Browse Azure Videos (163)
Microsoft Developer walks through what’s new in Data API builder (DAB) 2.0, focusing on how it sits between an app and a database to expose APIs without writing custom CRUD endpoints. The overview highlights new secrets management, broader authentication options, improved authorization controls, and integration points.
Davide Mauri shares a practical first tip for developers who are new to Microsoft Azure and want to start building a full-stack AI application while keeping costs under control, pointing viewers toward Azure’s Budget Bytes guidance and related Azure services.
John Savill runs through a weekly set of Azure platform updates, covering new capabilities across OpenShift, storage, Event Hubs, Log Analytics, Chaos Studio, and identity. He also calls out security-related changes (WAF exceptions, Network Security Perimeter, Entra backup/restore) and an OpenAI/GPT update.
Microsoft Developer recaps the 2026 updates shipped across SQL Server, Azure SQL, and SQL database in Fabric, highlighting security, tooling, and developer workflow changes announced around SQLCon/FabCon and Microsoft Build 2026.
John Savill explains the Azure Health Model, why “resource health” is hard in cloud environments, and how to reason about service and dependency health. The video includes a walkthrough-style demo and closes with practical takeaways for understanding and communicating Azure service health.
John Savill recaps the major Microsoft AI updates from June 2026, spanning new model availability on Azure, Azure AI Foundry capabilities (agents, evaluations, tracing, memory), and GitHub Copilot updates including a desktop app and an SDK.
John Savill shares a short weekly roundup of Azure changes and announcements from 3rd July 2026, including VM restore point improvements, new blob integrity capabilities, storage migration updates, PostgreSQL tooling, Azure AI Foundry news (including Claude models), GitHub Copilot model updates, and quantum-safe security items.
Microsoft Developer walks through setting up Azure DevOps Pipelines for SQL projects created from SSMS Database DevOps or the VS Code SQL database projects extension, including build, code analysis, and iterative deployments to Azure SQL Database with security basics like firewall rules and passwordless auth.
Arvind Shyamsundar explains how to keep costs down without sacrificing performance by using Azure SQL features that help applications scale efficiently as they grow.
Divakar Kumar introduces Archaios, an AI-powered exploration platform for archaeologists that processes large LiDAR datasets and related geospatial signals. He shows how .NET and Azure Durable Functions can orchestrate event-driven pipelines, and how Semantic Kernel-based multi-agent workflows can simulate expert collaboration to help identify potential historical sites.
Anthony Nocentino and Anna Hoffman show how to give GitHub Copilot controlled, real-time visibility into SQL Server using MCP (Model Context Protocol) servers. They demo a custom DMV-based MCP server for DBA workflows and a zero-code Data API Builder approach for app data access, with guardrails and permissions defined by you.
Authorised Territory demonstrates how to expose a .NET Azure Function as an MCP tool, using Visual Studio 2026 to create an Azure Functions project with an McpToolTrigger and then validating the tool with MCP Inspector.
John Savill shares a quick Azure update for June 26, 2026, covering several platform changes including upcoming retirements and new capabilities across networking, VMware on Azure, and Azure NetApp Files.
Microsoft Developer shares an episode of Data Exposed on common blockers that slow down enterprise SQL Server modernization, with practical guidance for migrating to Azure SQL and avoiding costly post-migration operational issues.
Priyanka Vergadia hosts David Sanchez to demo “agentic DevOps” using GitHub and Azure, showing how AI and GitHub Copilot can support planning, coding, reviews, CI/CD, testing, security checks, and monitoring across an end-to-end delivery pipeline.
Aditya Badmaraju explains which Azure service he relied on most when building AI apps, focusing on why Azure SQL can be a central component for operational data, vector search, and building grounded AI experiences.
Aditya Badmaraju explains why Azure SQL is a core dependency when building AI applications on Azure, highlighting its role in operational data storage and enabling vector search scenarios that support grounded AI experiences.
Justin Garrett interviews Microsoft MVP Andrew Pruski about building “Burrito Bot,” a semantic search demo that uses SQL Server 2025 vector search to recommend restaurants based on meaning rather than keywords, covering embeddings, similarity scoring, and scaling with vector indexes and ANN techniques.
John Savill runs through the weekly Azure update for 19th June 2026, covering a VS Code Azure Functions project-creation refresh, Azure Migrate’s GitHub Copilot integration, networking and storage feature updates, Azure Databricks integration with OneLake, and new Log Analytics summary rules.
Nitin Jadhav demonstrates how pg_duckdb brings DuckDB-style analytical performance into Azure Database for PostgreSQL, including running faster OLAP queries on existing Postgres tables and querying Parquet files from object storage without loading them into Postgres first.
Chun Lin Goh explains why burstable cloud instances can cause non-linear PostgreSQL slowdowns when CPU credits run out, and shows how to model the saturation point with a lightweight discrete-event simulation approach so you can right-size instances and connection pools before production timeouts hit.
