As data becomes more critical to businesses, the need for real-time data processing (particularly when data is arriving in chunks or streams) and analysis is increasing at an unprecedented rate. Applications that depend on real-time data processing require a reliable method of receiving real-time notifications when data changes occur without causing performance overheads that result…
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…
The conventional monolithic application architecture for server apps has recently undergone a paradigm shift in the software industry, and microservice architecture is currently taking its place. The idea of a collection of lightweight, loosely connected modules that each represent a single functionality and execute in their processes has been quite popular, and for good reason.…
These days, many companies are running both .NET and Java applications in their enterprise environment. Often these applications need to share data with each other at runtime. The most common way they do that today is by storing the data in the database and having the other application poll and look for it. Some people…
High traffic real time applications are widely used in the enterprise environment. In real-time applications, information is made available to you in moments it’s produced and any delay in doing so can cause a serious financial loss. The main challenge faced by these high traffic real time applications is to get notified about any changes…