OpenShift採用Blackbox_exporter進行服務狀態監控

時間 2019-11-24

標籤 openshift 採用 blackbox exporter 進行服務狀態監控简体版

原文原文鏈接

本文主要是針對prometheus的blackbox_exporter，對集羣中的服務進行狀態的監控html

由於OpenShift 3.11版本本身帶的promethues修改起來有一些問題，因此本身安裝和部署了本身的prometheus和grafanalinux

1.BlackBox安裝

blackbox的詳細狀況能夠參考git

https://github.com/prometheus/blackbox_exportergithub

安裝過程以下docker

git clone https://github.com/prometheus/blackbox_exporter.git

在https://github.com/prometheus/blackbox_exporter/releasesapp

下載最新版本的blackbox_exporter-0.14.0.linux-amd64.tar.gz , 解壓放到相應的目錄下，而後構建鏡像flex

docker build -t blackbox_exporter .

blackbox能夠直接經過docker run來運行在本地，好比ui

docker run -d -p 9115:9115 --name blackbox blackbox_exporter

但問題是咱們須要針對ocp內部的服務進行監控，所以最好仍是做爲pod運行在ocp的內部，這樣經過服務就能夠獲取固定的url.url

2.Blackbox部署成爲Pod

下面三條語句，比較簡單了...spa

oc new-project blackbox
oc import-image blackbox:latest --from=registry.example.com/openshift/blackbox_exporter:latest  --insecure --confirm

oc new-app blackbox:latest --name=blackbox

完成後看到有個blackbox pod在運行

3.部署prometheus

Prometheus部署使用的是

https://github.com/openshift/origin/tree/master/examples/prometheus

下載相關版本鏡像，推送到registry.example.com,而後

oc new-project prometheus
oc new-app -f prometheus.yaml -p NAMESPACE=prometheus

由於本來prometheus的配置是在內部的，爲了便於修改，直接放到宿主機上。

將須要監控的url寫入到prometheus.yml的配置

配置文件以下

[root@master prometheus]# cat prometheus.yml
rule_files:
  - '*.rules'
.....
- job_name: blackbox metrics_path: /probe params: module: [http_2xx] static_configs: - targets: - http://ericapp1.ericproject1:8080
      - http://ericapp2.ericproject1:8080
 relabel_configs: - source_labels: [__address__] target_label: __param_target - source_labels: [__param_target] target_label: instance - target_label: __address__ replacement: blackbox.blackbox:9115 # Blackbox exporter.

alerting:
  alertmanagers:
  - scheme: http
    static_configs:
    - targets:
      - "localhost:9093"

主要看blackbox這段.

oc create configmap prom-config --from-file=prometheus.yml

oc set volume sts/prometheus  --add --overwrite  --name=config-volume   --mount-path=/etc/prometheus/myconfig  --source='{"configMap": { "name": "prom-config"}}'

而後進入console修改prometheus的yaml

一切完成，進入prometheus的主頁面，看到相關的指標

4.部署grafana

能夠參考

https://github.com/openshift/origin/tree/master/examples/grafana

https://labs.consol.de/development/2018/01/19/openshift_application_monitoring.html

oc new-project grafana

oc new-app -f grafana.yaml -p NAMESPACE=grafana

oc policy add-role-to-user view system:serviceaccount:grafana:grafana-ocp -n prometheus

登陸grafana界面，添加數據源，這個數據源這裏折騰了一段時間

由於是走的https,因此必須須要token,這個token值爲

[root@master prometheus]# oc sa get-token grafana-ocp
eyJhbGciOiJSUzI1NiIsImtpZCI6IiJ9.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJncmFmYW5hIiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZWNyZXQubmFtZSI6ImdyYWZhbmEtb2NwLXRva2VuLXhodDl2Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQubmFtZSI6ImdyYWZhbmEtb2NwIiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQudWlkIjoiM2IyYmU5YjQtNThkMS0xMWU5LThlMDQtMDgwMDI3ZGM5OTFhIiwic3ViIjoic3lzdGVtOnNlcnZpY2VhY2NvdW50OmdyYWZhbmE6Z3JhZmFuYS1vY3AifQ.NAf03C7v42aBNrRbwLcIosKDFgv3WyBA2-jZ73RqmX-OyNkshzgkvO6RZDGU7Oi9x27Hu7S69CW-2nZBDqSuCKP_fOyr7pKkOZTHfmgnXQdOeqnG8WSGM5HMbMsLbrAgOMZSehG5jFos-FaJb6jYJwQx485u0ViwWcSN58y7m4unIyrXgvzvjCoFijIjoCcYOvJklZVAsToVIFnevOcXEdJhtoitFiG2Agg4_KSiEUOhhKzyvKCIOLfSZN1UGsicUx_vFmqix8ARmOegILJNdRHksBAXRdReZuaJlJ1-FJnh1j9-QVVSSgw2DP6JrMEhS9gV38VWiWhoizSZLqsgCw

Save Test後必定須要出現is working啊.

New Dashboard

singlestat->edit->metrics,修改options

修改完最後

好啦，搞定！