Best of Azure — 2025

  1. 1
    Article
    Avatar of ubuntuUbuntu·1y

    Building an end-to-end Retrieval- Augmented Generation (RAG) workflow

    This post provides a comprehensive guide on setting up a retrieval-augmented generation (RAG) pipeline using open source tools like Charmed OpenSearch and KServe, specifically in Azure and Ubuntu environments. It covers key components of a RAG system, including data processing, embedding models, retrieval, vector databases, and more, while emphasizing the importance of scalability, security, and the use of open source solutions.

  2. 2
    Article
    Avatar of javarevisitedJavarevisited·1y

    10 Best Cloud Computing Courses, Labs and Projects in 2025

    Cloud computing is essential for modern software development and business operations in 2025. This guide provides a list of the 10 best interactive online courses, labs, and projects from Educative.io to learn cloud computing from scratch. These resources cover AWS, Azure, and Google Cloud Platform, providing practical skills for building and managing cloud solutions. It's an ideal resource for beginners to advanced professionals aiming to gain expertise and prepare for certifications.

  3. 3
    Article
    Avatar of techworld-with-milanTech World With Milan·32w

    What is a Principal Engineer at Microsoft?

    Dejan Dundjerski, Principal Software Engineer at Microsoft's Belgrade Development Center, shares his 20-year journey from building POCs for Azure SQL's first open-source database to replatforming Azure SQL Managed Instance at 10x scale. He explains that principal engineers differ from seniors by not just identifying problems but implementing solutions and leading others to join. Key advice includes focusing on simplicity in architectural decisions, understanding technical details deeply in your domain, avoiding short-term workarounds, and making changes at the right level of the tech stack. He emphasizes problem-solving mindset over titles, recommends blocking time for deep focus while handling 30-second tasks immediately, and treats LLMs as queryable libraries rather than requiring comprehensive study.

  4. 4
    Article
    Avatar of theregisterThe Register·28w

    Microsoft's lack of quality control is out of control

    Microsoft's quality control has deteriorated significantly since 2014 when the company laid off many testers in favor of agile methodologies. Recent years have seen repeated issues including the Windows 10 October 2018 Update that deleted user files, frequent problematic Windows updates, and multiple Azure outages caused by faulty configuration changes. While some Windows issues may be understandable given the vast ecosystem, the recurring Azure production failures raise serious questions about Microsoft's competence in managing its own infrastructure.

  5. 5
    Article
    Avatar of collectionsCollections·1y

    Enhancing PostgreSQL Development with Microsoft's VS Code Extension

    Microsoft has launched a PostgreSQL extension for Visual Studio Code that aims to improve database management and development workflows. Features include GitHub Copilot integration, schema visualization, Docker container management, and Entra ID for secure connections. This extension provides tools for efficient, secure, and productive database interactions, particularly for those using Azure Database for PostgreSQL.

  6. 6
    Video
    Avatar of communityCommunity Picks·1y

    Deploy Full-Stack .NET Apps for FREE in 2025 (Azure + Postgres)

    Learn how to deploy a full-stack application using React, .NET, and Postgres in the Azure cloud completely for free. The guide covers setting up the frontend with Next.js as a static web app, the backend with ASP.NET Core 9 API hosted on Azure App Service, and using a Postgres database from Superbase or Neon. It includes step-by-step instructions for deploying the application and configuring necessary services and environment variables.

  7. 7
    Video
    Avatar of letsgetrustyLet's Get Rusty·1y

    Microsoft is using AI to convert code to Rust...

    Microsoft is increasingly adopting Rust across its products to enhance security by preventing memory safety issues. The company's AI tools, such as the C to Safe Rust transpiler and Python to Rust translator, are accelerating code migration to Rust. Notable applications of Rust at Microsoft include Windows components, Office algorithms, and Azure services. Feedback from developers highlights both the benefits and challenges of using Rust. Overall, Microsoft's efforts are significantly boosting the adoption of this memory-safe language in the industry.

