《Windows Azure Platform 系列文章目錄》
1.之前接觸一些客戶，使用Prometheus Cloud Watch Exporter，把AWS監控指標，與Prometheus整合
https://github.com/prometheus/cloudwatch_exporter
客戶希望微軟雲Azure也提供類似的功能，能把Azure的監控指標(虛擬機、Redis PaaS等，MySQL PaaS數據等)，與Prometheus整合
2.目前查詢下來，沒有官網提供的Exporter功能，但是查詢到第三方開源的解決方案：
https://github.com/webdevops/azure-metrics-exporter
3.該開源方案基於Azure SDK for Go，實現Azure Monitor Metirc Exporter功能。具體的部署方式如下：
4.創建Service Principle，並賦權，建議授予Azure Contributor權限，給整個訂閱
5.安裝虛擬機，本文以Azure CentOS 7.9環境爲例。具體創建步驟略。
6.我們根據上面創建的Service Principle，在CentOS 7.9上設置環境變量。根據實際情況修改下面的內容：
AZURE_CLIENT_ID=""
AZURE_TENANT_ID=""
AZURE_CLIENT_SECRET=""
7.安裝Prometheus
我這裏使用Prometheus 2.50.1
具體安裝步驟略。
8.下載與運行Azure Monitor Metric Exporter項目
項目文件在：https://github.com/webdevops/azure-metrics-exporter/releases
我們先下載24.2.0版本：
下載後運行：
nohup ./azure-metrics-exporter.linux.amd64 &
9.我們編輯prometheus.yml文件，增加下面的內容
(1) job_name，設置job名稱
(2)下面的subscription，是我演示環境的訂閱ID。請按照實際情況修改
(3)metricNamespace和metric，請按照實際需要的指標名稱進行修改
(4)請注意下圖使用的地址和端口號，爲localhost:8080
具體指標可以參考文檔：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.我們執行下面的命令，啓動Prometheus
./prometheus --config.file=prometheus.yml
11.Prometheus的默認端口爲：9090
12.打開瀏覽器，查看http://ip:9090，如下圖。點擊Status, Target
13.下圖展示的azure-metric-storageaccount-connection，就是我們在Step 9中配置的
14.我們打開上圖的exporter端口，這裏以我的演示環境爲例。鏈接地址略。
15.顯示結果爲，包含我訂閱下所有存儲賬戶名稱，及存儲賬戶的容量大小：
# 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
這就是我的環境i的5個存儲對象，如下圖：
16.Azure Monitor Metric Exporter還提供調試的功能，我們可以執行：
nohup ./azure-metrics-exporter.linux.amd64 --development.webui &
17.Azure metric exporter提供web 界面進行查詢。以我的環境爲例，打開鏈接：http://20.52.9.41:8080/query。我們可以在下面進行調試：
