This is a feed of links I've run across and found interesting or noteworthy. The images, content and opinions in them are owned by their respective authors.
Ian Cooper discusses messaging patterns for resilient, scalable systems in distributed architectures, providing insights and techniques for senior engineers and architects.
Distributed Systems, Messaging Patterns, Scalability, Event-Driven Architecture
Learn how to connect .NET Aspire with AWS, wiring up messaging flows using SNS & SQS in this hands-on tutorial.
AWS, .NET Aspire, SNS, SQS, messaging pipeline, CloudFormation, CDK
Startups favor JavaScript and TypeScript over .NET and C# for greater flexibility and community support.
startups, .NET, C#, JavaScript, TypeScript
This tutorial guides software engineers in creating a price prediction API with ML.NET and ASP.NET Core.
ML.NET, ASP.NET Core, API, machine learning, price prediction
This tutorial teaches ML.NET AutoML for C# and Visual Studio 2022, covering multiclass classification, model training, and saving/loading models, part of ESRB rating prediction.
ML.NET, AutoML, C#, machine learning, Visual Studio, ESRB rating, classification
Discover how to implement machine learning in C# using ML.NET, with insights from Matt Eland's innovative AI projects and teachings.
ML.NET, C#, machine learning, AI
Learn C# using .NET Interactive and VS Code with C# notebooks.
C#, notebooks, .NET Interactive, VS Code, data processing
A comprehensive guide for C# developers to build and deploy custom models using .NET, featuring an intelligent API for production-ready systems.
C#, .NET, model training, API, software development
The author recounts challenges with Blazor Server dashboard integration within the SMP Pharmacy CRM, addressing the complexities of the 'Two-Stack' architecture.
Blazor, .NET, software engineering, Two-Stack, SMP Pharmacy CRM
The article recounts the author's initial experience building an AI assistant using Blazor and Semantic Kernel at night.
AI, .NET, Blazor, Semantic Kernel, Microsoft