Author Archives: iqbalkhan

How to Store ASP.NET Session State in Multi-Site Deployments?

ASP.NET has become really popular for developing high traffic web applications. Many of these applications are deployed to multiple geographical locations. This is done either for disaster recovery purposes or for handling regional traffic by having the ASP.NET application closer … Continue reading

Posted in ASP.Net, Distributed Cache | Tagged , , | Leave a comment

How to Use Custom Dependency in Distributed Cache?

Today, web applications are increasingly using distributed cache for boosting performance and scalability by caching frequently used data so as to reduce expensive database trips. Distributed cache spans and synchronizes over multiple cache servers to let you scale in a … Continue reading

Posted in Cache dependency, Custom Dependency, Distributed Cache, Distributed caching | Tagged , , , | Leave a comment

How to Configure .NET 4.0 Cache to use a Distributed Cache?

In-memory distributed cache today has become really popular for applications running in a multi-server environment because it helps improve application scalability and performance. Until .NET Framework 3.5 there was ASP.NET Cache object available only for web application under System.Web.Caching namespace. … Continue reading

Posted in .NET 4.0 Cache, Distributed Cache, Distributed caching | Tagged , , | Leave a comment

How to Cache ASP.NET View State in a Distributed Cache?

ASP.NET today is widely used for high traffic web applications that need to handle millions of users and are deployed in load balanced web farms. One important part of ASP.NET is View State that many applications use. ASP.NET View State … Continue reading

Posted in ASP .NET performance, ASP.Net, ASP.NET Cache, Distributed Cache, Distributed caching | Tagged , , | 2 Comments

How to Configure Preloading in a Distributed Cache?

  Today’s applications need to scale and handle extreme levels of transaction loads. But, databases are unable to scale and therefore become a bottleneck. To resolve this, many people are turning to in-memory distributed cache because it scales linearly and … Continue reading

Posted in Distributed Cache | 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