Microsoft Azure Blog

Takeaway: Brain is Azure’s AI-powered cloud reliability intelligence system: an AIOps system that sits as an intelligent layer on top of Azure Resource Graph and fuses platform telemetry, AI/ML models, service dependencies, and customer impact into a single, continuously updated view of how every service, region, and workload is performing.

Takeaway: Azure Chaos Studio helps organizations validate application resilience by simulating outages, failovers, network disruptions, and infrastructure failures before they impact production. You don’t know with certainty that your application is resilient until that resilience is tested. Better to learn it isn’t by deliberately breaking it in a test environment and watching how it reacts, than by a failure in production.

Claude in Microsoft Foundry is the production path enterprises have been asking for: true frontier model choice, Azure-native controls, simplified procurement, and faster time to value. Most enterprise AI projects do not stall because of model quality. They stall because of everything around the model: procurement, governance, networking, and data. Claude in Microsoft Foundry is now generally available, hosted on Azure, giving teams a faster path from agent experimentation to production.

Linux workloads are evolving quickly as organizations modernize on-premises Linux applications, adopt cloud-native architectures, and build new AI and data-intensive pipelines in the cloud. As this shift accelerates, teams need a managed file platform that delivers the performance, resilience, security, and flexibility required to support these workloads in Azure. Azure Files helps teams make that transition with fully managed file storage for Linux workloads.

Poor database performance is never just a database problem. In enterprise teams, it shows up as missed service-level agreements (SLAs), delayed releases, frustrated development teams, and rising operational risk. The performance problem compounds further in business impact, often resulting in frustrated customers, retention and conversion risk, and lost revenue.

Enterprise storage migrations are rarely just about copying data. They are about protecting business continuity, maintaining performance, managing cost, and giving teams confidence when terabytes or petabytes of data sit at the heart of critical applications. That confidence is difficult to build when migration planning is fragmented.

We are announcing the early access preview for Azure Cobalt 200 Arm-based Virtual Machines (VMs), designed for Linux-based agentic AI workloads. As organizations increasingly embrace the agentic era for AI, customer demands for compute are reshaping the architecture of cloud infrastructure as we know it.

Together, Microsoft and SAP are helping enterprises transform operations, decision-making, and innovation at scale on Azure. Together, Microsoft and SAP are helping enterprises transform operations, decision-making, and innovation at scale on Azure. At SAP Sapphire 2026, Microsoft and SAP continue to build on a deep, decades-long partnership—one that is increasingly centered on a shared vision for how enterprises innovate in the age of AI.

Microsoft and Red Hat show how Azure Red Hat OpenShift powers modernization and production AI with secure, scalable enterprise governance. At Red Hat Summit 2026, Microsoft and Red Hat highlight how Microsoft Azure Red Hat OpenShift supports modernization and production AI workloads—helping organizations move from AI pilots to production systems with consistent governance, security, and scale.

Security for cloud infrastructure is no longer defined by a single control, product, or boundary. Modern threats target identity, software supply chains, control planes, networks, and data simultaneously. This blog post is the third part of a blog series called Azure IaaS which will share best practices and guidance to help you build a trusted infrastructure platform—from performance, resiliency, and security to scalability and cost efficiency.