YouTube Microsoft Developer

In this conversation, Boris Scholl and Niels Buit discuss where AI delivers real value—and where architects must carefully manage risks and tradeoffs. Full discussion at https://aka.ms/OperationalExcellence

9. 4. 2026

In this episode, we explore how AI enhances Operational Excellence. From observability and troubleshooting to automation, governance, and human-in-the-loop decision making. In this conversation, Boris Scholl and Niels Buit discuss where AI delivers real value—and where architects must carefully manage risks and tradeoffs. If you’re a cloud architect, platform engineer, or developer responsible for operating systems in production, this video will help you understand how to apply AI practically and assess risks and tradeoffs in real-world environments. ✅ What You’ll Learn How AI fits into the Operational Excellence pillar of the Well-Architected Framework How AI improves observability, dependency mapping, and proactive issue detection What AI can do today in root cause analysis, summarization, and remediation The risks of non-deterministic systems and how to mitigate them When and why to keep a human in the loop Security, privacy, and governance considerations for AI-driven operations How AI can turn WAF from a static checklist into a living, evolving system 00:06 – AI and Operational Excellence in the Well-Architected Framework 00:48 – Running AI vs Using AI to Improve Operations 01:21 – Why Day Two Operations Matter More Than Day One 02:05 – Observability, Deployment, and Troubleshooting 02:40 – Why Observability Is the Best Starting Point for AI 03:38 – Non-Deterministic AI and Operational Risk 04:05 – Real-World AI Use in Engineering Operations 04:39 – AI Opportunities: Simulation and Auto-Remediation 05:00 – Getting Started with OpenTelemetry 05:48 – What AI Enables in Observability Today 06:24 – Dependency Graphs and Predictive Failure Detection 07:01 – Human-in-the-Loop for Critical Incidents 08:00 – Fail Fast, Guardrails, and Responsible AI 08:50 – Hallucinations, RCA Accuracy, and Summarization Risk 09:29 – AI-as-a-Judge and Evaluation Patterns 10:17 – Security and Privacy Considerations 11:30 – How WAF Helps Navigate AI Tradeoffs 12:19 – Making WAF a Living, AI-Driven Framework 13:15 – Key Takeaways and Final Thoughts 🔗 Resources & Links 🚀 Azure Well-Architected Framework https://learn.microsoft.com/azure/well-architected/ Microsoft Learn https://learn.microsoft.com/en-us/azure/well-architected/operational-excellence/ ⚡ Try Azure for free https://aka.ms/AzureFreeTrialYT 👥 Speakers Boris Scholl https://www.linkedin.com/in/bscholl/ Niels Buit https://www.linkedin.com/in/nielsbuit/ #Azure #AI #OperationalExcellence #WellArchitectedFramework #CloudArchitecture #Observability #OpenTelemetry #DevOps #ResponsibleAI #AzureArchitecture #MicrosoftDeveloper #CloudComputing

9. 4. 2026

In this Budget Bites finale, we take a step back to explore what building AI-powered applications on a budget really signals for developers today. Join Microsoft leaders Shireesh (CVP, Azure Databases) and Priya Sati (VP, SQL) as they reflect on the season’s journey - from building AI apps with just $25 to scaling production-ready systems using Azure SQL, GitHub Copilot, and intelligent agents. ⏱️ Chapters 00:07 – Welcome to Budget Bites and the $25 AI challenge 01:09 – What’s changed for customers building AI today 01:43 – The AI–Cloud–Developer experience trifecta 03:02 – Building AI on a budget: Azure SQL perspective 04:25 – AI infrastructure costs and what people get wrong 07:13 – Data as the new oil: what’s the modern refinery? 08:53 – Why experience matters in the age of AI and agents 10:23 – DBA agents and reducing operational drudgery 13:52 – Agents + structured, governed data with Azure SQL 18:26 – Scaling from free Azure SQL to hyperscale production 20:24 – From data to unified intelligence: Microsoft’s vision 25:02 – Final takeaways and building budget-smart AI apps 🚀Visit the Repo: https://aka.ms/budgetbytes 🚀Get started for FREE: https://aka.ms/budgetbytes/freeoffer 🚀Watch more Budget Bytes: https://aka.ms/budgetbytes/series

