Deploying Python apps on Azure App Service

In this Azure Friday session, we walk through how to get started with Azure SRE Agent and demonstrate how agentic workflows can be applied to real operational scenarios—from help desk tickets to cost analysis and reporting and anything in between. The session starts with context engineering fundamentals, followed by a live demo that shows how memory, personalization, incident management and scheduled tasks come together to reduce operational toil. We wrap up by creating an SRE Agent from scratch and discussing consumption, limits, and best practices. Chapters 00:00 - Introduction 01:05 - Context engineering and getting started 02:04 - Start of demo 03:23 - Getting to know you and memory 06:21 - Handle a help desk ticket 10:05 - Scheduled task for cost management analysis and reporting 12:22 - Creating an SRE Agent 13:50 - Agentic unit consumption and limits 14:35 - Wrap up Recommended resources Integrated docs Learn Docs Azure Product Page Try it out now Lab for the demo GA Announcement Connect Scott Hanselman | Twitter/X: @SHanselman Shamir Abdul Aziz | LinkedIn: linkedin.com/in/meetshamir Azure SRE Agent | YouTube: youtube.com/@AzureSREAgent Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

In this episode, learn how to migrate on-premises Oracle Database workloads to Oracle AI Database@Azure, where Oracle database services run on Oracle Exadata infrastructure located inside Azure datacenters. Then see how, once your database is in place, you can modernize faster by connecting Oracle data to Microsoft Fabric for analytics and building AI experiences with Foundry, Copilot Studio—using familiar Azure tools. Chapters 00:00 - Introduction 00:58 - What is Oracle AI Database@Azure 05:33 - Azure Portal experience 11:30 - Microsoft integrations (Fabric, Foundry) 14:00 - Agentic experience 15:54 - Wrap up & close Recommended resources Learn Docs Azure Product Page Connect Scott Hanselman | Twitter/X: @SHanselman Oracle AI Database@Azure | LinkedIn: linkedin.com/groups/14707004 Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

This week on Azure Friday, Scott Hanselman talks with Jonathon Frost about AI-enhanced migration from Oracle to PostgreSQL using the VS Code PostgreSQL extension. See how developers can automate schema conversion, transform application code, and validate results using an intelligent, agent-driven workflow. Chapters 00:00 - Introduction 00:36 - Model Hyperparameter Tuning, Agent Orchestration, and Determinism 02:25 - Architectural Overview of AI-enhanced Schema Migration 04:28 - How it is Built on the VS Code Extension for PostgreSQL 04:56 - Self-correction of AI-enhanced Migration 05:59 - Migration Demo 06:33 - Connect to Oracle Database 07:23 - Connect to PostgreSQL Database 07:50 - Connect to Azure OpenAI Endpoint 08:45 - Run Migration 09:37 - Review Completed Migration Report 11:07 - Visualize Schema of PostgreSQL Database 12:17 - Side-by-side File Diff 13:30 - Where to get the Extension and Learn More Recommended resources Learn Docs VS Code Extension Marketplace Page Azure Product Page Blog Connect Scott Hanselman | Twitter/X: @SHanselman Jonathon Frost | LinkedIn: linkedin.com/in/jjfrost Azure Database for PostgreSQL | LinkedIn: linkedin.com/company/azure-database-for-postgresql Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Modernizing SQL Server for the cloud doesn’t have to be complex. In this episode, we break down what Azure SQL Managed Instance is and show how the upgraded Next‑gen General Purpose tier delivers faster performance, higher storage, and easier scaling using Azure’s latest storage technology. You’ll also see a quick Azure Portal demo with the new IOPS slider and in‑place performance scaling. Chapters 00:00 - Introduction 00:38 - Overview of Azure SQL & SQL Managed Instance 03:30 - Service tiers in Azure SQL Managed Instance 04:14 - Storage architecture upgrade (Elastic SAN, performance gains) 04:48 - Why Next‑gen General Purpose? Azure Portal demo 07:36 - In-place IOPS scaling demo 12:33 - Summary and wrap-up Recommended resources Learn Docs Azure Product page Connect Scott Hanselman | Twitter/X: @SHanselman Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

