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Category Archives: Distributed Cache
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 … Continue reading
Develop Real Time Applications using Distribute Cache Continuous Query
High traffic real time applications are widely used in 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
Event Driven .NET and Java Data Sharing thru Distributed Cache
These days, many companies are running both .NET and Java applications in their enterprise environment. And, often these applications need to share data with each other at runtime. The most common way they do that today is by storing the … Continue reading
.NET and Java Data Sharing with Binary Serialization in Distributed Cache
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 Binary Serialization, data sharing, Distributed Cache
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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 Distributed Cache, Java, JSP Session Persistence
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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
How to Scale Java Applications with Distributed Cache?
Java is widely used for developing high traffic distributed applications. But, these high traffic Java applications are facing a major scalability problem. Although these applications can easily scale at application-tier level by adding more web servers to the web farm, … Continue reading
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