  8. 8
    Article
    Avatar of devblogsDevBlogs·21w

    Java at Microsoft: 2025 Year in Review

    OpenJDK 25 shipped as the new Long-Term Support release with Microsoft Build of OpenJDK 25 available across platforms and Azure services. GitHub Copilot expanded AI-assisted development across Java IDEs (Eclipse, IntelliJ, VS Code) and CLI, with new app modernization capabilities for upgrading Java versions and frameworks. Azure Command Launcher for Java entered public preview, providing automatic JVM tuning without manual configuration. Microsoft deepened investments in AI development with support for LangChain4j, Spring AI, Quarkus AI, and Embabel frameworks, plus educational content for beginners. The company participated in major Java conferences including Microsoft JDConf and JavaOne, while contributing to open source projects across the Java ecosystem.

  9. 9
    Article
    Avatar of collectionsCollections·45w

    Essential Resources to Master AI and LLM Engineering in 2025

    A curated collection of books, courses, and tools for software developers transitioning to AI and LLM engineering roles. Covers essential resources including Chip Huyen's AI Engineering book, Udemy bootcamps, LLM engineering handbooks, and practical tools like LangChain, OpenAI APIs, and Spring AI. Also includes certification paths like Azure AI-102 and specialized tools such as Cursor AI editor for enhanced development workflows.

  10. 10
    Article
    Avatar of itnextITNEXT·1y

    Build a MCP server using Go to connect AI agents with databases

    Explore how to build a Model Context Protocol (MCP) server using Go to connect AI agents with Azure Cosmos DB. This guide includes step-by-step instructions for setting up the MCP server, authenticating with Azure, and running various database operations such as listing databases and containers, reading metadata, creating containers, adding items, and executing queries.

  11. 11
    Article
    Avatar of collectionsCollections·29w

    .NET Conf: Explore the Future with .NET 10 and Visual Studio 2026

    .NET Conf 2025 is a free virtual conference from November 11-13 featuring the launch of .NET 10 and Visual Studio 2026. The event covers Visual Studio 2026's enhanced profiler and debugger tools, .NET 10 migration capabilities with Azure integration, C# 14 features, Blazor and .NET MAUI improvements, and AI integrations including Copilot advancements and Microsoft Agent Framework. Sessions include Microsoft experts and global community speakers sharing real-world applications and advanced techniques, with an additional Student Zone day on November 14 for beginners.

  12. 12
    Article
    Avatar of techworld-with-milanTech World With Milan·36w

    Scale from zero to million users on Azure

    A comprehensive guide to scaling applications from single users to millions on Azure, covering architectural evolution through six stages. Explores key concepts including stateless design, caching strategies, load balancing, database scaling, microservices decomposition, and multi-region deployment. Details Azure-specific services like App Service, SQL Database, Redis Cache, Front Door, and Cosmos DB for each scaling phase, with practical trade-offs between consistency and availability at global scale.

  13. 13
    Article
    Avatar of dotnet.NET Blog·36w

    Application Insights Code Optimizations for .NET Apps

    Microsoft introduces Application Insights Code Optimizations, a tool that automatically analyzes .NET application runtime traces to identify CPU and memory bottlenecks. The service provides actionable performance recommendations through Azure portal and integrates with GitHub Copilot for code-level suggestions. New features include blocking insights for thread analysis, direct GitHub Copilot assignment, and OpenTelemetry support in preview.

  14. 14
    Article
    Avatar of spaceliftSpacelift·1y

    Bicep vs. Terraform – Differences & Key Features Comparison

    Bicep and Terraform are both Infrastructure-as-Code (IaC) tools with distinct features. Bicep, designed by Microsoft, is Azure-specific, simplifying Azure resource deployment with a modular, accessible domain-specific language (DSL). In contrast, Terraform, created by HashiCorp, is cloud-agnostic and supports multi-cloud configurations through its provider ecosystem. Terraform requires state management files, while Bicep leverages Azure Resource Manager for state tracking. Each tool aligns with different use cases, with Bicep being ideal for Azure-focused teams, and Terraform offering broader cloud deployment capabilities.

  15. 15
    Article
    Avatar of 404Deleted user·30w

    Knock knock

  16. 16
    Video
    Avatar of programmersarealsohumanProgrammers are also human·1y

    Next-door 10x engineer // PART 2

    A tech-savvy individual, who has isolated himself at a data center for two months, engages in a humorous conversation about new projects, using different technologies like Google Cloud, AWS, Azure, Linux, and Rust. Various tech concepts, anime-inspired resumes, cross-compiling from punch cards, and AI awareness are discussed in lighthearted yet chaotic interactions.

