Monthly updates for July 2015
Stream Analytics built-in output types include Service Bus queues and topics. You can also connect to Power BI output for Stream Analytics jobs under any Azure account.
The Azure preview portal supports creating, editing, and deleting stored procedures, user-defined functions, and triggers from the Script Explorer blade.
Before introducing customers to your API, make sure it’s high quality and production ready by using the Ready! API plug-in for Azure API Management.
A full set of Windows PowerShell cmdlets for the Azure API Management API is available via the standard Azure PowerShell installer.
Choose the granularity of your charts in Application Insights.
You can customize how frequently and how many times logic apps will retry failures. Also, the logic app engine has made major performance improvements and added an easy way to get started by using logic app templates.
Users can author Jupyter notebooks, and publish Python-based web services, directly from Azure Machine Learning Studio.
With Premium Encoding for Azure Media Services, customers can deploy this advanced encoder where they can take advantage of automated decision-making logic that can adapt to a variety of inputs.
We’ve announced the general availability of 3 new regions for Azure Search—Brazil South, Australia East, and Japan West—bringing the global availability of Azure Search to a total of 11 regions.
Azure Data Catalog is a fully managed service in Azure and an enterprise-wide metadata catalog that enables self-service data source discovery.
In Azure Automation, you can export and import graphical runbooks.
Blade usability is standardized. This may affect customized pages.
Azure Machine Learning made changes to improve the web service publishing experience.
Azure Machine Learning now has better support for mobile devices.
The latest Mobile Apps SDK works with any ASP.NET project and provides more control over how your app operates.
Event Hubs supports AMQP over Web Sockets to provide expanded connectivity for protocol-constrained networks.
We have added a search box to help you find exactly the connector you're looking for, and, we have added much richer details to the Run blade.
Apache Spark for Azure HDInsight provides a fast and easy way to run interactive data analysis on large data sets.
With the HPC Pack 2012 R2 Update 2, HPC Pack supports Linux virtual machines running on Azure.
We now support Linux remote direct memory access (RDMA) technology, enabling scientists and engineers to solve complex problems by using simulations running on Azure.