Uploaded June 2026 | Updated September 2026, 2 weeks ago
In this session, we’ll break down why solid DevOps fundamentals and tooling matter even more as AI-powered coding and operations agents become part of everyday workflows. You’ll see how modern AI dev agents—like GitHub Copilot generating code and tests—and AI ops agents—such as Azure’s SRE reliability agent—can dramatically speed up delivery when your pipelines, testing, and environments are built to support them. We’ll focus on what developers need to have in place to safely and effectively integrate these agents into real-world CI/CD workflows, without sacrificing quality, reliability, or control.
🔗 DevOps Engineer Spotlight Collection: microsoft.com/en-us/thesource-developer/Category/Group/86/devops-engineer-spotlight-collection/?wt.mc_id=youtube_27135_organicsocial_reactor
🔗 TheSource Developer Ehub: microsoft.com/en-us/thesource-developer/?wt.mc_id=youtube_27135_organicsocial_reactor
Chapter markers:
0:00 Introduction to the Agentic DevOps Era
0:34 Evolution of AI in Development
2:14 DevOps Foundations in the AI Era
3:34 Infusing AI Across the SDLC
6:11 Demo: Agentic DevOps in Practice
7:27 Project Structure & Tech Stack Overview
10:16 App Demonstration (Gift Exchange Features)
14:14 Using Agents for New Feature Development
15:34 CI/CD Workflow & Automated Testing
17:17 Platform Engineering: Environments per PR
19:00 Load Testing & Production Infrastructure
23:02 Human-in-the-loop Validation
24:02 Reviewing AI-Generated Pull Requests
27:45 Custom Agent Definitions
28:49 Integrating Accessibility Validation
30:33 Security & Quality (CodeQL & Dependabot)
33:04 Secret Scanning & Security Configuration
36:33 Environment Rules & Branch Protection
38:20 Summary & Next Steps
[eventID:27135]
In this session, we’ll break down why solid DevOps fundamentals and tooling matter even more as AI-powered coding and operations agents become part of everyday workflows. You’ll see how modern AI dev agents—like GitHub Copilot generating code and tests—and AI ops agents—such as Azure’s SRE reliability agent—can dramatically speed up delivery when your pipelines, testing, and environments are built to support them. We’ll focus on what developers need to have in place to safely and effectively integrate these agents into real-world CI/CD workflows, without sacrificing quality, reliability, or control.
🔗 DevOps Engineer Spotlight Collection: microsoft.com/en-us/thesource-developer/Category/Group/86/devops-engineer-spotlight-collection/?wt.mc_id=youtube_27135_organicsocial_reactor
🔗 TheSource Developer Ehub: microsoft.com/en-us/thesource-developer/?wt.mc_id=youtube_27135_organicsocial_reactor
Chapter markers:
0:00 Introduction to the Agentic DevOps Era
0:34 Evolution of AI in Development
2:14 DevOps Foundations in the AI Era
3:34 Infusing AI Across the SDLC
6:11 Demo: Agentic DevOps in Practice
7:27 Project Structure & Tech Stack Overview
10:16 App Demonstration (Gift Exchange Features)
14:14 Using Agents for New Feature Development
15:34 CI/CD Workflow & Automated Testing
17:17 Platform Engineering: Environments per PR
19:00 Load Testing & Production Infrastructure
23:02 Human-in-the-loop Validation
24:02 Reviewing AI-Generated Pull Requests
27:45 Custom Agent Definitions
28:49 Integrating Accessibility Validation
30:33 Security & Quality (CodeQL & Dependabot)
33:04 Secret Scanning & Security Configuration
36:33 Environment Rules & Branch Protection
38:20 Summary & Next Steps
[eventID:27135]
![Governance at Scale: Enforcing Network Security Baselines with Azure Policy & Landing Zones
This session makes the case for guardrails, not gates: governance thats built into the platform itself rather than bolted on afterward.
Well start with Azure Policy fundamentals, including policy definitions, initiatives, and effects (Deny, Audit, DeployIfNotExists, Modify), and explore how each effect type is appropriate for different governance scenarios.
