环境部署，接着上一篇文章Docker容器部署（Cadvisor +InfluxDB+Grafana）开始
目录
1、先清理一下容器
2、部署Cadvisor
3、访问Cadvisor页面
4、部署Prometheus
5、准备配置
6、运行prometheus容器
7、访问prometheus页面
8、部署Grafana
9、配置Grafana
10、测试
1、先清理一下容器
[root@localhost ~]# docker rm -f $(docker ps -aq)
11201213a39a
63844f017e3d
f70fa681a8ab
e729bfb694a1
2、部署Cadvisor
[root@localhost ~]# 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 \
> --publish=8080:8080 \
> --detach=true \
> --name=cadvisor \
> google/cadvisor:latest
82cb584af19a643a643489ee43b6b9c461c5f5a78d24a36d613c8adb8fe6ef003、访问Cadvisor页面
4、部署Prometheus
[root@localhost ~]# docker pull prom/prometheus
Using 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
5、准备配置
[root@localhost ~]# 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 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: ['localhost:9090']
- job_name: 'docker' ##定义一个叫docker的组
static_configs:
- targets: ['192.168.147.139:8080'] ##填写一个或多个cadvisor的主机地址用逗号隔开
6、运行prometheus容器
[root@localhost ~]# docker run -d \
> --name=prometheus -p 9090:9090 \
> -v /tmp/prometheus.yml:/etc/prometheus/prometheus.yml \
> -v /etc/localtime:/etc/localtime \
> prom/prometheus
d1cddcd4cbf4a8981dd8b9b6a68311c666d3434b12b354ef39dc04aa1c92a160
[root@localhost ~]# docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
d1cddcd4cbf4 prom/prometheus "/bin/prometheus --c…" 3 seconds ago Up 3 seconds 0.0.0.0:9090->9090/tcp, :::9090->9090/tcp prometheus
82cb584af19a google/cadvisor:latest "/usr/bin/cadvisor -…" About an hour ago Up 29 seconds 0.0.0.0:8080->8080/tcp, :::8080->8080/tcp cadvisor
7、访问prometheus页面
进入Targets页面
看到docker组状态up为正常
查询项是可以查到数据的
8、部署Grafana
[root@localhost ~]# docker run -d \
> --name=grafana \
> -p 3000:3000 \
> grafana/grafana
3478eb756c58868cd2a0f1492b68dca9ef52c91eb877a89ac2c2c51e222312af
9、配置Grafana
访问http://192.168.147.139:3000默认账户admin 密码 admin首次登陆需要修改密码
添加add data source
save test
import
最下面选择prometheus再import
10、测试
[root@localhost ~]# docker run --name=nginx -d -p 80:80 nginx
de08a1a9e25b0436ea2433166b69eea81afc3bca3c45ab8ab59515ec7ae80d33
保存就好了
到此Cadvisor +Prometheus+Grafana基本架构部署完毕
