End-to-End Full-Stack Web Application with Azure AD B2C Authentication: A Complete Guide
Are you looking to build a secure, scalable full-stack web application with modern authentication? In this blog, we'll walk you through an end-to-end implementation using Azure services. Learn how to integrate Azure Static Web Apps for your React frontend, an Express API backend hosted on Azure App Service, and a SQL database. We'll also cover how to set up Azure AD B2C for robust authentication and authorization, and automate your deployment with GitHub Actions. Dive in to see how these powerful tools come together to create a seamless and secure application architecture.Build image with containerised self-hosted Azure DevOps agent and private Azure Container Registry
Do you want to know how to use containerized self-hosted agents for Azure Pipelines? In this blog post, you will discover the benefits, challenges, and solutions of running your self-hosted agents in a container. You will also see a proof of concept that demonstrates how to build container images using Azure Container Registry and Azure Container Instances. Read on to find out how you can improve your CI/CD workflow with containerization.Generative AI Technical Patterns: Chat with Your Data
The "Chat with Your Data" architecture is more than just a technical solution; it is a path to empowering businesses with AI-augmented data interaction. It offers a robust and scalable way to process and retrieve information, combining the reliability of Azure Storage with the ingenuity of Azure AI. For clients who require a system that understands and responds to natural language queries with speed and accuracy, this architecture offers a compelling solution that will place them at the forefront of data accessibility and customer interaction.Technical Pattern: Build Your Own AI Assistant
The "Build Your Own AI Assistant" architecture is a highly adaptable and powerful solution that enables businesses to leverage AI to enhance their operations. It is designed with both the technical and business user in mind, ensuring that while it is underpinned by sophisticated technology, it remains accessible and practical for everyday use. Sales representatives can confidently position this architecture as a forward-thinking choice for organizations seeking to innovate and stay competitive by harnessing the power of AI for data-driven insights and tasks.Automating End-to-End testing with Playwright and Azure Pipelines
The article discusses the importance of end-to-end testing in software development. It introduces Playwright, an open-source automation framework developed by Microsoft, as a superior alternative to Selenium for writing automated browser tests.Looking to optimize and manage your cloud resources? Join our Azure optimization skills challenge!
Discover the value of Azure optimization by learning how to build cloud resiliency, create reliable and secure workloads, manage your cloud spend, and innovate through modernizing. Join our Azure Optimization Cloud Skills Challenge for a curated set of Microsoft Learn exercises—finish in 30 days for a special reward!High-performance storage for AI Model Training tasks using Azure ML studio with Azure NetApp Files
This article describes how to provide enterprise grade high performance persistent storage with data protection capability for AI Model training tasks using studio compute instances with Azure NetApp Files (ANF).Distributed ML Training for Click-Through Rate Prediction with NVIDIA, Dask and Azure NetApp Files
The work of a data scientist should be focused on the training and tuning of machine learning (ML) and artificial intelligence (AI) models. However, according to research, data scientists spend approximately 80% of their time figuring out how to make their models work with enterprise applications and run at scale. This article will help shift that paradigm.
