一、前期准备：在Linux服务器上安装好docker，docker-compose
常用指令
列出运行中容器
docker ps
列出所有容器，包括未运行的。
docker ps -a
进入容器
docker exec -it <container_id> /bin/bash
停止容器
docker stop <container_id>
后台运行docker-compose （第一次启动最好不用-d，因为可能有报错信息）
docker-compose up -d
二、使用docker安装influxdb
docker run -d --name influxdb -p 8086:8086 -v /data/influxdb:/var/lib/influxdb --hostname=influxdb influxdb
- 安装成功应显示
Unable to find image 'influxdb:latest' locally
latest: Pulling from library/influxdb
07471e81507f: Pull complete
c6cef1aa2170: Pull complete
13a51f13be8e: Pull complete
b6f021d1bd1c: Pull complete
ecf4e96afd5f: Pull complete
012b872e0ffa: Pull complete
fdfd321c83b8: Pull complete
2b9d42a4857a: Pull complete
3b93d6fb4c2d: Pull complete
Digest: sha256:ed884c6895724a4677de78e84df0246ced5d898216cd6d69332bebca2da22fd6 --hostname=influxdb influxdb
Status: Downloaded newer image for influxdb:latest
f47c40a3ddbf444ddf873xxxxxxxxxxxxxxxxxxx47a33a427a3f03015894ced4
2.浏览器输入ip:8086即可看到一下页面
influxdb
2.1、 创建root用户和test用户（用于后期配置granfana）。
可以在页面上创建，也可以通过命令
docker exec -it <container_id> /bin/bash
我这里容器名字就叫influxdb，所以运行一下命令即可进入docker里面
docker exec -it influxdb bin/bash
create database "influxdb"
create user "root" with password 'rootroot' with all previleges
- cadvisor
docker run --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 --volume=/cgroup:/cgroup:ro \
--publish=8080:8080 --detach=true --privileged=true --name=cadvisor \
google/cadvisor:latest \
-storage_driver=influxdb-storage_driver_host=influxdb:8086 \
-storage_driver_db=cadvisor \
-storage_driver_user=root \
-storage_driver_password=root
3.grafana
docker run -d -p 3000:3000 \
-v /data/grafana:/varlib/grafana \
--link=influxdb:influxdb \
--name grafana \
grafana/grafana
三、使用docker-compoes安装CAdvisor+InfluxDB+Granfana
创建好docker-compose.yaml配置如下
version: '3.1'
volumes:
grafana_data: {}
services:
influxdb:
image: tutum/influxdb:0.9
#image: tutum/influxdb
#image: influxdb
restart: always
#user:
environment:
- PRE_CREATE_DB=cadvisor
ports:
- "8083:8083"
- "8086:8086"
expose:
- "8090"
- "8099"
volumes:
- ./data/influxdb:/data
cadvisor:
#image: google/cadvisor:v0.29.0
image: google/cadvisor
links:
- influxdb:influxsrv
command: -storage_driver=influxdb -storage_driver_db=cadvisor -storage_driver_host=influxsrv:8086
restart: always
ports:
- "8080:8080"
volumes:
- /:/rootfs:ro
- /var/run:/var/run:rw
- /sys:/sys:ro
- /var/lib/docker/:/var/lib/docker:ro
grafana:
#image: grafana/grafana:2.6.0
user: "104"
image: grafana/grafana
user: "104"
#user: "472"
restart: always
links:
- influxdb:influxsrv
ports:
- "3000:3000"
volumes:
- grafana_data:/var/lib/grafana
environment:
- HTTP_USER=admin
- HTTP_PASS=admin
- INFLUXDB_HOST=influxsrv
- INFLUXDB_PORT=8086
- INFLUXDB_NAME=cadvisor
- INFLUXDB_USER=root
- INFLUXDB_PASS=root
验证配置是否正确
docker-compose config
启动安装容器
docker-compose up
看到
write to index of partition 1 took 5.399166ms
证明成功了
新开一个页面，运行
docker ps -a
应该可以看到
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
81984542671a google/cadvisor "/usr/bin/cadvisor -…" 8 seconds ago Up 7 seconds 0.0.0.0:8080->8080/tcp, :::8080->8080/tcp cadivsor-cadvisor-1
713ae988d3f4 grafana/grafana "/run.sh" 8 seconds ago Up 7 seconds 0.0.0.0:3000->3000/tcp, :::3000->3000/tcp cadivsor-grafana-1
c6a712f78e8a tutum/influxdb:0.9 "/run.sh" 8 seconds ago Up 7 seconds 0.0.0.0:8083->8083/tcp, :::8083->8083/tcp, 8090/tcp, 0.0.0.0:8086->8086/tcp, :::8086->8086/tcp, 8099/tcp cadivsor-influxdb-1
四、剩下的就是最麻烦的配置grafana界面了
请参考这篇文章：https://www.cnblogs.com/chanshuyi/p/03_grafana_chart_quick_start.html
最后附送几个查询的sql
上传下载流量（记得分开两个query写）：
SELECT derivative(mean("value"), 1s) FROM "rx_bytes" WHERE ("container_name" = '/') AND $timeFilter GROUP BY time(1m) fill(null)
SELECT derivative(mean("value"), 1s) FROM "tx_bytes" WHERE ("container_name" = '/') AND $timeFilter GROUP BY time(1m) fill(null)
磁盘使用情况单位GB
SELECT mean("value") FROM "fs_usage" WHERE ("container_name" = '/') AND ("device" = '/dev/vda1') AND $timeFilter GROUP BY time($__interval) fill(null)
cpu占用率（16000000000 因为我是16核的cpu）：
SELECT derivative(mean("value"), 1s) / 16000000000 FROM "cpu_usage_total" WHERE ("container_name" = '/') AND $timeFilter GROUP BY time($__interval) fill(previous)
内存使用率百分比（32805847040 表示大概32G内存）：
SELECT mean("value") / 32805847040 FROM "memory_usage" WHERE ("container_name" = '/') AND $timeFilter GROUP BY time($__interval) fill(null)
最后poke一张效果图
效果图
当然你也可以在Grafana官网 -Grafana官网 - Dashboards 模块 找到你喜欢的现成模板。但能不能用就不一定了。
