Uploaded June 2026 | Updated September 2026, 2 weeks ago
Mark your calendars for the Livestream 3 for POSETTE: An Event for Postgres 2026, happening Tue Jun 17, 2026. This livestream has 11 unique talks presented by Postgres experts & users. POSETTE is a free and virtual developer event with 44 talks delivered across 4 livestreams—organized by the Postgres team at Microsoft, in partnership with AMD. Detailed schedule with speakers and abstract for Livestream 3: posetteconf.com/2026/schedule/#livestream3
► Video chapters:
⏩ 00:00 – Waiting Room music & intro
⏩ 14:58 – Welcome with hosts Divya Bhargov & Abe Omorogbe
⏩ 27:29 – Livestream 3 Trailer
⏩ 32:57 – The Wonderful World of WAL, by Bruce Momjian
⏩ 1:02:29 – Building Event-Driven Systems with PostgreSQL Logical Replication and Drasi, by Diaa Radwan
⏩ 1:31:47 – pgcov: Bringing Real Test Coverage to PostgreSQL Code, by Pavlo Golub
⏩ 1:58:13 – Livestream 4 Trailer
⏩ 2:05:34 – Quorum-Based Consistency for Cluster Changes with CloudNativePG Operator, by Jeremy Schneider & Leonardo Cecchi
⏩ 2:36:57 – From Queries to Agents: The Next Era of Data Retrieval on PostgreSQL, by Abe Omorogbe
⏩ 3:04:00 – PostgreSQL 17 vs 18: Side‑by‑Side Performance Wins in Real‑World Queries, by Divya Bhargov
⏩ 3:31:08 – Production RAG at Scale with Azure Database for PostgreSQL, by Julia Schröder Langhaeuser & Paula Santamaria
⏩ 3:57:51 – Livestream 1 Trailer
⏩ 4:04:00 – The Rise of PostgreSQL as the Everything Database, by Varun Dhawan
⏩ 4:31:19 – Postgres isn’t slow, your storage is, by Sai Srirampur
⏩ 5:00:38 – Why we built Azure HorizonDB for PostgreSQL, by Dingding Lu
⏩ 5:22:05 – Maintaining Large Tables in PostgreSQL, by Sarat Balijepalli
⏩ 5:54:16 – Livestream 2 Trailer
⏩ 5:58:47 – Livestream 3 Wrap-Up with Divya Bhargov & Abe Omorogbe
There’s more to discover about POSETTE: An Event for Postgres 2026. Here are some helpful resources:
🌐 Everything you need to know about POSETTE: An Event for Postgres 2026: posetteconf.com/2026
💬 The virtual hallway track during the Livestream will happen in the Microsoft Open Source Discord channel #posetteconf @ https://aka.ms/open-source-discord
📝 Take a look at the “Ultimate Guide to POSETTE (2026 edition)”
techcommunity.microsoft.com/blog/adforpostgresql/ultimate-guide-to-posette-an-event-for-postgres-2026-edition/4520246
You can also follow @PosetteConf on social media for even more updates:
LinkedIn: linkedin.com/company/posetteconf
X: https://x.com/PosetteConf
Mastodon: https://mastodon.social/@posetteconf
Bluesky: https://bsky.app/profile/posetteconf.com
Search for #PosetteConf
Come learn what you can do with PostgreSQL, the world’s most advanced open-source relational database—from the nerdy to the sublime.
