By using the IBM WebSphere DataPower XC10 Appliance solution, Sprint has been able to keep up with the increasing demand of it's customers needs. Sprint endorsement of IBM DataPowerXC10 appliance Sprint says DataPower is perfect to "quickly scale" and runs super fast transaction with 16 milliseconds response time, wow, that's fast! Check the video for more!
By using the IBM WebSphere DataPower XC10 Appliance solution, Sprint has been able to keep up with the increasing demand of it's customers needs. Sprint reaches new audiences with IBM WebSphere DataPower solution Sprint says it now does 50 Billion transactions a month, and has increased its ad revenue. Check the video for more!
IBM WebSphere DataPower XC10 Appliance Collectives This video demonstrates how to create a collective of appliances for increased capacity and high availability.
IBM WebSphere DataPower XC10 Appliance Collectives
Developing Applications for IBM WebSphere eXtreme Scale V7.1 The content of this video is the first unit from the IBM WebSphere Education course ZA974 Developing Applications for IBM WebSphere eXtreme Scale V7.1.
This course covers the basic architecture of WebSphere eXtreme Scale, its programming APIs, and administrative concepts related to it. The course begins with an overview of the WebSphere eXtreme Scale product and grid technology. Students then learn how to use the various WebSphere eXtreme Scale APIs and programming models that are... [More]
WebSphere eXtreme Scale V7.1 Web Console This demo will show you the web console that is one of the new features in WebSphere eXtreme Scale version 7.1. The console enables you to chart current and historical statistics. WebSphere eXtreme Scale V7.1 Web Console &amp;amp;lt;/center&amp;amp;gt;
Session Failover with the WebSphere DataPower XC10 Session Failover with the WebSphere DataPower XC10 : This video describes how the WebSphere DataPower XC10 appliance may
be used for HTTP session replication across data centers to improve
customer satisfaction and reliability.
Short Introductions to eXtreme Scale eXtreme Scale Usage Patterns : A brief introduction to eXtreme Scale with a description of the four
basic usage patterns: 1. application state store (including HTTP Session
Management), 2. Side Cache, 3. In-line Cache (Database Shock Absorber),
4. Extreme Transaction Processing (XTP). Find out more here . Elastic Caching with eXtreme Scale : This video describes how eXtreme Scale provides grids that scale
elastically, meaning that they transparently scale out to add capacity
and scale in to recover... [More]
The IBM WebSphere DataPower XC10 Appliance IBM WebSphere DataPower XC10 Appliance Session Management : An introduction to the new IBM WebSphere DataPower XC10 Appliance and
a demo showing how easy it is to configure for session management.
Episode 13 - Getting started with ADO.NET REST data service ado dot net getting started tomcat demonstrates how to bring up the grid and bring up the data service framework using the getting started sample, then how to see what is happening in the grid. This first video uses tomcat and the second video uses the admin console. Download the sample from the main blog page. ADO.NET REST Data Services Getting Started
Episode 12 - ADO.NET REST Data Service These videos demonstrate how to set up an eXtreme Scale Data Service, and see it run with a web browser sample. Create a grid using the REST getting started steps, install and configure tomcat, and deploy the war file. The result is a working ADO.Net REST Data Service talking to an eXtreme Scale grid, ready to be a data service for any ADO.Net client applications. eXtreme Scale Scale ADO.NET Data Services - Part 1 IBM eXtreme Scale ADO.NET Data Service Howto - Part 2
Episode 11 - Version 7 overview, memory density, ADO.NET REST Data Service Overview of what's new in WebSphere eXtreme Scale V7.0: IBM WebSphere eXtreme Scale V7.0 ships Memory density improvements in V7.0: Memory density improvements in WebSphere eXtreme Scale V7.0 How to lower back-end costs considerably using IBM WebSphere eXtreme Scale: Saving money on backend systems with WebSphere eXtreme Scale Description of WebSphere eXtreme Scale chargeable units. What are they? Understanding how WebSphere eXtreme Scale is priced Overview of the... [More]
Episode 10 - Impact wrap-up, routing, patterns and optimistic locking Recap of what happened at IBM Impact 2009 in regards to eXtreme Scale: IBM Impact wrap up on IBM WebSphere eXtreme Scale How eXtreme Scale routing works for clients: Under the cover: How does client partition routing work in IBM WebSphere eXtreme Scale How and why to use the numInitialContainers deployment policy attribute when starting large grids: Starting large grids with numInitialContainers Overview of optimistic locking: Under the covers: How optimistic locking works in... [More]
