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.
Switching data formats from JSON reduced API response times from 120 ms to under 20 ms for some endpoints, significantly improving performance.
API, performance, data formats, JSON, optimization
A comprehensive framework that bridges the gap between AI agent research and practical application.
AI, Microsoft, AutoGen, Semantic Kernel, Agent Framework
Reflecting on past advocacy for REST APIs as the ultimate design choice in microservices.
REST, APIs, microservices, system design
Udi Dahan discusses a method to enhance decoupling in service designs, reducing data coupling while improving encapsulation for software engineers.
#microservices #ddd #architecture #api
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