#PosetteConf #PostgreSQL #database
[eventID:26855]
Mark your calendars for the Livestream 3 for POSETTE: An Event for Postgres 2026, happening Tue Jun 17, 2026. This livestream has 11 unique talks presented by Postgres experts & users. POSETTE is a free and virtual developer event with 44 talks delivered across 4 livestreams—organized by the Postgres team at Microsoft, in partnership with AMD. Detailed schedule with speakers and abstract for Livestream 3: posetteconf.com/2026/schedule/#livestream3
► Video chapters:
⏩ 00:00 – Waiting Room music & intro
⏩ 14:58 – Welcome with hosts Divya Bhargov & Abe Omorogbe
⏩ 27:29 – Livestream 3 Trailer
⏩ 32:57 – The Wonderful World of WAL, by Bruce Momjian
⏩ 1:02:29 – Building Event-Driven Systems with PostgreSQL Logical Replication and Drasi, by Diaa Radwan
⏩ 1:31:47 – pgcov: Bringing Real Test Coverage to PostgreSQL Code, by Pavlo Golub
⏩ 1:58:13 – Livestream 4 Trailer
⏩ 2:05:34 – Quorum-Based Consistency for Cluster Changes with CloudNativePG Operator, by Jeremy Schneider & Leonardo Cecchi
⏩ 2:36:57 – From Queries to Agents: The Next Era of Data Retrieval on PostgreSQL, by Abe Omorogbe
⏩ 3:04:00 – PostgreSQL 17 vs 18: Side‑by‑Side Performance Wins in Real‑World Queries, by Divya Bhargov
⏩ 3:31:08 – Production RAG at Scale with Azure Database for PostgreSQL, by Julia Schröder Langhaeuser & Paula Santamaria
⏩ 3:57:51 – Livestream 1 Trailer
⏩ 4:04:00 – The Rise of PostgreSQL as the Everything Database, by Varun Dhawan
⏩ 4:31:19 – Postgres isn’t slow, your storage is, by Sai Srirampur
⏩ 5:00:38 – Why we built Azure HorizonDB for PostgreSQL, by Dingding Lu
⏩ 5:22:05 – Maintaining Large Tables in PostgreSQL, by Sarat Balijepalli
⏩ 5:54:16 – Livestream 2 Trailer
⏩ 5:58:47 – Livestream 3 Wrap-Up with Divya Bhargov & Abe Omorogbe
There’s more to discover about POSETTE: An Event for Postgres 2026. Here are some helpful resources:
🌐 Everything you need to know about POSETTE: An Event for Postgres 2026: posetteconf.com/2026
💬 The virtual hallway track during the Livestream will happen in the Microsoft Open Source Discord channel #posetteconf @ https://aka.ms/open-source-discord
📝 Take a look at the “Ultimate Guide to POSETTE (2026 edition)”
techcommunity.microsoft.com/blog/adforpostgresql/ultimate-guide-to-posette-an-event-for-postgres-2026-edition/4520246
You can also follow @PosetteConf on social media for even more updates:
LinkedIn: linkedin.com/company/posetteconf
X: https://x.com/PosetteConf
Mastodon: https://mastodon.social/@posetteconf
Bluesky: https://bsky.app/profile/posetteconf.com
Search for #PosetteConf
Come learn what you can do with PostgreSQL, the world’s most advanced open-source relational database—from the nerdy to the sublime.
#PosetteConf #PostgreSQL #database
[eventID:26855]
![Build GitHub Skills: Custom Self-Paced Learning with the gh-skills-builder Plugin
Great developer training shouldnt require a team of curriculum engineers.
In this hands-on Microsoft Reactor series, youll learn to design, build, review, and publish your own **GitHub Skills-style exercises** — interactive, self-paced, issue-driven learning experiences that live right inside a GitHub repository — using the open-source **gh-skills-builder** GitHub Copilot plugin. Across the series well take a raw idea, workshop, or demo and turn it into a complete, validated learning journey.
Youll see how the plugins **custom agents** and **Agent Skills** collaborate to handle each stage of the exercise lifecycle, so you can focus on *what* you want learners to master instead of the plumbing behind it.
🔗 Learn more by exploring the resources: https://aka.ms/gh-skills-builder
#MicrosoftReactor #LearnConnectBuild #AgentSkills #GitHubCopilot
[eventID:27558] Build GitHub Skills: Custom Self-Paced Learning with the gh-skills-builder Plugin](https://i.ytimg.com/vi/AIPfnSEoZyg/mqdefault.jpg)

![Secure, Expose, and Manage Your APIs with Azure API Management
Modern applications are API-driven and managing those APIs is critical for scale, security, and governance.
In this episode, you’ll learn how to: - Publish and secure APIs across your applications - Apply policies for authentication, throttling, and governance - Manage internal and external API consumption - Create a unified API layer across ACA, AKS, and App Service
🔗 https://aka.ms/BCNA/API/appservice
📌 This event is a part of a series, learn more here: https://aka.ms/BCNA
[eventID:27397] Secure, Expose, and Manage Your APIs with Azure API Management](https://i.ytimg.com/vi/AaVHj9en30g/mqdefault.jpg)
![Fabric Data Agent como servidor MCP: expón tus datos empresariales a cualquier LLM
Esta sesión es el núcleo de la serie: aprenderás a convertir un Fabric Data Agent en un servidor MCP para que cualquier herramienta de IA externa — Claude, Copilot, agentes custom — pueda consultarlo sin integraciones personalizadas.