From there, we move into practical network security baselines, covering policies that:
- Deny public IP creation on VMs
- Enforce mandatory NSG association on subnets
- Require specific Azure Firewall routing
- Mandate encryption in transit
The session then zooms out to the Cloud Adoption Framework Landing Zone model, showing how these individual policies are assembled into a coherent governance architecture and applied automatically at subscription vending time. This ensures every new subscription inherits the right guardrails from day one, rather than having security retrofitted later.
Well also cover:
- Management group hierarchy design
- Policy assignment scope
- Handling policy exemptions for legitimate edge cases without undermining the overall baseline
[eventID:27526] Governance at Scale: Enforcing Network Security Baselines with Azure Policy & Landing Zones](https://i.ytimg.com/vi/rpK3ryHcT5I/mqdefault.jpg)
![Let the Agent Write It—But Can It Scale?
Part of the Modern AI Apps with Azure Cosmos DB Series.
AI coding agents can generate working code quickly, but working code isnt always production-ready code. This session focuses on reviewing agent-generated Azure Cosmos DB code for scalability, RU efficiency, indexing strategy, and long-term maintainability.
Presenters:
Sajeetharan Sinnathurai - Azure Cosmos DB Principal Program Manager - https://www.linkedin.com/in/sajeetharan/
Jay Gordon - Azure Cosmos DB Senior Program Manager https://www.linkedin.com/in/jaygordon0042/
• Start with the Agent Kit — Give your coding agent the context it needs to build Cosmos DB apps the right way - https://aka.ms/CosmosDB-agentkit
• Subscribe to Azure Cosmos DB on YouTube - https://youtube.com/AzureCosmosDB
• Follow Azure Cosmos DB on X - https://twitter.com/AzureCosmosDB
• Follow Azure Cosmos DB on LinkedIn - https://www.linkedin.com/company/azure-cosmos-db/
02:52 Welcome & Session Introduction
03:17 Modern AI Apps with Azure Cosmos DB Series Overview
04:10 Repo Walkthrough & Demo Setup
05:30 Why Scaling Decisions Matter Early
06:10 Cosmos DB Scaling Fundamentals: Data Modeling, Partition Keys, RU Efficiency & Indexing
08:24 Creating Cosmos DB with AI Prompts and Entra Authentication
09:32 Seeding the Database with Sample Data
10:00 Building the Ticketing API with GitHub Copilot Agent
10:52 Choosing the Right AI Model and Understanding Costs
12:35 Understanding Application Queries and Access Patterns
15:44 Using OpenAPI for Load Testing Discovery
16:18 Examining Query Patterns and Identifying Performance Issues
17:25 Introducing Azure Cosmos DB Shell
19:47 Exploring Data with the VS Code Cosmos DB Extension
24:26 Generating Natural Language Queries Against Cosmos DB
26:00 Launching the Application and Generating Load
27:27 Using LoadGen to Stress Test the API
30:29 Measuring RU Consumption and Performance
32:09 The Four-Lens Performance Analysis Framework
35:19 Introducing Azure Cosmos DB Agent Kit
36:10 Installing Agent Kit in VS Code
37:59 Lens #1: Evaluating Data Modeling and Partition Key Design
40:14 Lens #2: Why Are These Queries So Expensive?
42:07 Lens #3: Indexing Policy Optimization
45:26 Lens #4: SDK Best Practices and Production Readiness
47:02 Letting Agent Kit Fix the Application
48:43 Baseline Performance Test (Before Optimization)
50:43 Running the Optimized Application (After Agent Kit)
53:13 RU Savings and Performance Improvements
54:03 Key Takeaways: Partition Keys, RU Costs, Indexing & SDK Design
54:42 Azure Cosmos DB Agent Kit Resources
55:25 Final Thoughts on Cosmos DB Shell and Developer Tools
56:20 Next Episode Preview: Building APIs Faster with Agentic Development
57:36 Agent Kit Roadmap, Open Source Contributions & Multi-Agent Support
58:19 Closing Remarks
#azurecosmosdb #aicoding
[eventID:27409] Let the Agent Write It—But Can It Scale?](https://i.ytimg.com/vi/rtbuubPm6r0/mqdefault.jpg)
![Composing Knowledge Bases That Reason Over Work, Business, and the Web
Learn how to design knowledge bases that span multiple domains. This session focuses on retrieval strategies that bring together work data, structured business context, and real-time web signals.