9. 4. 2026

GitHub Copilot already generates awesome SQL code but awesome is different from aligned with your team. In this episode, we explore how to take full control of GitHub Copilot context inside VS Code using the MSSQL extension. We start with a clean workspace to demonstrate what GitHub Copilot produces with zero context, then add a single custom instruction file that teaches it your team's exact T-SQL conventions automatically. We then use Plan Mode to design a full data model from a PRD (Product Requirements Document) and bring it to life in Schema Designer with Agent Mode, connecting GitHub Copilot to your actual database. From there, we create a skills file that teaches GitHub Copilot your vector search architecture as a slash command, generating SQL Server 2025/Azure SQL Database T-SQL without explaining anything in the prompt. To wrap up, we open the GitHub Copilot debug panel to inspect the full LLM request payload, including the system prompt and injected context, so you can see exactly what GitHub Copilot receives with every request. Learn how to make GitHub Copilot and the MSSQL extension for VS Code work like a teammate who already knows your standards and architecture in this episode of Data Exposed. 0:00 Introduction 1:33 Demo 8:45 Demo 17:16 Demo 18:33 Getting started ✔️Resources: Install: https://aka.ms/vscode-mssql Demos: https://aka.ms/vscode-mssql-demos Blogs: https://aka.ms/vscode-mssql-blogs Documentation: https://aka.ms/vscode-mssql-docs 📌 Let's connect: Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna Twitter - AzureSQL, https://aka.ms/azuresqltw 🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt 🔔 Subscribe to our channels for even more SQL tips: Microsoft Azure SQL: https://aka.ms/msazuresqlyt Microsoft SQL Server: https://aka.ms/mssqlserveryt Microsoft Developer: https://aka.ms/microsoftdeveloperyt #AzureSQL #SQL #LearnSQL

9. 4. 2026

What if AI agents could not only suggest Power Automate flows - but actually build, debug, optimize, and govern them for you? In this episode of The Low Code Revolution show, we go beyond the boundaries of Copilot with real, end‑to‑end demos showing how AI agents interact directly with Power Automate using the Flow Studio MCP (Model Context Protocol) server created by John Liu and Catherine Han. John and Catherine demonstrate how AI agents powered by Flow Studio MCP can securely access Power Platform environments, understand flow runs, apply enterprise standards and advanced patterns, fix errors, and even implement approval escalation - all using natural language. ✅ Learn more: 🔗 Flow Studio MCP - https://mcp.flowstudio.app 🔗 Flow Studio MCP Guides: Getting Started, Debug, Build, Tools, Copilot Skills - https://learn.flowstudio.app ✅ Chapter Markers: 00:00 - Introduction 01:20 - Background: why Flow Studio MCP server was built for Power Automate 02:54 - Challenges with APIs & flow visibility 06:47 - Demo 1: Listing environments and existing flows 08:42 - Demo 2: Building and testing a complex approval flow 20:22 - Demo 3: Enforcing naming conventions using enterprise standards 23:56 - Demo 4: Approval escalation and timeout patterns 27:25 - Demo 5: Debugging failed flows and proactive error handling 30:34 - Future vision: Copilot Studio + multi‑agent scenarios 31:42 - Where to get Flow Studio MCP 35:27 - Wrap‑up ✅ Resources: Flow Studio - https://flowstudio.app Blog - https://johnliu.net/ John Liu LinkedIn - https://www.linkedin.com/in/johnnliu/ Catherine Han LinkedIn - https://www.linkedin.com/in/catherinetzungnihan/

9. 4. 2026

Designers have long handed off work from Figma to engineering—but Model Context Protocol (MCP) is changing that workflow. In this episode of Cozy AI Kitchen, Joanna Oikawa (Product Design Lead, VS Code) walks through how Figma MCP connects Figma designs directly to VS Code, enabling faster iteration, live collaboration, and AI‑assisted UI development. Watch the full episode at https://aka.ms/CAIK-JoannaOikawa