Muhammad Usama explains how Citus distributes data across a Postgres cluster and why scaling events can be slow due to safe rebalancing constraints. He then walks through concrete improvements—more parallel shard moves and snapshot-based node addition—to reduce data movement and speed up scale-out/scale-in operations.
Microsoft Developer shares a 5-minute trailer previewing Livestream 4 of POSETTE 2026, highlighting 11 PostgreSQL talks including partitioning, SQL/PGQ property graphs, performance work, analytics with pg_duckdb on Azure Database for PostgreSQL, replication and logical decoding, security practices, PostgreSQL 18 vacuum improvements, Citus scaling, and LISTEN/NOTIFY pitfalls.
Paula Santamaría and Julia Schröder Langhaeuser present a production Retrieval-Augmented Generation (RAG) architecture built on Azure Database for PostgreSQL, explaining why Postgres can be a solid foundation for RAG at scale and what it takes to move from prototype to production with performance tuning and monitoring.
Dingding Lu explains why Microsoft built Azure HorizonDB for PostgreSQL and how its shared-storage design targets predictable performance, fast failover, and scalable reads for modern Postgres workloads running on Azure.
Abe Omorogbe explains how PostgreSQL is evolving into a backbone for production AI agent workflows, focusing on reliable and safe data retrieval. He covers MCP-based agent patterns, common failure modes when agents generate SQL, and emerging approaches like context correction and blended retrieval across relational, vector, and graph techniques.
Varun Dhawan explains why PostgreSQL is increasingly used as an “everything database” and how its extensibility lets teams consolidate workloads like OLTP, analytics, and vector search. He also connects these capabilities to Azure Database for PostgreSQL and scaling patterns such as Citus.
Sarat Balijepalli explains the operational and performance problems that show up when PostgreSQL tables grow large, with specific notes for Azure Database for PostgreSQL. He covers autovacuum falling behind, bloat, planner misestimation, WAL growth, lock contention, and practical tuning and architectural options to keep systems stable at scale.
Amar Digamber Patil explains what viewers will learn from the Budget Bytes series, focusing on building AI-powered applications on Azure SQL and how to evolve from simple setups to more scalable architectures while keeping costs within a $25 budget.
Amar Digamber Patil introduces the Budget Bytes series and explains what viewers will learn about building AI-powered apps with Azure SQL, covering approaches that start simple and scale up while staying within a $25 budget.
Microsoft Developer previews Livestream 3 of POSETTE 2026 with short introductions to 11 PostgreSQL talks, including WAL, logical replication, testing and coverage, consistency in clusters, performance tuning, and a session on production RAG at scale using Azure Database for PostgreSQL.
John Savill walks through recent identity and authentication changes for Azure Files, focusing on Microsoft Entra ID–integrated authentication scenarios including managed identity access, cloud-only identity access, and macOS Platform SSO (PSSO) access.
Adithya Kumaranchath shares field-tested strategies for migrating multi-terabyte Oracle databases to Azure Database for PostgreSQL Flexible Server with minimal downtime, covering planning, tuning, and common pitfalls that show up at very large scale.
Murat Tuncer walks through how PostgreSQL authentication evolved from early trust-based local setups to modern certificate and token-based approaches, explaining why each method exists, what trade-offs it made, and the common mistakes teams still run into when choosing auth for production deployments.
Microsoft Developer shares a short trailer previewing Livestream 2 of POSETTE 2026, highlighting 11 PostgreSQL talks including a session on migrating very large databases from Oracle to Azure Database for PostgreSQL, plus upcoming Postgres features, performance internals, authentication changes, and operational patterns like queueing and connection pooling.
Affan Dar and Charles Feddersen share how Microsoft is investing in PostgreSQL upstream and how that work feeds into Azure Database for PostgreSQL, including scaling features, HorizonDB, developer tooling, and a look at building AI pipelines inside Postgres.
Matt McFarland explains how PostgreSQL developer tooling is being extended from the VS Code PostgreSQL extension into AI-driven environments like Cursor and the GitHub Copilot CLI, using an MCP server as a shared interface for connections, queries, schema inspection, and performance analysis.
Andrew Ruffin explains how to choose Azure infrastructure for PostgreSQL workloads, focusing on VM family selection, benchmarking results, and cost/performance trade-offs. The talk compares IaaS vs PaaS deployment choices and highlights hardware features and security options that can improve Postgres performance while controlling cloud spend.
dotnet explains patterns for modernizing data and migrating line-of-business applications incrementally, focusing on moving the database first and evolving the app through stable API layers and modern data access approaches.
dotnet introduces the Modernize CLI and how it’s used to modernize and migrate .NET applications to Azure, focusing on practical workflow steps for moving existing apps toward cloud-ready deployment targets.