Azure Machine Learning data collector provides real-time logging of input and output data from models that are deployed to managed online endpoints or Kubernetes online endpoints. This data can be seamlessly used for model monitoring, debugging, or auditing, thereby providing observability into the performance of your deployed models.
A common challenge for developers is the management of credentials for applications to use when connecting to resources. Managed identities provide an automatically managed identity in Microsoft Entra ID. Applications can use managed identities to obtain Microsoft Entra tokens without having to manage any credentials.
Using your Azure Virtual Network Manager network groups in the source and/or destination of security admin rules is now in public preview, enabling users to achieve network isolation across different environments and manage network segments more easily at scale.
Azure Virtual Network encryption is a feature of Azure Virtual Networks. Virtual network encryption allows you to seamlessly encrypt and decrypt traffic between Azure Virtual Machines.
Public Preview of Query editor in Azure Monitor Metrics is now Available! Get started with Query editor to access advanced querying capabilities within Azure Monitor Metrics. With the Query Editor’s seamless integration of the widely adopted Prometheus Query Language (PromQL), customers can unlock advanced querying capabilities within their Azure Monitor Workspace. With PromQL, you can…
This article describes the improvements for the latest version of Azure Site Recovery components.