Updated guidance helps organizations migrate storage workloads away from legacy TLS versions ahead of stricter security enforcement.

Abstract: Azure SQL DB offers disaggregated storage architecture called Hyperscale. While this architecture provides storage scale out, it comes at the cost of performance of I/O from remote storage.

Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing PostgreSQL databases did not. Microsoft is previewing a third ...

Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS. The move to building and training AI models at scale has had interesting second-order ...

Protecting data across AWS and Azure requires more than traditional backup methods; it demands a modern, cloud-native strategy. In this free virtual event, you'll learn proven approaches for securing ...

Azure outage affected global industries, including airlines and airports Microsoft 365 services impacted by Azure configuration change Outage follows recent Amazon AWS disruption, highlighting tech ...

A trove of some four terabytes (TB) of confidential data from consulting giant EY was found completely exposed to the public internet. The leak, uncovered by researchers from Neo Security and first ...

Microsoft announced general availability of a cloud-to-cloud migration tool for users adopting its Azure platform. Azure Storage Mover is designed for Amazon Web Services (AWS) customers who want to ...

Microsoft is warning IT administrators about an increase in attacks aimed at Azure Blob Storage, saying threat actors are taking advantage of exposed credentials, weak access controls and ...

Azure Blob Storage, like any object data service, is a high-value target for threat actors due to its critical role in storing and managing massive amounts of unstructured data at scale across diverse ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...