We’ll explore how to orchestrate these sources so agents can reason across them effectively, rather than treating each in isolation.
🔗 Resources: https://aka.ms/iq-series
📌 This event is a part of a series, learn more here: https://aka.ms/microsoftiqlive
#MSFTReactor #learnconnectbuild #foundryiq #serverless #knowledgebases #agentdevelopment #retrieval #datagrounding #azureaifoundry #enterpriseknowledge
[eventID:27452] Composing Knowledge Bases That Reason Over Work, Business, and the Web](https://i.ytimg.com/vi/rvDTN3GGnm8/mqdefault.jpg)
![Governing IQ-Powered Agents in Production with Agent 365
Learn how to operate and govern IQ-powered agents in production with Agent 365. In this session, well explore the challenges that arise as agents move beyond development and into real-world use, including visibility, policy enforcement, and lifecycle management.
Youll learn how Agent 365 works alongside the Microsoft IQ stack to help organizations monitor, manage, and govern agents at scale while maintaining trust, security, and operational control.
🔗 Resources: https://aka.ms/iq-series
📌 This event is a part of a series, learn more here: https://aka.ms/microsoftiqlive
#MSFTReactor #learnconnectbuild #foundryiq #serverless #knowledgebases #agentdevelopment #retrieval #datagrounding #azureaifoundry #enterpriseknowledge
[eventID:27457] Governing IQ-Powered Agents in Production with Agent 365](https://i.ytimg.com/vi/scnmeCNCk-0/mqdefault.jpg)
![AI で構築する: エージェント型ワークフローを構築するための GitHub Copilot SDK
セッション紹介
AI はコーディングを支援するだけではありません。複雑なタスクの自動化や、インテリジェントなワークフローのオーケストレーションにも活用できます。
このセッションでは、GitHub Copilot SDK を使用して、実際のエージェント駆動型ワークフローを構築する方法を学びます。
ハンズオン形式のデモを通じて、AI がツール、コンテキスト、複数ステップの実行を連携させながら、課題管理からコードの反復改善まで、日常的な開発タスクをどのように自動化できるかをご紹介します。
コードを書く段階を超え、インテリジェントでタスク主導のワークフローを設計する方法を学びましょう。
学習内容
- GitHub Copilot SDK を使用してエージェント型ワークフローを構築する方法
- エージェントが複数ステップのタスクを計画、推論、実行する方法
- エージェントをツール、サービス、外部システムと接続する方法
- 日常的な開発プロセスを自動化するインテリジェントなワークフローを設計する方法
使用するテクノロジー
- GitHub Copilot SDK
- エージェントランタイム(計画と複数ステップ実行)
- Model Context Protocol(MCP)
- ツール呼び出しとシステム統合
- ワークフローオーケストレーション
対象者
- エージェント駆動型ソリューションの構築に関心のある開発者
- GitHub Copilot SDK の機能を検討しているエンジニア
- インテリジェントなワークフローを構築するプラットフォームおよびツール開発者
- AI 支援コーディングからワークフロー自動化へステップアップしたい方
登壇者
更新予定
[eventID:27491] AI で構築する: エージェント型ワークフローを構築するための GitHub Copilot SDK](https://i.ytimg.com/vi/sd5AODNv9NU/mqdefault.jpg)
![Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (APAC)
This session is all about the “build it” portion of DP-800: how to design and develop database solutions that stand up in real workloads and match what the exam expects. We’ll walk through the core developer skills, from choosing the right objects and patterns to writing strong, maintainable SQL.
📍This session is a part of a series. Learn more here: https://aka.ms/datadays/SQLAI
#MSFTReactor #learnconnectbuild #DataDays #GetCertified
[eventID:27368] Get Certified SQL+AI (DP-800): Design and Develop SQL Solutions Like a Pro (APAC)](https://i.ytimg.com/vi/sm8a32c2Xzg/mqdefault.jpg)
![Get Certified SQL+AI (DP-800): Leve IA para o SQL com Embeddings, Busca e RAG
Esta é a sessão que todos querem assistir: como o DP-800 conecta padrões modernos de IA diretamente às suas soluções SQL.
Vamos explicar o que o exame espera sobre embeddings, vetores, busca inteligente e retrieval argumented generation (RAG) traduzindo tudo em conceitos práticos e aplicáveis.
