Latest news and updates about Azure.
Microsoft highlighted how Azure Database for PostgreSQL and the new Azure HorizonDB help enterprises modernize legacy Oracle environments with better scale, performance, and lower operational costs. The update also introduces an AI-assisted Oracle-to-PostgreSQL migration tool in preview, aimed at reducing migration complexity for developers and IT teams.
Microsoft used KubeCon + CloudNativeCon Europe 2026 to highlight new Azure Kubernetes Service capabilities and upstream open-source work for AI, networking, observability, and multi-cluster operations. The updates matter for IT and platform teams because they improve GPU workload support, strengthen identity-based security, and simplify running Kubernetes at scale on Azure.
Microsoft announced major Azure AI updates at NVIDIA GTC, including expanded Microsoft Foundry capabilities, new Azure infrastructure for inference-heavy AI workloads, and deeper support for Physical AI. The changes matter because they help organizations build and run production-grade AI agents, prepare for next-generation NVIDIA systems, and extend AI into regulated and real-world operational environments.
Microsoft announced new Microsoft Fabric data platform updates at FabCon and SQLCon 2026, led by the early access launch of Database Hub in Fabric. The updates aim to unify database management, improve AI readiness with OneLake and Fabric IQ, and help organizations govern data estates across cloud, on-premises, and edge environments.
Microsoft announced a broad set of Azure SQL and Microsoft Fabric database updates at SQLCon 2026, focused on AI-assisted management, modernization, and unified governance. Highlights include GitHub Copilot in SSMS 22, a new savings plan for databases, Fabric security enhancements, and the new Database Hub for cross-platform database management.
Microsoft has launched a new season of The Shift podcast focused on agentic AI, with eight weekly episodes exploring how AI agents use data, coordinate with each other, and depend on platforms like Postgres, Microsoft Fabric, and OneLake. The series matters because it highlights that deploying agents in enterprises is not just about models—it requires rethinking architecture, governance, security, and IT workflows across the full Azure and data stack.
Microsoft says Azure combined with agentic AI can help regulated industries modernize legacy systems faster by automating workload assessment, migration, and ongoing operations while maintaining compliance. The update matters because it positions cloud migration as more than a cost-saving exercise: for sectors like healthcare and other highly regulated industries, it is increasingly essential for resilience, governance, and readiness to deploy AI at scale.
Microsoft has launched a public preview of Fireworks AI on Microsoft Foundry, bringing high-throughput, low-latency open-model inference to Azure through a single managed endpoint. It matters because enterprises can now access models like DeepSeek V3.2, gpt-oss-120b, Kimi K2.5, and MiniMax M2.5 with Azure’s governance, serverless or provisioned deployment options, and bring-your-own-weights support—making it easier to move open-model AI from experimentation into production.
Microsoft has introduced new public preview modernization agents in Azure Copilot and GitHub Copilot to help organizations automate migration and application transformation across discovery, assessment, planning, deployment, and code upgrades. The announcement matters because it aims to turn complex, fragmented modernization work into a coordinated AI-assisted workflow, helping enterprises move legacy infrastructure and applications to Azure faster and with clearer cost, dependency, and prioritization insights.
Microsoft has introduced the Azure IaaS Resource Center, a centralized hub for infrastructure teams to find design guidance, demos, architecture resources, and best practices for compute, storage, and networking. The launch matters because it reinforces Azure IaaS as a unified platform for building resilient, high-performance, and cost-optimized infrastructure, helping organizations better support everything from traditional business apps to AI workloads.
A Forrester Total Economic Impact study commissioned around Microsoft Foundry found that a modeled enterprise could achieve 327% ROI over three years, break even in about six months, and realize $49.5 million in benefits from productivity and infrastructure savings. The results matter because they highlight how much enterprise AI costs are driven by developer time and fragmented tooling, suggesting that a unified platform like Foundry can help IT teams accelerate AI delivery while improving governance and efficiency.
Microsoft has introduced GPT-5.4 in Microsoft Foundry, positioning it as a production-focused AI model for enterprise workloads that need stronger instruction following, longer context handling, faster latency, and more reliable tool and file orchestration. The update matters because it moves AI agents closer to dependable real-world business automation, while the new GPT-5.4 Pro variant targets complex analytical and decision-heavy workflows that demand greater stability and completeness.