¿Private endpoint storage Bicep tirando 403? Te mostramos las cinco piezas de DNS que lo arreglan, la tabla de zonas por sub-recurso y el DNS híbrido on-premises.

AI is changing the role of storage. In this conversation, Azure Storage leaders Aung Oo and Vybava Ramadoss discuss how enterprise AI workloads are reshaping storage requirements and why the data layer has become critical to AI performance, scale, governance, and cost efficiency. Learn how Azure Storage helps organizations: • Turn enterprise data into AI-ready knowledge • Support Retrieval-Augmented Generation (RAG) and agent-based workloads • Deliver the throughput and low-latency performance AI systems require • Improve GPU utilization and inference efficiency • Modernize existing data estates for AI without re-architecting applications • Maintain governance and control of enterprise data across AI workflows • Integrate seamlessly with Azure AI Foundry, Azure AI Search, Azure OpenAI, AKS, and leading AI ecosystems Whether you're building AI applications, deploying agents, modernizing existing workloads, or preparing your enterprise data for AI, this discussion explores how storage has evolved from foundational infrastructure to a strategic enabler of enterprise AI. Explore the latest Azure infrastructure, AI, storage, migration, resiliency, and modernization resources in the Azure IaaS Resource Center: https://msft.it/6053aO2xL #Azure #AzureStorage #EnterpriseAI #ArtificialIntelligence

AI is changing the role of storage. In this conversation, Azure Storage leaders Aung Oo and Vybava Ramadoss discuss how enterprise AI workloads are reshaping storage requirements and why the data layer has become critical to AI performance, scale, governance, and cost efficiency. Learn how Azure Storage helps organizations: • Turn enterprise data into AI-ready knowledge • Support retrieval-augmented generation (RAG) and agent-based workloads • Deliver the throughput and low-latency performance AI systems require • Improve GPU utilization and inference efficiency • Modernize existing data estates for AI without re-architecting applications • Maintain governance and control of enterprise data across AI workflows • Integrate seamlessly with Azure AI Foundry, Azure AI Search, Azure OpenAI, AKS, and leading AI ecosystems Whether you're building AI applications, deploying agents, modernizing existing workloads, or preparing your enterprise data for AI, this discussion explores how storage has evolved from foundational infrastructure to a strategic enabler of enterprise AI. Explore the latest Azure infrastructure, AI, storage, migration, resiliency, and modernization resources in the Azure IaaS Resource Center: https://msft.it/6052azmn0 #Microsoft #Azure #AzureStorage #AzureAI #AzureAIFoundry #AzureOpenAI #IaaS #MicrosoftAzure

Microsoft has launched public previews for two MCP Servers, one for general Azure resources and another for Azure Database for PostgreSQL, standardizing AI data access.

Microsoft has introduced auto-scaling, snapshot support, and CRC protection in Azure Elastic SAN, offering businesses greater flexibility and security in cloud storage.

YouTube video by Ibne Sabid Saikat

In this blog post, you will learn how to use Azure Arc in combination with Azure Storage Mover to migrate data from Amazon S3 bucket to Azure Blob Storage. By using an Azure Arc multicloud connecto…

Learn how Azure Storage is evolving for agentic workloads, Kubernetes‑based cloud‑native applications, and block storage at global scale. Read more.

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YouTube video by John Savill's Technical Training

Originally published on Microsoft Tech Community.

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Hello Folks, I promised the full agenda would drop soon. Today’s the day. The schedule is locked in, the approved sessions are on the board, and I want to...