🔗Recursos e material de estudos: https://aka.ms/dp800/prepare
🔗Inscreva-se no Data Days: https://aka.ms/datadays
🔗Voucher gratuito! Solicite aqui: https://aka.ms/dd/cert
0:00 - Introdução e Boas-vindas
2:10 - Apresentação dos Palestrantes
3:27 - Avisos, Comunidade e Certificação DP-800
5:43 - Roteiro da sessão: Modelos, Embeddings e RAG
9:06 - Fundamentos: Modelos e Embeddings no SQL Server
13:38 - Estratégias de Chunking e Armazenamento
22:00 - Manutenção e Atualização de Embeddings
25:47 - Busca Inteligente (Full-text vs. Vetorial)
38:39 - Busca Híbrida e RRF (Reciprocal Rank Fusion)
47:33 - Quando não usar IA (Otimização SQL tradicional)
50:04 - RAG (Retrieval Augmented Generation) com SQL
55:19 - Demonstração Prática (SQL Server Management Studio)
1:02:51 - Recursos de Estudo e Encerramento
#microsoftreactor #learnconnectbuild #datadays
[eventID:27380] Get Certified SQL+AI (DP-800): Leve IA para o SQL com Embeddings, Busca e RAG](https://i.ytimg.com/vi/sp83U9cOtso/mqdefault.jpg)

[eventID:27509] Agents That Take Action: Secure Enterprise Integration with Azure](https://i.ytimg.com/vi/szoMFv-nOtU/mqdefault.jpg)
![Fabric Local MCP en acción: conecta tu primer agente a Fabric
Manos a la obra.
En esta sesión instalaremos y configuraremos el Fabric Local MCP Server (GA, open-source) y lo conectaremos a un cliente de IA real: VS Code con GitHub Copilot y Claude Desktop.
Exploraremos las tres categorías de herramientas que expone: documentación de APIs de Fabric, operaciones sobre OneLake y creación de ítems core.
Verás en vivo cómo un agente consulta los esquemas de un Lakehouse, sube archivos a OneLake y genera código fundamentado en las especificaciones reales de Fabric, todo desde lenguaje natural. Al final tendrás tu entorno configurado y listo para las sesiones siguientes.
Clona el repositorio microsoft/mcp antes de la sesión: https://learn.microsoft.com/rest/api/fabric/articles/mcp-servers/pro-dev-local/overview-local-mcp-server/?wt.mc_id=youtube_27349_organicsocial_reactor
📌 Este evento es parte de una serie, aprende más aquí: https://aka.ms/AgentesFabric
0:08 - Bienvenida e introducción a la sesión.
7:18 - Introducción al tema: ¿Qué es Fabric Local MCP?
9:47 - ¿Qué es MCP? Explicación del protocolo.
10:57 - ¿Qué es Fabric MCP y sus capacidades?
14:20 - Operaciones CRUD y limitaciones del MCP local. 1
7:36 - Comparativa: MCP local vs. MCP remoto.
26:51 - Operaciones prácticas: Workspaces, OneLake y Notebooks.
32:14 - Guía de instalación recomendada.
39:21 - Configuración del archivo `config.toml`.
41:43 - Instalación de la extensión en Visual Studio Code.
48:47 - Validaciones de permisos y seguridad en el uso de MCP.
52:41 - Demo: Listado de Workspaces y creación de Lakehouse.
1:00:27 - Demo: Creación de carpetas y carga de archivos CSV a OneLake.
1:06:15 - Gestión de operaciones destructivas y aprobación de acciones.
1:07:56 - Cierre de la sesión y conclusiones.
[eventID:27349] Fabric Local MCP en acción: conecta tu primer agente a Fabric](https://i.ytimg.com/vi/t4b4vGXgaX4/mqdefault.jpg)
![Power BI Dataviz World Championships: Comienza tu camino a Barcelona
¡Los Power BI Dataviz World Championships están de vuelta! Y si estás dudando si participar, piensa en esto: la última vez, uno de los finalistas casi no envía su proyecto y terminó llegando hasta la final en vivo.
Entonces… ¿por qué no tú?
