Caching Patterns for High-Performance .NET Applications

Caching Patterns for High-Performance .NET Applications

We can put a cache server between our application and database to make our applications faster. But that’s not enough when we need to scale our applications. Let’s see two caching patterns for better performance and how NCache implements them. Scalability through Data Partitioning With data partitioning, we divide large sets of data into smaller…

Enhance Search and Retrieval Performance in NCache

Enhance Search and Retrieval Performance in NCache

We all encounter situations where we have to wait for an eternity to get a response from the database in return for the generated queries at the application server. For business-critical applications latency and delay in response are intolerable. This is where a need for an optimized caching solution arises. While caches are commonly associated…

Introducing NCache Live Software Upgrade

Introducing NCache Live Software Upgrade

NCache is an in-memory distributed cache for.NET/.NET Core, Java, Python, NodeJS, and Scala applications, it is extremely fast and scalable. It is utilized in production settings for mission-critical applications, many of which are also user-interactive. In such applications, high availability is crucial. And through a variety of features, NCache does a great job of satisfying…

Cache-Database Data Inconsistency

Cache-Database Data Inconsistency: Pitfall and Solutions

Nowadays, every business application is using caching to improve data retrieval performance and reduce the need to get data directly from the database. Since databases started to slow down modern web applications, a variety of data caching techniques have been proposed. Data caching helps address the issue of database scalability and performance, but it also…

NCache Distributed Cluster for High Availability & Scalability

NCache Distributed Cluster for High Availability & Scalability

One common nightmare among developers and software architects is their sole web server/data source crashing, losing thousands of connected clients, applications, and precious data. With the help of a distributed, load-balanced caching layer such as NCache you can make your application tier highly scalable and available. With the increase in transaction load, you can add…

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…