  17. 17
    Article
    Avatar of towardsdevTowards Dev·44w

    Industry-Standard Architecture for Data Engineering Projects

    A comprehensive guide to building scalable data engineering architecture using Azure Data Factory and Databricks. The approach involves extracting CSV files from SharePoint, processing them through bronze and silver data layers, and implementing control tables for pipeline management. Key components include parameterized ADF pipelines, progress tracking metadata tables, and automated error handling to support multiple data interfaces efficiently.

  18. 18
    Article
    Avatar of collectionsCollections·46w

    Microsoft's Telemetry in Go Build: Enhancing Developer Tools

    Microsoft introduces telemetry collection in its Go build version 1.25 to gather anonymized usage data for improving developer tools and prioritizing roadmap items. The telemetry is enabled by default but can be disabled via environment variable. Microsoft's Go build maintains FIPS 140-3 compliance for regulated environments and is used internally in Azure Linux and Docker images. The collected data will drive feature development and performance optimizations while respecting user privacy through anonymization.

  19. 19
    Article
    Avatar of milanjovanovicMilan Jovanović·1y

    Streamlining .NET 9 Deployment With GitHub Actions and Azure

    Milan Jovanović explains how to set up a CI/CD pipeline for .NET 9 applications using GitHub Actions and Azure App Service. The guide includes a detailed workflow that builds, tests, and deploys applications. It covers automation of tasks like database migrations and code coverage, offering practical tips from real-world deployments. The aim is to make deployment processes reliable and efficient.

  20. 20
    Article
    Avatar of devblogsDevBlogs·1y

    .NET Aspire 9.2 is Now Available with New Ways to Deploy

    The latest release of .NET Aspire 9.2 includes new dashboard features and introduces 'publishers' for deployment. Key enhancements are the Resource Graph, custom resource URLs, deep linking for Azure integrations, and built-in custom HTTP commands. Developers are advised about breaking changes for Azure SQL Server and Azure PostgreSQL. Users can now deploy applications to Docker Compose, Kubernetes, and Azure using the new publisher feature.

  21. 21
    Article
    Avatar of freecodecampfreeCodeCamp·30w

    Serverless and Microservices with C# & Azure

    A comprehensive 2-hour video course covering serverless architecture and microservices development using C# and Azure. The course progresses from fundamental concepts to production-ready implementations, including Azure Functions, Docker containers, Kubernetes orchestration, and .NET Aspire. Topics include serverless architecture patterns, microservices design patterns, onion architecture, Azure triggers, background functions, IoT functions, and practical route planning microservices.

  22. 22
    Video
    Avatar of microsoftdeveloperMicrosoft Developer·1y

    Use VS Code to build AI apps and agents | BRK117

    The post discusses using VS Code to develop and deploy AI applications and agents with Azure services. It covers creating local AI agents using MCP servers for tool interfacing, employing GitHub Copilot for code generation, and utilizing Azure for scaling and deployment. It highlights the use of the Azure AI toolkit extension for model selection, prompt generation, and the configuration of AI agents. The post also showcases how to integrate Azure Foundry for secure and enterprise-scale AI agent management.

  23. 23
    Article
    Avatar of freecodecampfreeCodeCamp·1y

    How to Host Local LLMs in a Docker Container on Azure

    Learn how to host local large language models (LLMs) in a Docker container on an Azure Virtual Machine. This guide demonstrates setting up a virtual machine, configuring network security, installing Docker, and running AI models within containers. The process involves creating scripts for automation and ensuring that AI models are easily manageable and can be run without overwhelming local resources.

  24. 24
    Article
    Avatar of bartwullemsThe Art of Simplicity·1y

    Adding vision to Github Copilot

    Learn how to use the Vision for Copilot Preview extension to integrate vision capabilities into your Github Copilot chat within VS Code. The process involves installing the extension, configuring a connection with AI services like OpenAI or Azure OpenAI, and setting up necessary API keys. Once set up, you can effortlessly interact with images within your Copilot chat.

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