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1.1、Cadvisor产品简介 Cadvisor是Google开源的一款用于展示和分析容器运行状态的可视化工具。通过在主机上运行Cadvisor用户可以轻松的获取到当前主机上容器的运行统计信息#xff0c;并以图表的形式向用户展示。
1.2、安装docker-ce
[rootloc…Cadvisor PrometheusGrafana
1.1、Cadvisor产品简介 Cadvisor是Google开源的一款用于展示和分析容器运行状态的可视化工具。通过在主机上运行Cadvisor用户可以轻松的获取到当前主机上容器的运行统计信息并以图表的形式向用户展示。
1.2、安装docker-ce
[rootlocalhost ~]# iptables -F
[rootlocalhost ~]# setenforce 0
setenforce: SELinux is disabled
[rootlocalhost ~]# systemctl stop firewalld[rootlocalhost ~]# cd /etc/yum.repos.d/
[rootlocalhost ~]# wget http://mirrors.aliyun.com/repo/Centos-7.repo[rootlocalhost ~]# yum -y install yum-utils device-mapper-persistent-data lvm2
[rootlocalhost ~]# yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
[rootlocalhost ~]# yum -y install docker-ce
[rootlocalhost ~]# systemctl start docker
[rootlocalhost ~]# systemctl enable docker
[rootlocalhost ~]# docker versionClient: Docker Engine - CommunityVersion: 24.0.5API version: 1.43Go version: go1.20.6Git commit: ced0996Built: Fri Jul 21 20:39:02 2023OS/Arch: linux/amd64Context: defaultServer: Docker Engine - CommunityEngine:Version: 24.0.5API version: 1.43 (minimum version 1.12)Go version: go1.20.6Git commit: a61e2b4Built: Fri Jul 21 20:38:05 2023OS/Arch: linux/amd64Experimental: falsecontainerd:Version: 1.6.21GitCommit: 3dce8eb055cbb6872793272b4f20ed16117344f8runc:Version: 1.1.7GitCommit: v1.1.7-0-g860f061docker-init:Version: 0.19.0GitCommit: de40ad0阿里云镜像加速器
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[rootlocalhost ~]# cat END /etc/docker/daemon.json
{registry-mirrors:[ https://nyakyfun.mirror.aliyuncs.com ]
}
END[rootlocalhost ~]# systemctl daemon-reload[rootlocalhost ~]# systemctl restart docker 下载组件镜像
[rootlocalhost ~]# docker pull tutum/influxdbUsing default tag: latest
latest: Pulling from tutum/influxdb
a3ed95caeb02: Pull complete
23efb549476f: Pull complete
aa2f8df21433: Pull complete
ef072d3c9b41: Pull complete
c9f371853f28: Pull complete
a248b0871c3c: Pull complete
749db6d368d0: Pull complete
db2492acfcc3: Pull complete
b7e7d2e12d53: Pull complete
4272a53eef10: Pull complete
9b2fefdb5321: Pull complete
Digest: sha256:5b7c5e318303ad059f3d1a73d084c12cb39ae4f35f7391b79b0ff2c0ba45304b
Status: Downloaded newer image for tutum/influxdb:latest
docker.io/tutum/influxdb:latest[rootlocalhost ~]# docker pull google/cadvisorUsing default tag: latest
latest: Pulling from google/cadvisor
ff3a5c916c92: Pull complete
44a45bb65cdf: Pull complete
0bbe1a2fe2a6: Pull complete
Digest: sha256:815386ebbe9a3490f38785ab11bda34ec8dacf4634af77b8912832d4f85dca04
Status: Downloaded newer image for google/cadvisor:latest
docker.io/google/cadvisor:latest[rootlocalhost ~]# docker pull grafana/grafanaUsing default tag: latest
latest: Pulling from grafana/grafana
97518928ae5f: Pull complete
5b58818b7f48: Pull complete
d9a64d9fd162: Pull complete
4e368e1b924c: Pull complete
867f7fdd92d9: Pull complete
387c55415012: Pull complete
07f94c8f51cd: Pull complete
ce8cf00ff6aa: Pull complete
e44858b5f948: Pull complete
4000fdbdd2a3: Pull complete
Digest: sha256:18d94ae734accd66bccf22daed7bdb20c6b99aa0f2c687eea3ce4275fe275062
Status: Downloaded newer image for grafana/grafana:latest