7. 4. 2026

Modernizing apps always sounds great… until you actually have to do it. Matt Soucoup breaks down how GitHub Copilot can analyze your project, generate a plan, and even create task lists to help you move from legacy .NET to modern .NET faster. It moves you from a “someday project” to “let’s actually ship this.” Learn more: https://msft.it/6053Q0gRh #dotnet #githubcopilot #appmodernization #devtools #softwaredevelopment

3. 4. 2026

What if modernizing your app didn’t start with guesswork? Matt Soucoup walks through how GitHub Copilot in VS Code can assess your project, generate a migration plan, and create structured tasks to help you upgrade from .NET Framework to modern .NET. A faster path from legacy code to current stack. More: https://msft.it/6054Q0gp4

3. 4. 2026

GitHub Copilot Dev Days are popping up around the world! Find an event near you or host one in your area! 📌 https://luma.com/githubcopilotdevdays #GitHubCoPilotDevDays #developercommunity

3. 4. 2026

Every insert, update, and delete in your SQL database is a business event — but turning those changes into real-time streams has traditionally meant stitching together complex pumbling, managing destination tables and handling schema changes that introduce downtime. In this episode, we show you how DeltaFlow in Microsoft Fabric Eventstreams eliminates that complexity. You will see how to go from a SQL database to analytics-ready, queryable tables in minutes; with automatic schema registration, destination table creation, and schema evolution handling built in. Whether you're building real-time dashboards, building real-time AI applications, this episode shows you the fastest path from your SQL database to real-time intelligence in Microsoft Fabric. 0:00 Introduction 1:15 Why isn't every SQL application real-time yet? 2:45 Real-Time Intelligence 3:15 Fabric Eventstream: Ingest, process and route events in real-time 5:45 Building event-driven, real-time applications with DeltaFlow 8:15 Demo 12:25 Handling Source Schema Changes 14:00 Demo 15:25 Getting started ✅ Resources: Building real-time, event-driven applications with Database CDC feeds and Fabric Eventstreams DeltaFlow (Preview): https://blog.fabric.microsoft.com/en-US/blog/building-real-time-event-driven-applications-with-database-cdc-feeds-and-fabric-eventstreams-deltaflow-preview/ 📌 Let's connect: Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna Twitter - AzureSQL, https://aka.ms/azuresqltw 🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt 🔔 Subscribe to our channels for even more SQL tips: Microsoft Azure SQL: https://aka.ms/msazuresqlyt Microsoft SQL Server: https://aka.ms/mssqlserveryt Microsoft Developer: https://aka.ms/microsoftdeveloperyt #AzureSQL #SQL #LearnSQL

1. 4. 2026

The third episode of The IQ Series opens with Amanda Silver introducing Knowledge Bases and how multiple Knowledge Sources unify behind a single endpoint. Pamela Fox and Matt Gotteiner then walk through topic-centric Knowledge Bases and demonstrate a multi-source query path, showing how Foundry IQ moves from isolated data pipelines to reusable, queryable knowledge. The episode closes with Tomomi's visual doodles, illustrating how this shift unlocks a more connected and scalable knowledge architecture. All resources related to the series and more are available in the repo 👉 https://aka.ms/iq-series

1. 4. 2026

New episode drop!! Jeremy Likness, an astrophotographer, joins John Maeda in the #CozyAIKitchen and shares how he uses AI tools to transform stunning images of the night sky into a creative business. Full episode: aka.ms/CAIK-JeremyLikness All episodes: aka.ms/CAIK-YTPlaylist