Crearemos un Data Agent sobre datos reales en Fabric, lo publicaremos como servidor MCP generando su URL y archivo mcp.json, y lo conectaremos desde VS Code.
Veremos cómo el agente recibe preguntas en lenguaje natural, las traduce a consultas sobre el lakehouse o warehouse y devuelve respuestas gobernadas. Cubriremos requisitos de capacidad (F2+), límites de compliance y configuración para respuestas consistentes.
Ten preparado un Fabric Data Agent básico con al menos una tabla conectada — en la sesión anterior damos las instrucciones.
Consumir el agente de datos de Fabric como un servidor del protocolo de contexto del modelo
https://learn.microsoft.com/fabric/data-science/data-agent-mcp-server/?wt.mc_id=youtube_27353_organicsocial_reactor
📌 Este evento es parte de una serie, aprende más aquí: https://aka.ms/AgentesFabric
0:00 Introducción y presentación del tema
4:37 ¿Qué es el *Fabric Data Agent*?
7:25 ¿Cómo funciona el *Fabric Data Agent*?
10:42 Arquitectura técnica del *Data Agent*
16:52 Importancia del modelo semántico y preparación de datos
22:25 Mejores prácticas para la implementación
28:28 Configuración de la capacidad paga (Requisitos)
31:51 Creación del *Data Agent* en el espacio de trabajo
35:46 Creación del *Lakehouse* y Notebooks
42:36 Documentación y enriquecimiento del modelo semántico
49:00 Preparación de datos para la IA (Copilot)
53:20 Configuración de respuestas verificadas
1:01:41 Conexión y publicación del agente (MCP)
1:06:57 Demo: Interacción con el agente mediante lenguaje natural
[eventID:27353] Fabric Data Agent como servidor MCP: expón tus datos empresariales a cualquier LLM](https://i.ytimg.com/vi/AeLxhYtQTX4/mqdefault.jpg)

![Automations, Agents & Backlogs: Inside the GitHub Copilot App
In this episode of New Breakpoint, Michelle Sandford sits down with Aaron Powell to explore the GitHub Copilot App - a new experience that brings agentic workflows directly into your day-to-day work on GitHub. Rather than focusing purely on code, the Copilot App introduces a shift toward task-driven collaboration, enabling developers and broader technical teams to manage pull requests, issues, and backlogs through intelligent, agent-powered workflows.
Together, Michelle and Aaron take a hands-on look at how the app enables:
- Automations: creating scheduled workflows like daily pull request summaries or issue triage, tailored to your team’s needs
- Agent-driven sessions: working across repositories with isolated contexts, allowing multiple streams of work to run in parallel
- Backlog visibility: helping product owners and managers stay across issues and progress without needing to dive into code
- Interactive collaboration: reviewing changes, adding inline feedback, and steering agents in real time
- Extensibility: using skills, plugins, and canvases to customise workflows, visualise data, and even build lightweight apps
The episode also explores how the Copilot App bridges the gap between developers and non-developers, making it easier for entire teams to participate in modern, AI-powered workflows - whether you’re writing code, managing a sprint, or tracking progress on the go. If you’re looking to understand how automations, agents, and real-world workflows come together inside GitHub, this is a great place to start.
Get started with the GitHub Copilot app: https://awesome-copilot.github.com/learning-hub/github-copilot-app/
Learn more about the series: https://aka.ms/NewBreakpoint/r
0:04 Welcome to New Breakpoint
0:28 Meet Aaron Powell and GitHub Copilot
2:07 Copilot SDK vs GitHub Copilot App
3:22 What Is the GitHub Copilot App?
5:19 First Look at the Copilot App Interface
7:13 Automations and Daily GitHub Summaries
9:30 Building Custom Automations
11:32 Copilot for Product Owners and Technical Teams
13:43 Sessions, Agents, and Workflow Management
17:06 Git Work Trees and Parallel Agent Workflows
19:30 Merge Conflicts and Multi-Agent Collaboration
21:18 Creating Sessions from Pull Requests
24:02 Code Reviews and Context-Aware Comments
28:10 Session Navigation and History Tracking
29:29 Opening Copilot Sessions in VS Code
32:27 Skills and Extensions in Copilot App
32:58 Introducing Copilot Canvas
34:21 Building Custom Canvas Experiences
35:28 Canvas Demo: Building a Snake Game
36:38 Integrating External Services and Azure DevOps
38:48 Awesome Copilot and the Learning Hub
41:05 Custom Notifications and Sound Effects
42:26 Documentation and Best Practices
44:58 How to Get the GitHub Copilot App
45:36 Mobile Access and Cloud Agents
47:05 Managing Agent Sessions from GitHub Mobile
47:42 Real-World Cloud Agent Workflow
49:41 Final Thoughts on Developer Productivity
50:07 Resources and Further Learning
50:46 Live Q&A Session
[eventID:27339] Automations, Agents & Backlogs: Inside the GitHub Copilot App](https://i.ytimg.com/vi/BLSTfoOsajs/mqdefault.jpg)


![OpenClawNet - Automatización + Azure + Foundry
En esta sesión prepararemos el agente para producción. Agregaremos programación de tareas como servicio de fondo, integraremos Azure OpenAI y Azure AI Foundry como proveedores de modelos en la nube, construiremos dashboards de monitoreo, y escribiremos tests unitarios que verifiquen todo el stack.
