Monthly updates for February 2019
Announcing the general availability of Azure Lab Services.
In the Sprint 148 Update of Azure DevOps, we added a new CLI extension that allows you to interact with Azure DevOps services by using the command line.
A new video weekly series highlights specific aspects of the Azure portal so you can be more efficient and productive while deploying your cloud workloads from the portal.
Azure SQL Database Managed Instance supports renaming databases.
Azure Log Analytics is available for preview in Australia East and in Australia Central.
Azure Container Registry now supports container registries that can be placed within a Virtual Network , eliminating the public endpoint and enabling firewall rules for specific external resources access.
WildFly on Azure App Service on Linux is now in preview. Run Java EE apps on Azure and take advantage of the Azure infrastructure for security, and scalability.
To stop application data from reaching your workspace after OMS portal deprecation, remove existing connections by using a PowerShell script.
You can use Azure Data Factory to operationalize your Azure HDInsight Spark and Hadoop workloads against HDInsight clusters with Enterprise Security Package that are joined to an Active Directory domain.
You can monitor the health of your data factory pipelines by using the Azure Data Factory Analytics service pack available in the Azure Marketplace.
Azure Data Factory visual tools are now integrated with GitHub, so you can collaborate with other developers, do source control, and version your data factory assets.
You can share an existing self-hosted IR with multiple data factories. This functionality helps you reuse an existing self-hosted IR infrastructure in another data factory while building a hybrid data-integration pipeline.
You can now parameterize a linked service in Azure Data Factory.
Azure Data Factory now generates linked Resource Manager templates for CI/CD by breaking the factory payload into several files to help users with Resource Manager template limits.
Azure Functions is now integrated with Azure Data Factory, so you can run an Azure function as a step in your data factory pipelines.
Organizations can now improve operational productivity by creating alerts on data integration events (success/failure) and proactively monitor with Azure Data Factory.
Azure Data Factory pipelines now include tagging support and enhanced monitoring capabilities, including dashboards and improved debugging support.
You can visually design, build, and manage data transformation processes without learning Spark or having a deep understanding of the distributed infrastructure.
The TypeScript developer experience in Azure Functions has improved. New tools include the Azure Functions Core Tools and the Azure Functions Extension for Visual Studio Code, as well as a npm package that contains type definitions for using TypeScript with Azure Functions and some npm scripts to abstract some func commands.
Azure Database for MySQL now supports continuous asynchronous replication of data from one Azure Database for MySQL server (master) to up to five Azure Database for MySQL servers (replicas) in the same region.
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