410: Loading layer [==================================================>]4.403MB/4.403MB
9ea477e6d99e: Loading layer [==================================================>]33.09MB/33.09MB
66b3c2e84199: Loading layer [==================================================>]32.88MB/32.88MB
Loaded image: google/cadvisor:latest
#
#运行容器
# docker run -v /:/rootfs:ro -v /var/run:/var/run/:rw -v /sys:/sys:ro -v /var/lib/docker:/var/lib/docker:ro -p 8080:8080 --detach=true --name=cadvisor --net=host google/cadvisor
WARNING: Published ports are discarded when using host network mode
477a383ea1943384f96a70dc1a9cd8d101565a5e3cca861cff6b6c0ed990efc5
#
#查看运行状态
# docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
477a383ea194 google/cadvisor "/usr/bin/cadvisor -…" 32 seconds ago Up 31 seconds cadvisor
3f3abcc55d5a prom/node-exporter "/bin/node_exporter …" 5 minutes ago Up 5 minutes upbeat_agnesi
# http://192.168.8.180:8080/containers/
验证网络效果传递
https://img2024.cnblogs.com/blog/3419367/202409/3419367-20240915141729530-511950492.png
3、部署prometheus-server服务
先启动一个prometheus服务，目标是复制他的配置文件，修改配置文件，prometheus挂载这个文件
[*] Server
[*] Agent
# docker load -i prometheus.tar.gz
405a8b5041f1: Loading layer [==================================================>]140.1MB/140.1MB
6dfd7aef3fcd: Loading layer [==================================================>]131.8MB/131.8MB
8459ad25bfbd: Loading layer [==================================================>]3.584kB/3.584kB
6cd41730d304: Loading layer [==================================================>]13.82kB/13.82kB
dc12aa49f027: Loading layer [==================================================>]28.16kB/28.16kB
f61f35ce8414: Loading layer [==================================================>]13.31kB/13.31kB
89911f5a9a27: Loading layer [==================================================>]5.632kB/5.632kB
e3df5cefd22c: Loading layer [==================================================>]139.8kB/139.8kB
64d73d1a1b52: Loading layer [==================================================>]1.536kB/1.536kB
b4d8bcc5b63b: Loading layer [==================================================>]6.144kB/6.144kB
Loaded image: prom/prometheus:latest
#
# mkdir -pv/prometheus
mkdir: 已创建目录 "/prometheus"
#
#运行为容器,将容器的/etc/prometheus/prometheus.yml配置文件拷贝到宿主机
# docker run -d --name test -P prom/prometheus
e449972ad85a035b62ae3aaca013c7f59d5000e7701df331b4bde060fcb37aa9
#
#将容器内的/etc/prometheus/prometheus.yml文件拷贝到宿主机的/prometheus
# docker cp test:/etc/prometheus/prometheus.yml /prometheus
Successfully copied 2.56kB to /prometheus
# ll -l /prometheus/
总用量 4
-rw-r--r--. 1 root root 934 8月27 19:11 prometheus.yml
#
#编辑prometheus配置文件，在static_configs下面修改为
#以下添加的ip都将会被监控起来
# more /prometheus/prometheus.yml
# 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:
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
# - "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: ["192.168.8.180:9090","192.168.8.180:8080","localhost:9100","192.168.8.181:8080","192.168.8.181:9100"]
#4、删除test容器并重新运行prometheus
# docker rm -f test
test
# docker run -d --name prometheus --net host -p 9090:9090 -v /prometheus/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus
WARNING: Published ports are discarded when using host network mode
9274dfcd700dae2b9e4b23fa2212ffcc34a4cdc2ae767d6d0bfacc83763cf8ac
# docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
9274dfcd700d prom/prometheus "/bin/prometheus --c…" 4 seconds ago Up 3 seconds prometheus
477a383ea194 google/cadvisor "/usr/bin/cadvisor -…" 15 minutes ago Up 15 minutes cadvisor
3f3abcc55d5a prom/node-exporter "/bin/node_exporter …" 20 minutes ago Up 20 minutes upbeat_agnesi
# 5、访问测试
https://img2024.cnblogs.com/blog/3419367/202409/3419367-20240915141035753-1674734482.png
https://img2024.cnblogs.com/blog/3419367/202409/3419367-20240915141101168-207848481.png
6、在prometheus服务器上部署grafana
[*] Server
[*] Agent
grafana重要概念
[*]插件：扩展功能作用，完成不能完成的事
[*]数据源：连接数据源，通过数据源提供数据 来出图
[*]dashboard：展示面板，出什么样的图
# docker load -i grafana.tar.gz
d4fc045c9e3a: Loading layer [==================================================>]7.667MB/7.667MB
89b7e78c1264: Loading layer [==================================================>] 2.56kB/2.56kB
63c0e4417684: Loading layer [==================================================>]8.806MB/8.806MB
de6ac4ba26dc: Loading layer [==================================================>]9.713MB/9.713MB
6523361408ca: Loading layer [==================================================>] 190kB/190kB
11f6d7670b43: Loading layer [==================================================>]104.4kB/104.4kB
6271cd8eca5a: Loading layer [==================================================>]244.4MB/244.4MB
4beb5a56ae2e: Loading layer [==================================================>]215.2MB/215.2MB
9c67d537403a: Loading layer [==================================================>]37.89kB/37.89kB
e7392c8d1dd0: Loading layer [==================================================>] 5.12kB/5.12kB
Loaded image: grafana/grafana:latest
#
# mkdir -pv/grafana
mkdir: 已创建目录 "/grafana"
# chmod 777 -R /grafana
# docker run -d -p 3000:3000 --name grafana -v /grafana:/var/lib/grafana -e "GF_SECURITY_ADMIN_PASSWORD=admin" grafana/grafana
736af9f6c1f55a2dbf8a7d3bf7de4d17f9555a2f8340bce8ccc2b0984fd09b77
#
"GF_SECURITY_ADMIN_PASSWORD="#是要设置grafana的登录密码https://img2024.cnblogs.com/blog/3419367/202409/3419367-20240915141138124-1763065453.png
1.
访问测试
http://192.168.8.180:3000/login
默认用户名密码
用户名:admin
密码:admin
https://img2024.cnblogs.com/blog/3419367/202409/3419367-20240915141210835-652672881.png
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