31. 3. 2026

Welcome back to the Cozy AI Kitchen, where our latest episode explores how creators and small business owners use AI to turn passion into impact. In this episode, we’re joined by Jeremy Likness, an astrophotographer, who shares how he uses Microsoft Copilot and AI-powered tools to transform stunning images of the night sky into a creative business. From analyzing photos and pricing artwork to generating cinematic videos, animations, and music, Jeremy walks us through real, practical ways AI helps him save time, reduce costs, and tell better stories, without writing custom code. Whether you’re a photographer, artist, or small business owner curious about AI, this episode shows how accessible and powerful these tools can be when you lean into them. What You’ll Learn: - How to use Microsoft Copilot to critique and analyze photography - AI-driven pricing strategies for selling art and prints - Turning still images into animated, cinematic video - Using AI to create music, storytelling visuals, and transitions - How small business owners can use AI without technical expertise - Why “just ask AI” is often the best place to start Key Takeaways - You don’t need to be technical to benefit from AI - Copilot works best when grounded in real-world constraints - AI excels at filling the “everything else” gap for small businesses - Creativity + AI unlocks entirely new storytelling formats Chapters 00:00 - Breadsticks, Telescopes, and Looking at the Stars 00:08 - Welcome to Cozy AI Kitchen 00:49 - Meet Astrophotographer Jeremy Likness 01:59 - Telescopes, Cameras, and Astrophotography Gear 02:47 - Turning Photos Into a Business With AI 03:19 - Using Microsoft Copilot to Analyze Images 04:29 - AI Pricing Strategy for Photography 05:32 - Running a Side Hustle With Limited Time 06:22 - Visualizing Canvas vs Metal Prints With AI 07:32 - Using Copilot as a No-Code AI Harness 08:10 - Animating Still Images for Video 09:13 - Storytelling With Constellations and Nebulae 10:28 - Seamless AI Transitions Between Images 10:52 - AI for Diagrams and Behind-the-Scenes Storytelling 11:04 - Generating Cinematic Music With AI 12:23 - Long-Form Ambient Space Videos 13:06 - Advice for Small Business Owners Using AI 14:48 - Saving Money With AI-Powered 3D Creation 16:06 - Final Takeaway: If You Need Help With AI, Ask AI Speakers Jeremy Likness Astrophotographer & Principal Product Manager https://www.linkedin.com/in/jeremylikness/ https://www.dswgalleries.com/ John Maeda - Host, Cozy AI Kitchen VP of Design and Artificial Intelligence, Microsoft https://www.linkedin.com/in/johnmaeda/ Resources & Links 🚀 Try Azure for free https://aka.ms/AzureFreeTrialYT 🚀 Try Microsoft Copilot with Microsoft 365 https://www.microsoft.com/microsoft-365/copilot 📚 Learn more about AI for small businesses https://learn.microsoft.com/ai 🎯 Explore more Cozy AI Kitchen episodes https://aka.ms/CAIK-YTPlaylist 🔔 Subscribe for more Microsoft Developer content Hashtags #CozyAIKitchen #MicrosoftCopilot #AIForCreatives #SmallBusiness #Photography #Astrophotography #AIStorytelling #SideHustle #NoCode #CreatorEconomy #MicrosoftDeveloper #AI

31. 3. 2026

It has finally arrived - native Regex directly in SQL Server! Now text can be searched using any Regex patterns using a variety of powerful, new functions. Enjoy demonstrations of some of the new features and why they will be a huge help for anyone that writes T-SQL! 0:00 Introduction 2:40 Demo 9:00 Demo 9:55 Getting started ✅ Resources: Regular Expressions Overview (Microsoft Learn): https://learn.microsoft.com/en-us/sql/relational-databases/regular-expressions/overview Regex re2 syntax (Github): https://github.com/google/re2/wiki/Syntax Re2 Regex library (GitHub): https://github.com/google/re2/ About MVPs: Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the "bleeding edge" and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others - that's what sets them apart. Learn more: https://aka.ms/mvpprogram 📌 Let's connect: Twitter: Anna Hoffman, https://twitter.com/AnalyticAnna Twitter: AzureSQL, https://aka.ms/azuresqltw 🔴 To watch other MVP Edition episodes, see our playlist: https://aka.ms/dataexposedmvps To check out even more Data Exposed episodes, see our playlist: https://aka.ms/dataexposedyt 🔔 Subscribe to our channels for even more SQL tips: Microsoft Azure SQL: https://aka.ms/msazuresqlyt Microsoft SQL Server: https://aka.ms/mssqlserveryt Microsoft Developer: https://aka.ms/microsoftdeveloperyt #AzureSQL #SQLServer

30. 3. 2026

GitHub Copilot Dev Days are around the world! Find an event near you or host one in your area! 📌 https://luma.com/githubcopilotdevdays #GitHubCoPilotDevDays #developercommunity

27. 3. 2026