Join and Help the community with Containers for Applications in the Cloud or on Every Infrastructure.
Share your Container knowledge with the community and Education.
Hope to see you there as a free member to build an Awesome virtual Community and it’s all about Containers 😉
The Microsoft Data Science Virtual Machine (DSVM) is a powerful data science development environment that enables you to perform various data exploration and modeling tasks. The environment comes already built and bundled with several popular data analytics tools that make it easy to get started quickly with your analysis for On-premises, Cloud or hybrid deployments. The DSVM works closely with many Azure services and is able to read and process data that is already stored on Azure, in Azure SQL Data Warehouse, Azure Data Lake, Azure Storage, or in Azure Cosmos DB. It can also leverage other analytics tools such as Azure Machine Learning and Azure Data Factory.
You can Choose which OS you Like.
The ‘Data Science Virtual Machine (DSVM)’ is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development.
Highlights:
Microsoft R Server – Dev. Ed. (Scalable R)
Anaconda Python
SQL Server 2016 Dev. Ed. – With In-Database R analytics
Microsoft Office 365 ProPlus BYOL – Shared Computer Activation
Julia Pro + Juno Editor
Jupyter notebooks
Visual Studio Community Ed. + Python, R & node.js tools
Power BI Desktop
Deep learning tools e.g. Microsoft Cognitive Toolkit (CNTK 2.0), TensorFlow & mxnet
ML algorithm libraries e.g. xgboost, Vowpal Wabbit
Azure SDKs + libraries for various Azure Cloud offerings. Integration tools are included for:
Tools for ML model operationalization as web services in the cloud, using Azure ML or Microsoft R Server.
Creating the Azure DSVM with Windows Server 2016
I use this Azure DSVM for testing and I will enable Auto-Shutdown Scheduler
(to save money)
The following software is by default installed in the Azure DSVM :
My Azure Data Science Virtual Machine in the Cloud 😉
From here you can configure your Data Management Gateway.
Microsoft Data Management Gateway connects on-premises data sources to cloud services for consumption. With Microsoft cloud services, such as Power BI for Office 365 and Azure Data Factory you get benefits including fast deployment, low maintenance cost, and flexible billing model while keeping your enterprise data on-premises. With Data Management Gateway, you can connect on-premises data to cloud services in a secure and managed way, to respond more quickly to changing business needs with a flexible, hybrid cloud platform. You can benefit from Microsoft cloud services while you keep your business running with the on-premises data.
More information about the Data Management Gateway :
With Microsoft Azure Cloud Services you can make a lot of resources using for your Business. Think about Storage, Compute, Databases, Networks and
applications. Microsoft Azure Security is there to keep your resources and data as save as possible against cybercrime.
Experience the newest technologies in Microsoft Azureby joining Scott Guthrie for sessions on how you can do more on the intelligent cloud. Scott will present a deep dive into Microsoft’s cloud services, advanced workloads and capabilities. He’ll do several demonstrations first-hand to show how these solutions can enable you to achieve more using the best of the Linux ecosystem and the best of the Windows ecosystem, together. Demos will include the latest in infrastructure – VM scale sets, managed disks, Hybridcloud, Azure Stack, enterprise mobility + security, Xamarin/mobile development, SQL, Data Lake, Cognitive Services, Machine Learning, AI, R, open source capabilities, Logic Apps, Power BI, Flow, developer tools and services, containers and more.
Microsoft System Center Management Pack (Community Technology Preview) for SQL Server vNext Replication enables the monitoring of Replication as a set of technologies for copying and distributing data and database objects from one database to another and then synchronizing between the databases to maintain consistency.
Azure DevTest Labs is a service that helps developers and testers quickly create environments in Azure while minimizing waste and controlling cost. You can test the latest version of your application by quickly provisioning Windows and Linux environments using reusable templates and artifacts. Easily integrate your deployment pipeline with DevTest Labs to provision on-demand environments. Scale up your load testing by provisioning multiple test agents, and create pre-provisioned environments for training and demos.
Here you see my Azure TestLAB and I will add a Docker artifact to my Running VM
JamesTestLAB
Here you find the Getting Started Documentation
In your TestLAB you can work with RBAC
Here you see the Roles in Azure DevTest LAB.
In my JamesTestLAB I have a Container01 with Windows Server 2016 with Container running.
Via the Marketplace for Artifacts, I select the Docker for Windows Server 2016 artifact 😉
Docker Artifact
Just ADD
Installing Docker for Windows Server 2016
Done !
Connect Container01
Docker for Windows Server 2016 Running in my Azure Test LAB
Microsoft Azure Application Analytics for Docker Container Apps
Docker Pull Microsoft/applicationinsights
How to use this Image
Obtain the instrumentation key of your Application Insights resource. (Look in the Essentials drop-down.) If you don’t have a resource, create a new one.
Run the following command, replacing %app_ikey% with your instrumentation key:
docker run -v /var/run/docker.sock:/docker.sock -d microsoft/applicationinsights ikey=%app_ikey%
If your application is instrumented with the Application Insights SDK for Java, add the following line into the ApplicationInsights.xml file in your project, under the <TelemetryInitializers> element:<Add type=”com.microsoft.applicationinsights.extensibility.initializer.docker.DockerContextInitializer”/>
Note: Only a single container is required per Docker host. If your application is deployed on multiple Docker hosts, then create an instance of this image on every host.