Modernize alerting using Azure Resource Manager storage accounts
Classic alerts in Azure Monitor will reach retirement this coming June.
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Preview: Distributed tracing support for IoT Hub
Most IoT solutions, including our Azure IoT reference architecture, use several different services. -
Update to Azure DevOps Projects support for Azure Kubernetes Service
Kubernetes is going from strength to strength as adoption across the industry continues to grow. -
Azure.Source – Volume 70
Actuating Mobility in the Enterprise with New Azure Maps Services and SDKs; Under the hood: Performance, scale, security for cloud analytics with ADLS Gen2; Moving your Azure Virtual Machines has never been easier; and more! -
Update 19.02 for Azure Sphere public preview now available
The Azure Sphere 19.02 release is available today. -
Protect Azure Virtual Machines using storage spaces direct with Azure Site Recovery
Storage spaces direct (S2D) lets you host a guest cluster on Microsoft Azure which is especially useful in scenarios where virtual machines (VMs) are hosting a critical application like SQL, Scale out file server, or SAP ASCS. -
Monitor at scale in Azure Monitor with multi-resource metric alerts
Our customers rely on Azure to run large scale applications and services critical to their business. -
Under the hood: Performance, scale, security for cloud analytics with ADLS Gen2
On February 7, 2019 we announced the general availability of Azure Data Lake Storage (ADLS) Gen2. -
How Azure Security Center helps you protect your environment from new vulnerabilities
Recently the disclosure of a vulnerability (CVE-2019-5736) was announced in the open-source software (OSS) container runtime, runc. -
Moving your Azure Virtual Machines has never been easier!
To meet customer demand, Azure is continuously expanding. -
Anomaly detection using built-in machine learning models in Azure Stream Analytics
Built-in machine learning models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. -
Maximize throughput with repartitioning in Azure Stream Analytics
Customers love Azure Stream Analytics for its ease of analyzing streams of data in movement, with the ability to set up a running pipeline within five minutes.
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