Best of Azure — September 2024

  1. 1
    Article
    Avatar of techworld-with-milanTech World With Milan·2y

    What are the main Cloud Design Patterns?

    Cloud Design Patterns offer practical solutions to address the common fallacies associated with distributed computing, such as network reliability, latency, and security concerns. These patterns are essential for building dependable, scalable, and secure cloud systems. Key groups of patterns include data management, design and implementation, messaging, security, and reliability. Learn about implementing these patterns to improve system performance and resilience, as well as the various load-balancing options available in Azure for enhanced system availability and performance.

  2. 2
    Article
    Avatar of devblogsDevBlogs·2y

    Build a chatbot on your own data in 1 hour with Azure SQL, Langchain and Chainlit

    Creating a custom chatbot using your own data has become straightforward with the help of LangChain, Chainlit, and Azure SQL. By leveraging Azure SQL's new vector support, you can store and query data embeddings. LangChain assists in defining prompts for the chatbot and retrieving relevant session data from the database. Finally, the integration with Chainlit ensures seamless Conversational AI implementation. This process takes less than an hour and can be further expanded based on your requirements.

  3. 3
    Article
    Avatar of taiTowards AI·2y

    Building & Deploying a FastAPI Video Description App: From Code to Cloud with GPT, Docker and Azure

    Learn how to build a FastAPI application that converts video URLs into text descriptions using AI. This beginner-friendly guide covers setting up a Python virtual environment, containerizing the app with Docker, and deploying it to Azure Web Apps. By the end, you'll have a fully functioning app deployed online.

  4. 4
    Article
    Avatar of milanjovanovicMilan Jovanović·2y

    .NET Aspire: A Game-Changer for Cloud-Native Development?

    Microsoft's .NET Aspire is an opinionated, cloud-ready stack designed to simplify the process of building, deploying, and managing distributed applications. It provides a streamlined setup using .NET Aspire Orchestration, making configurations and integrations more straightforward with built-in observability tools for logging, metrics, and distributed tracing. While Aspire simplifies the setup and monitoring of complex systems, it may present a learning curve for newcomers to cloud-native development. It is particularly well-suited for Azure deployments but requires careful evaluation for simpler applications or non-Azure services.

  5. 5
    Article
    Avatar of dotnet.NET Blog·2y

    GitHub Models and .NET: Building Generative AI apps for engineers

    GitHub Models is breaking down barriers to accessing AI models, offering a seamless integration with development environments like GitHub Codespaces and VS Code. The public beta lets developers test models like GPT-4o, Phi 3, Mistral Large 2, and Llama 3.1 within the GitHub UI. With built-in responsible AI practices, global availability via Azure, and robust support through the Azure AI Inference SDK, .NET developers can easily incorporate these models into their applications. Join the GitHub Models private beta and start experimenting with AI capabilities today.

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