prometheus的简单安装以及使用

秒速五厘米 2022-05-24 23:38 218阅读 0赞

下载你想安装的prometheus版本，地址为[download prometheus][]

解压

tar xvfz prometheus-*.tar.gz
    cd prometheus-*

配置监控对象(本文现在配置的监控对象是prometheus本身)

root@fabric-cli prometheus-2.2.1.linux-amd64]# ls -l
    总用量 108100
    drwxrwxr-x 2 1000 1000       38 3月  14 22:14 console_libraries
    drwxrwxr-x 2 1000 1000      173 3月  14 22:14 consoles
    -rw-rw-r-- 1 1000 1000 11357 3月 14 22:14 LICENSE -rw-rw-r-- 1 1000 1000 2769 3月 14 22:14 NOTICE -rwxr-xr-x 1 1000 1000 66176282 3月 14 22:17 prometheus -rw-rw-r-- 1 1000 1000 928 3月 14 22:14 prometheus.yml -rwxr-xr-x 1 1000 1000 44492910 3月 14 22:18 promtool

从`prometheus.yml`配置文件的内容可以看出，该配置文件就是让prometheus监控自己  
关于配置文件的详细说明请参考[prometheus configuration][]

# 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']

启动prometheus服务

[root@fabric-cli prometheus-2.2.1.linux-amd64]# ./prometheus --config.file="prometheus.yml"
    level=info ts=2018-05-04T02:05:15.984674897Z caller=main.go:220 msg="Starting Prometheus" version="(version=2.2.1, branch=HEAD, revision=bc6058c81272a8d938c05e75607371284236aadc)"
    level=info ts=2018-05-04T02:05:15.984789564Z caller=main.go:221 build_context="(go=go1.10, user=root@149e5b3f0829, date=20180314-14:15:45)"
    level=info ts=2018-05-04T02:05:15.984816024Z caller=main.go:222 host_details="(Linux 3.10.0-693.21.1.el7.x86_64 #1 SMP Wed Mar 7 19:03:37 UTC 2018 x86_64 fabric-cli (none))"
    level=info ts=2018-05-04T02:05:15.984841453Z caller=main.go:223 fd_limits="(soft=1024, hard=4096)"
    level=info ts=2018-05-04T02:05:15.997654037Z caller=main.go:504 msg="Starting TSDB ..."
    level=info ts=2018-05-04T02:05:16.00942241Z caller=web.go:382 component=web msg="Start listening for connections" address=0.0.0.0:9090
    level=info ts=2018-05-04T02:05:16.015855882Z caller=main.go:514 msg="TSDB started"
    level=info ts=2018-05-04T02:05:16.015894187Z caller=main.go:588 msg="Loading configuration file" filename=prometheus.yml
    level=info ts=2018-05-04T02:05:16.017592228Z caller=main.go:491 msg="Server is ready to receive web requests."

通过访问[http://10.4.93.141:9090/metrics][http_10.4.93.141_9090_metrics]，可以查看搜集的性能指标  
![prometheus][]

访问[http://10.4.93.141:9090/graph][http_10.4.93.141_9090_graph]可以查看图形界面  
执行`prometheus_target_interval_length_seconds`,查看实际采集的时间  
![pro01][]

查看请求的数量`count(prometheus_target_interval_length_seconds)`  
![01][]

查看更多的表达式，请参考[expression language documentation][]

启动简单的实例

git clone https://github.com/prometheus/client_golang.git
    cd client_golang/examples/random
    go get -d
    go build
    
    # 启动
    ./random -listen-address=:8080  &
    ./random -listen-address=:8081  &
    ./random -listen-address=:8082  &

修改prometheus.yml文件

[root@fabric-cli prometheus-2.2.1.linux-amd64]# 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: - job_name: 'example-random' # Override the global default and scrape targets from this job every 5 seconds. scrape_interval: 5s static_configs: - targets: ['localhost:8080', 'localhost:8081'] labels: group: 'production' - targets: ['localhost:8082'] labels: group: 'canary'

执行`rpc_durations_seconds`  
![03][]

配置收集规则

avg(rate(rpc_durations_seconds_count[5m])) by (job, service)

创建文件搜集规则文件`prometheus.rules.yml`

[root@fabric-cli prometheus-2.2.1.linux-amd64]# cat prometheus.rules.yml 
    groups:
    - name: example   rules:
      - record: job_service:rpc_durations_seconds_count:avg_rate5m     expr: avg(rate(rpc_durations_seconds_count[5m])) by (job, service)

修改配置文件`prometheus.yml`

[root@fabric-cli prometheus-2.2.1.linux-amd64]# cat prometheus.yml 
    global:
      scrape_interval:     15s # By default, scrape targets every 15 seconds.
      evaluation_interval: 15s # Evaluate rules every 15 seconds.
    
      # Attach these extra labels to all timeseries collected by this Prometheus instance.
      external_labels:
        monitor: 'codelab-monitor'
    
    rule_files:
      - 'prometheus.rules.yml'
    
    scrape_configs:
      - job_name: 'prometheus'
    
        # Override the global default and scrape targets from this job every 5 seconds.
        scrape_interval: 5s
    
        static_configs:
          - targets: ['localhost:9090']
    
      - job_name:       'example-random'
    
        # Override the global default and scrape targets from this job every 5 seconds.
        scrape_interval: 5s
    
        static_configs:
          - targets: ['localhost:8080', 'localhost:8081']
            labels:
              group: 'production'
    
          - targets: ['localhost:8082']
            labels:
              group: 'canary'

重新启动prometheus服务  
执行`job_service:rpc_durations_seconds_count:avg_rate5m`表达式

![09][]  
参考:  
[getting\_started][getting_started]  
END

[https://blog.csdn.net/yevvzi/article/details/79561150][https_blog.csdn.net_yevvzi_article_details_79561150]

infludb集群安装  
[https://www.cnblogs.com/tianqing/p/7153023.html][https_www.cnblogs.com_tianqing_p_7153023.html]

[download prometheus]: https://prometheus.io/download
[prometheus configuration]: https://prometheus.io/docs/prometheus/latest/configuration/configuration/
[http_10.4.93.141_9090_metrics]: http://10.4.93.141:9090/metrics
[prometheus]: /images/20220525/738d4883397e46338207537a2279f8af.png
[http_10.4.93.141_9090_graph]: http://10.4.93.141:9090/graph
[pro01]: /images/20220525/1271b9c37d754d9ebe0b7ce32350a016.png
[01]: /images/20220525/1d8149f80dfb462d9ec063bd8bc30c15.png
[expression language documentation]: https://prometheus.io/docs/prometheus/latest/querying/basics/
[03]: /images/20220525/b31677ef9508489285769e23e7de3add.png
[09]: /images/20220525/058cf8feffe74cee99047d43306677a7.png
[getting_started]: https://prometheus.io/docs/prometheus/latest/getting_started/
[https_blog.csdn.net_yevvzi_article_details_79561150]: https://blog.csdn.net/yevvzi/article/details/79561150
[https_www.cnblogs.com_tianqing_p_7153023.html]: https://www.cnblogs.com/tianqing/p/7153023.html