Scale Java Spring Applications with NCache Distributed Cache

Spring is a lightweight, dependency injection and aspect-oriented development container and framework for Java. It reduces the overall complexity of J2EE development and provides high cohesion and loose coupling. Because of the benefits Spring provides, it is used by a lot of developers for creating high traffic small to enterprise level applications. But these high…

Using NCache as Hibernate Second Level Java Cache

Hibernate is an Object-Relational Mapping library for Java language. It provides you mapping from Java classes to database table and reduces the overall development cycle. Because of benefits Hibernate provides, more and more high transactional applications are developed using Hibernate. Here is an example of Hibernate in a Java application. But, these high traffic Hibernate…

Entity Framework Applications Using Distributed Cache

Entity Framework is an object-relational mapping engine that provides abstraction from underlying relational database and therefore greatly simplifies development. Because of these benefits, more and more data-centric and high transactional applications and services are developed with Entity Framework. But, these high traffic applications are facing scalability problems. Although the application-tier level is scalable, their database…

How to Use LINQ for Searching Distributed Cache?

Distributed caching is becoming really popular among developers of high transaction applications because it improves your application’s performance and scalability. And, this popularity means that developers are caching more and more data in it which they also want to be able to search just like they are able to search relational databases. But, one major…

How SQLCacheDependency Synchronizes Distributed Cache with Database?

Distributed Caching has become a popular way of improving .NET application performance and scalability. That is why developers are caching more and more data in distributed cache. However along with this come a few challenges. One important challenge is to ensure that data in the cache is always synchronized with the database. This is because…

When to Use Client Cache with Distributed Caching?

A distributed cache is essential for any application that demands fast performance during extreme transaction loads. An in-memory distributed cache performs better than a database. And, it can provide linear scalability in handling greater transaction loads because it can easily let you add more servers to the cache cluster that a database server cannot do.…