Category: .NET

Introduction Large language models (LLMs) are driving the rapid growth of semantic search applications. Semantic search understands both user intent and content context, rather than just matching keywords. LLMs enhance this capability through their advanced language processing abilities. These AI models can process multiple content formats, including text, images, audio, and video. The users receive […]

Razvan Pat contributed to this article. Introduction As .NET developers, we often find ourselves at a crossroads when venturing into the world of machine learning and AI. While Python dominates this space, what if you could leverage your C# skills in a powerful machine learning (ML) environment? That’s exactly what we’re exploring today: how to […]

Introduction In the .NET world, the modernization process for .NET Framework applications can be complex, presenting significant challenges for enterprise software development teams. Organizations with extensive .NET Framework codebases face critical decisions about migrating traditional applications to modern .NET and Linux, including careful analysis of dependencies and how to handle compatibility constraints. Existing libraries may […]

Introduction In the ever developing landscape of modern software development, observability has emerged as a crucial aspect of building and maintaining robust applications. OpenTelemetry, a Cloud Native Computing Foundation (CNCF) project, provides a vendor-neutral set of APIs, libraries, and tools for generating and managing telemetry data, including metrics, logs, and traces. One of the powerful […]

AWS Elastic Beanstalk makes deploying, managing, and scaling .NET web applications on Amazon Web Services incredibly easy. This powerful service is available to anyone developing or hosting .NET apps on IIS. In this post, I’ll walk through setting up a continuous integration and deployment pipeline for an ASP.NET Core application, using Azure DevOps, Amazon Simple […]

Introduction Amazon Bedrock is a fully-managed serverless service which provides high-performing Foundation Models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, and Stability AI. Amazon Bedrock offers developers the flexibility to select the most suitable Generative AI model based on their specific requirements. You can build generative artificial intelligence (AI) applications […]

AWS Elastic Beanstalk makes deploying, managing, and scaling .NET web applications on Amazon Web Services easy. This powerful service is available to anyone developing or hosting .NET apps on IIS. In this post, I’ll demonstrate how to set up a continuous deployment pipeline to Elastic Beanstalk directly from GitHub using GitHub Actions. With just a […]

This post was co-authored by Alok Bhatnagar, Technical Account Manager, AWS, and Tomáš Herceg, founder of DotVVM, an open-source framework that simplifies creating line-of-business web applications for .NET developers.  Since the genesis of the .NET Framework, ASP.NET Web Forms has been a popular choice for building websites. Even to this day, there are thousands of […]

Introduction gRPC is a high-performance, cross-platform Remote Procedure Call (RPC) framework that allows for efficient communication between microservices. It was developed by Google and is now open-source. gRPC efficiently connects services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. For more information on gRPC, read the gRPC […]

Introduction Disaster Recovery (DR) is an essential aspect of cloud computing. A solid DR strategy is required to ensure business continuity and less downtime in the event of unexpected disruptions. AWS, with its global infrastructure, provides the flexibility and scalability needed for effective DR. Multi-AZ (Availability Zone) deployments provide DR capability at the AZ level. […]