Can your infrastructure scale as business-critical data volumes grow?
Shaku Selvakumar 060001XT47 firstname.lastname@example.org | | Tags:  extremescale web data application commerce websphere infrastructure scale server
1 Comments | 2,660 Visits
Contributed by Kathleen Holm ( @kmholm )
Many organizations are living with a false sense of security, believing they can meet rapid increases in demand and scale as needed. With more and more people joining the digital world, however, there is an exponential growth in business and non-business transactions that many companies are not prepared to address. Web commerce, RFID processing, real-time financial interactions, social networking and gaming are all requiring organizations to enhance their application performance in order to meet rising customer expectations.
How can WebSphere help support demanding critical applications?
IBM WebSphere eXtreme Scale provides distributed object caching for elastic scalability and high performance cloud environments, allowing companies to process massive volumes of data with efficiency and near linear scalability.
How does it work?
eXtreme Scale operates as an in-memory grid that dynamically processes, partitions, replicates and manages application data and business logic across hundreds of servers. It provides transactional integrity and transparent failover to ensure high availability and consistent response times.
How is it used?
WebSphere eXtreme Scale provides the technology to enhance business applications like web commerce, supply chain, financial, tracking and event on-line gaming, to form new, innovative classes of business applications by extending the data-caching concept with advanced features. A few scenarios and configurations are briefly described below:
Simple Data and Database Cache:
Client/Grid with Near Cache:
Side cache/Java Persistence API (JPA) cache plug-in:
Time Data and Event Mining:
WebSphere eXtreme Scale caches can span thousands of JVMs and support extremely large datasets. Efficient algorithms allow in-memory caches to grow elastically as the number of available JVMs or physical machines changes.
For more information about IBM WebSphere eXtreme Scale, download this white paper, check out this video, or listen to the webcast with IBM Distinguished Engineer, Bill Newport, Architect for eXtreme Scale.
Have questions? Email Kathleen at email@example.com