In this video, Scott and Andrew walk through how Managed Instance on Azure App Service is purpose built to help customers move and improve their applications to Azure without the need for code changes. The video explores how to remove common migration blockers, from file and registry access, and custom installers, to system commands. The video highlights how Managed Instance on App Service can accelerate migration, gain higher performance, efficient scaling and lower TCO. Chapters 00:00 - Introduction 00:20 - Challenges of maintaining and migrating older applications and why they are often stuck on premises or forced into VMs. 01:40 - How Managed Instance on Azure App Service solves the challenges of modernizing older applications to Azure 04:35 - Move and improve an existing application to Managed Instance on App Service and leverage the power and scale of Azure App Service. 06:50 - Deep dive into how Managed Instance on Azure App Service expands on capabilities of App Service Plans 11:51 - Using Azure Bastion to RDP into App Service Plan instances for troubleshooting using familiar tools 14:25 - Using installation scripts to configure settings, install dependencies, and enable additional system features and roles 18:20 - Summary and where to learn more Recommended resources Learn Docs Azure Product page Connect Scott Hanselman | Twitter/X: @SHanselman Andrew Westgarth | Twitter/X: @apwestgarth Azure App Service | Twitter/X: @AzAppService Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

In this video, Scott and Nir will go through the simplest way to get started with Python in the cloud. The video explores different deployment approaches and recent changes to the platform to be even simpler. Chapters 00:00 - Introduction by Scott 00:12 - Deploying to App Service with uv 08:12 - Container Terminal Access 09:47 - Summary and where to learn more Recommended resources Learn Docs Azure Product page Connect Scott Hanselman | Twitter/X: @SHanselman Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Get started with VS Code for the Web - Azure to seamlessly run, debug and deploy your applications with no setup! This browser-based VS Code environment allows you to work as you would locally, but wherever you are. Watch this video to see us create an enterprise-grade application, run it and deploy it to Azure within minutes! Chapters 00:30 - Introduction 02:26 - VS Code for the Web - Azure Overview 05:21 - AI Template Entry Point Scenario 06:00 - Microsoft Foundry Entry Point Scenario 08:42 - RAG Chat Application - Enterprise-level Application Scenario 13:52 - GitHub Copilot in /azure 16:25 - RAG Chat Application Deployed - Testing Scenario 18:10 - Go to vscode.dev/azure to try it out today! Recommended resources VS Code Docs Connect Scott Hanselman | Twitter/X: @SHanselman Meera Haridasa | LinkedIn: /in/meeraharidasa/ Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Would you like to take your search in SQL Server to the next level? In this episode, check out how to use vector search, securely built into SQL Server 2025. #sqlserver2025 #sqlai Chapters 00:00 - Introduction 01:10 - Evolution of SQL 02:44 - Intelligent searching with SQL and AI 06:16 - Model definition 08:55 - Generate embeddings 13:19 - Vector index 15:25 - Vector Search 17:50 - Azure OpenAI 19:36 - Wrap up Recommended resources Announcement Sign-up Learn Docs Product page Connect Scott Hanselman | Twitter/X: @SHanselman Bob Ward | Twitter/X: @bobwardms Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Elijah Straight, PM for Microsoft Agent Framework, walks through how to build a multi-agent workflow to automate work using the framework's graph-based orchestration capabilities. Microsoft Agent Framework is a multi-language SDK for Python and .NET that enables building, orchestrating, and deploying AI agents with support for streaming, checkpointing, and human-in-the-loop capabilities. Chapters 00:00 - Introduction 01:35 - Visualization of demo 04:11 - PowerPoint to be synthesized 05:03 - Start of demo 10:27 - GitHub 11:47 - Wrap up Recommended resources Learn Docs GitHub Connect Scott Hanselman | @SHanselman: https://x.com/SHanselman Elijah Straight | @elijahbuilds: https://x.com/elijahbuilds Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Elijah Straight, PM for Microsoft Agent Framework, walks through how to build a multi-agent workflow to automate work using the framework's graph-based orchestration capabilities. Microsoft Agent Framework is a multi-language SDK for Python and .NET that enables building, orchestrating, and deploying AI agents with support for streaming, checkpointing, and human-in-the-loop capabilities. Chapters 00:00 - Introduction 01:35 - Visualization of demo 04:11 - PowerPoint to be synthesized 05:03 - Start of demo 10:27 - GitHub 11:47 - Wrap up Recommended resources Learn Docs GitHub Connect Scott Hanselman | @SHanselman: https://x.com/SHanselman Elijah Straight | @elijahbuilds: https://x.com/elijahbuilds Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure