上篇文章；我们介绍了GPE体系中，grafana的部署和安装(《Docker实战-部署GPE微服务的监控体系》)，今天这个文章，我们继续介绍GPE体系中，Prometheus和Exporter的安装及部署，而且将Prometheus和Exporter集成在一起；

安装Promethus

获取镜像

root@boot2docker:~# docker image pull prom/prometheus

Using default tag: latest

latest: Pulling from prom/prometheus

3cb635b06aa2: Pull plete

34f699df6fe0: Pull plete

33d6c9635e0f: Pull plete

f2af7323bed8: Pull plete

c16675a6a294: Pull plete

827843f6afe6: Pull plete

3d272942eeaf: Pull plete

7e785cfa34da: Pull plete

05e324559e3b: Pull plete

170620261a59: Pull plete

ec35f5996032: Pull plete

5509173eb708: Pull plete

Digest: sha256:cb9817249c346d6cfadebe383ed3b3cd4c540f623db40c4ca00da2ada45259bb

Status: Donloaded neer image for

查看镜像

[root@izz9g3javh5eeean08tbtz ~]# docker image ls | grep prometheus

prom/prometheus latest a3d385fc29f9 8 months ago 201MB

创建数据卷

[root@izz9g3javh5eeean08tbtz ~]#mkdir -p /volume/prometheus

配置prometheus.yaml

[root@izz9g3javh5eeean08tbtz ~]# vi /volume/prometheus/prometheus.yaml

global:
  scrape_interval:  10s
  evaluation_interval: 10s
  scrape_timeout: 10s

scrape_configs:
  - job_name: prometheus
 static_configs:
   - targets: ['localhost:9090']
  labels:
    type: prometheus
    group: default

启动Prometheus

[root@izz9g3javh5eeean08tbtz ~]# docker run -d 
-p 3001:9090 
--name=prometheus 
-v /volume/prometheus/prometheus.yaml:/etc/prometheus/prometheus.yml 
prom/prometheus

查看日志

[root@izz9g3javh5eeean08tbtz ~]# docker container logs prometheus -f

ts=2022-01-19T05:56:49.577Z caller=main.go:478 level=info msg="No time or size retention as set so using the default time retention" duration=15d

ts=2022-01-19T05:56:49.577Z caller=main.go:515 level=info msg="Starting Prometheus" version="(version=2.32.1, branch=HEAD, revision=41f1a8125e664985dd30674e5bdf6b683eff5d32)"

ts=2022-01-19T05:56:49.577Z caller=main.go:520 level=info build_context="(go=go1.17.5, user=root@54b6dbd48b97, date=20211217-22:08:06)"

ts=2022-01-19T05:56:49.577Z caller=main.go:521 level=info host_details="(Linux 3.10.0-693.2.2.el7.x86_64 #1 SMP Tue Sep 12 22:26:13 UTC 2017 x86_64 015fbd6dac64 (none))"

ts=2022-01-19T05:56:49.577Z caller=main.go:522 level=info fd_limits="(soft=1048576, hard=1048576)"

ts=2022-01-19T05:56:49.577Z caller=main.go:523 level=info vm_limits="(soft=unlimited, hard=unlimited)"

ts=2022-01-19T05:56:49.579Z caller=eb.go:570 level=info ponent=eb msg="Start listening for connections" address=0.0.0.0:9090

ts=2022-01-19T05:56:49.579Z caller=main.go:924 level=info msg="Starting TSDB ..."

ts=2022-01-19T05:56:49.580Z caller=tls_config.go:195 level=info ponent=eb msg="TLS is disabled." http2=false

ts=2022-01-19T05:56:49.584Z caller=head.go:488 level=info ponent=tsdb msg="Replaying on-disk memory mappable chunks if any"

ts=2022-01-19T05:56:49.584Z caller=head.go:522 level=info ponent=tsdb msg="On-disk memory mappable chunks replay pleted" duration=5.129µs

ts=2022-01-19T05:56:49.584Z caller=head.go:528 level=info ponent=tsdb msg="Replaying WAL, this may take a hile"

ts=2022-01-19T05:56:49.584Z caller=head.go:599 level=info ponent=tsdb msg="WAL segment loaded" segment=0 maxSegment=0

ts=2022-01-19T05:56:49.584Z caller=head.go:605 level=info ponent=tsdb msg="WAL replay pleted" checkpoint_replay_duration=27.991µs al_replay_duration=178.868µs total_replay_duration=227.167µs

ts=2022-01-19T05:56:49.586Z caller=main.go:945 level=info fs_type=EXT4_SUPER_MAGIC

ts=2022-01-19T05:56:49.586Z caller=main.go:948 level=info msg="TSDB started"

ts=2022-01-19T05:56:49.586Z caller=main.go:1129 level=info msg="Loading configuration file" filename=/etc/prometheus/prometheus.yml

ts=2022-01-19T05:56:49.586Z caller=main.go:1166 level=info msg="Completed loading of configuration file" filename=/etc/prometheus/prometheus.yml totalDuration=522.203µs db_storage=660ns remote_storage=2.649µs eb_handler=247ns query_engine=714ns scrape=224.952µs scrape_sd=35.726µs notify=766ns notify_sd=1.601µs rules=2.568µs

ts=2022-01-19T05:56:49.586Z caller=main.go:897 level=info msg="Server is ready to receive eb requests."

访问Prometheus

打开浏览器，在地址栏输入http://192.168.56.101:3001/targets

出现上面界面，表示已经成功；在prometheus.yaml里我们只配置了一个exporter，所以这里只出现一个Endpoint； 下面我们会使用docker安装一个cAdvisor。

安装cAdvisor

cAdvisor是个用来监控docker环境的工具，cAdvisor提供了支持Prometheus的exporter。 通过cAdvisor，prometheus就可以获取到docker的监控数据

获取镜像

root@boot2docker:~# docker image pull google/cadvisor

Using default tag: latest

latest: Pulling from google/cadvisor

Digest: sha256:815386ebbe9a3490f38785ab11bda34ec8dacf4634af77b8912832d4f85dca04

Status: Image is up to date for google/cadvisor:latest

docker.io/google/cadvisor:latest

查看镜像

root@boot2docker:~# docker image ls | grep google/cadvisor

google/cadvisor latest eb1210707573 3 years ago 69.6MB

启动cAdvisor

root@boot2docker:~# docker run

--volume=/:/rootfs:ro

--volume=/var/run:/var/run:r

--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

访问CAdvisor

打开浏览器，地址栏输入http://192.168.56.101:8080；

出现上面界面，表示已经成功； 可以访问http://192.168.56.101:8080/metrics；这是cAdvisor提供的exporter的URL；

至此，cAvisor安装成功， 在Prometheus里使用这个URL来配置endpoint，prometheus就会定期访问这个URL，获取到这些数据后，保存在Prometheus的TSDB里。

Promethues配置cAvisor的endpoint

修改prometheus.yaml文件

global:
  scrape_interval:  10s
  evaluation_interval: 10s
  scrape_timeout: 10s

scrape_configs:
  - job_name: prometheus
 static_configs:
   - targets: ['localhost:9090']
  labels:
    type: prometheus
    group: default

  - job_name: cAvisor
 static_configs:
   - targets: ['192.168.56.101:8080']
  labels:
    type: docker
    group: group01

重启Prometheus

root@boot2docker:~# docker container restart prometheus

访问promethues；出现新增加的endpoint