best practices
67 TopicsDevelop 5G Modern Connected Applications using Microsoft application accelerator
Today, 5G enables new applications for scenarios that were previously out of reach. From smart roads that can notify of obstacles in the road in real time to smart airports that can identify runway issues before they threaten safety, a new breed of real-time and mission-critical applications is emerging.Introducing a better way to integrate Azure AD with API Management
Since, well, the beginning of Azure API Management, you've been able to validate that the Json Web Token (JWT) coming into your Azure API Management service is valid before passing it onto the backend service. Azure Active Directory (AAD) is a mainstay of enterprise APIs, providing authentication and authorization controls for a wide variety of APIs from M365 APIs to custom-built APIs. It should be the centerpiece of your enterprise API security infrastructure. Wouldn't it be wonderful if they worked better together.Using Keycloak with Azure AD to integrate AKS Cluster authentication process
Integrating Azure Kubernetes Service (AKS) with Keycloak through Azure Active Directory (Azure AD) as an intermediary leverages Azure AD’s support for OpenID Connect (OIDC) to handle authentication and authorization. This integration enhances security, streamlines user management, and simplifies the authentication process for users accessing the AKS cluster.Introducing Vector Search Similarity Capabilities in Azure Cache for Redis Enterprise
The latest wave of generative AI, like large language models, has paved the way for significant advancements in the utilization of vector embeddings and vector similarity search. Large language models, such as OpenAI's GPT, are capable of learning complex patterns and representations from vast amounts of text, enabling them to generate rich semantic embeddings for words, sentences, and documents. By leveraging these learned embeddings, developers can now harness the power of vector similarity search, revolutionizing the way information is organized, retrieved, and analyzed in various domains, including fraud detection, recommendation systems, and information retrieval.Improving Web Application Performance Using Azure Cache for Redis
We recently released the Web App + Database and Cache in Azure portal | Create a resource for easily creating an Azure Cache for Redis with a Web App and a database. Adding Azure Cache for Redis to your web application can obliterate bottlenecks and provide a consistently fast and responsive user experience by caching the frequently accessed information to avoid the overhead of expensive API calls and database interactions. Try out adding Azure Cache for Redis to your web application today and see how much faster your app will run!13KViews4likes0CommentsSemantic Kernel: What It Is and Why It Matters
Are you a developer who wants to leverage the power of large language models (LLMs) like GPT-enabled features in your applications or have you been wondering how to integrate them with your existing code and data to make your apps smarter? If you answered yes to any of these questions, then you need to check out Semantic Kernel. On today’s blogpost feature from the Open at Microsoft show, we will be featuring Semantic Kernel as well as exploring the highlights and key takeaways from this enlightening episode.Automate your API deployments with Azure API Management and Bicep modules
Most practitioners can agree that making the jump from ad-hoc to CI/CD can seem complex. This article provides a solid mechanism to modularize your API deployments to Azure API Management using bicep templates to keep the infrastructure code you write simple.