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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.
Now you can manage your AWS spend along your Azure spend in Azure Cost Management
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).
Spark connector for Azure Data Explorer and ability to run inline Python and R as part of the query.
The new ClientCacheRefreshPolicy property allows IT or the Analysis Services practitioner to disable automatic cache refreshes.
Azure is now the first major public cloud with end-to-end security for IoT for your devices, hubs and cloud resources. We are adding advanced threat protection for IoT to three key services: Azure Security Center, Azure Sentinel and Azure IoT Hub.
Azure Monitor for VMs (preview) is now available in Central Canada and UK South. Around the world, it’s available in six public regions.
Azure Monitor is a fully managed monitoring service that collects and analyses telemetry from your Azure and on-premises resources and applications, and allows you to maximise the performance and availability of your application.
The Azure Analysis Services web designer will be removed from the Azure portal as early as 1 March 2019.
Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices and more. It brings together a highly performant and scalable cloud database service with an intuitive query language to deliver near-instant insights.
In the Sprint 146 Update of Azure DevOps, we improved our GitHub integration with Azure Pipelines. The “New build pipeline” wizard can now create pipelines for GitHub Enterprise repositories.
Get intelligent insights to ensure that your data warehouse is consistently optimised for performance with SQL Data Warehouse intelligent insights.
Version 1.0 of the Azure Event Hubs package for Node.js is now generally available.
Version 1.0 of the Azure Event Hubs package for Go is generally available.
Version 1.0 of the Python package for Azure Event Hubs is now generally available.
Great new features are now available in Power BI Embedded.
An Azure Memory Thrashing metric is available for Power BI Embedded.
Cognitive Search, a new preview feature in the existing Azure Search service, includes an enrichment pipeline allowing you to find rich structured information from documents. That information can then become part of your Azure Search index.
Azure SQL Data Warehouse has enabled the next set of portal capabilities to help monitor, manage and integrate your data warehouse.
Azure Analysis Services is now available in the Central US region.
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