Episode 9 - IBM Impact 2009 session overview, classifying styles of XTP and hub and spoke replication, Write-behind developerWorks article Overview of eXtreme Transaction Processing (XTP): What is XTP (eXtreme Transaction Processing)? Step 1: Classifying transactional systems How to choose between class 1 and 2 XTP systems: Class 1 and Class 2 XTP systems, how to choose between them and the advantages of class 2 systems Hub and spoke replicated transactional systems with eXtreme Scale: Hub and spoke replicated transactional systems with IBM... [More]
Episode 8 - Eliminating parallel queries, performance testing, write-behind error handling, reverse indexes and Impact 2009 preview Techniques for eliminating parallel, grid-wide queries: Best practises for eliminating parallel queries Discussion on why warming-up a JVM is important when performance testing: How to warm up JVMs correctly before measuring performance How to handle write-behind errors: Handling write behind errors correctly in applications Using reverse indexes for fast lookups: Reverse indexes, what are they and how to use them... [More]
Episode 7 - PureQuery loaders, stored procedure caching, stateful singletons and large query sets. Using IBM Data Studio PureQuery to create a general purpose loader: Using IBM DataStudio PureQuery runtime with IBM WebSphere eXtreme Scale Using maps and loaders to cache stored procedure results: Creating an elastic service for a stored procedure call using IBM WebSphere eXtreme Scale Techniques for caching query results in blocks for pagination support: Storing query results in pages or blocks rather than a single chunk in IBM WebSphere eXtreme... [More]
Episode 6 - Embedded vs. external grid, 2PC, HTTP Session replication, and choosing partitions. How to choose whether to embed the grid in application processes or run in separate processes: Run the grid in the application JVMs or separately? Why eXtreme Scale doesn't provide 2-phase commit protocol (2PC): Does IBM WebSphere eXtreme Scale support 2PC? Using eXtreme Scale for HTTP Session replication: HTTP Session replication with IBM WebSphere eXtreme Scale Best practice for choosing the number of partitions per process: Is one partition per... [More]
Episode 5 - Trial overview, heap based evcition, removeAll(), near cache and write-behind with sync replicas. An overview of the eXtreme Scale trial, including it's capabilities and limitations: Trial version of IBM WebSphere eXtreme Scale Using heap level based eviction with a traditional eviction strategy: Heap level triggered eviction in IBM WebSphere eXtreme Scale Using removeAll() as a high performance alternative to remove(): removeAll instead of remove in IBM WebSphere eXtreme Scale The near cache: What it is and when to use it: What is... [More]
Episode 4 - Clearing a map, Spring integration, and zones. How to efficiently clear the contents of a map: How to quickly empty a Map in IBM WebSphere eXtreme Scale Overview of eXtreme Scale Spring integration features: Spring Integration features in IBM WebSphere eXtreme Scale How to use eXtreme Scale zones to control primary and replica placement: Zones, what are they and how does IBM WebSphere eXtreme Scale use them
Episode 3 - JPALoaders, database synchronization, WAS integration, and JPA vs. ObjectGrid APIs. How to use JPALoaders for automatically integrating with relational databases: Automatic database integration with IBM WebSphere eXtreme Scale How to deal with third party or legacy applications changing a database directly without updating the cache: Handling stale data in IBM WebSphere eXtreme Scale How WebSphere eXtreme Scale integrates with WebSphere Application Server: Integration of IBM WebSphere eXtreme Scale with WebSphere Application Server... [More]
Episode 2 - L2 cache for JPA, write-behind and high availability. Using eXtreme Scale for a L2 cache for OpenJPA or Hibernate: OpenJPA/Hibernate L2 cache with WebSphere eXtreme Scale Write-behind database synchronization overview and use cases
Write behind: What is it and how does it work? WebSphere eXtreme Scale and Databases with more on write behind Achieving high availability with eXtreme Scale: High Availability: Data availability in WebSphere eXtreme Scale
Episode 1 - Preloading, duplicate data, dynamic map creation, and putAll(). Data preloading techniques; Loader plug-ins vs. Client loaders: Best ways to preload data Duplicating data over all partitions and denormalization: Normalization and reference data ObjectMap.putAll behaviors: Put verb mechanics explanation Dynamic map creation