Browse All Azure Content (764)

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.

Taesoo Kim explains how Microsoft’s MDASH agentic scanning system moved from a benchmark win into real engineering workflows, feeding validated findings into Microsoft Defender, GitHub Advanced Security, and Azure DevOps. The post breaks down recent CVEs found across Windows and identity components, plus what pipeline changes improved results and what still fails.

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.

malaikanazim announces that Azure StandardV2 NAT Gateway now supports outbound ping using ICMP Echo Request/Reply, enabling basic reachability checks and faster troubleshooting for workloads that egress through NAT Gateway without needing per-VM public IPs or extra configuration.

yairgil explains how the Azure Copilot Observability Agent in Azure Monitor helps teams investigate AKS incidents by correlating metrics, logs, traces, Kubernetes events, and change history into an evidence-backed root-cause narrative with recommended next steps.

jiang_jenny1 introduces the Fabric Spark Operations Skill (preview), an AI-assisted, read-only troubleshooting tool for Spark workloads in Microsoft Fabric. It turns common investigations—failed notebooks, pipeline failures, session triage, and performance issues—into natural-language commands that produce a severity-ranked diagnostic report with fix recommendations and links back to Fabric.

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.

Karl-WE breaks down June 2026 changes to Azure Local licensing and the Azure Local Solutions hardware ecosystem, including new host fee tiers (S2D, external storage/SAN, and disconnected operations) and the shift from a 3-tier to 2-tier hardware catalog model. The post also clarifies key acronyms and support implications for existing 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.

Efrat Ben Porat announces the general availability of dynamic thresholds for Azure Monitor log search alerts, which use machine learning to learn normal behavior from historical query results and automatically adapt alert thresholds over time. The post includes practical examples for AKS pod restart spikes and Azure Resource Graph inventory drift detection.

Efrat Ben Porat announces the general availability of Simple log alerts in Azure Monitor, a new alert type that evaluates each matching log row individually and supports Basic Logs—making it easier to keep lower-cost telemetry plans while still alerting quickly on important events.

Griffin Norris demonstrates how AI agents and Microsoft Copilot can speed up robotics development by generating robot control code from natural language, connecting robots to AI models via MCP servers, and adding vision-based scene understanding for interactive, feedback-driven control.

Satya Nadella highlights an Azure milestone: a new performance record for a leading LLM training benchmark at extreme scale, achieved through full-stack work across silicon, systems, networking, and software in partnership with NVIDIA.

azinh17 breaks down how Azure achieved a top MLPerf Training v6.0 result for Llama 3.1 405B, training at extreme scale across 8,192 GPUs. The post focuses on the cluster and network architecture choices—NVLink scale-up domains, Azure’s MRC fabric, and topology-aware parallelism mapping—that kept step time stable as the system scaled.

Chris Welsch reports on İmeceMobil, an agriculture platform built on Microsoft Azure that helps Turkish farmers use AI-driven satellite imagery analysis, hyperlocal weather alerts, and expert guidance to improve crop decisions. The piece also highlights the Azure services and security tooling used to run the app at scale.

diptiborkar announces new Microsoft Fabric and Azure Databricks interoperability that lets teams use Microsoft OneLake as a shared, native storage layer, including GA read access and beta support for writing Unity Catalog managed tables. The post also frames OneLake as a governed data and context foundation for analytics and AI agent workloads.

preshah announces new interoperability features between Azure Databricks and Microsoft Fabric: storing Unity Catalog managed tables directly in OneLake (beta) and a “Publish to Fabric” workflow (preview) that creates mirrored catalog items from Databricks so the same tables can be queried across Fabric workloads without copying data.

Anavi Nahar rounds up Azure Databricks announcements and sessions from Databricks Data + AI Summit 2026, focusing on tighter interoperability with Microsoft’s data stack (OneLake, ADLS) and governed access via Unity Catalog, plus new integrations like the Excel add-in, SharePoint ingestion, and OneLake catalog federation.

Jamesdld23 explains how to avoid the 230-second HTTP timeout in Azure Functions by splitting long-running sync work into an HTTP “request” function that enqueues a message and a queue-triggered function that performs the job, with practical PowerShell and Azure CLI examples plus Entra ID-based auth hardening.

Microsoft Developer shares a 4-minute trailer previewing Livestream 1 of POSETTE 2026, highlighting 11 PostgreSQL-focused talks that include Microsoft’s Postgres roadmap, performance tuning, AI tooling, Azure infrastructure choices, and a comparison of PostgreSQL vs. SQL Server security models.

Ayan Gupta, Sandra Ahlgrimm, and Yoshio Terada show how GitHub Copilot can be used to modernize a legacy Java application through a structured workflow, using a real migration from Java 5/Struts to Java 21/Spring Boot and finishing with deployment to Azure.

yalavi explains how the Azure Copilot observability agent runs “deep investigations” to troubleshoot incidents by correlating telemetry across application, infrastructure, and platform layers, and by producing an evidence-backed narrative with clear mitigations rather than a single best-guess answer.

John Savill gives an overview of Azure HorizonDB, explaining how it relates to PostgreSQL and walking through its cloud-native architecture, core components, and key capabilities like standby replicas and other platform features, plus a high-level look at pricing and where to find the official docs.

John Savill gives a very quick introduction to HorizonDB, framing it in the context of Azure and PostgreSQL as a cloud database option.

John Edward explains how Microsoft Fabric OneLake in Azure acts as a single, organization-wide data lake and why it matters for modern enterprise analytics architecture, including reducing data silos, supporting lakehouse patterns, and improving governance and AI readiness.

GeertVanTeylingen outlines a zero-copy pattern for making enterprise file data usable by modern AI and analytics platforms, using Azure NetApp Files as the system of record and Microsoft OneLake shortcuts to expose that data without migration or duplication.

GeertVanTeylingen explains how to build an enterprise RAG “knowledge pipeline” that can index and retrieve file-based content in place (no copy/migration) using Microsoft OneLake, Azure AI Search, and Azure OpenAI for embeddings and grounded answers with citations.