Author Archives: Iqbal Khan

Optimize ASP.NET Performance in Microsoft Azure with View State Caching

ASP.NET View State is a client side state management mechanism which is used to save page and control values. ASP.NET View State is a hidden field on the page as an encoded Base64 string. It is sent to client as … Continue reading

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Improve ASP.NET Performance in Microsoft Azure with Output Cache

Microsoft ASP.NET Output Cache provides functionality to cache rendered content of ASP.NET pages or user controls for a specified duration.This allows your ASP.NET application to serve all subsequent requests from the cache instead of re-rendering and re-execution of a page. … Continue reading

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Event Driven .NET and Java Data Sharing through 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

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Storing ASP.NET Session State in Azure Distributed Cache

Microsoft Azure provides a platform for ASP.NET applications in the cloud. Very often, these applications are high transactional and mission critical in nature. Therefore, it is very important that these applications are able to scale and that there are no … Continue reading

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Share ASP.NET Session State across Multiple Azure Regions

Many high traffic ASP.NET applications in Microsoft Azure are deployed over multiple Microsoft Azure regions in order to handle geographically separated traffic. In these situations, the load balancer always sends traffic to the Microsoft Azure region closest to the user … Continue reading

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Why Distributed Cache as NHibernate Second Level Cache?

NHibernate is a very popular object-relational mapping (ORM) solution for .NET applications because it simplifies your database programming. As a result, many applications using NHibernate are high traffic in nature and therefore face scalability bottlenecks in the database. To tackle … Continue reading

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How to Replicate a Distributed Cache across the WAN

Web applications today are handling millions of users a day. And, even with this high traffic, you have to maintain high performance for your users. To achieve this performance goal, many people are using in-memory distributed cache because it is … Continue reading

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How to Handle ASP.NET Session State Storage in Multi-Site Deployments

ASP.NET has become really popular for developing high traffic web applications. And, 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 … Continue reading

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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

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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

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

ASP.NET today is widely used for high traffic web applications that can 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 … 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 removes … Continue reading

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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

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Develop Real Time Applications using Distributed 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

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.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

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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

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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

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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. … Continue reading

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How to Synchronize Distributed Cache with Database with 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

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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

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