Esta es tu oportunidad para crear algo brillante, aprender de la comunidad y mostrarle al mundo de lo que eres capaz. Trae tus mejores ideas, lleva tu creatividad más lejos y construye una visualización en Power BI que realmente destaque. Los mejores no solo se llevarán el reconocimiento, también asegurarán su lugar en la final en vivo en FabCon / SQLCon Barcelona este septiembre.
En esta sesión, veremos cómo funciona la competencia, qué hace que una propuesta sea sólida y cómo participar. También recibirás orientación práctica sobre diseño centrado en el usuario, storytelling y visualización de datos, para que puedas seguir desarrollando tus habilidades, ya sea que quieras competir o simplemente crecer.
🚀 Esta sesión forma parte de una serie. Descubre más: https://aka.ms/DataDaysSP/y
Capítulos:
0:00 Introducción y bienvenida
3:38 Lanzamiento del Campeonato Mundial de Visualización de Datos
4:09 Presentación de los ponentes: Lucrecia y Walter
6:45 ¿Qué es el Campeonato Mundial de Power BI?
8:05 Detalles del campeonato y la gran final en Barcelona
9:13 Los 60 días de Data: oportunidades y comunidad
9:56 Becas para certificaciones (DP-800, DP-600, DP-700)
16:47 Importancia del concurso y beneficios de participar
21:26 Reglas y cómo participar en el desafío
23:00 Análisis del dataset para la primera ronda
26:07 Tips de diseño, storytelling y accesibilidad
27:54 Preguntas frecuentes sobre el uso de DAX y herramientas
37:43 Cómo enviar tu proyecto en la galería de la comunidad
39:16 Consejos de diseño: Estructura, usuario final y padding
44:47 Diseño para la accesibilidad y el texto alternativo
52:43 Resumen de las fechas del campeonato
54:07 Recursos adicionales: Dashboard in a Day
59:00 Cierre y próximos pasos
[eventID:27285] Power BI Dataviz World Championships: Comienza tu camino a Barcelona](https://i.ytimg.com/vi/t65--Xx9_W8/mqdefault.jpg)
![Get Certified: (PL-300) Power BI Data Analyst (US/EMEA)
Getting started with PL-300? Whether you are new to Power BI or looking to formalize your experience, this session will help you understand the path ahead and what to focus on first.
We will walk through the core areas of the Power BI Data Analyst certification exam by following the journey your data takes, from preparing and modeling your data to building reports and delivering insights through effective visualizations. You will see how each step builds on the next and how it all comes together to tell clear, compelling data stories.
We will also share practical tips for building your skills, approaching the exam, and gaining hands-on experience along the way. If you want to go deeper, we will point you to on-demand sessions for each topic so you can continue learning at your own pace.
🔗 Resources to prepare: https://aka.ms/pl300/prepare
🔗 Register for Data Days: https://aka.ms/datadays
📍 This session is a part of a series. Learn more here: https://aka.ms/datadayslive/cert-y
Chapters:
0:00 Introduction
2:20 Introduction to Speakers
4:00 Data Days & Community Initiatives
12:12 Moderator Introductions
13:22 PL-300 Certification Overview
16:19 Power BI Data Analyst Role Responsibilities
17:47 Exam Weighting and Areas
19:22 Power BI in the Microsoft Fabric Ecosystem
20:54 Preparing Data
24:16 Modeling Data (Semantic Models)
27:14 DAX and Calculation Context
29:27 Building Reports and Visualizations
33:45 Managing and Securing Power BI
38:45 Exam Preparation Tips & Common Mistakes
43:35 Q&A: Decision Frameworks (Power Query vs. DAX)
45:07 Q&A: Role of DAX Studio
46:05 Q&A: AI & Co-pilot Evolution
51:00 Q&A: Bookmarks and Mobile Editing
53:18 Q&A: Paginated vs. Interactive Reports
54:14 Q&A: Practice Exams
55:10 Q&A: Future of Data Analysts
58:33 Q&A: Object-Level Security
1:00:15 Q&A: Will AI replace Power BI?
#MSFTReactor #learnconnectbuild #DataDays #GetCertified
[eventID:27210] Get Certified: (PL-300) Power BI Data Analyst (US/EMEA)](https://i.ytimg.com/vi/tDwNtxAB49k/mqdefault.jpg)