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  《Windows Azure Platform 系列文章目录

 

  1.之前接触一些客户,使用Prometheus Cloud Watch Exporter,把AWS监控指标,与Prometheus整合

  https://github.com/prometheus/cloudwatch_exporter

  客户希望微软云Azure也提供类似的功能,能把Azure的监控指标(虚拟机、Redis PaaS等,MySQL PaaS数据等),与Prometheus整合

  2.目前查询下来,没有官网提供的Exporter功能,但是查询到第三方开源的解决方案:

  https://github.com/webdevops/azure-metrics-exporter

  3.该开源方案基于Azure SDK for Go,实现Azure Monitor Metirc Exporter功能。具体的部署方式如下:

  4.创建Service Principle,并赋权,建议授予Azure Contributor权限,给整个订阅

  5.安装虚拟机,本文以Azure CentOS 7.9环境为例。具体创建步骤略。

  6.我们根据上面创建的Service Principle,在CentOS 7.9上设置环境变量。根据实际情况修改下面的内容:

  AZURE_CLIENT_ID=""
  AZURE_TENANT_ID=""
  AZURE_CLIENT_SECRET=""

  7.安装Prometheus

  我这里使用Prometheus 2.50.1

  https://github.com/prometheus/prometheus/releases/download/v2.50.1/prometheus-2.50.1.linux-amd64.tar.gz

  具体安装步骤略。

  8.下载与运行Azure Monitor Metric Exporter项目

  项目文件在:https://github.com/webdevops/azure-metrics-exporter/releases

  我们先下载24.2.0版本:

  https://github.com/webdevops/azure-metrics-exporter/releases/download/24.2.0/azure-metrics-exporter.linux.amd64

  下载后运行:

nohup ./azure-metrics-exporter.linux.amd64 &

 

  9.我们编辑prometheus.yml文件,增加下面的内容

  (1) job_name,设置job名称

  (2)下面的subscription,是我演示环境的订阅ID。请按照实际情况修改

  (3)metricNamespace和metric,请按照实际需要的指标名称进行修改

  (4)请注意下图使用的地址和端口号,为localhost:8080

  具体指标可以参考文档:https://github.com/webdevops/azure-metrics-exporter

  - job_name: azure-metrics-storageaccount-connections
    scrape_interval: 1m
    metrics_path: /probe/metrics/list
    params:
      name: ["my_own_metric_name"]
      subscription:
      - 166157a8-9ce9-400b-91c7-1d42482b83d6
      resourceType: ["Microsoft.Storage/storageAccounts"]
      metricNamespace: ["Microsoft.Storage/storageAccounts/blobServices"]
      metric:
      - BlobCapacity
      interval: ["PT1H"]
      timespan: ["PT1H"]
      aggregation:
      - average
      - count
      # by blobtype (dimension support)
      # metricFilter: ["BlobType eq '*'"]
      metricTop: ["10"]
    static_configs:
    - targets: ["localhost:8080"]

 

  10.我们执行下面的命令,启动Prometheus

./prometheus --config.file=prometheus.yml

 

  11.Prometheus的默认端口为:9090

  12.打开浏览器,查看http://ip:9090,如下图。点击Status, Target

 

  13.下图展示的azure-metric-storageaccount-connection,就是我们在Step 9中配置的

  

 

  14.我们打开上图的exporter端口,这里以我的演示环境为例。链接地址略。

  15.显示结果为,包含我订阅下所有存储账户名称,及存储账户的容量大小:

# HELP my_own_metric_name Azure monitor insight metric
# TYPE my_own_metric_name gauge
my_own_metric_name{aggregation="average",interval="PT1H",metric="BlobCapacity",resourceGroup="cdn-rg",resourceID="/subscriptions/166157a8-9ce9-400b-91c7-1d42482b83d6/resourcegroups/cdn-rg/providers/microsoft.storage/storageaccounts/leicdnoriginalstorage",resourceName="leicdnoriginalstorage",subscriptionID="166157a8-9ce9-400b-91c7-1d42482b83d6",subscriptionName="leizhang-non-prod",tag_owner="",timespan="PT1H",unit="Bytes"} 33835
my_own_metric_name{aggregation="average",interval="PT1H",metric="BlobCapacity",resourceGroup="cloud-shell-storage-southeastasia",resourceID="/subscriptions/166157a8-9ce9-400b-91c7-1d42482b83d6/resourcegroups/cloud-shell-storage-southeastasia/providers/microsoft.storage/storageaccounts/cs110032002647d220b",resourceName="cs110032002647d220b",subscriptionID="166157a8-9ce9-400b-91c7-1d42482b83d6",subscriptionName="leizhang-non-prod",tag_owner="",timespan="PT1H",unit="Bytes"} 0
my_own_metric_name{aggregation="average",interval="PT1H",metric="BlobCapacity",resourceGroup="fw-hybrid-test",resourceID="/subscriptions/166157a8-9ce9-400b-91c7-1d42482b83d6/resourcegroups/fw-hybrid-test/providers/microsoft.storage/storageaccounts/niostoragetest01",resourceName="niostoragetest01",subscriptionID="166157a8-9ce9-400b-91c7-1d42482b83d6",subscriptionName="leizhang-non-prod",tag_owner="",timespan="PT1H",unit="Bytes"} 0
my_own_metric_name{aggregation="average",interval="PT1H",metric="BlobCapacity",resourceGroup="lab-rg",resourceID="/subscriptions/166157a8-9ce9-400b-91c7-1d42482b83d6/resourcegroups/lab-rg/providers/microsoft.storage/storageaccounts/leiadls",resourceName="leiadls",subscriptionID="166157a8-9ce9-400b-91c7-1d42482b83d6",subscriptionName="leizhang-non-prod",tag_owner="",timespan="PT1H",unit="Bytes"} 1104
my_own_metric_name{aggregation="average",interval="PT1H",metric="BlobCapacity",resourceGroup="lab-rg",resourceID="/subscriptions/166157a8-9ce9-400b-91c7-1d42482b83d6/resourcegroups/lab-rg/providers/microsoft.storage/storageaccounts/leilabstorage01",resourceName="leilabstorage01",subscriptionID="166157a8-9ce9-400b-91c7-1d42482b83d6",subscriptionName="leizhang-non-prod",tag_owner="",timespan="PT1H",unit="Bytes"} 34272

 

  这就是我的环境i的5个存储对象,如下图:

 

  16.Azure Monitor Metric Exporter还提供调试的功能,我们可以执行:

nohup ./azure-metrics-exporter.linux.amd64 --development.webui &

 

  17.Azure metric exporter提供web 界面进行查询。以我的环境为例,打开链接:http://20.52.9.41:8080/query。我们可以在下面进行调试:

 

 

posted on 2024-03-15 17:47  Lei Zhang的博客  阅读(111)  评论(0编辑  收藏  举报