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Microsoft

Next-Gen Cloud - Azure's Blueprint for the Intelligent Resilient Enterprise

Microsoft via YouTube

Overview

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Explore Microsoft's vision for next-generation cloud infrastructure designed specifically for the AI era in this 16-minute conference presentation from Microsoft Ignite 2025. Discover how Azure is revolutionizing cloud computing with intelligent, automated operations built to handle the world's most demanding AI workloads. Learn about groundbreaking innovations including the new Fairwater AI Super Factories and Azure Copilot that enable organizations to modernize applications, scale workloads efficiently, and maintain secure operations with enhanced resilience. Examine three strategic focus areas that define Azure's approach to AI-powered infrastructure, including detailed discussions on current trends and advances in Azure's infrastructure capabilities. Get insights into major announcements regarding new AI compute centers in Atlanta and Fairwater, and understand how cloud-native technologies like Azure Kubernetes Service (AKS) and PostgreSQL are being leveraged to support sophisticated AI workloads. Delve into the construction and deployment strategies for advanced AI data centers, focusing on accelerated deployment speeds and modernization processes. Understand the transition to cloud-native architectures through Platform-as-a-Service (PaaS) solutions and database modernization techniques, while exploring infrastructure as code methodologies for creating repeatable modernization processes. Gain knowledge about application-level resiliency concepts, shared responsibility models, and the introduction of Azure Resiliency features for comprehensive disaster recovery and testing capabilities, all presented by Jeremy Winter from Microsoft.

Syllabus

0:00 - AI’s Impact on Infrastructure and Overview of Three Strategic Focus Areas
00:01:49 - In-Depth Discussion: Trends and Advances in Azure Infrastructure
00:02:19 - Major Announcement: New AI Compute Centers in Atlanta and Fairwater
00:05:25 - Adoption of cloud-native technologies like AKS and PostgreSQL to support AI workloads
00:07:08 - Building advanced AI data centers while accelerating deployment speed
00:10:42 - Transitioning to cloud-native with PaaS and database modernization
00:11:07 - Infrastructure as code and repeatable modernization processes
00:12:06 - Exploring application-level resiliency and shared responsibility
00:12:25 - Introducing Azure Resiliency for disaster recovery and testing

Taught by

Microsoft Ignite

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