April 30, 2024
In the ever-evolving landscape of digital infrastructure, transparency in resource and application performance is imperative. Success hinges on visibility, and that’s true whether you’re operating on […]
April 30, 2024
With the trend towards distributed and native cloud apps, organizations are dealing with more distributed components across more environments. To maintain control and consistency, you can […]
April 30, 2024
Federation image by Copilot Designer I’ve written several “Connecting” posts over the years describing how to connect one IDP to another. To explore the entire ‘Connecting’ series, simply […]
April 30, 2024
The Azure Proactive Resiliency Library (APRL) is a collection of best practices, recommendations, and scripts that help you improve the resiliency of your Azure Virtual Desktop […]
April 30, 2024
Today, we’re announcing the general availability of on demand capacity reservations for Azure Virtual Machines in Azure for US Government Cloud . You can now manage and reserve […]
April 30, 2024
[Azure Updates] We are announcing public preview Azure Monitor pipeline (for edge). With this, we are now extending our Azure Monitor pipeline capabilities from the cloud […]
April 30, 2024
Implement a split-brain DNS configuration to differentiate traffic treatment based on DNS and whether a client originates from the internet or a corporate network.
April 30, 2024
Implement a split-brain DNS configuration to differentiate traffic treatment based on DNS and whether a client originates from the internet or a corporate network.
April 30, 2024
[Azure Updates] ACR now supports expanded registry capacity of up to 40TiB and optimized geo-replication performance.
April 30, 2024
Harness the power of edge AI when disconnected from the internet and move your AI models to the edge with a solution architecture that includes Azure […]
April 30, 2024
Learn how to extend rapid machine learning inference from the cloud to on-premises and edge locations with Azure Stack Edge.
April 30, 2024
Learn how to build, deploy, and manage high-quality models with Azure Machine Learning, a service for the end-to-end machine learning lifecycle.