Setup a CI/CD pipeline with package management for your Team Services extension

In recent posts we covered our CI/CD pipelines for the Yeoman generator package, for simple extensions, and for extension with unit testing and code coverage. We continue by exploring our Roll-up Board extension pipeline, which pulls a shared package from the Package Management in Team Services. These CI/CD pipeline posts are based on our Applying…


Windows Embedded Compact 7 Development on Windows 10

Although the following scenario works keep in mind that it is not necessarily supported by Microsoft, use the information at own risk. It’s important to note that official Support for Visual Studio 2008 ends April 10th 2018. Recently I spent time looking into this scenario, a colleague pointed me to a post on the MSDN…


Using RStudio Server with Microsoft R Server Parcel for Cloudera

In previous releases of Microsoft R Server, parcel installation required downloading two pre-built parcel files. The 9.1 release improves upon this experience by providing a parcel generator script generate_mrs_parcel.sh to generate a single MRS-9.1.0-*.parcel file. Here are the complete instructions to install MRS Parcel in Cloudera Cluster. In this article we will look into how to…


Setup continuous deployment to Azure Government using Visual Studio Team Services

Azure Government clouds provide private and semi-isolated locations for specific Government or other services, separate from the normal Azure services. Highest levels of privacy have been adopted for these clouds, including restricted data access policies. Azure Government clouds are completely isolated environments and require unique Azure endpoints to manage the services offered there. They support authentication using management certificate,…


Team Services Extensions Roundup – April

A 6 month high of 30 new Visual Studio Team Services extensions got added to the Marketplace in April. It was really hard to only pick two from such a big set so I encourage everyone to check them all out on the ‘Recently Added’ section of our Marketplace. There are two extensions I want…


Fixing a problem with “Unsubscribe” in Outlook.com

One of the problems that some of our users have been experiencing in Outlook.com is using the “You can unsubscribe” widget: The widget above shows up when we think the message is bulk, and the message contains a List-Unsubscribe header, and that header contains a mailto. We parse out the mailto and send a message…

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Data Factory Scheduling

Often questions arise on how to correctly schedule Azure Data Factory pipelines. In this post we will look at some of the possible options and how they can affect your scheduling. The first two options revolve around changing when the datasets will become available for a pipeline to run. A pipeline may be set to…

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ReplTip – Technique to exceed column limits for Merge Replication

Chris SkorlinskiMicrosoft SQL Server Escalation Services While working with a customer on a Merge Replication project, we encounter a potential road block. They had a published table which exceeded the number of columns allowed for Merge Replication. From this article https://technet.microsoft.com/en-us/library/ms151749(v=sql.105).aspx: If your application does not require column-level tracking, it is recommended that you use…


D365 Portals : Using FetchXML with Liqiuid

Hello Everyone, This is my first ever post with D365 Portals. I will bring up more interesting ones as we go along. Today I am going to talk about how you can customize your portal’s web template to use CRM fetch query with liquid. Prerequisites: FetchXML using Advanced Find in CRM Customizing D365 Portals Scenario: D365…


機器學習的生命週期作業:Machine Learning Operationalization

這篇文章會帶您透過幾個簡單的指令,快速的將 TensorFlow, CNTK 或是 Python 所建立的預測模型,部署到 Azure Container Service (ACS) 或 HDInsight Spark 上,以達到高擴充性的需求。 AML CLI (Azure Machine Learning Command Line Interface) 是個全新的 Azure 機器學習指令集,目前是 preview 版本,目的在將機器學習的生命週期,例如 Experiment, Model training, Deployment, Management 等.能透過指令自動化流程處理。同時支援 CNTK, TenserFlow 等不同的機器學習框架,未來也將支援如 GPU/FPGA 等機器,協助資料科學家們對模型生命週期的訓練及管理。 GitHub 上有完整範例及文件並隨時更新,已可在 Linux Data Science Virtual Machine (DSVM) 上使用。 環境準備 首先你需要有 Azure 訂用帳戶 (取得訂用帳戶),然後依說明文件建一個 DSVM 出來 (要完成以下練習,只要選擇最便宜的機器即可)。 透過…