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Getting Started with WebSphere eXtreme Scale, Part 1: Understanding WebSphere eXtreme Scale and how it works
This introductory article offers a foundation to help you gain a technical understanding of what IBM WebSphere eXtreme Scale is, the features it provides, and the vast benefits it offers. This primer describes the underlying principles of data in memory, partitioning, and caching, and then describes WebSphere eXtreme Scale fundamentals in these terms. Use cases are included to show how these underlying principles result in business benefits.
Articles
 
WebSphere eXtreme Scale REST data service technical preview
The WebSphere eXtreme Scale REST data service is a Java HTTP service that implements Microsoft’s ADO.NET Data Services. The REST data service allows any HTTP client to access a WebSphere eXtreme Scale 7.0 grid.
 
WebSphere Extended Deployment
A suite of three powerful application infrastructure products that can be bought separately or as a package: WebSphere Virtual Enterprise, WebSphere eXtreme Scale, and Compute Grid
 
WebSphere eXtreme Scale trial download
Download a free trial version of IBM WebSphere eXtreme Scale (formerly Extended Deployment Data Grid) V6.1 which allows for the development of innovative types of applications by extending the data caching concept using advanced features in the creation of new classes of high-performance applications. These applications can be realized using the ObjectGrid component in flexible scenarios and configurations for increased levels of operational flexibility: Simple Data/Database, Peer to Peer, Shared, Client/Server, Real Time / Data Event Mining, and Ultra-Scale Data Grid.
Trial Downloads
 
IBM Extreme Transaction Processing (XTP) Patterns: Leveraging WebSphere Extreme Scale as an in-line database buffer
Learn how to optimize the performance of an application by leveraging WebSphere eXtreme Scale as the intermediary between the database and the application. This article provides an overview of the theory and implementation of the write-behind caching solution and JPA loader concepts. It then reviews an example business case coupled with sample code to demonstrate how to deploy these features.
Articles
 
IBM Extreme Transaction Processing (XTP) Patterns: Scalable and robust HTTP session management with WebSphere eXtreme Scale
This article shows you how to use WebSphere Extreme Scale as a separate in-memory data grid to store HTTP sessions. After describing existing software, the article shows how Extreme Scale addresses scalability challenges in a cost effective manner and simplifies the implementation of an Extreme Scale grid.
Articles
 
Software as a Service: Tenant specific HTTP and data source partitioning using WebSphere eXtreme Scale
Explore how SaaS service providers can improve application scalability by partitioning tenant specific HTTP requests and datasources in a multi-tenant application. This technique also referred as "Sharding" is shown using an example in WebSphere eXtreme Scale. Using a fictitious mult-tenant application called Jivaro, this demo explores how to integrate WebSphere Application Server Community Edition applications with WebSphere eXtreme Scale.
Demos
 
Comment lines: Erik Burckart: The most common questions about Session Initiation Protocol
If you have questions about the Session Initiation Protocol (SIP) Servlet 1.0 support (JSR 116) in IBM WebSphere Application Server, this article offers the most frequently needed answers about SIP support and functionality in WebSphere Application Server V6.1 and V7.
Articles
 
Enhancing xsadmin for WebSphere eXtreme Scale
IBM WebSphere eXtreme Scale V6.1.0.3 includes a tool called xsadmin, a Java application that interacts with WebSphere eXtreme Scale processes and displays information regarding the grid runtime, such as shard placement, available containers, and so on. This article discusses how you can enhance xsadmin to provide new functionality and better consumability for your eXtreme Scale deployment.
Articles
 
Processing complex business events with WebSphere eXtreme Scale, Part 2: Improving scalability with ObjectGrid partitions
This two-part series shows how IBM WebSphere eXtreme Scale can be used to improve performance and scalability when processing complex business events. Part 1 introduces a traffic monitoring scenario and uses an Object Grid on a stand-alone server to show how the scenario works. eXtreme Scale is used to pass high-volume raw events to a prefiltering application, which significantly reduces the processing load on WebSphere Business Events. Part 2 builds on this scenario and uses a distributed ObjectGrid to partition the events based on the Business Events context ID. This introduces high availability and scalability, as events can be processed by multiple Business Events instances.
Articles
 
Processing complex business events with WebSphere eXtreme Scale, Part 1: Reducing the load on WebSphere Business Events
This two-part series shows how IBM WebSphere eXtreme Scale can be used to improve performance and scalability when processing complex business events. Part 1 introduces a traffic monitoring scenario and uses ObjectGrid on a stand-alone server to show how the scenario works. eXtreme Scale is used to pass high-volume raw events to a prefiltering application, which significantly reduces the processing load on Business Events. Part 2 builds on this scenario and uses a distributed ObjectGrid to partition the events based on the Business Events context ID. This introduces high availability and scalability, as events can be processed by multiple Business Events instances.
Articles
 
Event stream processing with WebSphere eXtreme Scale
IBM WebSphere eXtreme Scale exposes a rich set of APIs that enable access to data residing within a distributed, resilient, and high performance cache. These APIs support a wide range of application programming patterns. One such pattern enables repeated cache updates to be treated as a temporal sequence of events. Applications written to monitor these event sequences are able to correlate and aggregate patterns of lower level events in order to derive real-time insight into business-significant situations. This article describes the implementation of a simple WebSphere eXtreme Scale-based scenario that illustrates the real-time processing of heterogeneous event streams.
Articles
 
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