2016/01/24
Azure AWS SoftLayer GCP 比較
http://cloudcomparison.rightscale.com
https://azure.microsoft.com/ja-jp/campaigns/azure-vs-aws/mapping/
無駄な時間は最小限に。
2016/01/19
Raspberry Pi から Power BI までの IoT 的な一連の流れ
素晴らしい・・・。
SORACOM Air メタデータサービスでIMSI情報を取得し、Microsoft Azure「Event Hub」と接続する
#Event Hub, Stream Analytics, Power BI
SORACOM Air メタデータサービスでIMSI情報を取得し、Microsoft Azure「Event Hub」と接続する
#Event Hub, Stream Analytics, Power BI
2016/01/08
Azure上で、Performance Monitor ログ収集
これで（ほぼ）リアルタイムで。
===ログ容量の参考見積
For a particular computer, a given counter instance (e.g., Processor(_Total)\% Processor Time) with 10 second sample interval will send ~1MB per day (~1MB/day/counter instance). You can multiply this number by the number of computers that you have to get an estimate usage per counter instance across all your computers.
===
http://www.systemcentercentral.com/oms-near-real-time-nrt-performance-data-collection/
===ログ容量の参考見積
For a particular computer, a given counter instance (e.g., Processor(_Total)\% Processor Time) with 10 second sample interval will send ~1MB per day (~1MB/day/counter instance). You can multiply this number by the number of computers that you have to get an estimate usage per counter instance across all your computers.
===
http://www.systemcentercentral.com/oms-near-real-time-nrt-performance-data-collection/
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