Updates Archives
Monthly updates for July 2019
Azure IoT Edge 1.0.8 release is now available
Azure IoT Edge 1.0.8 release is available with multiple improvements.
Azure portal July 2019 feature update
This month, Azure portal updates include updates to Azure Security Center, the ability to use ephemeral OS disks on Azure VMs, sending Windows diagnostics data to Azure Monitor and more.
Premium Blob now supports Blob Lifecycle Management
Premium Blob now supports policy-based object deletion.
Azure Monitor Log Analytics UI updates – June 2019
We are excited and happy to share with you our latest updates and improvements to the Log Analytics UI!1. Log Analytics dashboard picker Log Analytics dashboards can visualize all of your saved log…
Azure Site Recovery: Support released for large disks (up to 8 TB)
You can now protect large data disks of up to 8 TB in size with Azure Site Recovery.
Location telemetry support in IoT Central is now available
We have added support for location telemetry that lights up scenarios such as asset track and trace, connected logistics, and more!
Azure AD Application Proxy support for single sign-on to SAML-based applications.
Connect custom or popular SAML-based on-premises line of business apps to Azure AD for single sign-on.
Introducing promotional pricing for the Basic Linux App Service Plan
We’re excited to introduce a promotional price on the Basic app service plan for Linux, which depending on regional meters in your datacenter of choice, leads to a 66 percent price drop! In addition, we are also now offering a free App Service Plan for Linux, making starting out on App Service easier than ever!
One Click Integration with Stream Analytics from Event Hubs
With just 1 click, Event Hubs customers can easily visualize incoming streaming data and start writing Stream Analytics query from the Event Hubs portal.
Pattern Matching Function is now available in Stream Analytics
With the new MATCH_RECOGNIZE function, developers can easily define event patterns using regular expressions and aggregate methods to verify and extract values from the match.
Stream Analytics supports output to Azure Data Lake Storage Gen 2
Azure Stream Analytics now offers output adapter for egress to Azure Data Lake Storage Gen 2.
Stream Analytics offers native support for Parquet format
Azure Stream Analytics now offers native support for Apache Parquet format when writing to Azure Blob storage or Azure Data Lake Storage Gen 2.
Analytics as aggregates is now available in Stream Analytics
Developers can now use aggregates such as SUM, COUNT, AVG, MIN and MAX directly with the OVER clause, without having to define a window.
Authenticate Stream Analytics egress to Azure Blob Storage using managed identities
Now you can authenticate Stream Analytics egress to Azure Blob Storage using managed identities.
Introducing UTF-8 support for Azure SQL Database
Support for the widely used UTF-8 character encoding is now available as preview in Azure SQL Database, as a database-level or column-level default encoding for Unicode string data.
Azure Resource Graph is now generally available
Azure Resource Graph, which enables exploration of your resources at scale, is now generally available for all Azure customers.
Introducing the Microsoft Cloud Adoption Framework for Azure
The Microsoft Cloud Adoption Framework for Azure provides end-to-end guidance, best practices, documentation, and tools that cloud architects, IT professionals, and business decision makers need to successfully achieve their objectives.
New 48vCPUs Azure Virtual Machine sizes are now available
New 48vCPUs sizes for the Dv3, Dsv3, Ev3, Esv3, Fsv2, and Lsv2 Azure Virtual Machines (VMs) are now available so you can better match your workload requirements.
Azure Stream Analytics now offers native support for Apache Parquet format
Stream Analytics now offers native support for Apache Parquet format when writing to Azure Blob storage.
Azure Kinect DK is now generally available in the United States and China
Azure Kinect DK is a developer kit with advanced artificial intelligence (AI) sensors for building sophisticated computer vision and speech models.
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