caching-ml-dotnet

Caching in ML.NET to Quickly Retrain Machine Learning Models

You, I, and even John next door know that machine learning has made your machines “smarter” by predicting future outcomes, using the data fed to them. ML.NET is the de facto standard in .NET for machine learning, that allows you to train models upfront and make predictions accurately. Let’s suppose you have an ML.NET application…

Scaling Real-Time ASP.NET Core SignalR Apps

Looking around us, we see hundreds and thousands of real-time web applications that thrive on availability, reliability and constant feedback. For example, with the Premier League’s (a top level of the English football league system) matches currently going on, a lot of people have shown interest in betting against these matches. As a result, the…

pub-sub-dotnet

.NET Microservices: Scaling with Pub/Sub

There has been a paradigm shift in the software industry lately where the microservice architecture is now replacing the general monolithic application architecture for server apps. The concept of a set of loosely coupled, independent, lightweight modules with each module representing a single functionality and running in their own processes has been selling like hotcakes…