Free local development using the DocumentDB Emulator plus .NET Core support
We’re excited to introduce a public preview of the DocumentDB Emulator, which provides a local development experience for the Azure DocumentDB service.
Discover insights and strategies tailored for business leaders, designed to navigate the complexities of the cloud and drive impactful decisions.
We’re excited to introduce a public preview of the DocumentDB Emulator, which provides a local development experience for the Azure DocumentDB service.
The general availability of Azure Data Lake ushers in a new era of productivity for your big data developers and scientists.
This post talks about new security features provided by Azure Backup.
We are excited to expand support of Bletchley v1 into the Azure Marketplace and add many new partners to our growing ecosystem.
The Azure Relay service was amongst the initial core set of services available on Azure, and is a fundamental hybrid cloud integration tool for many current solutions running on Azure.
We are happy to announce Azure Government documentation! This documentation provides guidance that is tailored to our Azure Government customers.
The public preview of Azure Monitor was announced at Ignite last month. Learn more about how this new platform service builds on existing monitoring capabilities.
We are pleased to announce the public preview of Microsoft Azure Analysis Services, the latest addition to our data platform in the cloud.
Recently we released several updates to Azure DocumentDB portal experience. We added a new consolidated metrics experience which includes new metrics for availability, throughput, consistency, and latency which allows you to track how DocumentDB is meeting its SLA.
Today we are excited to announce the public preview of Azure Monitor, a new platform service that provides monitoring capabilities for Azure resources.
We would like to introduce you to our next generation command-line tools for Azure: Azure Command-Line Interface (Azure CLI) 2.0 Preview.
Of the many key scenarios for Event Hubs, are long term data archival and downstream micro-batch processing. Customers typically use compute (Event Processor Host/Event Receivers) or Stream Analytics jobs to perform these archival or batch processing tasks.