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Azure Updates: Sovereign Cloud; Cloud cost optimization; Smart tier

Editorial Team, MSDynamicsWorld.com

Microsoft GM of Global Infrastructure Alistair Speirs announced that Microsoft was named a Leader in the Forrester Wave for Sovereign Cloud Platforms. Microsoft placed in the Leader category alongside Google Cloud, Tencent Cloud, Amazon Web Services, and Oracle. 

Microsoft Sovereign Cloud currently combines capabilities such as public cloud with data residency and access controls to meet EU Data Boundary requirements, private cloud with hybrid deployments, and partner-operated national cloud like Delos Cloud and Bleu. Speirs wrote:

One of the differentiators cited in the evaluation is Microsoft’s ability to make key capabilities available across sovereign public and sovereign private cloud. Forrester specifically calls out Microsoft’s container and Kubernetes capabilities, including the use of Azure Arc and Azure Local to run Kubernetes clusters in connected or disconnected environments, supported by infrastructure-as-code and GitOps tooling.

VP Aung Oo highlighted the general availability of smart tier for Data Lake Storage and Azure Blob. Smart tier capabilities offer fully managed automated tiering to continually optimize storage costs. Managing lifecycle rules is increasingly challenging as data estates grow. Smart tier works to counter sprawl by moving objects across hot, cool, and cold tiers. 

“We see a significant and measurable benefit from adopting smart tier in Azure Storage for our Azure Data Explorer (ADX) clusters. By intelligently placing data in the most cost‑effective tier based on actual usage patterns, smart tier allows us to optimize storage spend without sacrificing performance,” wrote Brad Watts, principal PM for Azure Data Explorer. “Hot data remains instantly accessible for query workloads, while cooler, less frequently accessed data is automatically shifted to lower‑cost tiers. Smart tier effectively removed the guesswork from storage optimization, enabling us to focus on delivering insights rather than managing data placement.”

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