Al final tendremos una plataforma de agentes completa, testeada y lista para la nube con manejo de errores de nivel producción, múltiples proveedores de modelos AI, automatización programada, y dashboards de observabilidad. Despliégala en Azure Container Apps, App Service, o ejecútala on-premises con Ollama.
Tópicos y Tecnologías Clave:
- BackgroundService para tareas de larga duración
- Integración de Azure OpenAI y selección de modelos
- Azure AI Foundry (inferencia, despliegues, evaluación)
- Patrones de testing unitarios para agentes y herramientas
- Health checks y diagnósticos del sistema
- Job queuing y tracking de estado
- Configuración para despliegues multi-ambiente (local, staging, producción)
📌 Este evento es parte de una serie, aprende más aquí: https://aka.ms/NET10GHC/es/y
Capítulos:
0:00 Introducción y presentación de OpenClaw.net
1:27 ¿Qué es OpenClaw.net? Propósito del proyecto
2:47 Agenda: Aspire, Trazas, Skills y Secretos
4:00 Recorrido por el repositorio público
4:45 Flujo de trabajo con GitHub Copilot (PRs y Code Review)
7:41 Gestión de múltiples repositorios y sincronización (Privado vs Público)
11:42 Análisis de Pull Requests con Copilot
16:03 Uso de Canvases en GitHub Copilot
21:19 Aspire en Visual Studio Code: Dashboard y monitorización
24:43 Foundry Tool Kit para la gestión en la nube
29:07 Implementación de Secret Vault (Bóveda de secretos)
32:38 Depuración en vivo con Copilot y el navegador integrado
36:46 Demostración de pruebas con Playwright
41:30 Configuración de agentes de sistema y perfiles
42:37 Gestión de memoria y retrieval en agentes
45:04 Funcionamiento de las Skills y carga de archivos
48:17 Prueba práctica: Generación de contenido con Skills y búsqueda online
51:20 Ciclo de vida y borrado de Skills
53:18 Implementación de comandos en chat: El desafío de stop
56:30 Conclusiones y próximos pasos (Despliegue)
#microsoftreactor #learnconnectbuild
[eventID:26926] OpenClawNet - Automatización + Azure + Foundry](https://i.ytimg.com/vi/BY94TELQv7o/mqdefault.jpg)
![Agent Framework Office Hours - June 24, 2026
These 60-minute live office hours are where you can connect with the Agent Framework team to get your questions answered live.
Find our past episodes on demand at: https://aka.ms/MAFOfficeHoursRecordings
[eventID:24346] Agent Framework Office Hours - June 24, 2026](https://i.ytimg.com/vi/Bf-gBmt75i0/mqdefault.jpg)
![Fundamentos de DevOps en la Era de AI y Agentes
En esta sesión, desglosaremos por qué los fundamentos y herramientas sólidas de DevOps son aún más importantes a medida que los agentes de programación y operaciones impulsados por IA se convierten en parte de los flujos de trabajo cotidianos. Verás cómo los agentes de desarrollo de IA modernos, como GitHub Copilot Cloud Agent y los agentes de operaciones de IA como el agente de Azure SRE pueden acelerar drásticamente la entrega cuando tus pipelines, pruebas y entornos están diseñados para soportarlos. Nos centraremos en lo que los desarrolladores deben tener implementado para integrar de manera segura y efectiva estos agentes en flujos de trabajo de CI/CD del mundo real, sin sacrificar la calidad, confiabilidad o control.
#microsoftreactor #learnconnectbuild
[eventID:27332] Fundamentos de DevOps en la Era de AI y Agentes](https://i.ytimg.com/vi/BgAvSKL9XaA/mqdefault.jpg)