前言

? prometheus 是監控應用軟件類似于nagios.

?

安裝

? 1.官網下載prometheus-2.2.0.linux-amd64壓縮包，解壓,執行./prometheus即可。這里重要的是配置文件。

? ? ?a.如果要遠程熱加載配置文件,啟動時加上--web.enable-lifecycle參數。 調用指令是curl -X POST http://localhost:9090/-/reload

? ? ?b.重要掌握?prometheus.yml 配置文件.prometheus啟動時會加載它。

[root@vm-local1 prometheus-2.2.0.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.評估間隔# scrape_timeout is set to the global default (10s). 默認抓取超時10秒# Alertmanager configuration #管理報警配置 alerting:alertmanagers:- static_configs:- targets: ["localhost:9093"] #管理報警包需要單獨下載，默認啟動端口是9093# Load rules once and periodically evaluate them according to the global 'evaluation_interval'. rule_files:# - "first_rules.yml"# - "second_rules.yml"- rules/mengyuan.rules #要發送報警，就得寫規則，定義規則文件# A scrape configuration containing exactly one endpoint to scrape: # Here it's Prometheus itself. scrape_configs: #抓取配置，就是你要抓取那些主機# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.- job_name: 'prometheus' #任務名稱# metrics_path defaults to '/metrics' #默認抓取監控機的url后綴地址是/metrics# scheme defaults to 'http'. #模式是httpstatic_configs:- targets: ['localhost:9090','localhost:9100']labels:group: 'zus' #targets就是要抓取的主機，對應的客戶端，我這有兩個，把它們倆規定為一個組，組名是zus- job_name: dj #又建立個任務名稱static_configs:- targets: ['localhost:8000'] #我用django自定義的客戶端

?

?注意：

? ? ?localhost:9090,默認prometheus提供了數據抓取接口，9100端口是prometheus提供的一個監控客戶端

2.安裝prometheus客戶端

? 官網下載node_exporter-0.16.0-rc.1.linux-amd64客戶端，解壓,執行./node_exporter 即可，默認是9100端口

3.如何自定義一個客戶端，其實很簡單，只要返回的數據庫類型是這樣就可以.我這用的django..只要格式正確就可以

??

def metrics(req):ss = "feiji 32" + "\n" + "caidian 31"return HttpResponse(ss)

?

4.編寫?rules/mengyuan.rules 規則，規則是發送報警的前提

?

[root@vm-local1 rules]# cat mengyuan.rules groups: - name: zusrules:# Alert for any instance that is unreachable for >5 minutes.- alert: InstanceDown #報警名字隨便寫expr: up == 0 #這是一個表達式，如果主機up狀態為0,表示關機了，條件為真就會觸發報警 可以通過$value得到值for: 5s #5s內，還是0，就發送報警信息，當然是發送給報警管理器labels:severity: page #這個類型的報警定了個標簽annotations:summary: "Instance {{ $labels.instance }} down dangqian {{ $value }}"description: "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 5 minutes."

　　

5.現在安裝報警管理器

? a.官網下載alertmanager-0.15.0-rc.1.linux-amd64　　

? ? 重要的還是配置文件，創建修改它

??

[root@vm-local1 alertmanager-0.15.0-rc.1.linux-amd64]# cat alertmanager.yml route:receiver: mengyuan2 #接收的名字，默認必須有一個，對應receivers的- namegroup_wait: 1s #等待1sgroup_interval: 1s #發送間隔1srepeat_interval: 1m #重復發送等待1m分鐘再發group_by: ["zus"] routes: #路由了，匹配規則標簽的severity:page 走 receiver: mengyuan ,?如果routes不寫，就會走默認的mengyuan2- receiver: mengyuan match:severity: pagereceivers: - name: 'mengyuan'webhook_configs: #這我用的webhook_configs 鉤子方法,??默認會把規則的報警信息發送到127.0.0.1:8000- url: http://127.0.0.1:8000send_resolved: true - name: 'mengyuan2'webhook_configs:- url: http://127.0.0.1:8000/2send_resolved: true

?

6.django接收報警發過來的消息

? 用Django的? request.body會受到json格式的數據,大概像這樣

??{"receiver":"mengyuan","status":"resolved","alerts":[{"status":"resolved","labels":{"alertname":"InstanceDown","group":"zus","instance":"localhost:9100","job":"prometheus","severity":"page"},"annotations":{"description":"localhost:9100 of job prometheus has been down for more than 5 minutes.","summary":"Instance localhost:9100 down dangqian? 0"},"startsAt":"2018-04-06T22:34:13.51281763+08:00","endsAt":"2018-04-06T23:07:43.514552824+08:00","generatorURL":"http://vm-local1:9090/graph?g0.expr=up+%3D%3D+0\u0026g0.tab=1"}],"groupLabels":{},"commonLabels":{"alertname":"InstanceDown","group":"zus","instance":"localhost:9100","job":"prometheus","severity":"page"},"commonAnnotations":{"description":"localhost:9100 of job prometheus has been down for more than 5 minutes.","summary":"Instance localhost:9100 down dangqian? 0"},"externalURL":"http://vm-local1:9093","version":"4","groupKey":"{}/{severity=\"page\"}:{}"}

?到此，我就可以根據收到的數據，調用郵件接口，或其他第三方報警接口了。

?

總結：

? ?本人也是剛入門。做的一個筆記。

?

轉載于:https://www.cnblogs.com/whf191/p/8729460.html

總結

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