docker.io/grafana/grafana:latest[rootlocalhost ~]# docker imagesREPOSITORY TAG IMAGE ID CREATED SIZE
grafana/grafana latest 9b957e098315 20 months ago 275MB
google/cadvisor latest eb1210707573 4 years ago 69.6MB
tutum/influxdb latest c061e5808198 6 years ago 290MB创建自定义网络 [rootlocalhost ~]# docker network create monitorbfe09a56d338b3173da008204dac13e46873ab8c46601683bba6457178e7dbcc[rootlocalhost ~]# docker network lsNETWORK ID NAME DRIVER SCOPE
dbe5fb2353e8 bridge bridge local
fc4521838733 host host local
bfe09a56d338 monitor bridge local
4e2c57eec484 none null local1.3、部署Cadvisor
被监控主机上部署Cadvisor容器
[rootlocalhost ~]# docker run -d \--volume/:/rootfs:ro \--volume/var/run:/var/run:ro \--volume/sys:/sys:ro \--volume/var/lib/docker/:/var/lib/docker:ro \--volume/dev/disk/:/dev/disk:ro \--publish8080:8080 \--detachtrue \--namecadvisor \google/cadvisor:latest39067a18d264733e884272d932cd1d2bf1ae279092729aca01cfc0f12fa2571d1.4、访问cAdvisor页面
访问http://192.168.2.118:8080 cAdvisor页面可以看到收集到的数据 1.5、Prometheus产品简介 Prometheus是一个最初在SoundCloud上构建的开源系统监视和警报工具包。自2012年成立以来很多公司和组织都采用了Prometheus该项目拥有非常活跃的开发者和用户社区。 它现在是一个独立的开源项目可以独立于任何公司进行维护。 为了强调这一点并阐明项目的治理结构Prometheus于2016年加入Cloud Native Computing Foundation云原生基金会作为继Kubernetes之后的第二个托管项目。 Prometheus的主要特征有 多维度数据模型-由指标键值对标识的时间序列数据组成PromQL一种灵活的查询语言不依赖分布式存储; 单个服务器节点是自治的以HTTP方式通过pull模型拉取时间序列数据支持通过中间网关推送时间序列数据通过服务发现或者静态配置来发现目标服务对象支持多种多样的图表和界面展示 1.6、部署Prometheus
[rootlocalhost ~]# docker pull prom/prometheusUsing default tag: latest
latest: Pulling from prom/prometheus
3cb635b06aa2: Pull complete
34f699df6fe0: Pull complete
33d6c9635e0f: Pull complete
f2af7323bed8: Pull complete
c16675a6a294: Pull complete
827843f6afe6: Pull complete
3d272942eeaf: Pull complete
7e785cfa34da: Pull complete
05e324559e3b: Pull complete
170620261a59: Pull complete
ec35f5996032: Pull complete
5509173eb708: Pull complete
Digest: sha256:cb9817249c346d6cfadebe383ed3b3cd4c540f623db40c4ca00da2ada45259bb
Status: Downloaded newer image for prom/prometheus:latest
docker.io/prom/prometheus:latest先准备配置
[rootlocalhost ~]# vim /tmp/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 its Prometheus itself.
scrape_configs:# The job name is added as a label jobjob_name to any timeseries scraped from this config.- job_name: prometheus# metrics_path defaults to /metrics# scheme defaults to http.static_configs:- targets: [localhost:9090]- job_name: docker ##定义一个叫docker的组static_configs:
- targets: [192.168.2.118:8080] ##填写一个或多个cadvisor的主机地址用逗号隔开
运行容器
[rootlocalhost ~]# docker run -d \
--nameprometheus -p 9090:9090 \
-v /tmp/prometheus.yml:/etc/prometheus/prometheus.yml \-v /etc/localtime:/etc/localtime \
prom/prometheus402b019bb5fd489911f925ae717e87994e68ec7b836f37bc106de8f3c2801cbc#如果起不来就重启一下docker再用docker restart $(docker ps -qa) 重启所有容器
1.7、访问prometheus页面
http://192.168.2.118:9090 看到docker组状态up为正常 查询项是可以查到数据的 1.8、部署Granfana
[rootlocalhost ~]# docker run -d \--namegrafana \-p 3000:3000 \grafana/grafana42b131dbf96ac1b613c6b8ac305c94eb322b8cf6b320f48990ad059bba5ba0d61.9、配置Granfana
访问http://192.168.2.118:3000默认账户admin 密码 admin首次登陆需要修改密码 配置数据源 导入模板 选择对应的数据源点击导入就可以看到被监控主机的数据 准备测试容器
[rootlocalhost ~]# docker run --namenginx -d -p 80:80 nginx
d2000b50c5a035fde255c5f488fde43653733806a36167c4b73460a0c74d27f6到此Cadvisor PrometheusGrafana基本架构部署完毕
