Build a CI/CD pipeline for API Management
APIs have become mundane. They have become the de facto standard for connecting apps, data, and services.
Business decision makers
Discover insights and strategies tailored for business leaders, designed to navigate the complexities of the cloud and drive impactful decisions.
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Rerun activities inside your Azure Data Factory pipelines
Data Integration is complex with many moving parts. -
Instantly restore your Azure Virtual Machines using Azure Backup
Today, we are delighted to share the release of Azure Backup Instant Restore capability for Azure Virtual Machines (VMs). -
Announcing Azure Integration Service Environment for Logic Apps
We strive with every service to provide experiences that significantly improve the development experience. -
Modernize alerting using Azure Resource Manager storage accounts
Classic alerts in Azure Monitor will reach retirement this coming June. -
More reliable event-driven applications in Azure with an updated Event Grid
We have been incredibly excited to be a part of the rise of event-driven programming as a core building block for cloud application architecture. -
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! -
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. -
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.
Explore Microsoft Foundry
The future of AI starts here. Envision your next great AI app with the latest technologies. Get started with Azure.
