Tag Archives: Distributed Cache

How to Share Different Object Versions using Distributed Cache?

It is a fact of life that organizations have different applications using different versions of the same classes because they were developed at different points in time and are unable to keep up. It is also a fact of life … Continue reading

Posted in Binary Serialization, Data Sharing with Distributed Cache, Distributed Cache, Object Versions Sharing, Serialization | Tagged , , , | Leave a comment

Query a Distributed Cache with SQL-Like Aggregate Functions

Today, distributed cache is widely used to achieve scalability and performance in high traffic applications. Distributed cache offloads your database servers by serving cached data from in-memory store. In addition, few distributed caches also provide you SQL-like query capability, which … Continue reading

Posted in Aggregate Functions, Distributed Cache, Object Query | Tagged , , , | Leave a comment

Class Versioning in Runtime Data Sharing with Distributed Cache

Today many organizations use .NET and Java technologies to develop different high traffic applications. At the same time, these applications not only have a need to share data with each other, but also want to support runtime sharing of different … Continue reading

Posted in Data Sharing with Distributed Cache, Distributed Cache | Tagged , , | Leave a comment

Distributed Cache Continuous Query for Developing Real Time Applications

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 … Continue reading

Posted in Continuous Query, Distributed Cache, Distributed events | Tagged , , | Leave a comment

.NET and Java Data Sharing with Binary Serialization

Many organizations today use a variety of .NET and Java technologies to develop different high traffic applications. At the same time, these organizations have a need to share data at runtime between .NET and Java applications. One way to share … Continue reading

Posted in data sharing, Distributed Cache, Serialization | Tagged , , | Leave a comment

JSP Session Persistence and Replication with Distributed Cache

As you know, JSP applications have the concept of a Session object in order to handle multiple HTTP requests. This is because HTTP protocol is stateless and Session is used in maintaining user’s state across multiple HTTP requests. In a … Continue reading

Posted in Distributed Cache, Java, JSP Session Persistence | Tagged , , | Leave a comment

Scaling your Java Spring Applications with Distributed Cache

Spring is a popular 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 … Continue reading

Posted in Distributed Cache, Spring | Tagged , | Leave a comment

Synchronize Distributed Cache with Database using CLR Stored Procedures

Distributed caching has become a very important part of any high transaction application in order to ensure that the database does not become a scalability bottleneck. But, since a distributed cache keeps a copy of your application data, you must … Continue reading

Posted in CLR procedures, Database synchronize, Distributed caching | Tagged , , | 5 Comments

How Compact Object Serialization Speeds up Distributed Cache?

Serialization transforms an object into a byte-stream so it can be moved out of a process either for persistence or to be sent to another process. And de-serialization is the reverse process that transforms a byte-stream back into an object. … Continue reading

Posted in Distributed Cache, Serialization | Tagged , | 1 Comment

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 … Continue reading

Posted in 3rd party integrations, Distributed caching, Entity Framework | Tagged , | 2 Comments