Azure updates

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Products

    May 2019

    May 8

    Azure Monitor BUILD 2019 updates

    Azure Monitor is launching a number of exciting features including end to end AKS monitoring, granular RBAC for logs, intelligent and scalable alerts, a new application change analysis capability and more.

    May 8

    Azure Red Hat OpenShift now available

    Azure Red Hat OpenShift, a fully managed Red Hat OpenShift service, jointly operated with Red Hat is now available.

    May 7

    New networking features for App Service Linux are now in preview

    New networking capabilities to enable Linux apps to access resources securely are now available in preview.

    May 7
    May 7
    May 7

    Azure App Service new full screen experience is now available

    App Service is offering a new, full screen experience that simplifies the application creation and publishing workflow.

    May 7

    New-and-improved SAP connector is now generally available

    The SAP connector for Logic Apps enables bidirectional integration of data between SAP and other LOB applications or SaaS. The connector works with SAP's classical releases such R/3, ECC systems on-premises. The connector also enables integration with the SAP's newer HANA based SAP systems such as S/4 HANA, wherever they are hosted - on premises or in the cloud.

    May 7

    Improved distributed tracing of serverless applications built with Functions and API Management is now available

    We have improved observability of serverless applications built with Functions and API Management – allowing you to easily monitor, debug, and maintain them with Application Insights. 

    May 7

    Expose a Function App via API Management by linking it to a new or existing API is now available

    We have simplified the publishing and consumption experience of API-based Function Apps. You can now easily manage them with API Management from the Function Apps’ own interface in the Azure portal.  

    May 7

    Durable Functions now supports a new stateful entities pattern

    Durable Functions now supports a new stateful entities pattern, enabling you to build stateful Azure Functions that map to an actor.

    May 7

    Azure Cosmos DB API for etcd in preview

    With a wire-protocol compatible API for etcd on top of Azure Cosmos DB, developers will automatically get highly reliable, globally distributed and highly available Kubernetes and K8 tools with no code changes or management required.

    May 6

    IoT Plug and Play announcement at Build

    Today we’re announcing IoT Plug and Play, which is based on an open modeling language that allows developers to connect IoT devices to the cloud without having to write any code.

    May 6

    Azure Cost Management multi-cloud for AWS is in preview

    Now you can manage your AWS spend along your Azure spend in Azure Cost Management

    May 6

    Azure Shared Image Gallery is now generally available

    Azure Shared Image Gallery makes it easier to manage, share and distribute custom virtual machine (VM) images in Azure. Shared Image Gallery is now generally available in all public cloud regions.

    May 6

    Inline Code for Azure Logic Apps is in preview

    Committed to meet customers where they are, the new Inline code feature enables developers to write and execute simple ECMAScript (also known as JavaScript) right from within Logic Apps.

    May 6

    RosettaNet connector and standard support is now in preview

    Logic Apps provides the ability to send and receive RosettaNet based messages through RosettaNet connector, which supports the operations to decode or receive and encode or send messages.

    May 6

    Azure Container Instances Windows Server 2019 container support is now in preview

    Azure Container Instances (ACI) now supports Windows Server 2019 based containers in public preview

    May 6

    New features for Azure Machine Learning are now available

    Features include: Model Interpretability - Machine learning interpretability allows data scientists to explain machine learning models globally on all data, or locally on a specific data point using the state-of-art technologies in an easy-to-use and scalable fashion. Machine Learning interpretability incorporates technologies developed by Microsoft and proven third-party libraries (for example, SHAP and LIME).

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