NCache is an in-memory distributed cache for .NET, Java, Node.js, Python and Scala. It is an extremely fast, linearly scalable cache memory store that caches application data to reduce expensive database trips. NCache, being the market leader for .NET applications, has a huge and diverse customer base with different caching needs. To meet all these…
NCache has lots of features: ASP.NET Cache provider and Full-Text searching, among others. But, this time, let’s see another NCache feature: Publisher/Subscriber (Pub/Sub) messaging. Let’s learn how to implement the Pub/Sub messaging pattern with NCache. What’s Pub/Sub messaging? Pub/Sub is a messaging pattern where senders (or publishers) share messages with multiple receivers (or subscribers) through…
Communication is the key. Especially, when there is a high transaction distributed application with thousands of loosely coupled entities involved. In that case, there is a dire need for scalable and flexible communication between different modules to keep your application running smoothly without stale information. Since newly emerging applications are shifting to the microservices-based architecture,…
The advent of distributed caching systems has fixed the problem of databases becoming over-loaded and laggy. Today these distributed caches can handle the load of millions of data transactions taking place per second, but there is a problem. Most enterprise-level applications rely on changes taking place in some specific portions of this data. These applications…
Let’s say you pay at a mart using your card. Now you are at home, haven’t gone out in a while and you receive a message from your bank stating you have debited $20000. How? What you purchased cost you a mere $120! This will entail a long process of verifications with your bank, and…
Who doesn’t love sports? Every year, when sports season begins, we all start rooting for our favorite teams. Now how many times has a busy schedule or an emergency at work made you miss a game, that too when your favorite team is playing? Pretty sure we all have been there. This brings us to…
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…
For high transaction applications with complex architectures, continuously interchanging data causes a non-uniform load and delay in throughput.
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 (a top level of the English football league system) matches currently going on, many people have shown interest in betting against these matches. As a result, the leading real-time…