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Promethues(二)安装

时间:2020-03-20 17:13:42      阅读:84      评论:0      收藏:0      [点我收藏+]

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二进制方式

  1. 下载安装包 最新安装包

    $ mkdir -p /opt/k8s/prometheus
    $ cd /opt/k8s/prometheus
    $ wget https://github.com/prometheus/prometheus/releases/download/v2.16.0/prometheus-2.16.0.linux-amd64.tar.gz
    
    $ tar -xzvf prometheus-2.16.0.linux-amd64.tar.gz
    
  2. 查看解压后的文件目录

    $ cd /opt/k8s/prometheus/prometheus-2.16.0.linux-amd64
    
    $  ls -al
    总用量 141000
    drwxr-xr-x 4 3434 3434     4096 2月  14 09:54 .
    drwxr-xr-x 3 root root     4096 3月  18 12:05 ..
    drwxr-xr-x 2 3434 3434     4096 2月  14 09:52 console_libraries
    drwxr-xr-x 2 3434 3434     4096 2月  14 09:52 consoles
    -rw-r--r-- 1 3434 3434    11357 2月  14 09:52 LICENSE
    -rw-r--r-- 1 3434 3434     3184 2月  14 09:52 NOTICE
    -rwxr-xr-x 1 3434 3434 82329106 2月  14 07:52 prometheus
    -rw-r--r-- 1 3434 3434      926 2月  14 09:52 prometheus.yml
    -rwxr-xr-x 1 3434 3434 48417809 2月  14 07:54 promtool
    -rwxr-xr-x 1 3434 3434 13595766 2月  14 07:54 tsdb 
    
    • consoles: prometheus自带的一些view对应的html文件
    • prometheus: 一个可执行文件,是Prometheus server的启动文件
    • prometheus.yml: 默认的配置文件
    • data: Prometheus 抓取的指标数据存放目录
    • promtool: 一个工具集,可以用来对配置文件、规则文件进行检查,也可以利用PromQl进行查询操作
    • tsdb: prometheus 自身的时间序列数据库TSDB的客户端工具

运行prometheus

  1. 使用默认的配置文件启动prometheus

    $ cd /opt/k8s/prometheus/prometheus-2.16.0.linux-amd64
    $ ./prometheus --config.file=prometheus.yml
    level=info ts=2020-03-18T05:41:13.719Z caller=main.go:295 msg="no time or size retention was set so using the default time retention" duration=15d
    level=info ts=2020-03-18T05:41:13.719Z caller=main.go:331 msg="Starting Prometheus" version="(version=2.16.0, branch=HEAD, revision=b90be6f32a33c03163d700e1452b54454ddce0ec)"
    level=info ts=2020-03-18T05:41:13.719Z caller=main.go:332 build_context="(go=go1.13.8, user=root@7ea0ae865f12, date=20200213-23:50:02)"
    level=info ts=2020-03-18T05:41:13.719Z caller=main.go:333 host_details="(Linux 5.3.0-40-generic #32~18.04.1-Ubuntu SMP Mon Feb 3 14:05:59 UTC 2020 x86_64 master (none))"
    level=info ts=2020-03-18T05:41:13.719Z caller=main.go:334 fd_limits="(soft=1024, hard=1048576)"
    level=info ts=2020-03-18T05:41:13.719Z caller=main.go:335 vm_limits="(soft=unlimited, hard=unlimited)"
    level=info ts=2020-03-18T05:41:13.720Z caller=main.go:661 msg="Starting TSDB ..."
    level=info ts=2020-03-18T05:41:13.720Z caller=web.go:508 component=web msg="Start listening for connections" address=0.0.0.0:9090
    level=info ts=2020-03-18T05:41:13.723Z caller=head.go:577 component=tsdb msg="replaying WAL, this may take awhile"
    level=info ts=2020-03-18T05:41:13.723Z caller=head.go:625 component=tsdb msg="WAL segment loaded" segment=0 maxSegment=0
    level=info ts=2020-03-18T05:41:13.724Z caller=main.go:676 fs_type=EXT4_SUPER_MAGIC
    level=info ts=2020-03-18T05:41:13.724Z caller=main.go:677 msg="TSDB started"
    level=info ts=2020-03-18T05:41:13.724Z caller=main.go:747 msg="Loading configuration file" filename=prometheus.yml
    level=info ts=2020-03-18T05:41:13.725Z caller=main.go:775 msg="Completed loading of configuration file" filename=prometheus.yml
    level=info ts=2020-03-18T05:41:13.725Z caller=main.go:630 msg="Server is ready to receive web requests."
    
  2. 默认配置文件

    $ cat 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']
    
    • global 配置prometheus拉取指标数据的频率和进行计算的频率,都是15s
    • scrape_configs 配置段中,通过静态配置方式指定从localhost:9090/metrics拉取指标信息,其中9090是prometheus server启动后监听的端口

    • 通过访问 http://localhost:9090/metrics,可以观察prometheus自身提供的各种监控指标

  3. 通过界面访问

    技术图片

  4. 将Promethues配置成系统服务,随系统启动

    1. 编辑启动文件

      $ cat > /etc/systemd/system/prometheus.service<< EOF
      
      [Unit]
      Description=Prometheus Server
      Documentation=https://prometheus.io/docs/introduction/overview/
      After=network.target
      
      [Service]
      Restart=on-failure
      WorkingDirectory=/opt/k8s/prometheus/prometheus-2.16.0.linux-amd64
      ExecStart=/opt/k8s/prometheus/prometheus-2.16.0.linux-amd64/prometheus --config.file=/opt/k8s/prometheus/prometheus-2.16.0.linux-amd64/prometheus.yml --storage.tsdb.path=/opt/k8s/prometheus/prometheus-2.16.0.linux-amd64/data --storage.tsdb.retention.time=30d
      ExecReload=/bin/kill -s HUP $MAINPID
      [Install]
      WantedBy=multi-user.target
      EOF
      
      • config.file指定配置文件地址
      • storage.tsdb.path指定数据文件目录
      • storage.tsdb.retention.time指定数据文件保留时间

      Promethues提供了很多的命令行配置选项,可通过./prometheus -h进行查看

    2. 通过systemctl启动prometheus

      $ systemctl daemon-reload
      $ systemctl start prometheus
      $ systemctl enable prometheus
      

docker 容器方式

前提是服务器上已经装上了docker环境

  1. 下载镜像

    $ docker pull prom/prometheus:v2.16.0
    
  2. 启动镜像

    $ docker run -p 9090:9090 prom/prometheus:v2.16.0
    
    • 以上命令采用默认配置启动prometheus
  3. 通过挂载方式将配置文件挂载到容器内来自定义配置项

    docker run -p 9090:9090 -v /tmp/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus:v2.16.0
    

    或者将配置目录直接挂载进去

    docker run -p 9090:9090 -v /path/to/config:/etc/prometheus prom/prometheus:v2.16.0
    

    如果监控目标以及rule等信息都稳定下来,可以基于prometheus的镜像,将配置文件等信息追加到容器中,Dockerfile如下

    FROM prom/prometheus:v2.16.0
    ADD prometheus.yml /etc/prometheus/
    

Promethues(二)安装

标签:一个   its   target   emc   ted   use   ade   contex   环境   

原文地址:https://www.cnblogs.com/gaofeng-henu/p/12532662.html

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